Agency: UCA Consulting
Contact Name: Sendhu Ravi
Contact Email: sendhu@ucaconsulting.uk
Telephone: 07899914994
Job Type: Permenant
Location: London
Salary: £30,000 - £40,000
About the company:
Our client are very ambitious and talented team from a wide range of backgrounds. They leverage new technologies to help retailers drastically improve their profitability. They developing powerful products that rely on huge data sets and smart analytics created by experienced engineers and data scientists.
About the Role:
You will work with our sales executives at all points through the sales process. You will represent the technical side of the business to prospective clients with support from our tech team. You will be directly responsible for the growth of the business through closing sales allowing us to smash our milestones.
Requirements
You’ll need a minimum 2:1 degree (or equivalent) in either technical computing or a science with a strong bias towards IT.
One or two years programming experience preferably in python.
Excellent verbal and written communication skills
Mar 08, 2019
Full time
Agency: UCA Consulting
Contact Name: Sendhu Ravi
Contact Email: sendhu@ucaconsulting.uk
Telephone: 07899914994
Job Type: Permenant
Location: London
Salary: £30,000 - £40,000
About the company:
Our client are very ambitious and talented team from a wide range of backgrounds. They leverage new technologies to help retailers drastically improve their profitability. They developing powerful products that rely on huge data sets and smart analytics created by experienced engineers and data scientists.
About the Role:
You will work with our sales executives at all points through the sales process. You will represent the technical side of the business to prospective clients with support from our tech team. You will be directly responsible for the growth of the business through closing sales allowing us to smash our milestones.
Requirements
You’ll need a minimum 2:1 degree (or equivalent) in either technical computing or a science with a strong bias towards IT.
One or two years programming experience preferably in python.
Excellent verbal and written communication skills
Agency: UCA Consulting
Contact Name: Sendhu Ravi
Contact Email: sendhu@ucaconsulting.uk
Telephone: 07899914994
Job Type: Permanent
Location: London
Salary: £45,000 - £55,000
About the company:
Our client are very ambitious and talented team from a wide range of backgrounds. They leverage new technologies to help retailers drastically improve their profitability. They developing powerful products that rely on huge data sets and smart analytics created by experienced engineers and data scientists.
About the role:
You will work with our Head of Product to bring structure, predictability and accountability to our delivery process. As we scale you will ensure that no one is idle and everyone is comfortable. Day-to-day you’ll work with engineers and data scientists to unblock work and smash through milestones. You’ll make progress highly visible and ensure everyone communicates.
Requirements
Experience managing technical projects with a strong track record of delivery.
Experience executing a range of agile methodologies (Scrum, Kanban, XP etc.)
Excellent verbal and written communication skills
Mar 08, 2019
Full time
Agency: UCA Consulting
Contact Name: Sendhu Ravi
Contact Email: sendhu@ucaconsulting.uk
Telephone: 07899914994
Job Type: Permanent
Location: London
Salary: £45,000 - £55,000
About the company:
Our client are very ambitious and talented team from a wide range of backgrounds. They leverage new technologies to help retailers drastically improve their profitability. They developing powerful products that rely on huge data sets and smart analytics created by experienced engineers and data scientists.
About the role:
You will work with our Head of Product to bring structure, predictability and accountability to our delivery process. As we scale you will ensure that no one is idle and everyone is comfortable. Day-to-day you’ll work with engineers and data scientists to unblock work and smash through milestones. You’ll make progress highly visible and ensure everyone communicates.
Requirements
Experience managing technical projects with a strong track record of delivery.
Experience executing a range of agile methodologies (Scrum, Kanban, XP etc.)
Excellent verbal and written communication skills
We are working with a consultancy based in Central London who is looking to hire x2 Data Scientists to work on a large project for one of the telecoms clients on an initial 6 month basis. You will be working with large volumes of structured/unstructured data and developing machine learning & AI /Models using Python/Scala. They are also ideally looking for someone who has experience with big dat ...... click apply for full job details
Nov 11, 2019
Full time
We are working with a consultancy based in Central London who is looking to hire x2 Data Scientists to work on a large project for one of the telecoms clients on an initial 6 month basis. You will be working with large volumes of structured/unstructured data and developing machine learning & AI /Models using Python/Scala. They are also ideally looking for someone who has experience with big dat ...... click apply for full job details
Consultant Data Scientist As a Consultant Data Scientist in Kainos, you'll be responsible for leading teams and developing high quality solutions that use AI and ML technologies to delight our customers and impact the lives of users worldwide. It's a fast-paced environment so it is important for you to make sound, reasoned decisions. You'll do this whilst learning about new technologies and approach ...... click apply for full job details
Nov 11, 2019
Full time
Consultant Data Scientist As a Consultant Data Scientist in Kainos, you'll be responsible for leading teams and developing high quality solutions that use AI and ML technologies to delight our customers and impact the lives of users worldwide. It's a fast-paced environment so it is important for you to make sound, reasoned decisions. You'll do this whilst learning about new technologies and approach ...... click apply for full job details
A Data Scientist is required by a global banking organisation to assist on the build out of a complex risk analytics platform. The successful individual will possess a background in statistical modelling, quantitative analytics, experimental design, time series analysis and data processing. A proven background of building, testing and deploying tools and APIs into production for reporting and data int ...... click apply for full job details
Nov 11, 2019
Full time
A Data Scientist is required by a global banking organisation to assist on the build out of a complex risk analytics platform. The successful individual will possess a background in statistical modelling, quantitative analytics, experimental design, time series analysis and data processing. A proven background of building, testing and deploying tools and APIs into production for reporting and data int ...... click apply for full job details
Big Data Engineer £600 per day 6-months Surrey As a Big Data Engineer, you will be migrating away from a Redshift data warehouse and introducing Spark using Airflow for orchestration. This will be for a food-based E-commerce company. THE COMPANY: This company focus on using data to drive their success. They are an E-commerce company who supply food and beverages across the UK. They are using Data Science algorithms to improve efficiency and reduce waste. They have established a data platform that allows Data Scientists to build their models on, however, they are not ready to use big data just yet. This is where you are required to come and make their platform, big data ready. THE ROLE: You will be working alongside Data Scientists to ensure they have the relevant data for them to build their models. You are required to have expertise building ETL pipelines in Python. Ideally, you will have worked with big data using Spark applications and should be familiar with using Airflow. They have an AWS environment but are moving away from Redshift. YOUR SKILLS AND EXPERIENCE: The ideal Big Data Engineer will have: A good understanding of AWS components: Redshift, S3, Lambdas, EC2 Strong coding skills in Python Experience using big data: Spark Worked with orchestration tools like Airflow HOW TO APPLY: Please register your interest by sending your CV via the Apply link on this page.
Nov 11, 2019
Contractor
Big Data Engineer £600 per day 6-months Surrey As a Big Data Engineer, you will be migrating away from a Redshift data warehouse and introducing Spark using Airflow for orchestration. This will be for a food-based E-commerce company. THE COMPANY: This company focus on using data to drive their success. They are an E-commerce company who supply food and beverages across the UK. They are using Data Science algorithms to improve efficiency and reduce waste. They have established a data platform that allows Data Scientists to build their models on, however, they are not ready to use big data just yet. This is where you are required to come and make their platform, big data ready. THE ROLE: You will be working alongside Data Scientists to ensure they have the relevant data for them to build their models. You are required to have expertise building ETL pipelines in Python. Ideally, you will have worked with big data using Spark applications and should be familiar with using Airflow. They have an AWS environment but are moving away from Redshift. YOUR SKILLS AND EXPERIENCE: The ideal Big Data Engineer will have: A good understanding of AWS components: Redshift, S3, Lambdas, EC2 Strong coding skills in Python Experience using big data: Spark Worked with orchestration tools like Airflow HOW TO APPLY: Please register your interest by sending your CV via the Apply link on this page.
Data Scientist - forecasting Manchester £45,000-£55,000 THE COMPANY This is a data-driven clothing ecommerce company focusing on improving all of their business decisions using data, their forecasting team is investing heavily in finding their next Data Scientist to add huge value. THE ROLE As a Data Scientist in this forecasting team, you will report into the head of decision science and join a team of 60 people with huge amounts of scope for collaboration and sharing approaches and data science techniques. Financial modelling and forecasting using Python Defining specific problems and understanding what machine learning solutions, in Python, to build and why You will be required to effectively communicate technical concepts with non-technical stakeholders and senior management Example projects include forecasting performance, fraud protection and fincrime KEY SKILLS AND REQUIREMENTS Required: Commercial experience using Python and/or, as well as SQL The successful Data Scientist will have used Python and/or R to build and implement machine learning models in industry and be able to discuss why they built these, as well as the value that came off the back of these You will have worked directly with stakeholders and senior management previously on your projects Nice to have: Commercial experience using SAS Previous experience working with financial data or alongside marketing and sales teams - building machine learning models using Python HOW TO APPLY Please register your interest by sending your CV to Kian Dixon via the Apply link on this page. For more information about similar roles, please get in touch!
Nov 11, 2019
Full time
Data Scientist - forecasting Manchester £45,000-£55,000 THE COMPANY This is a data-driven clothing ecommerce company focusing on improving all of their business decisions using data, their forecasting team is investing heavily in finding their next Data Scientist to add huge value. THE ROLE As a Data Scientist in this forecasting team, you will report into the head of decision science and join a team of 60 people with huge amounts of scope for collaboration and sharing approaches and data science techniques. Financial modelling and forecasting using Python Defining specific problems and understanding what machine learning solutions, in Python, to build and why You will be required to effectively communicate technical concepts with non-technical stakeholders and senior management Example projects include forecasting performance, fraud protection and fincrime KEY SKILLS AND REQUIREMENTS Required: Commercial experience using Python and/or, as well as SQL The successful Data Scientist will have used Python and/or R to build and implement machine learning models in industry and be able to discuss why they built these, as well as the value that came off the back of these You will have worked directly with stakeholders and senior management previously on your projects Nice to have: Commercial experience using SAS Previous experience working with financial data or alongside marketing and sales teams - building machine learning models using Python HOW TO APPLY Please register your interest by sending your CV to Kian Dixon via the Apply link on this page. For more information about similar roles, please get in touch!
Job Role: Data Scientist Every functional area, in every industry, is on an AI Journey.The power of machine learning to dramatically improve company key performance indicators is being proven every day. But, although we feel every large organisation is on an AI journey, the path to value is unclear. There are three key barriers to deploying AI and machine learning at scale: · Building data pipelines th ...... click apply for full job details
Nov 11, 2019
Full time
Job Role: Data Scientist Every functional area, in every industry, is on an AI Journey.The power of machine learning to dramatically improve company key performance indicators is being proven every day. But, although we feel every large organisation is on an AI journey, the path to value is unclear. There are three key barriers to deploying AI and machine learning at scale: · Building data pipelines th ...... click apply for full job details
Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage Posted Date: Oct 7 2019 We are seeking a genomic data scientist, with a track record of supporting innovative, high quality research. The candidate should be comfortable managing and analysing large volumes of genetic and genomic data and results in a modern database and analytical environment. GSK aims to improve the number of successful late stage clinical trials for innovative medicines, by both identifying and advancing drug targets that have strong evidence of a causal role in disease biology. The Human Genetics team leverages major scientific and technological advances, including investment in biobanks linked to large-scale human health databases, cutting-edge informatics platforms, breakthrough understanding of biological pathways, functional genomics capabilities built upon rapid progress in gene editing, and leading industry-academia partnerships, in order to identify the best targets and to continue evaluation of targets through their life in the pipeline. The successful candidate will work in a multidisciplinary, collaborative and scientifically driven environment, interacting with GSK scientists and key academic collaborators to advance drug discovery and clinical development in multiple disease areas. This research will leverage industry-leading data and compute resources, to address important drug discovery and development challenges, to directly impact GSK's R&D pipeline, and to publish in top scientific journals. The selected Genomic Data Scientist(s) will: Develop and implement robust software platforms to efficiently ingest, curate, query and analyze, human genetic, genomic, and clinical/phenotypic data, to inform target selection and validation decisions across a range of disease areas. Participate in project teams of GSK scientists and external collaborators to develop novel genetic data analyses, providing and following best practices of efficiently work with large volumes of data on modern storage and computational platforms. Identify and quickly prototype creative solutions to challenging scientific questions. Develop analytics tools and applications to enhance the productivity of scientists within Human Genetics and across the Research organization. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Ph.D. or equivalent experience in genetics, bioinformatics, or a related field. Strong programming skills in SQL and either R or Python, with track record of developing production quality software pipelines, applications, or packages/libraries. Proficient in management and analysis of large volumes of genetic/genomic data and results, in a modern database and analytics environment. Ability to understand and discuss basic genetic analyses and data types. Demonstrated skills in working in teams to find creative ways to address scientific questions. Excellent communication and influencing skills and developing leadership skills for working with multidisciplinary teams and with international colleagues. Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience working in a distributed data and compute environment ( e.g. Apache Hadoop ecosystem). Experience with Apache SparkTM is a significant advantage. Experience with data and/or results from large scale genetic association studies (e.g. GWAS or PheWAS) or large scale functional genomic data. Experience with complex longitudinal human clinical/phenotype data, e.g. from electronic health records, epidemiological cohorts, or clinical trials. Why GSK? Our values and expectationsare at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Agile and distributed decision-making - using evidence and applying judgement to balance pace, rigour and risk. Managing individual and team performance. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. Implementing change initiatives and leading change. Sustaining energy and well-being, building resilience in teams. Continuously looking for opportunities to learn, build skills and share learning both internally and externally. Developing people and building a talent pipeline. Translating strategy into action - a compelling narrative, motivating others, setting objectives and delegation. Building strong relationships and collaboration, managing trusted stakeholder relationships internally and externally. Budgeting and forecasting, commercial and financial acumen. GSKGenetics As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. We're open to all talent - whatever your gender, disability, marital status, religion or belief, age, race, sexual orientation, ethnic or national origin. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is voluntary. This will be used to help us understand how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information, it is not used in any part of the selection process and we will treat your information confidentially and use it anonymously. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
Nov 11, 2019
Full time
Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage Posted Date: Oct 7 2019 We are seeking a genomic data scientist, with a track record of supporting innovative, high quality research. The candidate should be comfortable managing and analysing large volumes of genetic and genomic data and results in a modern database and analytical environment. GSK aims to improve the number of successful late stage clinical trials for innovative medicines, by both identifying and advancing drug targets that have strong evidence of a causal role in disease biology. The Human Genetics team leverages major scientific and technological advances, including investment in biobanks linked to large-scale human health databases, cutting-edge informatics platforms, breakthrough understanding of biological pathways, functional genomics capabilities built upon rapid progress in gene editing, and leading industry-academia partnerships, in order to identify the best targets and to continue evaluation of targets through their life in the pipeline. The successful candidate will work in a multidisciplinary, collaborative and scientifically driven environment, interacting with GSK scientists and key academic collaborators to advance drug discovery and clinical development in multiple disease areas. This research will leverage industry-leading data and compute resources, to address important drug discovery and development challenges, to directly impact GSK's R&D pipeline, and to publish in top scientific journals. The selected Genomic Data Scientist(s) will: Develop and implement robust software platforms to efficiently ingest, curate, query and analyze, human genetic, genomic, and clinical/phenotypic data, to inform target selection and validation decisions across a range of disease areas. Participate in project teams of GSK scientists and external collaborators to develop novel genetic data analyses, providing and following best practices of efficiently work with large volumes of data on modern storage and computational platforms. Identify and quickly prototype creative solutions to challenging scientific questions. Develop analytics tools and applications to enhance the productivity of scientists within Human Genetics and across the Research organization. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Ph.D. or equivalent experience in genetics, bioinformatics, or a related field. Strong programming skills in SQL and either R or Python, with track record of developing production quality software pipelines, applications, or packages/libraries. Proficient in management and analysis of large volumes of genetic/genomic data and results, in a modern database and analytics environment. Ability to understand and discuss basic genetic analyses and data types. Demonstrated skills in working in teams to find creative ways to address scientific questions. Excellent communication and influencing skills and developing leadership skills for working with multidisciplinary teams and with international colleagues. Preferred Qualifications: If you have the following characteristics, it would be a plus: Experience working in a distributed data and compute environment ( e.g. Apache Hadoop ecosystem). Experience with Apache SparkTM is a significant advantage. Experience with data and/or results from large scale genetic association studies (e.g. GWAS or PheWAS) or large scale functional genomic data. Experience with complex longitudinal human clinical/phenotype data, e.g. from electronic health records, epidemiological cohorts, or clinical trials. Why GSK? Our values and expectationsare at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Agile and distributed decision-making - using evidence and applying judgement to balance pace, rigour and risk. Managing individual and team performance. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. Implementing change initiatives and leading change. Sustaining energy and well-being, building resilience in teams. Continuously looking for opportunities to learn, build skills and share learning both internally and externally. Developing people and building a talent pipeline. Translating strategy into action - a compelling narrative, motivating others, setting objectives and delegation. Building strong relationships and collaboration, managing trusted stakeholder relationships internally and externally. Budgeting and forecasting, commercial and financial acumen. GSKGenetics As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. We're open to all talent - whatever your gender, disability, marital status, religion or belief, age, race, sexual orientation, ethnic or national origin. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is voluntary. This will be used to help us understand how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information, it is not used in any part of the selection process and we will treat your information confidentially and use it anonymously. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
Site Name: GSK House Posted Date: Nov 7 2019 Job Purpose The role is for a very senior and experienced Data Scientist, who is accountable for driving projects and improvement activities through technical consulting and value delivery leadership, for a range of Pharma supply chain activities within GSK across technologies including Machine Learning, AI, NLP, and related, Blockchain but also any new ones. The Data Scientist engage with senior CXO stakeholders to establish business proposals for Analytical products. She/He will execute advanced computational approaches to accelerate and optimize the pharmaceutical product supply chain, generating insights by merging diverse data streams, internal and external big data sources, structured and unstructured data and using modelling, statistical, data visualisation and decision analytics techniques. Advanced communications skills are critical for this role, with particular strengths required in distilling and communicating complex concepts, displaying information visually and making the patterns and insights revealed in data clear and compelling. They can communicate in language that all their stakeholders understand, and demonstrate the special skills involved in storytelling with data, both verbally and visually. They advise executives and product owners on the implications of the data for products, processes, and decisions and are highly skilled at rapidly building effective relationships with all levels of the organisational. The Data Scientist will lead and collaborate with others in GSK in discovery and experimentation in new and emerging data science technologies such as Machine/Deep Learning and Artificial Intelligence, exploit established statistical tools such as multi-variate regression analysis and utilise data modelling and optimisation tools. The Data Scientist will leverage structured sources of enterprise data and unstructered external data to provide insights to accelerate time to market, reduce inventory, increase first time right, increase OEE and OTIF. The Data Scientist is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools for building and implementing models, creating and using algorithms and simulations. They must have a proven ability to drive business results with their data-based insights. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes - data scientists make discoveries while swimming in data. It's their preferred method of navigating the world around them. Data scientists realize that they face technical limitations, but they don't allow that to bog down their search for novel solutions. Key Responsibilities Apply a broad array of analytics skills including machine learning, statistics, text-mining/NLP, and modeling to extract insights to structured and unstructured data sources and complementary real-world & digital information streams. Work on and often lead a variety of team-based projects providing expertise in analytical and computational approaches. Work with the latest tools and technologies to impact manufacturing and supply chain process Contribute to the Advanced Analytics plans for projects across all part of GSK Build and construct prototypes of Advanced Analytic work-flows Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Leverage analytics involving large datasets to refine and improve data models. Mine and analyze data from company databases to drive optimization and improvement of product development, end to end supply chain, quality and manufacturing business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop processes and tools to monitor and analyze model performance and data accuracy Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize end to end performance in the supply chain Use excellent written, verbal communication and digital media skills for coordinating across teams and engaging and influencing stakeholders. Demonstrate a passion and drive to learn and master new technologies and techniques. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Extensive understanding of ML, Statistics and AI methods (preferably Ph.D or Masters) and continuous use of BI and ML/AI systems. Deep expertise in handling enterprise implementation of algorithms and enterprise data handling. Experience in Supply Chain a must. Pharma industry a plus. Preferred Qualifications: If you have the following characteristics, it would be a plus: Strong problem solving skills with an emphasis on product development. A drive to learn and master new technologies and techniques. Excellent written and verbal communication skills for coordinating across teams and engaging and influencing stakeholders Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc Experience working with and creating data architectures Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Knowledge and experience creating and using a variety of advanced machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge and experience of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc. Experience using web services: Redshift, S3, Spark, DigitalOcean, etc. Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc Why GSK? Our values and expectationsare at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Agile and distributed decision-making - using evidence and applying judgement to balance pace, rigour and risk. Managing individual and team performance. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. Implementing change initiatives and leading change. Sustaining energy and well-being, building resilience in teams. Continuously looking for opportunities to learn, build skills and share learning both internally and externally. Developing people and building a talent pipeline. Translating strategy into action - a compelling narrative, motivating others, setting objectives and delegation. Building strong relationships and collaboration, managing trusted stakeholder relationships internally and externally. Budgeting and forecasting, commercial and financial acumen. *This is a job description to aide in the job posting, but does not include all job evaluation details. As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. We're open to all talent - whatever your gender, disability, marital status, religion or belief, age, race, sexual orientation, ethnic or national origin. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is voluntary. This will be used to help us understand how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information, it is not used in any part of the selection process and we will treat your information confidentially and use it anonymously. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site..... click apply for full job details
Nov 11, 2019
Full time
Site Name: GSK House Posted Date: Nov 7 2019 Job Purpose The role is for a very senior and experienced Data Scientist, who is accountable for driving projects and improvement activities through technical consulting and value delivery leadership, for a range of Pharma supply chain activities within GSK across technologies including Machine Learning, AI, NLP, and related, Blockchain but also any new ones. The Data Scientist engage with senior CXO stakeholders to establish business proposals for Analytical products. She/He will execute advanced computational approaches to accelerate and optimize the pharmaceutical product supply chain, generating insights by merging diverse data streams, internal and external big data sources, structured and unstructured data and using modelling, statistical, data visualisation and decision analytics techniques. Advanced communications skills are critical for this role, with particular strengths required in distilling and communicating complex concepts, displaying information visually and making the patterns and insights revealed in data clear and compelling. They can communicate in language that all their stakeholders understand, and demonstrate the special skills involved in storytelling with data, both verbally and visually. They advise executives and product owners on the implications of the data for products, processes, and decisions and are highly skilled at rapidly building effective relationships with all levels of the organisational. The Data Scientist will lead and collaborate with others in GSK in discovery and experimentation in new and emerging data science technologies such as Machine/Deep Learning and Artificial Intelligence, exploit established statistical tools such as multi-variate regression analysis and utilise data modelling and optimisation tools. The Data Scientist will leverage structured sources of enterprise data and unstructered external data to provide insights to accelerate time to market, reduce inventory, increase first time right, increase OEE and OTIF. The Data Scientist is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools for building and implementing models, creating and using algorithms and simulations. They must have a proven ability to drive business results with their data-based insights. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes - data scientists make discoveries while swimming in data. It's their preferred method of navigating the world around them. Data scientists realize that they face technical limitations, but they don't allow that to bog down their search for novel solutions. Key Responsibilities Apply a broad array of analytics skills including machine learning, statistics, text-mining/NLP, and modeling to extract insights to structured and unstructured data sources and complementary real-world & digital information streams. Work on and often lead a variety of team-based projects providing expertise in analytical and computational approaches. Work with the latest tools and technologies to impact manufacturing and supply chain process Contribute to the Advanced Analytics plans for projects across all part of GSK Build and construct prototypes of Advanced Analytic work-flows Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Leverage analytics involving large datasets to refine and improve data models. Mine and analyze data from company databases to drive optimization and improvement of product development, end to end supply chain, quality and manufacturing business strategies. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop processes and tools to monitor and analyze model performance and data accuracy Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize end to end performance in the supply chain Use excellent written, verbal communication and digital media skills for coordinating across teams and engaging and influencing stakeholders. Demonstrate a passion and drive to learn and master new technologies and techniques. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Extensive understanding of ML, Statistics and AI methods (preferably Ph.D or Masters) and continuous use of BI and ML/AI systems. Deep expertise in handling enterprise implementation of algorithms and enterprise data handling. Experience in Supply Chain a must. Pharma industry a plus. Preferred Qualifications: If you have the following characteristics, it would be a plus: Strong problem solving skills with an emphasis on product development. A drive to learn and master new technologies and techniques. Excellent written and verbal communication skills for coordinating across teams and engaging and influencing stakeholders Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc Experience working with and creating data architectures Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Knowledge and experience creating and using a variety of advanced machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge and experience of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc. Experience using web services: Redshift, S3, Spark, DigitalOcean, etc. Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc Why GSK? Our values and expectationsare at the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Agile and distributed decision-making - using evidence and applying judgement to balance pace, rigour and risk. Managing individual and team performance. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. Implementing change initiatives and leading change. Sustaining energy and well-being, building resilience in teams. Continuously looking for opportunities to learn, build skills and share learning both internally and externally. Developing people and building a talent pipeline. Translating strategy into action - a compelling narrative, motivating others, setting objectives and delegation. Building strong relationships and collaboration, managing trusted stakeholder relationships internally and externally. Budgeting and forecasting, commercial and financial acumen. *This is a job description to aide in the job posting, but does not include all job evaluation details. As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. We're open to all talent - whatever your gender, disability, marital status, religion or belief, age, race, sexual orientation, ethnic or national origin. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is voluntary. This will be used to help us understand how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information, it is not used in any part of the selection process and we will treat your information confidentially and use it anonymously. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site..... click apply for full job details
Junior Data Scientist An exciting new role has arisen for a Junior Data Scientist to join a well-known religious charity based in their head office in Milton Keynes, London. As the Junior Data Scientist you will be a very analytical focused individual with great skills in the statistical / data mining tools like Python or R. You will play a crucial role in utilising the data within the organisation ...... click apply for full job details
Nov 11, 2019
Full time
Junior Data Scientist An exciting new role has arisen for a Junior Data Scientist to join a well-known religious charity based in their head office in Milton Keynes, London. As the Junior Data Scientist you will be a very analytical focused individual with great skills in the statistical / data mining tools like Python or R. You will play a crucial role in utilising the data within the organisation ...... click apply for full job details
MACHINE LEARNING ENGINEER £60,000-£75,000 LONDON THE COMPANY This growing start-up is already is the leading energy tech company in the world. They provide renewable energy to some huge clients. They have over 600 customers signed up to use their energy and huge amounts of data as a result. They're using advanced machine learning algorithms to forecast energy consumption. This company has an incredibly flexible working culture; as long as you get the work done, they don't mind when or where you do it. THE ROLE As a machine learning engineer for this company you'll be: Delivering data for advanced analytics work Working closely with data scientists Building data pipelines programming in Python Productionising machine learning models Working with AWS Using docker for containerisation Working with Pandas and Scikit Learn SKILLS AND EXPERIENCE Commercial experience programming with python Commercial experience with AWS Commercial experience with Pandas and Scikit learn THE BENEFITS £60,000 - £75,000 Flexible working £1000 personal training budget HOW TO APPLY Please register your interest by sending your CV to Olivia Woodward via the Apply link on this page.
Nov 11, 2019
Full time
MACHINE LEARNING ENGINEER £60,000-£75,000 LONDON THE COMPANY This growing start-up is already is the leading energy tech company in the world. They provide renewable energy to some huge clients. They have over 600 customers signed up to use their energy and huge amounts of data as a result. They're using advanced machine learning algorithms to forecast energy consumption. This company has an incredibly flexible working culture; as long as you get the work done, they don't mind when or where you do it. THE ROLE As a machine learning engineer for this company you'll be: Delivering data for advanced analytics work Working closely with data scientists Building data pipelines programming in Python Productionising machine learning models Working with AWS Using docker for containerisation Working with Pandas and Scikit Learn SKILLS AND EXPERIENCE Commercial experience programming with python Commercial experience with AWS Commercial experience with Pandas and Scikit learn THE BENEFITS £60,000 - £75,000 Flexible working £1000 personal training budget HOW TO APPLY Please register your interest by sending your CV to Olivia Woodward via the Apply link on this page.
Junior to Senior Data Scientist | Imaging One of Oxford most prestigious R&D companies are looking to expand the analytics team rapidly due to a period of high growth and development. They are looking to hire talented data scientists in their analytics team, which remains the backbone of the company and their core product. This is a truly exciting opportunity to join a company that are pioneers and world leaders in their field, with a unique product like no other. Whether you are a fresh grad with great academics or a senior candidate with multiple years' experience, there is a position for you in this ground-breaking R&D team. Role responsibility: -Develop and deploy cutting edge analytics tools -Interpret extremely large data sets produced by their product -Create advanced analytics models (machine learning) -Code to a very high standard Essential/Desirable skills: -Experience with Python -Superb knowledge of algorithms and algorithmic development -Knowledge of Matlab/NumPy/SciPy/Pandas -Fantastic organisation/communication skills -A background in image processing would be advantageous Location: Oxford Salary: £35,000 - £70,000 Contact: Jacob Moore - Reqiva Ltd -
Nov 10, 2019
Full time
Junior to Senior Data Scientist | Imaging One of Oxford most prestigious R&D companies are looking to expand the analytics team rapidly due to a period of high growth and development. They are looking to hire talented data scientists in their analytics team, which remains the backbone of the company and their core product. This is a truly exciting opportunity to join a company that are pioneers and world leaders in their field, with a unique product like no other. Whether you are a fresh grad with great academics or a senior candidate with multiple years' experience, there is a position for you in this ground-breaking R&D team. Role responsibility: -Develop and deploy cutting edge analytics tools -Interpret extremely large data sets produced by their product -Create advanced analytics models (machine learning) -Code to a very high standard Essential/Desirable skills: -Experience with Python -Superb knowledge of algorithms and algorithmic development -Knowledge of Matlab/NumPy/SciPy/Pandas -Fantastic organisation/communication skills -A background in image processing would be advantageous Location: Oxford Salary: £35,000 - £70,000 Contact: Jacob Moore - Reqiva Ltd -
Innovative Lead Data Scientist London £70,000 - £80,000 + benefits + bonus Work for a company you love, doing cutting-edge machine learning! This is a brand-new opportunity to join a Data Science team that focus on pioneering leading ideas within this fresh area, driving the company to understand their customers better than anyone else for that competitive edge. As a Lead Data Scientist in this team, your primary motivation will be to explore state-of-the-art techniques to deliver high impact solutions. You will be using advanced statistical and machine learning modelling to improve customer experience by personalisation. THE COMPANY: This household name consulting company are committed to providing their customers with the best possible service, better than their competitors. No fear though, although a consultancy their remit is London-based. With a clear vision and business plan, they understand that the only way to do this is by championing a data-driven approach to every business decision. You will be joining a culture that pioneers ideas in natural language processing applied to customer analytics and gain excellent training and learning opportunities, reporting to one of the leaders in this field. THE ROLE: Performing experimental techniques and advanced tools to deliver machine learning models in real-time, generating massive impact. This is a great opportunity for a Lead Data Scientist to take on some more leadership responsibilities and be an inspiration to the rest of their team. Working closely with the CRM team to drive personalisation by using customer data to deliver machine learning models in Python and/or R Projects include scanning customer emails using NLP techniques, in Python, to determine customer behaviour and create personalisation YOUR SKILLS AND EXPERIENCE: Extensive experience using Python and/or R and google cloud platform The successful candidate will have commercial experience delivering machine learning models in customer analytics, using Python and/or R The ideal candidate will have experience leading a team and taking part in mentoring and training Experience deploying real-time system solutions in a commercial role is desirable BENEFITS: £70,000-£80,000 Bonus HOW TO APPLY: Please register your interest by sending your CV to Kian Dixon via the Apply link on this page. For more information about similar roles, please get in touch!
Nov 10, 2019
Full time
Innovative Lead Data Scientist London £70,000 - £80,000 + benefits + bonus Work for a company you love, doing cutting-edge machine learning! This is a brand-new opportunity to join a Data Science team that focus on pioneering leading ideas within this fresh area, driving the company to understand their customers better than anyone else for that competitive edge. As a Lead Data Scientist in this team, your primary motivation will be to explore state-of-the-art techniques to deliver high impact solutions. You will be using advanced statistical and machine learning modelling to improve customer experience by personalisation. THE COMPANY: This household name consulting company are committed to providing their customers with the best possible service, better than their competitors. No fear though, although a consultancy their remit is London-based. With a clear vision and business plan, they understand that the only way to do this is by championing a data-driven approach to every business decision. You will be joining a culture that pioneers ideas in natural language processing applied to customer analytics and gain excellent training and learning opportunities, reporting to one of the leaders in this field. THE ROLE: Performing experimental techniques and advanced tools to deliver machine learning models in real-time, generating massive impact. This is a great opportunity for a Lead Data Scientist to take on some more leadership responsibilities and be an inspiration to the rest of their team. Working closely with the CRM team to drive personalisation by using customer data to deliver machine learning models in Python and/or R Projects include scanning customer emails using NLP techniques, in Python, to determine customer behaviour and create personalisation YOUR SKILLS AND EXPERIENCE: Extensive experience using Python and/or R and google cloud platform The successful candidate will have commercial experience delivering machine learning models in customer analytics, using Python and/or R The ideal candidate will have experience leading a team and taking part in mentoring and training Experience deploying real-time system solutions in a commercial role is desirable BENEFITS: £70,000-£80,000 Bonus HOW TO APPLY: Please register your interest by sending your CV to Kian Dixon via the Apply link on this page. For more information about similar roles, please get in touch!
Lead Data Engineer Lead Data Engineer required by my truly amazing public sector client in Canary Wharf, London. They do significant work protecting the best interests of the public whilst working independently of the Government. They are a diverse and vibrant organisation that also offer an outstanding benefits package and huge pension whilst also offering supported development opportunities to build a career! The data and digital landscape is evolving and the organisation is a leading light in modernising the government approach. Data Services' are not your ordinary government department, it is an innovative team engineering an enterprise data hub and external facing data exchange that will revolutionise the way that the organisation and its stakeholders report, manage and analyse data. The Data Services Team Data Services is a collaborative and forward-thinking team comprised of product leads, data scientists, software engineers, user researchers, QA testers, technical and security architects, business and data business analysts. By using Agile approaches to delivery, we 'work out loud' encouraging open and inclusive discussions to drive development forward. The Role The Lead Data Engineer will lead technical development work and has the autonomy to shape and direct data technology development for the Data Services, and therefore influence the wider data architecture across the organisation. Key responsibilities End-to-end data architecture and handling approach in the Data Services platform. This will involve defining and communicating technical needs for data collection, ingestion, transformation and calculation. (Reporting to the Head of Data) Design pipelines, create proof of concepts to production, run functional tests, end to end regression testing, quality/automation tests Carry out data modelling and work closely with data scientists Lead a team of engineers, supported by QA and analyst staff across London and Glasgow Be informed about business needs and data journeys Deliver continuous improvements to the functionality to the Data Service platform and evolve the platform to meet business needs accordingly Assure that your work and the work of colleagues meets governing standards Ensure principles of privacy and security are assessed and designed into our data solutions Encourage teamwork, communication and follow agile methodologies. Promote our team knowledge retention through documentation and providing training where required. Key stakeholder relationships Product Owners, who you will share your work with and discuss strategy for how the service is best able to support business needs The Data Services Analyst community, who will set the scope of your data engineering work through their research of user and business needs and by their designing data pipelines through writing user stories Fellow members of the Data Engineering community, who you will mentor and collaborate with to set the direction of the data service technology, data architecture and its functionality Data scientists, who will outline their requirements for data architecture and data set processes, for you to design and develop. Government Data privacy and information security staff, who will work with you to assure that security and privacy requirements are identified and addressed in solutions Specific skills and capabilities Essential: Hands on experience (including QA) in platforms such as Azure and the Hadoop ecosystem (HIVE, HDFS and Apache spark) Proven ability in designing pipelines, proof of concept to production, functional tests, end to end regression testing, quality automation testing and CI/CD Extensive experience in data Modelling, including dimensional models time series and data mining Master Data Management Experience working with and integrating into Business Intelligence tools Expert competency with Python and SQL Good knowledge of Linux Experience of effectively engaging and communicating technical concepts to a non-technical audience Business minded manager and engineering team leader Proven ability to understand business priorities and design, deliver and communicate technical solutions to meet them Experience developing engineer's technical capability Experience defining and implementing effective data engineering working practices in agile teams Ability to design and provide effective support for knowledge transfer / retention Proven experience of innovation and improving best practice Desirable: Experience working with privacy and information accreditation or assurance teams Experience in the delivery of data solutions capable of: being certified to an information security standard such as ISO27001 or equivalent holding UK Government OFFICIAL-sensitive or equivalent information meeting legal and regulatory requirements such as DPA or GDPR SQL Databases, such as MS SQL and/or Postgress Cloud/Big Data: HDInsight, S3, EMR NoSQL Databases, such as Neo4j Data Integration and ETL approaches Competency with Scala and/or Java Experience of metadata management This is a great opportunity to make a significant impact during a period of critical development.
Nov 10, 2019
Full time
Lead Data Engineer Lead Data Engineer required by my truly amazing public sector client in Canary Wharf, London. They do significant work protecting the best interests of the public whilst working independently of the Government. They are a diverse and vibrant organisation that also offer an outstanding benefits package and huge pension whilst also offering supported development opportunities to build a career! The data and digital landscape is evolving and the organisation is a leading light in modernising the government approach. Data Services' are not your ordinary government department, it is an innovative team engineering an enterprise data hub and external facing data exchange that will revolutionise the way that the organisation and its stakeholders report, manage and analyse data. The Data Services Team Data Services is a collaborative and forward-thinking team comprised of product leads, data scientists, software engineers, user researchers, QA testers, technical and security architects, business and data business analysts. By using Agile approaches to delivery, we 'work out loud' encouraging open and inclusive discussions to drive development forward. The Role The Lead Data Engineer will lead technical development work and has the autonomy to shape and direct data technology development for the Data Services, and therefore influence the wider data architecture across the organisation. Key responsibilities End-to-end data architecture and handling approach in the Data Services platform. This will involve defining and communicating technical needs for data collection, ingestion, transformation and calculation. (Reporting to the Head of Data) Design pipelines, create proof of concepts to production, run functional tests, end to end regression testing, quality/automation tests Carry out data modelling and work closely with data scientists Lead a team of engineers, supported by QA and analyst staff across London and Glasgow Be informed about business needs and data journeys Deliver continuous improvements to the functionality to the Data Service platform and evolve the platform to meet business needs accordingly Assure that your work and the work of colleagues meets governing standards Ensure principles of privacy and security are assessed and designed into our data solutions Encourage teamwork, communication and follow agile methodologies. Promote our team knowledge retention through documentation and providing training where required. Key stakeholder relationships Product Owners, who you will share your work with and discuss strategy for how the service is best able to support business needs The Data Services Analyst community, who will set the scope of your data engineering work through their research of user and business needs and by their designing data pipelines through writing user stories Fellow members of the Data Engineering community, who you will mentor and collaborate with to set the direction of the data service technology, data architecture and its functionality Data scientists, who will outline their requirements for data architecture and data set processes, for you to design and develop. Government Data privacy and information security staff, who will work with you to assure that security and privacy requirements are identified and addressed in solutions Specific skills and capabilities Essential: Hands on experience (including QA) in platforms such as Azure and the Hadoop ecosystem (HIVE, HDFS and Apache spark) Proven ability in designing pipelines, proof of concept to production, functional tests, end to end regression testing, quality automation testing and CI/CD Extensive experience in data Modelling, including dimensional models time series and data mining Master Data Management Experience working with and integrating into Business Intelligence tools Expert competency with Python and SQL Good knowledge of Linux Experience of effectively engaging and communicating technical concepts to a non-technical audience Business minded manager and engineering team leader Proven ability to understand business priorities and design, deliver and communicate technical solutions to meet them Experience developing engineer's technical capability Experience defining and implementing effective data engineering working practices in agile teams Ability to design and provide effective support for knowledge transfer / retention Proven experience of innovation and improving best practice Desirable: Experience working with privacy and information accreditation or assurance teams Experience in the delivery of data solutions capable of: being certified to an information security standard such as ISO27001 or equivalent holding UK Government OFFICIAL-sensitive or equivalent information meeting legal and regulatory requirements such as DPA or GDPR SQL Databases, such as MS SQL and/or Postgress Cloud/Big Data: HDInsight, S3, EMR NoSQL Databases, such as Neo4j Data Integration and ETL approaches Competency with Scala and/or Java Experience of metadata management This is a great opportunity to make a significant impact during a period of critical development.
Job description We are currently recruiting for a Full Stack Senior Developer to join our London based Legal Technology team in IT. As a Full Stack Senior Developer, you will join a cross-functional Agile development team comprised of developers, data scientists, legal experts, business analysts and testers; you'll work upon a specific work stream developing legal applications and services, owning changes from development through to deployment. Projects include: machine learning to automate document review and semantic analysis, integrate vendor products using API-first development and workflows developed using light weight micro-services architecture. We use cutting-edge technology stack, with a DevOps culture focused on continuous integrations and delivery, which currently encompasses .Net Core, Docker, Kubernetes, Azure Cloud and Chef. Training will be provided where required, to help develop skills in technology and for professional development. Department purpose Legal Technology - Advanced Delivery The Advanced Delivery team was created with the aim of bringing the firms collective knowledge to the forefront of the technological challenge. It delivers new solutions designed for clients, who face constant pressure to strike the optimal balance of cost, quality and risk combined with the need to deliver more for less, against a backdrop of increasing regulation and public scrutiny. We are helping them to overcome those challenges by broadening our means of legal services delivery to ensure we support our clients as efficiently and cost-effectively as possible. We have directed our innovative initiatives to maximising the benefit our clients get from us. We call our response to this challenge Advanced Delivery. Through it we offer a range of high-quality resourcing and technology options which is unique in the flexibility it offers to clients. Together with clients we design solutions which combine these capabilities with our core law firm expertise. Role and responsibilities As a Full Stack Senior Developer, you will be responsible for the design and development of components across the full-stack of web application development, from back-end service and server side processing, data access design and implementation, to front-end web development with relevant frameworks such as Angular. As a Developer by heart, who is passionate in taking complex business problems and converting them into elegant solutions with emphasis on modern web standards, proven patterns & practices and scalability you will be responsible for working in teams designing and building cloud scale web applications. Design and Develop fully functional application components, features and services. Consistently develop and deliver high-quality, low-defect, maintainable and robust code. Be part of a strong, creative, cross-functional project team, designing, building and testing new products, services and infrastructure. Ensure quality through adherence to coding standards and technical best practices and through mentorship, feedback and paired programming. Ensure the quality of development deliverables through quality control processes and unit testing. Provide technical expertise and support for service management in the resolution of complex incidents and problems. Oversee and assist with the transition of products and services into operational use. Key requirements Business competencies Having an open mind to consider all alternatives when making technology decisions. Excellent communication and presentation skills, both orally and written. Ability to develop good working relationships across the breadth of the IT function and effectively share knowledge between individuals and teams to contribute to the overall effectiveness of project and service improvement work. Highly self-motivated, self-starter, who will undertake all activities to the highest professional standards. Experience of working in a global environment across international locations with an appreciation of multiple cultures. Strong awareness and adherence to best practices of coding, testing and deployment Ability to work independently and in a team setting. Knowledge Good understanding of the principles in working in an Agile Kanban process using the DevOps culture Strong awareness and adherence to best practices of coding, testing and deployment. Strong technical competency and proven experience in full stack development. Strong understanding of RESTful API and SOA architectures like Micro-services. Broad knowledge of the .NET Web stack (e.g. ASP.NET MVC, WCF, Entity Framework, Web API) architecture and development. Passionate for technology - curiosity towards new and emerging technology within web, cloud and multi-form-factor development, languages, frameworks and methodologies Experience Strong experience with C# application development using technologies including: .NET, JavaScript, C#, SQL Server and Database platforms and web services. Proven experience in structured development and build environments (continuous integration, test automation, automated configuration and deployment) Strong expertise in core front-end technologies (e.g. HTML, REST, CSS, JavaScript, JSON and relevant JS frameworks) Experience in both relational and non-relational databases. Experience building web services (e.g. SOAP, REST). Experience with Algorithms and Software Design. Experience in building Single Page Applications like Angular framework Experience in developing and executing unit tests to ensure and maintain code quality.
Nov 10, 2019
Full time
Job description We are currently recruiting for a Full Stack Senior Developer to join our London based Legal Technology team in IT. As a Full Stack Senior Developer, you will join a cross-functional Agile development team comprised of developers, data scientists, legal experts, business analysts and testers; you'll work upon a specific work stream developing legal applications and services, owning changes from development through to deployment. Projects include: machine learning to automate document review and semantic analysis, integrate vendor products using API-first development and workflows developed using light weight micro-services architecture. We use cutting-edge technology stack, with a DevOps culture focused on continuous integrations and delivery, which currently encompasses .Net Core, Docker, Kubernetes, Azure Cloud and Chef. Training will be provided where required, to help develop skills in technology and for professional development. Department purpose Legal Technology - Advanced Delivery The Advanced Delivery team was created with the aim of bringing the firms collective knowledge to the forefront of the technological challenge. It delivers new solutions designed for clients, who face constant pressure to strike the optimal balance of cost, quality and risk combined with the need to deliver more for less, against a backdrop of increasing regulation and public scrutiny. We are helping them to overcome those challenges by broadening our means of legal services delivery to ensure we support our clients as efficiently and cost-effectively as possible. We have directed our innovative initiatives to maximising the benefit our clients get from us. We call our response to this challenge Advanced Delivery. Through it we offer a range of high-quality resourcing and technology options which is unique in the flexibility it offers to clients. Together with clients we design solutions which combine these capabilities with our core law firm expertise. Role and responsibilities As a Full Stack Senior Developer, you will be responsible for the design and development of components across the full-stack of web application development, from back-end service and server side processing, data access design and implementation, to front-end web development with relevant frameworks such as Angular. As a Developer by heart, who is passionate in taking complex business problems and converting them into elegant solutions with emphasis on modern web standards, proven patterns & practices and scalability you will be responsible for working in teams designing and building cloud scale web applications. Design and Develop fully functional application components, features and services. Consistently develop and deliver high-quality, low-defect, maintainable and robust code. Be part of a strong, creative, cross-functional project team, designing, building and testing new products, services and infrastructure. Ensure quality through adherence to coding standards and technical best practices and through mentorship, feedback and paired programming. Ensure the quality of development deliverables through quality control processes and unit testing. Provide technical expertise and support for service management in the resolution of complex incidents and problems. Oversee and assist with the transition of products and services into operational use. Key requirements Business competencies Having an open mind to consider all alternatives when making technology decisions. Excellent communication and presentation skills, both orally and written. Ability to develop good working relationships across the breadth of the IT function and effectively share knowledge between individuals and teams to contribute to the overall effectiveness of project and service improvement work. Highly self-motivated, self-starter, who will undertake all activities to the highest professional standards. Experience of working in a global environment across international locations with an appreciation of multiple cultures. Strong awareness and adherence to best practices of coding, testing and deployment Ability to work independently and in a team setting. Knowledge Good understanding of the principles in working in an Agile Kanban process using the DevOps culture Strong awareness and adherence to best practices of coding, testing and deployment. Strong technical competency and proven experience in full stack development. Strong understanding of RESTful API and SOA architectures like Micro-services. Broad knowledge of the .NET Web stack (e.g. ASP.NET MVC, WCF, Entity Framework, Web API) architecture and development. Passionate for technology - curiosity towards new and emerging technology within web, cloud and multi-form-factor development, languages, frameworks and methodologies Experience Strong experience with C# application development using technologies including: .NET, JavaScript, C#, SQL Server and Database platforms and web services. Proven experience in structured development and build environments (continuous integration, test automation, automated configuration and deployment) Strong expertise in core front-end technologies (e.g. HTML, REST, CSS, JavaScript, JSON and relevant JS frameworks) Experience in both relational and non-relational databases. Experience building web services (e.g. SOAP, REST). Experience with Algorithms and Software Design. Experience in building Single Page Applications like Angular framework Experience in developing and executing unit tests to ensure and maintain code quality.
Data Engineer Central London 3-month Contract £550 per day As a Data Engineer, you are required to implement technologies to ingest real-time data and build Data Science models. You will be working for the global leading advertising technology company. THE COMPANY: This company are tremendously data-driven and base their success around the technologies that they use to market their product. They use data taken from their customers' locations to tailor their advertising so that their clients can see who to advertise to. They use some of the most advanced technology in the market to keep track of this data. THE ROLE: As a Data Engineer, you will be joining their Data team to support the Data Scientists, build their models to predict the necessary products to advertise based on their customers' locations. You are required to implement the real-time technologies such as PySpark and Kafka to cope with the vast volume of data that is ingested each second. You will be working on an AWS platform, so it is ideal that you are familiar with this cloud-based technology. YOUR SKILLS AND EXPERIENCE: The ideal Data Engineer will have: Experience working on cloud-based platforms such as AWS Expertise with Python Have worked with streaming technologies such as Spark and Kafka Exposure to liaising with senior stakeholders HOW TO APPLY: Please register your interest by sending your CV via the Apply link on this page.
Nov 10, 2019
Contractor
Data Engineer Central London 3-month Contract £550 per day As a Data Engineer, you are required to implement technologies to ingest real-time data and build Data Science models. You will be working for the global leading advertising technology company. THE COMPANY: This company are tremendously data-driven and base their success around the technologies that they use to market their product. They use data taken from their customers' locations to tailor their advertising so that their clients can see who to advertise to. They use some of the most advanced technology in the market to keep track of this data. THE ROLE: As a Data Engineer, you will be joining their Data team to support the Data Scientists, build their models to predict the necessary products to advertise based on their customers' locations. You are required to implement the real-time technologies such as PySpark and Kafka to cope with the vast volume of data that is ingested each second. You will be working on an AWS platform, so it is ideal that you are familiar with this cloud-based technology. YOUR SKILLS AND EXPERIENCE: The ideal Data Engineer will have: Experience working on cloud-based platforms such as AWS Expertise with Python Have worked with streaming technologies such as Spark and Kafka Exposure to liaising with senior stakeholders HOW TO APPLY: Please register your interest by sending your CV via the Apply link on this page.
SENIOR MACHINE LEARNING ENGINEER £90K-100K + BONUS + BENEFITS CENTRAL LONDON Incredible opportunity to join a rapid-growth company who are set to take the data world by storm. Using the latest tech, you will be integral to the development and future success of this never-before-seen project. Tech: Python, Pandas, NumPy, Docker, Tensorflow. THE COMPANY: You'll be joining a tech start-up, who have already gained numerous accolades from world-wide organisations. On an exciting journey to revolutionise the way data is structured and modelled in predictive analytics, you'll join at an explosive point on their roadmap to success. THE ROLE: As a Senior Machine Learning Engineer, you'll be sitting within a team of 3 world class Data Scientists and collaborate closely with them using state of the art tech, and boundless limitations. Specifically, you can expect to be involved in the following: Taking ownership of the code-base and ensuring an effective transition and integration of new algorithms in Python Productionising, deploying, and implementing ML algorithms and models using Docker Drive a positive change company-wide across culture, technology, and best-practice The opportunity to mentor junior colleagues, whilst building and developing on your own technical and soft skill set. YOUR SKILLS AND EXPERIENCE: As a Senior Machine Learning Engineer, you must have the following skills, attributes, and experiences. Strong python programming skills, proven in a commercial environment. Previous experience productionising Machine Learning models in a commercial environment, using Docker, Kubernetes, Sentry. Great knowledge of mathematical techniques underpinning predictive algorithms, and experience implementing these algorithms. The know-how to collaborate effectively with other business functions, specifically Data Science and Data Engineering teams. THE BENEFITS: The successful applicant will receive a salary - dependent on experience - between £90,000-£100,000. Additionally, you will receive a host of incredible benefits, including but not limited to a generous holiday package, bonus schemes, state of the art tech, pension fund, flexi-time and many more. HOW TO APPLY: Please register your interest by sending your CV to Francesca Arnold via the Apply link on this page.
Nov 10, 2019
Full time
SENIOR MACHINE LEARNING ENGINEER £90K-100K + BONUS + BENEFITS CENTRAL LONDON Incredible opportunity to join a rapid-growth company who are set to take the data world by storm. Using the latest tech, you will be integral to the development and future success of this never-before-seen project. Tech: Python, Pandas, NumPy, Docker, Tensorflow. THE COMPANY: You'll be joining a tech start-up, who have already gained numerous accolades from world-wide organisations. On an exciting journey to revolutionise the way data is structured and modelled in predictive analytics, you'll join at an explosive point on their roadmap to success. THE ROLE: As a Senior Machine Learning Engineer, you'll be sitting within a team of 3 world class Data Scientists and collaborate closely with them using state of the art tech, and boundless limitations. Specifically, you can expect to be involved in the following: Taking ownership of the code-base and ensuring an effective transition and integration of new algorithms in Python Productionising, deploying, and implementing ML algorithms and models using Docker Drive a positive change company-wide across culture, technology, and best-practice The opportunity to mentor junior colleagues, whilst building and developing on your own technical and soft skill set. YOUR SKILLS AND EXPERIENCE: As a Senior Machine Learning Engineer, you must have the following skills, attributes, and experiences. Strong python programming skills, proven in a commercial environment. Previous experience productionising Machine Learning models in a commercial environment, using Docker, Kubernetes, Sentry. Great knowledge of mathematical techniques underpinning predictive algorithms, and experience implementing these algorithms. The know-how to collaborate effectively with other business functions, specifically Data Science and Data Engineering teams. THE BENEFITS: The successful applicant will receive a salary - dependent on experience - between £90,000-£100,000. Additionally, you will receive a host of incredible benefits, including but not limited to a generous holiday package, bonus schemes, state of the art tech, pension fund, flexi-time and many more. HOW TO APPLY: Please register your interest by sending your CV to Francesca Arnold via the Apply link on this page.
About The AI Start-up This disruptive AI start-up has an outstanding opportunity for an accomplished Machine Learning Engineer to join the team as one of the company's first key hires. They recently closed a seed round of £1M+ and intend on making an additional 10-15 key hires throughout the year within their Data Science & Engineer team. Currently, they are building a cognitive engine on top of their existing knowledge graph to perform advanced analytics within the Financial Services domain and they are in need of a Machine Learning Engineer to join their ranks. About The Machine Learning Engineer Role: As a Machine Learning Engineer, you will have an exciting opportunity to develop both your technical and client servicing skills in an established tech environment. Key Responsibilities for the Machine Learning Engineer: * Designing, implementing and managing their in-house ML capabilities and library of models * Building and maintaining data sets by extracting meaningful information from various sources, especially free text * Helping design and implement a scalable workflow infrastructure * Identifying automation opportunities that will enable them to scale up the volume of the data we process * Developing expertise in applying ML to knowledge graphs * Keeping abreast of the latest literature and developments in the field About The Successful Machine Learning Engineer: If you are currently in a NLP Engineer, Machine Learning Engineer, Data Scientist or Data Engineer role this could be the ideal next step in your career within an exciting, disruptive tech company. Desired Skills and Competencies of the Machine Learning Engineer: * Ideally 2+ years' commercial experience in ML / DS, even better within a start-up * Expertise in Python and ability to write production-ready code * Knowledge of good engineer practice and principles (DevOps, back-end / infrastructure etc.) * PhD/MSc in discipline related to ML/NLP/DS/CS/DL or similar discipline The successful Machine Learning Engineer will be offered a highly competitive salary paying £40,000-£80,000 depending on experience, along with excellent company benefits and stock options.
Nov 10, 2019
Full time
About The AI Start-up This disruptive AI start-up has an outstanding opportunity for an accomplished Machine Learning Engineer to join the team as one of the company's first key hires. They recently closed a seed round of £1M+ and intend on making an additional 10-15 key hires throughout the year within their Data Science & Engineer team. Currently, they are building a cognitive engine on top of their existing knowledge graph to perform advanced analytics within the Financial Services domain and they are in need of a Machine Learning Engineer to join their ranks. About The Machine Learning Engineer Role: As a Machine Learning Engineer, you will have an exciting opportunity to develop both your technical and client servicing skills in an established tech environment. Key Responsibilities for the Machine Learning Engineer: * Designing, implementing and managing their in-house ML capabilities and library of models * Building and maintaining data sets by extracting meaningful information from various sources, especially free text * Helping design and implement a scalable workflow infrastructure * Identifying automation opportunities that will enable them to scale up the volume of the data we process * Developing expertise in applying ML to knowledge graphs * Keeping abreast of the latest literature and developments in the field About The Successful Machine Learning Engineer: If you are currently in a NLP Engineer, Machine Learning Engineer, Data Scientist or Data Engineer role this could be the ideal next step in your career within an exciting, disruptive tech company. Desired Skills and Competencies of the Machine Learning Engineer: * Ideally 2+ years' commercial experience in ML / DS, even better within a start-up * Expertise in Python and ability to write production-ready code * Knowledge of good engineer practice and principles (DevOps, back-end / infrastructure etc.) * PhD/MSc in discipline related to ML/NLP/DS/CS/DL or similar discipline The successful Machine Learning Engineer will be offered a highly competitive salary paying £40,000-£80,000 depending on experience, along with excellent company benefits and stock options.
If you join our Data Science Graduate Programme you'll be part of our Advanced Analytics function which leads the development and application of data science at the FCA. Its principle objective is delivering business value through the use of pioneering techniques. You'll be supporting our data scientists on projects from day one. You'll help deliver innovative solutions to solve challenging problems, improve FCA operations and advance our ability to proactively identify harm. For example, you could be deploying machine learning to build classifiers to support decision making. Or, implementing natural language processing to automate document analysis and utilising network analytics to identify transaction patterns. As you progress through the graduate programme, you'll get the opportunity to rotate across the organisation. You'll champion advanced analytics techniques and help departments understand how they can leverage their varied and unique data sets to unlock new insight. Working closely with stakeholders, you will shape and deliver data science projects to help resolve the department's business problems in novel ways, delivering tangible and positive change. At the end of the programme you'll have gained experience in both data science and financial services, working with diverse groups of stakeholders to solve real-world business problems using data science techniques and setting you up for a future career as a data scientist. We also offer an Economics Data Science track, for those who have some background or interest in economics. You will spend one year in the Economics Department, working alongside Economic Data Scientists. You will use data to understand how markets work and how to make them work better, and draw insights to support policy making and research. What we look for If you: graduated or are on course for a 2.1 in a quantitative degree enjoy working with data have proven analytical and problem-solving skills are a team player can communicate complex information in a clear and simple manner then we want to hear from you. Learning & Development After our induction and initial training programme you'll be benefit from working on a variety of projects, allowing you to put your skills into practice. Experimentation and continuous learning is at the heart of what it means to be a data scientist. Throughout your time at the FCA, you will be able to advance your capabilities through training initiatives, such as e-learning, take part in various events such as hackathons, and attend regular seminars with academics and thought leaders. You'll be supported by our experienced data scientists, who will mentor you throughout your time on the graduate programme. What we offer At the FCA you'll have the opportunity to make a difference. We offer all our graduates a competitive range of benefits, including: a base salary of £34,000, career and family leave, a performance based bonus, flexible working options, a non-contributory pension, charity and volunteering initiatives, a minimum of 25 days' holiday, sports and social clubs, private health care, a subsidised on-site fitness centre, free eye tests, a subsidised restaurant, and interest-free season ticket loans. We're proud to be a Stonewall Top 100 employer and we were recently awarded "Employer of the Year" at the Women in Finance awards. We're also signatories of the #NoBystanders pledge, and at recruitment stage are partnered with the service 'EmployAbility', who work to assist students and graduates with all disabilities into employment. We value the views of our people and listening to them is central to our success. This is why our staff network groups play such a significant role. They shape the environment we work in, the way we interact with one another and the way that we make our decisions. We want our people to be engaged and productive while at work, so we're committed to creating an environment that enables you to do your best work while maintaining your other commitments. To support this, we offer flexible working arrangements, the opportunity to work from home, a number of career and family leave provisions, and generous annual leave so you can take time off when you need or want to. PLEASE NOTE: We only accept ONE application per person therefore, please apply to your first choice programme. Any additional applications will not be progressed within the process.
Nov 10, 2019
Full time
If you join our Data Science Graduate Programme you'll be part of our Advanced Analytics function which leads the development and application of data science at the FCA. Its principle objective is delivering business value through the use of pioneering techniques. You'll be supporting our data scientists on projects from day one. You'll help deliver innovative solutions to solve challenging problems, improve FCA operations and advance our ability to proactively identify harm. For example, you could be deploying machine learning to build classifiers to support decision making. Or, implementing natural language processing to automate document analysis and utilising network analytics to identify transaction patterns. As you progress through the graduate programme, you'll get the opportunity to rotate across the organisation. You'll champion advanced analytics techniques and help departments understand how they can leverage their varied and unique data sets to unlock new insight. Working closely with stakeholders, you will shape and deliver data science projects to help resolve the department's business problems in novel ways, delivering tangible and positive change. At the end of the programme you'll have gained experience in both data science and financial services, working with diverse groups of stakeholders to solve real-world business problems using data science techniques and setting you up for a future career as a data scientist. We also offer an Economics Data Science track, for those who have some background or interest in economics. You will spend one year in the Economics Department, working alongside Economic Data Scientists. You will use data to understand how markets work and how to make them work better, and draw insights to support policy making and research. What we look for If you: graduated or are on course for a 2.1 in a quantitative degree enjoy working with data have proven analytical and problem-solving skills are a team player can communicate complex information in a clear and simple manner then we want to hear from you. Learning & Development After our induction and initial training programme you'll be benefit from working on a variety of projects, allowing you to put your skills into practice. Experimentation and continuous learning is at the heart of what it means to be a data scientist. Throughout your time at the FCA, you will be able to advance your capabilities through training initiatives, such as e-learning, take part in various events such as hackathons, and attend regular seminars with academics and thought leaders. You'll be supported by our experienced data scientists, who will mentor you throughout your time on the graduate programme. What we offer At the FCA you'll have the opportunity to make a difference. We offer all our graduates a competitive range of benefits, including: a base salary of £34,000, career and family leave, a performance based bonus, flexible working options, a non-contributory pension, charity and volunteering initiatives, a minimum of 25 days' holiday, sports and social clubs, private health care, a subsidised on-site fitness centre, free eye tests, a subsidised restaurant, and interest-free season ticket loans. We're proud to be a Stonewall Top 100 employer and we were recently awarded "Employer of the Year" at the Women in Finance awards. We're also signatories of the #NoBystanders pledge, and at recruitment stage are partnered with the service 'EmployAbility', who work to assist students and graduates with all disabilities into employment. We value the views of our people and listening to them is central to our success. This is why our staff network groups play such a significant role. They shape the environment we work in, the way we interact with one another and the way that we make our decisions. We want our people to be engaged and productive while at work, so we're committed to creating an environment that enables you to do your best work while maintaining your other commitments. To support this, we offer flexible working arrangements, the opportunity to work from home, a number of career and family leave provisions, and generous annual leave so you can take time off when you need or want to. PLEASE NOTE: We only accept ONE application per person therefore, please apply to your first choice programme. Any additional applications will not be progressed within the process.
SENIOR DATA ENGINEER £50K-£60K + BONUS + BENEFITS EDINBURGH Ready for the next step in your career? Love working with the AWS stack? Eager to work in the charity industry? This is the role for you! Great opportunity to flex your AWS, Python, and NoSQL expertise in a flexible role, with exposure to elite Data Scientists. THE COMPANY: You'll be working for a forward-thinking organisation in the charity industry, who is dedicated to both their people and cutting-edge data. With clear opportunities for career progression, this company will nurture your development and provide space for growth! THE ROLE: Specifically, you can expect to be involved in the following: Driving business outcomes through agile principals, working in a sprint-based manner. Implement and solve varying challenges, and recommend new capabilities to simplify adoption and streamline processes in AWS. Work closely with the Data Science team to optimise production. YOUR SKILLS AND EXPERIENCE: As a Senior Data Engineer, you must have the following skills, attributes, and experiences. Educated to a Bachelors degree in a relevant subject area Proven, hands-on experience leading large-scale global analytics projects using AWS, Python. Deep understanding of database and analytic tech, BI reporting, and Dashboard development, MPP, NoSQL. Expertise in the AWS stack, proven in a commercial setting (EC2, Glue, S3, Dynamo DB). THE BENEFITS: The successful applicant will receive a salary - dependent on experience - between £50,000-£60,000. Additionally, you will receive a host of incredible benefits, included but not limited to a great holiday package, bonus scheme, pension fund and many more. HOW TO APPLY: Please register your interest by sending your CV to Francesca Arnold via the Apply link on this page.
Nov 10, 2019
Full time
SENIOR DATA ENGINEER £50K-£60K + BONUS + BENEFITS EDINBURGH Ready for the next step in your career? Love working with the AWS stack? Eager to work in the charity industry? This is the role for you! Great opportunity to flex your AWS, Python, and NoSQL expertise in a flexible role, with exposure to elite Data Scientists. THE COMPANY: You'll be working for a forward-thinking organisation in the charity industry, who is dedicated to both their people and cutting-edge data. With clear opportunities for career progression, this company will nurture your development and provide space for growth! THE ROLE: Specifically, you can expect to be involved in the following: Driving business outcomes through agile principals, working in a sprint-based manner. Implement and solve varying challenges, and recommend new capabilities to simplify adoption and streamline processes in AWS. Work closely with the Data Science team to optimise production. YOUR SKILLS AND EXPERIENCE: As a Senior Data Engineer, you must have the following skills, attributes, and experiences. Educated to a Bachelors degree in a relevant subject area Proven, hands-on experience leading large-scale global analytics projects using AWS, Python. Deep understanding of database and analytic tech, BI reporting, and Dashboard development, MPP, NoSQL. Expertise in the AWS stack, proven in a commercial setting (EC2, Glue, S3, Dynamo DB). THE BENEFITS: The successful applicant will receive a salary - dependent on experience - between £50,000-£60,000. Additionally, you will receive a host of incredible benefits, included but not limited to a great holiday package, bonus scheme, pension fund and many more. HOW TO APPLY: Please register your interest by sending your CV to Francesca Arnold via the Apply link on this page.
If you join our Data Science Graduate Internship, you'll work with our Advanced Analytics function which leads the development and application of data science at the FCA. Its principle objective is delivering business value through the use of pioneering techniques. You'll support our data scientists on projects and help deliver innovative solutions to solve challenging problems. For example, you could be deploying machine learning to build classifiers to support decision making. Or, implementing natural language processing to automate document analysis and utilising network analytics to identify transaction patterns. At the end of the internship you'll have gained experience in both data science and financial services, working with diverse groups of stakeholders to solve real-world business problems. And, if you're successful, you could be offered a place on our Data Science Graduate Programme in 2021. WHAT WE LOOK FOR If you're on course for a 2.1 in a quantitative degree have experience working with data can code in Python or R have proven analytical and problem-solving skills are a team player can communicate complex information in a clear and simple manner then we want to hear from you. WHAT WE OFFER At the FCA you'll have the opportunity to make a difference. We offer all our summer interns a competitive range of benefits, including: a base salary of £24,000 (pro-rata), a subsidised on-site fitness centre, a subsidised restaurant, and charity and volunteering initiatives We're proud to be a Stonewall Top 100 employer and we were recently awarded "Employer of the Year" at the Women in Finance awards. We're also signatories of the #NoBystanders pledge, and at recruitment stage are partnered with the service 'EmployAbility', who work to assist students and graduates with all disabilities into employment. We value the views of our people and listening to them is central to our success. This is why our staff network groups play such a significant role. They shape the environment we work in, the way we interact with one another and the way that we make our decisions. PLEASE NOTE: We only accept ONE application per person therefore, please apply to your first choice programme. Any additional applications will not be progressed within the process.
Nov 09, 2019
Full time
If you join our Data Science Graduate Internship, you'll work with our Advanced Analytics function which leads the development and application of data science at the FCA. Its principle objective is delivering business value through the use of pioneering techniques. You'll support our data scientists on projects and help deliver innovative solutions to solve challenging problems. For example, you could be deploying machine learning to build classifiers to support decision making. Or, implementing natural language processing to automate document analysis and utilising network analytics to identify transaction patterns. At the end of the internship you'll have gained experience in both data science and financial services, working with diverse groups of stakeholders to solve real-world business problems. And, if you're successful, you could be offered a place on our Data Science Graduate Programme in 2021. WHAT WE LOOK FOR If you're on course for a 2.1 in a quantitative degree have experience working with data can code in Python or R have proven analytical and problem-solving skills are a team player can communicate complex information in a clear and simple manner then we want to hear from you. WHAT WE OFFER At the FCA you'll have the opportunity to make a difference. We offer all our summer interns a competitive range of benefits, including: a base salary of £24,000 (pro-rata), a subsidised on-site fitness centre, a subsidised restaurant, and charity and volunteering initiatives We're proud to be a Stonewall Top 100 employer and we were recently awarded "Employer of the Year" at the Women in Finance awards. We're also signatories of the #NoBystanders pledge, and at recruitment stage are partnered with the service 'EmployAbility', who work to assist students and graduates with all disabilities into employment. We value the views of our people and listening to them is central to our success. This is why our staff network groups play such a significant role. They shape the environment we work in, the way we interact with one another and the way that we make our decisions. PLEASE NOTE: We only accept ONE application per person therefore, please apply to your first choice programme. Any additional applications will not be progressed within the process.
SC Cleared Data Scientist/Data Engineer - Contract London Location: Central London Duration: 3 Months+ Day Rate: £550-£650 London based client looking for Data Engineers/Scientists with strong development skills combined with areas of deeper knowledge of technologies and practice,..... click apply for full job details
Nov 09, 2019
Contractor
SC Cleared Data Scientist/Data Engineer - Contract London Location: Central London Duration: 3 Months+ Day Rate: £550-£650 London based client looking for Data Engineers/Scientists with strong development skills combined with areas of deeper knowledge of technologies and practice,..... click apply for full job details
Software Engineer - Java, Kotlin, Microservices, APi This is an excellent opportunity to join our client a successful Software House based in Cambridge city centre. In this company you will find a talented team of software engineers and data scientists working side by side to develop a cutting-edge platform ML and AI platform. Why should you apply? Whilst parts of the codebase are now mature, this is ...... click apply for full job details
Nov 09, 2019
Full time
Software Engineer - Java, Kotlin, Microservices, APi This is an excellent opportunity to join our client a successful Software House based in Cambridge city centre. In this company you will find a talented team of software engineers and data scientists working side by side to develop a cutting-edge platform ML and AI platform. Why should you apply? Whilst parts of the codebase are now mature, this is ...... click apply for full job details
Data Scientist Ipswich £50,000 (DOE) Exciting new role for a growing technology company in the centre of Ipswich. You will work on the delivery of a number of data insight products and services, for a business who are building out a new data team. Making the most of your data analytics and machine learning skills, you'll be building solutions that identify valuable business insights for a broad range of high-profile clients. You'll need to have a strong grasp of analytics, math, and stats. You'll be a natural problem solver, and have a passion for machine learning. The Data Scientist will analyse large amounts of appropriate data to discover trends and patterns. You'll be pre-processing an amount of structured and unstructured data, and build predictive models and machine learning algorithms that can be delivered through client channels. We're looking for candidates from a data science natured role, who has experience of mining data, machine learning techniques, and knowledge of business intelligence tools. We will also need candidates to demonstrate their knowledge of R, SQL, and Python. If you're looking for the chance to play a pivotal role in the expansion of this data team, please get in touch with Will at TEC Partners - /
Nov 09, 2019
Full time
Data Scientist Ipswich £50,000 (DOE) Exciting new role for a growing technology company in the centre of Ipswich. You will work on the delivery of a number of data insight products and services, for a business who are building out a new data team. Making the most of your data analytics and machine learning skills, you'll be building solutions that identify valuable business insights for a broad range of high-profile clients. You'll need to have a strong grasp of analytics, math, and stats. You'll be a natural problem solver, and have a passion for machine learning. The Data Scientist will analyse large amounts of appropriate data to discover trends and patterns. You'll be pre-processing an amount of structured and unstructured data, and build predictive models and machine learning algorithms that can be delivered through client channels. We're looking for candidates from a data science natured role, who has experience of mining data, machine learning techniques, and knowledge of business intelligence tools. We will also need candidates to demonstrate their knowledge of R, SQL, and Python. If you're looking for the chance to play a pivotal role in the expansion of this data team, please get in touch with Will at TEC Partners - /
Type - Perm Salary- £75,000-£125,000 Location - London Senior Associate Big Data Engineer - £75,000 -£85,000 VP Big Data Engineer - £85,000 - £120,000 *Bonus + Excellent benefits package on top of basic salary Big Data Engineer - UK - Spark - Big Data/Hadoop - Kafka - Global Financial Services - Java/Scala - Yarn - Data Pipelining - Devops Our established financial services company requires big data engineers. The role will entail building out the big data platform working alongside big data technologies such as spark and kafka. The big data engineer will work collaboratively with the data scientists integrating the cloud technologies and machine learning to further understand consumer behaviour and assist in building a better platform (adding relevant technologies). The role will entail engaging with key stakeholders and will learn a significant amount not only from a technology perspective but also in a commercial capacity. Required skills (at least 3 skills of the following): Big Data/Hadoop Spark Kafka Scala or Java Data pipelining Yarn Python (nice to have) Key Activities: Requires a Data Engineer who is comfortable with a "hands on approach" Utilising big data technologies such as spark and kafka to help upscale avenues of income Work on multiple tasks Responsible for utilising python to provide data pipelines to data scientists Liaising with data science/machine learning team Please apply to the ad and send your latest CV to latest by the end of 12th November :00 to be considered. McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Nov 09, 2019
Full time
Type - Perm Salary- £75,000-£125,000 Location - London Senior Associate Big Data Engineer - £75,000 -£85,000 VP Big Data Engineer - £85,000 - £120,000 *Bonus + Excellent benefits package on top of basic salary Big Data Engineer - UK - Spark - Big Data/Hadoop - Kafka - Global Financial Services - Java/Scala - Yarn - Data Pipelining - Devops Our established financial services company requires big data engineers. The role will entail building out the big data platform working alongside big data technologies such as spark and kafka. The big data engineer will work collaboratively with the data scientists integrating the cloud technologies and machine learning to further understand consumer behaviour and assist in building a better platform (adding relevant technologies). The role will entail engaging with key stakeholders and will learn a significant amount not only from a technology perspective but also in a commercial capacity. Required skills (at least 3 skills of the following): Big Data/Hadoop Spark Kafka Scala or Java Data pipelining Yarn Python (nice to have) Key Activities: Requires a Data Engineer who is comfortable with a "hands on approach" Utilising big data technologies such as spark and kafka to help upscale avenues of income Work on multiple tasks Responsible for utilising python to provide data pipelines to data scientists Liaising with data science/machine learning team Please apply to the ad and send your latest CV to latest by the end of 12th November :00 to be considered. McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Senior Data Engineer (Python ETL Cloud Machine Learning). Would you like to work on complex and interesting systems that provide daily challenges; collaborate with a friendly and upbeat team, improve your skills and gain valuable knowledge of financial trading systems whilst enjoying a good work / life balance? You could be joining a global FinTech with excess of 2,500 institutional clients operating in over 60 global markets with a daily trading volume of $500B. As a Senior Data Engineer you will collaborate with the US team as the sole Data Engineer in the UK office; you'll be responsible for building and running a new data platform working with Data Scientists in London to build revenue generating services and products from the vast amount of data generated and stored. You will design and build data ingest pipelines to collect data from all parts of the company and from 3rd parties. The company is technology driven; you will be required to evaluate new tools and technologies and introduce these as appropriate. The current stack includes: BigQuery, Presto, Snowflake, Spark, Cloud (AWS, GCP, Joyent, OpenStack), Kafka, Pulsar, Storm, Kinesis within a DevOps environment. You will be working in a professional yet informal atmosphere in impressive, City based offices with breakout areas and a range of onsite facilities; you'll get to visit your US colleagues around twice a year with an initial two week period to get up to speed. Requirements: *Advanced Data Engineering experience *Good knowledge of scalable data processing engines (e.g. BigQuery, Presto, Snowflake, Spark) *Good knowledge of at least one Cloud platform (e.g. AWS, GCP, Joyent, OpenStack) *Strong Python coding skills with exposure to numerical Python (e.g. NumPy, Pandas, Jupyter) *Advocate of automation / DevOps *Experience with data streaming / processing technologies (e.g. Kafka, Pulsar, Storm, Kinesis) *Collaborative with excellent communication skills As a Senior Data Engineer you will earn a competitive salary (to £130k) plus bonus and benefits. Apply now or call to find out more about this Senior Data Engineer (Python ETL Cloud Machine Learning) opportunity.
Nov 09, 2019
Full time
Senior Data Engineer (Python ETL Cloud Machine Learning). Would you like to work on complex and interesting systems that provide daily challenges; collaborate with a friendly and upbeat team, improve your skills and gain valuable knowledge of financial trading systems whilst enjoying a good work / life balance? You could be joining a global FinTech with excess of 2,500 institutional clients operating in over 60 global markets with a daily trading volume of $500B. As a Senior Data Engineer you will collaborate with the US team as the sole Data Engineer in the UK office; you'll be responsible for building and running a new data platform working with Data Scientists in London to build revenue generating services and products from the vast amount of data generated and stored. You will design and build data ingest pipelines to collect data from all parts of the company and from 3rd parties. The company is technology driven; you will be required to evaluate new tools and technologies and introduce these as appropriate. The current stack includes: BigQuery, Presto, Snowflake, Spark, Cloud (AWS, GCP, Joyent, OpenStack), Kafka, Pulsar, Storm, Kinesis within a DevOps environment. You will be working in a professional yet informal atmosphere in impressive, City based offices with breakout areas and a range of onsite facilities; you'll get to visit your US colleagues around twice a year with an initial two week period to get up to speed. Requirements: *Advanced Data Engineering experience *Good knowledge of scalable data processing engines (e.g. BigQuery, Presto, Snowflake, Spark) *Good knowledge of at least one Cloud platform (e.g. AWS, GCP, Joyent, OpenStack) *Strong Python coding skills with exposure to numerical Python (e.g. NumPy, Pandas, Jupyter) *Advocate of automation / DevOps *Experience with data streaming / processing technologies (e.g. Kafka, Pulsar, Storm, Kinesis) *Collaborative with excellent communication skills As a Senior Data Engineer you will earn a competitive salary (to £130k) plus bonus and benefits. Apply now or call to find out more about this Senior Data Engineer (Python ETL Cloud Machine Learning) opportunity.
Data Scientists Antwerp, Belgium Negotiable + relocation & benefits Our client, a rapidly expanding tech company is looking for a Data Scientists to join their team in Antwerp. You'll work in a dynamic and multi-cultural environment, among the brightest minds sourced from over 20 different countries. They're looking for experienced machine learning practitioners and python programmers with a background in software engineering and in at least one of the following fields: Signal processing Geo-spatial data processing Natural Language processing Social network analysis Recommender system Adaptive experimentation techniques The Role You will help the team to improve upon current methods and models. With a practical mindset, you will bring these models into a production environment. Your software development experience will allow you to closely collaborate with our Engineering team to improve our models and push them through our release process. You will work in our headquarters in Antwerp (Belgium) or in Toronto (Canada) Depending on your domain of expertise: You will work with big data (GPS fixes and sensor data) from hundreds of thousands of users. You will train algorithms related to activity detection (type of transports, home/work location, etc.) and human behaviour (commuting, sporting, shopping, etc.). You will create machine learning pipelines capable of extracting insights from social interactions between users on our platforms You will design context-aware recommender systems Candidate Profile? You have a master's or PhD in computer science or a related field. You are fluent in Python programming and its machine learning stack You are an expert in machine learning and data modelling. You have knowledge/experience with software engineering and deployment to production You have experience with at least one of the fields listed above. You possess a deep understanding of clustering, manifold learning and predictive modelling techniques. You can use big data tools such as Spark for development You can work independently and take matters into your own hands.
Nov 09, 2019
Full time
Data Scientists Antwerp, Belgium Negotiable + relocation & benefits Our client, a rapidly expanding tech company is looking for a Data Scientists to join their team in Antwerp. You'll work in a dynamic and multi-cultural environment, among the brightest minds sourced from over 20 different countries. They're looking for experienced machine learning practitioners and python programmers with a background in software engineering and in at least one of the following fields: Signal processing Geo-spatial data processing Natural Language processing Social network analysis Recommender system Adaptive experimentation techniques The Role You will help the team to improve upon current methods and models. With a practical mindset, you will bring these models into a production environment. Your software development experience will allow you to closely collaborate with our Engineering team to improve our models and push them through our release process. You will work in our headquarters in Antwerp (Belgium) or in Toronto (Canada) Depending on your domain of expertise: You will work with big data (GPS fixes and sensor data) from hundreds of thousands of users. You will train algorithms related to activity detection (type of transports, home/work location, etc.) and human behaviour (commuting, sporting, shopping, etc.). You will create machine learning pipelines capable of extracting insights from social interactions between users on our platforms You will design context-aware recommender systems Candidate Profile? You have a master's or PhD in computer science or a related field. You are fluent in Python programming and its machine learning stack You are an expert in machine learning and data modelling. You have knowledge/experience with software engineering and deployment to production You have experience with at least one of the fields listed above. You possess a deep understanding of clustering, manifold learning and predictive modelling techniques. You can use big data tools such as Spark for development You can work independently and take matters into your own hands.
Data Engineer, Data Architect, Azure, Cloud, Infrastructure, AI, Machine Learning, Development, Deployment, Validation, SQL, ETL, Python, Data Modelling, Data Architecture, Building Pipelines, Statistics, Contract, London, 6 months I am working with a global fortune 500 company who require an experienced Data Engineer / Data Architect with an Azure stack focus to join on an initial 6 month contract in London. This contract vacancy will have a focus on architecture - building GDPR compliant architectures and data pipeline You'll work within a large, cross functional environment of experienced Data Engineers, Data Modellers, Data Scientists, analytics and AI building the Azure Cloud Infrastructure from the ground up. The successful Data Engineer / Data Architect will have commercial experience with some of these (more emphasis on data architecture tasks and less on the modelling tasks): Developing, constructing, testing and maintaining reliable architectures Find ways of improving data reliability, efficiency and quality with automation Utilising data to find tasks which can be automated Deploying sophisticated analytics programs, statistical and machine learning methods Preparing data for predictive and prescriptive modelling Building GDPR compliant data pipelines You'll boast skills such as: Extensive experience with data modelling and cleaning Experience building infrastructure as a code Experience building GDPR compliant infrastructure and pipelines Strong SQL/NoSQL, ETL/ELT and Python skills Extensive experience with the Azure product stack (Data Factory, Azure Data Lake, Azure DevOps, Azure Analytics, Azure Machine Learning) If you're available to start a 6 month contract in London as a Data Engineer / Data Architect working with the Azure suite and can start anytime from early to mid November then please apply. Data Engineer, Data Architect, Azure, Cloud, Infrastructure, AI, Machine Learning, Development, Deployment, Validation, SQL, ETL, Python, Data Modelling, Data Architecture, Building Pipelines, Statistics, Contract, London, 6 months Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Modis International Ltd UK is an Equal Opportunities Employer. By applying for this role your details will be submitted to Modis. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser: http://en-gb/candidate-privacy
Nov 09, 2019
Contractor
Data Engineer, Data Architect, Azure, Cloud, Infrastructure, AI, Machine Learning, Development, Deployment, Validation, SQL, ETL, Python, Data Modelling, Data Architecture, Building Pipelines, Statistics, Contract, London, 6 months I am working with a global fortune 500 company who require an experienced Data Engineer / Data Architect with an Azure stack focus to join on an initial 6 month contract in London. This contract vacancy will have a focus on architecture - building GDPR compliant architectures and data pipeline You'll work within a large, cross functional environment of experienced Data Engineers, Data Modellers, Data Scientists, analytics and AI building the Azure Cloud Infrastructure from the ground up. The successful Data Engineer / Data Architect will have commercial experience with some of these (more emphasis on data architecture tasks and less on the modelling tasks): Developing, constructing, testing and maintaining reliable architectures Find ways of improving data reliability, efficiency and quality with automation Utilising data to find tasks which can be automated Deploying sophisticated analytics programs, statistical and machine learning methods Preparing data for predictive and prescriptive modelling Building GDPR compliant data pipelines You'll boast skills such as: Extensive experience with data modelling and cleaning Experience building infrastructure as a code Experience building GDPR compliant infrastructure and pipelines Strong SQL/NoSQL, ETL/ELT and Python skills Extensive experience with the Azure product stack (Data Factory, Azure Data Lake, Azure DevOps, Azure Analytics, Azure Machine Learning) If you're available to start a 6 month contract in London as a Data Engineer / Data Architect working with the Azure suite and can start anytime from early to mid November then please apply. Data Engineer, Data Architect, Azure, Cloud, Infrastructure, AI, Machine Learning, Development, Deployment, Validation, SQL, ETL, Python, Data Modelling, Data Architecture, Building Pipelines, Statistics, Contract, London, 6 months Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Modis International Ltd UK is an Equal Opportunities Employer. By applying for this role your details will be submitted to Modis. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser: http://en-gb/candidate-privacy
Title- Data Engineer Salary- £60000-£75,000 Location- London Have you ever been bitten by the travel bug? Travellers have that desire to explore the world and experince different cultures, dive in to each experience and fully embrace each places uniqueness- have you ever been away and wished you knew where the locals ate? Where they shopped? Where the best place to listen to music or hang out with friends? My clients has built a truly connective app, to share ideas, experiences and let you know about the hidden diamonds of all your favourite places- never miss out again! If you want to help, whilst working in the office with all the mods and cons plus work with a team which is current and fresh, if you love travel and culture - this one is for you! They are looking for a passionate Data Engineer to join there fast expanding team. They want people with passion and who love solving problems. You'll be working alongside their data scientists, data analysts and business intelligence teams. Your main duties will be Deliver large scale algorithms in production Building suitable environments for deployment Parse and handle huge data sets Build and manage data pipeline architecture Design and implement internal process improvements Manage data integration with third party applications Manage requests and stakeholder requirements in a prioritised manner Which skills will I be using? Scala/Java and Python Spark, PySpark AWS (EMR, S3, Athena, Redshift) TDD and Automotive You'll adopt Agile methodologies This is an excellent opportunity to join with a fast scaling company, having recently completing yet another round of funding of over 22million, now is the time to join as they go on to acheive big things! Appply now for more information, contact Imogen moody on or
Nov 09, 2019
Full time
Title- Data Engineer Salary- £60000-£75,000 Location- London Have you ever been bitten by the travel bug? Travellers have that desire to explore the world and experince different cultures, dive in to each experience and fully embrace each places uniqueness- have you ever been away and wished you knew where the locals ate? Where they shopped? Where the best place to listen to music or hang out with friends? My clients has built a truly connective app, to share ideas, experiences and let you know about the hidden diamonds of all your favourite places- never miss out again! If you want to help, whilst working in the office with all the mods and cons plus work with a team which is current and fresh, if you love travel and culture - this one is for you! They are looking for a passionate Data Engineer to join there fast expanding team. They want people with passion and who love solving problems. You'll be working alongside their data scientists, data analysts and business intelligence teams. Your main duties will be Deliver large scale algorithms in production Building suitable environments for deployment Parse and handle huge data sets Build and manage data pipeline architecture Design and implement internal process improvements Manage data integration with third party applications Manage requests and stakeholder requirements in a prioritised manner Which skills will I be using? Scala/Java and Python Spark, PySpark AWS (EMR, S3, Athena, Redshift) TDD and Automotive You'll adopt Agile methodologies This is an excellent opportunity to join with a fast scaling company, having recently completing yet another round of funding of over 22million, now is the time to join as they go on to acheive big things! Appply now for more information, contact Imogen moody on or
Product Manager | FinTech | Waterloo based | £50,000 - £60,000 + Excellent Benefits Product Manager | FinTech | Credit | Finance | Start Up | Digital | Financial Services This role is providing the opportunity for an individual to work within a new exciting, start up company. After receiving recent funding, they are now looking to grow their Product team that will manage their new digital product upon release. The ideal Product Manager will love the idea of, leading by example and rolling up your sleeves to get things done. We will be looking to you to define the product roadmap, work iteratively between strategy, technology, product, operations and partners to deliver on documented requirements. You'll report into the Product Director but work fearlessly across the entire organisation to achieve customer- and company objectives. Key responsibilities: Build product strategy, including the definition of scope, capabilities, roadmap, and KPIs Own and articulate end-to-end product requirements across technology teams Responsible for product backlog prioritisation Effectively communicate strategies & trade-offs up to senior leaders and down to development teams Work with cross-functional teams including engineers, designers, data scientists and more Data-driven approach (customer and user feedback, SWOT analysis and competitive analysis) Experience and qualifications: 3+ years of Product Management experience Excellent written and verbal communication skills Knowledgeable in agile and lean development methodologies (e.g Jira) Working proficiency and communication skills in verbal and written English Understand the FinTech- and financial services space Ability to prioritise complex deliverables, have technical discussions and collaborate at all levels Usability tests, A/B testing, Group interviews and others. We want user centric product managers. Product Manager | FinTech | Waterloo based | £55,000 - £70,000 + Excellent Benefits Product Manager | FinTech | Credit | Finance | Start Up | Digital | Financial Services This opportunity provides the chance for a Product Manager to make a real impact in a growing start-up company, on a mission to change the face of the consumer finance industry forever. If you have the relevant skills and experience as shown above and want to hear more about this exciting opportunity then please APPLY now.
Nov 09, 2019
Full time
Product Manager | FinTech | Waterloo based | £50,000 - £60,000 + Excellent Benefits Product Manager | FinTech | Credit | Finance | Start Up | Digital | Financial Services This role is providing the opportunity for an individual to work within a new exciting, start up company. After receiving recent funding, they are now looking to grow their Product team that will manage their new digital product upon release. The ideal Product Manager will love the idea of, leading by example and rolling up your sleeves to get things done. We will be looking to you to define the product roadmap, work iteratively between strategy, technology, product, operations and partners to deliver on documented requirements. You'll report into the Product Director but work fearlessly across the entire organisation to achieve customer- and company objectives. Key responsibilities: Build product strategy, including the definition of scope, capabilities, roadmap, and KPIs Own and articulate end-to-end product requirements across technology teams Responsible for product backlog prioritisation Effectively communicate strategies & trade-offs up to senior leaders and down to development teams Work with cross-functional teams including engineers, designers, data scientists and more Data-driven approach (customer and user feedback, SWOT analysis and competitive analysis) Experience and qualifications: 3+ years of Product Management experience Excellent written and verbal communication skills Knowledgeable in agile and lean development methodologies (e.g Jira) Working proficiency and communication skills in verbal and written English Understand the FinTech- and financial services space Ability to prioritise complex deliverables, have technical discussions and collaborate at all levels Usability tests, A/B testing, Group interviews and others. We want user centric product managers. Product Manager | FinTech | Waterloo based | £55,000 - £70,000 + Excellent Benefits Product Manager | FinTech | Credit | Finance | Start Up | Digital | Financial Services This opportunity provides the chance for a Product Manager to make a real impact in a growing start-up company, on a mission to change the face of the consumer finance industry forever. If you have the relevant skills and experience as shown above and want to hear more about this exciting opportunity then please APPLY now.
As a Tech Lead within our Data and Analytics function, you will perform a crucial role in technically shaping and delivering our data and analytical product alongside our product owner. You will mentor other engineers in your team to instil agile principals, TDD approach and technical skill. This is a hand on role where you would be a project resource at least 50% of the time. At TUI, we never stop looking ahead, seeking new ways to delight our customers and grow our business. We recognise the power of digital and the massive contribution this brings to creating a truly unique and differentiated customer experience. TUI Group is the world's number one integrated tourism business. The Group umbrella consists of strong tour operators, 1,800 travel agencies and leading online portals, six airlines with more than 130 aircraft, over 300 hotels with 210,000 beds, twelve cruise liners and countless incoming agencies in all major holiday destinations around the globe. All this enables us to provide our 30 million customers with an unmatched holiday experience in 180 regions. What you will be doing Designing, prototyping, and implementing robust big-data applications using best-practice agile development processes You will be analytical in your thinking and work closely with our data scientists to bring to life advanced analytics to the consumer. Using creative thinking, contribute to the design of new data products. Building and leading a high-performance, tight-knit, agile, quality-focused team Fostering a team culture of innovation, pride in the craft, and mutual respect Providing technical and architectural oversight across multiple projects simultaneously Supporting the team by removing obstacles and helping the rest of the team deliver their stories What we are looking for A passionate senior engineer with a minimum of five years commercial data engineering experience Experience working with both modern compiled and dynamic / scripting languages: e.g. node, Go, Java 8, Scala, python. Experience in real-time analytics and streaming platforms (Spark, Kafka, etc.) Comfortable working in a dynamic environment with a certain degree of uncertainty Comfortable working with SQL / NoSQL An advocate of agile practices for rapid development of quality software, such as CI, TDD, and automated deployment Comfortable learning new technologies, languages, and tools on the job, to ensure that the product is not left behind in a rapidly evolving ecosystem A positive, collaborative mindset and a desire to deliver real business value to the customer Experience modelling and evolving complex data structures Real passion for big data and streaming technologies An ability to challenge us! We want people who can come in and shape the future of this business, not afraid to raise questions and help us improve. Experience using Amazon Web Services Working within TUI group TUI Travel's vision is to make travel experiences special. To fulfil this vision, we never stop looking ahead, seeking new ways to delight our customers and grow our business. We recognise the power of digital and the massive contribution this brings to creating a truly unique and differentiated customer experience. TUI Group is one of the world's leading leisure travel groups, with over 220 trusted brands in 180 countries and more than 30 million customers. Help make our customers smile and in return you'll be exceptionally rewarded with competitive salary, pension scheme, additional benefits include holiday, flight and foreign exchange discounts, a childcare voucher scheme and free annual travel insurance* Please visit our website for more information. How to apply Please apply online, we'll just need a few details from you and a copy of your latest CV.
Nov 09, 2019
Full time
As a Tech Lead within our Data and Analytics function, you will perform a crucial role in technically shaping and delivering our data and analytical product alongside our product owner. You will mentor other engineers in your team to instil agile principals, TDD approach and technical skill. This is a hand on role where you would be a project resource at least 50% of the time. At TUI, we never stop looking ahead, seeking new ways to delight our customers and grow our business. We recognise the power of digital and the massive contribution this brings to creating a truly unique and differentiated customer experience. TUI Group is the world's number one integrated tourism business. The Group umbrella consists of strong tour operators, 1,800 travel agencies and leading online portals, six airlines with more than 130 aircraft, over 300 hotels with 210,000 beds, twelve cruise liners and countless incoming agencies in all major holiday destinations around the globe. All this enables us to provide our 30 million customers with an unmatched holiday experience in 180 regions. What you will be doing Designing, prototyping, and implementing robust big-data applications using best-practice agile development processes You will be analytical in your thinking and work closely with our data scientists to bring to life advanced analytics to the consumer. Using creative thinking, contribute to the design of new data products. Building and leading a high-performance, tight-knit, agile, quality-focused team Fostering a team culture of innovation, pride in the craft, and mutual respect Providing technical and architectural oversight across multiple projects simultaneously Supporting the team by removing obstacles and helping the rest of the team deliver their stories What we are looking for A passionate senior engineer with a minimum of five years commercial data engineering experience Experience working with both modern compiled and dynamic / scripting languages: e.g. node, Go, Java 8, Scala, python. Experience in real-time analytics and streaming platforms (Spark, Kafka, etc.) Comfortable working in a dynamic environment with a certain degree of uncertainty Comfortable working with SQL / NoSQL An advocate of agile practices for rapid development of quality software, such as CI, TDD, and automated deployment Comfortable learning new technologies, languages, and tools on the job, to ensure that the product is not left behind in a rapidly evolving ecosystem A positive, collaborative mindset and a desire to deliver real business value to the customer Experience modelling and evolving complex data structures Real passion for big data and streaming technologies An ability to challenge us! We want people who can come in and shape the future of this business, not afraid to raise questions and help us improve. Experience using Amazon Web Services Working within TUI group TUI Travel's vision is to make travel experiences special. To fulfil this vision, we never stop looking ahead, seeking new ways to delight our customers and grow our business. We recognise the power of digital and the massive contribution this brings to creating a truly unique and differentiated customer experience. TUI Group is one of the world's leading leisure travel groups, with over 220 trusted brands in 180 countries and more than 30 million customers. Help make our customers smile and in return you'll be exceptionally rewarded with competitive salary, pension scheme, additional benefits include holiday, flight and foreign exchange discounts, a childcare voucher scheme and free annual travel insurance* Please visit our website for more information. How to apply Please apply online, we'll just need a few details from you and a copy of your latest CV.
Role: Senior Data Scientist Location: London A Predictive Data Science Company are looking to add a Senior Data Scientist into their team. The role is suitable for someone with a strong academic background and 4+ years' industry experience. The successful candidate will be help all parts of the company utilise data to optimise improve product development, marketing techniques and business strategies. Required Senior Data Scientist skills & experience: MSc or PhD in Quantitative field (Maths, Statistics, Computer Science etc.) 4+ years' industry experience Experience of Machine Learning techniques Statistical Computer Language experience (Python, R, SQL) Strong understanding of Data manipulation & wrangling Salary: £65,000-£100,000 depending on experience Interviews are commencing from Monday 11th November and the client are looking to get the right person started as soon as possible. If this role is of interest or you require more information, please get in touch with an updated CV to or call on . We also offer a referral fee for successful placements, so if someone you know is suitable, please also get in touch.
Nov 09, 2019
Full time
Role: Senior Data Scientist Location: London A Predictive Data Science Company are looking to add a Senior Data Scientist into their team. The role is suitable for someone with a strong academic background and 4+ years' industry experience. The successful candidate will be help all parts of the company utilise data to optimise improve product development, marketing techniques and business strategies. Required Senior Data Scientist skills & experience: MSc or PhD in Quantitative field (Maths, Statistics, Computer Science etc.) 4+ years' industry experience Experience of Machine Learning techniques Statistical Computer Language experience (Python, R, SQL) Strong understanding of Data manipulation & wrangling Salary: £65,000-£100,000 depending on experience Interviews are commencing from Monday 11th November and the client are looking to get the right person started as soon as possible. If this role is of interest or you require more information, please get in touch with an updated CV to or call on . We also offer a referral fee for successful placements, so if someone you know is suitable, please also get in touch.
As a Head of Engineering within our Data and Analytics function, you will perform a crucial role in technically shaping and delivering our data and analytical products and services. You will mentor other engineers in your team to instil agile principals, TDD approach and technical skill. This is a management and hands on role where you would be a project resource at least 30% of the time. At TUI, we never stop looking ahead, seeking new ways to delight our customers and grow our business. We recognise the power of digital and the massive contribution this brings to creating a truly unique and differentiated customer experience. TUI Group is the world's number one integrated tourism business. The Group umbrella consists of strong tour operators, 1,800 travel agencies and leading online portals, six airlines with more than 130 aircraft, over 300 hotels with 210,000 beds, twelve cruise liners and countless incoming agencies in all major holiday destinations around the globe. All this enables us to provide our 30 million customers with an unmatched holiday experience in 180 regions. What you will be doing Designing, prototyping, and implementing robust big-data applications using best-practice agile development processes You will be analytical in your thinking and work closely with our data scientists to bring to life advanced analytics to the consumer. Using creative thinking, contribute to the design of new data products. Building and leading a high-performance, tight-knit, agile, quality-focused team Fostering a team culture of innovation, pride in the craft, and mutual respect Providing technical and architectural oversight across multiple projects simultaneously Supporting the team by removing obstacles and helping the rest of the team deliver their stories What we are looking for A passionate senior engineer with a minimum of five years' commercial data engineering experience Experience working with both modern compiled and dynamic / scripting languages: e.g. node, Go, Java 8, Scala, python. Experience in real-time analytics and streaming platforms (Spark, Kafka, etc.) Comfortable working in a dynamic environment with a certain degree of uncertainty Comfortable working with SQL / NoSQL An advocate of agile practices for rapid development of quality software, such as CI, TDD, and automated deployment Comfortable learning new technologies, languages, and tools on the job, to ensure that the product is not left behind in a rapidly evolving ecosystem A positive, collaborative mindset and a desire to deliver real business value to the customer Experience modelling and evolving complex data structures Real passion for big data and streaming technologies An ability to challenge us! We want people who can come in and shape the future of this business, not afraid to raise questions and help us improve. Experience using Amazon Web Services
Nov 09, 2019
Full time
As a Head of Engineering within our Data and Analytics function, you will perform a crucial role in technically shaping and delivering our data and analytical products and services. You will mentor other engineers in your team to instil agile principals, TDD approach and technical skill. This is a management and hands on role where you would be a project resource at least 30% of the time. At TUI, we never stop looking ahead, seeking new ways to delight our customers and grow our business. We recognise the power of digital and the massive contribution this brings to creating a truly unique and differentiated customer experience. TUI Group is the world's number one integrated tourism business. The Group umbrella consists of strong tour operators, 1,800 travel agencies and leading online portals, six airlines with more than 130 aircraft, over 300 hotels with 210,000 beds, twelve cruise liners and countless incoming agencies in all major holiday destinations around the globe. All this enables us to provide our 30 million customers with an unmatched holiday experience in 180 regions. What you will be doing Designing, prototyping, and implementing robust big-data applications using best-practice agile development processes You will be analytical in your thinking and work closely with our data scientists to bring to life advanced analytics to the consumer. Using creative thinking, contribute to the design of new data products. Building and leading a high-performance, tight-knit, agile, quality-focused team Fostering a team culture of innovation, pride in the craft, and mutual respect Providing technical and architectural oversight across multiple projects simultaneously Supporting the team by removing obstacles and helping the rest of the team deliver their stories What we are looking for A passionate senior engineer with a minimum of five years' commercial data engineering experience Experience working with both modern compiled and dynamic / scripting languages: e.g. node, Go, Java 8, Scala, python. Experience in real-time analytics and streaming platforms (Spark, Kafka, etc.) Comfortable working in a dynamic environment with a certain degree of uncertainty Comfortable working with SQL / NoSQL An advocate of agile practices for rapid development of quality software, such as CI, TDD, and automated deployment Comfortable learning new technologies, languages, and tools on the job, to ensure that the product is not left behind in a rapidly evolving ecosystem A positive, collaborative mindset and a desire to deliver real business value to the customer Experience modelling and evolving complex data structures Real passion for big data and streaming technologies An ability to challenge us! We want people who can come in and shape the future of this business, not afraid to raise questions and help us improve. Experience using Amazon Web Services
Data Science - Python - Analytics - Statistics - NLP - Deep Learning - Cloud AWS - Azure London Salary - £65,000 - £100,000 DOE Senior Data Scientist currently required to work as part of a talented team of data specialists. This is a high profile position across working with our Product Team, and will have significant exposure across our wider group. You will be working with the latest tech available and will have a key role in designing the stack for future data scientists and specialists, and will be involved in some of the latest advancements in our sector. This Role is for a Senior Data Scientist to work alongside our Senior Management Team and ensure Data Science is fully utilised within the company. Additional responsibilities will include: - Using machine learning to identify patterns and trends - Line management over a growing team of data specialists - Using a variety of different tools and technologies (AWS, Jupyter, Python) to: acquire and scrub data, filter and mine data, represent and refine data, and sort and search data. To be successful in this position you will have: - A background in statistics or computer science - Experience of using Python and knowledge of Libraries such as Panda, Scikit-Learn etc. - Backgorund in working within a data analysis environment. - Extensive experience of working with textual data. - Experience of using machine learning models. - Fluency of Python and common machine learning packages. If you would like more information in regards to this opportunity then feel free to give me a call on or alternatively email If you are not interested but know somebody who would be then we can offer other incentives for anybody who can refer successful candidate
Nov 09, 2019
Full time
Data Science - Python - Analytics - Statistics - NLP - Deep Learning - Cloud AWS - Azure London Salary - £65,000 - £100,000 DOE Senior Data Scientist currently required to work as part of a talented team of data specialists. This is a high profile position across working with our Product Team, and will have significant exposure across our wider group. You will be working with the latest tech available and will have a key role in designing the stack for future data scientists and specialists, and will be involved in some of the latest advancements in our sector. This Role is for a Senior Data Scientist to work alongside our Senior Management Team and ensure Data Science is fully utilised within the company. Additional responsibilities will include: - Using machine learning to identify patterns and trends - Line management over a growing team of data specialists - Using a variety of different tools and technologies (AWS, Jupyter, Python) to: acquire and scrub data, filter and mine data, represent and refine data, and sort and search data. To be successful in this position you will have: - A background in statistics or computer science - Experience of using Python and knowledge of Libraries such as Panda, Scikit-Learn etc. - Backgorund in working within a data analysis environment. - Extensive experience of working with textual data. - Experience of using machine learning models. - Fluency of Python and common machine learning packages. If you would like more information in regards to this opportunity then feel free to give me a call on or alternatively email If you are not interested but know somebody who would be then we can offer other incentives for anybody who can refer successful candidate
Lead Data Scientist Big Data - Azure - GCP - Apache Spark - Tensorflow One of the UK's largest Software service providers are looking to bring on a Lead Data Scientist to deliver powerful machine learning solutions in big data environments for some of the biggest financial and retails businesses across Europe. This is a newly formed team, so we are looking for a Lead Data Scientist to act as the design authority for some highly complex, huge scale projects. In addition, this Lead Data Scientist position will involve owning the development of client proposals and pitches, and defining scopes of work for engagement. What will the successful Lead Data Scientist need: Vast experience as a Lead Data Scientist, with a PhD or MSc in a relevant field Fluency with R and Python in a Data Science context Proven experience with technologies, such as Apache Spark, DASK and Tensorflow Experience of working on Big Data platforms in Azure or GCP A Record of delivering evidence-based recommendations that have driven value in customer analytics. We are looking for someone to drive this new team forward, so this Lead Data Scientist will have a massive impact in how the company deliver Data Science solutions. Apply now to find out more. Talent Point design and manage technology resource needs on behalf of a range of businesses that partner solely with us. The above advert details a need for technology service provision and does not represent an opportunity for employment. Applications are invited from Consultancies providing relevant services. Any of the liabilities of an employer arising out of the Assignment shall be the liabilities of the Consultancy. No terminology is designed to discriminate on grounds of gender, race, colour, religion, creed, disability, age, sex or sexual orientation or any other class protected by applicable law. For information on how Talent Point manages and processes personal information please see our privacy notice at talentpoint.co/privacy-policy/
Nov 09, 2019
Contractor
Lead Data Scientist Big Data - Azure - GCP - Apache Spark - Tensorflow One of the UK's largest Software service providers are looking to bring on a Lead Data Scientist to deliver powerful machine learning solutions in big data environments for some of the biggest financial and retails businesses across Europe. This is a newly formed team, so we are looking for a Lead Data Scientist to act as the design authority for some highly complex, huge scale projects. In addition, this Lead Data Scientist position will involve owning the development of client proposals and pitches, and defining scopes of work for engagement. What will the successful Lead Data Scientist need: Vast experience as a Lead Data Scientist, with a PhD or MSc in a relevant field Fluency with R and Python in a Data Science context Proven experience with technologies, such as Apache Spark, DASK and Tensorflow Experience of working on Big Data platforms in Azure or GCP A Record of delivering evidence-based recommendations that have driven value in customer analytics. We are looking for someone to drive this new team forward, so this Lead Data Scientist will have a massive impact in how the company deliver Data Science solutions. Apply now to find out more. Talent Point design and manage technology resource needs on behalf of a range of businesses that partner solely with us. The above advert details a need for technology service provision and does not represent an opportunity for employment. Applications are invited from Consultancies providing relevant services. Any of the liabilities of an employer arising out of the Assignment shall be the liabilities of the Consultancy. No terminology is designed to discriminate on grounds of gender, race, colour, religion, creed, disability, age, sex or sexual orientation or any other class protected by applicable law. For information on how Talent Point manages and processes personal information please see our privacy notice at talentpoint.co/privacy-policy/
Python Developer London Up to £65,000 This is your chance to work for a rapidly growing analytics company in London. This company is looking for able, talented and ambitious Python Developers to help their talented team of data scientists and developers build out this fast-paced platform...... click apply for full job details
Nov 09, 2019
Full time
Python Developer London Up to £65,000 This is your chance to work for a rapidly growing analytics company in London. This company is looking for able, talented and ambitious Python Developers to help their talented team of data scientists and developers build out this fast-paced platform...... click apply for full job details
Data Engineer Graduate Programme London Becoming a Data Engineer with Capita Consultancy: This 18-month structured graduate programme will see you work with inspirational industry leaders to build technical skill, business knowledge and core soft skills in order to become one of our future leaders. You'll be trusted with high level responsibility and client interaction as you work on innovative, exciting and challenging projects. We'll support you every step of the way with continuous feedback, leading training and regular coaching and mentoring as part of your personal development and feedback. Talented, innovative and creative, you'll join a multi-disciplined team of data scientists, engineers, AI experts and consultants to deliver a variety of projects that will be developed in our multi cloud environment. You'll work with a variety of Big Data and visualisation technologies to create exceptional propositions and customer experiences to solve difficult business problems based on a robust, low latent platform of structured and semi-structured and unstructured data. As part of a cohort of graduates, you'll have regular social events to attend. Please note: this graduate programme may involve travel away from your main office, so you'll need to be happy occasionally staying over when required. What you'll be doing: Working with other members of the team on projects from start to finish, you will: Support clients with their activities on our data platform. Assist in creating, managing and supporting data pipelines in a cloud environment. Start to take on work on projects as you develop your skills. Positively influence client decisions and enhance performance through your expertise. Set your own learning objectives (with support from your managers), reflect on your development and suggest how you could learn more. Learn through training resources. What we're looking for: A BSc degree in a computer discipline or equivalent certification. Related experience through paid work, work experience, education or training. Programming experience in at least two of the following languages: Python, NoSQL, SQL. Familiarity with database design, documentation and coding. Problem solving skills and the ability to think algorithmically. Enthusiasm and some knowledge of data engineering techniques and practices. About Capita Consultancy Capita Consultancy is at the forefront of innovation in digital, data analytics and AI, improving the lives of UK citizens and enhancing the performance of our enterprise clients across public and private sectors. Joining the Capita Consultancy Graduate Programme will be an opportunity to unleash your brilliance and a make a real difference to the lives of people around you. We are disrupting the consulting industry. We continue to grow and we need fantastic people and top talent to join our exciting journey and have some fun! Capita Consultancy are part of Capita Plc, a leading UK provider of technology enabled business services. We're supporting and improving the lives of millions of people every day and we can only do this with the right people in place, working towards a shared goal. We encourage an open, honest working environment where everyone can be true to themselves and people are valued for their differences. We're always challenging each other to learn and improve, because we know when we work together, we can deliver better outcomes. We work across such a huge range of businesses and sectors, that you'll have the opportunity to grow and develop your career in any number of directions. What's in it for you? A competitive salary + benefits 25 days holiday (rising to 27) with the opportunity to buy extra leave. Company matched pension, life assurance, a cycle2work scheme, 15 weeks' fully paid maternity, adoption and shared parental leave...and plenty more. Voluntary benefits designed to suit your lifestyle - from discounts on retail and socialising, to health & wellbeing, travel and technology. You'll get the chance to follow your chosen career path anywhere in Capita, in particular in our Consulting division in our innovative and technology hubs. You'll be joining a network of experienced, innovative and dedicated individuals across multiple disciplines and sectors. There are countless opportunities to learn new skills and develop in your career, and we'll provide the support you need to do just that. Our purpose is to create a better outcome for you. What we hope you'll do next: Choose 'Apply now' to submit your CV and a short supporting statement, so that we can find out more about you. Please include your extracurricular activities and additional responsibilities and you will need to attach a short submission responding to the following question in no more than 500 words: 'why do you want to work for Capita Consulting and what interests you about the profession?' There is also the opportunity for you to attach your portfolio of work, should you wish to showcase this as part of your application. If you're successful there will be a telephone or video interview, followed by an assessment centre comprised of a face-to-face interview, group exercise, written exercise and presentation. We expect to close applications by 18th October and for the first round of interviews to be completed by 15th November. Assessment centres will have taken place by the week commencing 2nd December. Offers will be made by the 9th December. The start date will be mid-January 2020. If you have any questions you'd like to ask before applying, please contact Danny Cash at Capita Internal Resourcing by emailing . We're an equal opportunity employer, which means we will consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and their passion for creating better outcomes.
Nov 09, 2019
Full time
Data Engineer Graduate Programme London Becoming a Data Engineer with Capita Consultancy: This 18-month structured graduate programme will see you work with inspirational industry leaders to build technical skill, business knowledge and core soft skills in order to become one of our future leaders. You'll be trusted with high level responsibility and client interaction as you work on innovative, exciting and challenging projects. We'll support you every step of the way with continuous feedback, leading training and regular coaching and mentoring as part of your personal development and feedback. Talented, innovative and creative, you'll join a multi-disciplined team of data scientists, engineers, AI experts and consultants to deliver a variety of projects that will be developed in our multi cloud environment. You'll work with a variety of Big Data and visualisation technologies to create exceptional propositions and customer experiences to solve difficult business problems based on a robust, low latent platform of structured and semi-structured and unstructured data. As part of a cohort of graduates, you'll have regular social events to attend. Please note: this graduate programme may involve travel away from your main office, so you'll need to be happy occasionally staying over when required. What you'll be doing: Working with other members of the team on projects from start to finish, you will: Support clients with their activities on our data platform. Assist in creating, managing and supporting data pipelines in a cloud environment. Start to take on work on projects as you develop your skills. Positively influence client decisions and enhance performance through your expertise. Set your own learning objectives (with support from your managers), reflect on your development and suggest how you could learn more. Learn through training resources. What we're looking for: A BSc degree in a computer discipline or equivalent certification. Related experience through paid work, work experience, education or training. Programming experience in at least two of the following languages: Python, NoSQL, SQL. Familiarity with database design, documentation and coding. Problem solving skills and the ability to think algorithmically. Enthusiasm and some knowledge of data engineering techniques and practices. About Capita Consultancy Capita Consultancy is at the forefront of innovation in digital, data analytics and AI, improving the lives of UK citizens and enhancing the performance of our enterprise clients across public and private sectors. Joining the Capita Consultancy Graduate Programme will be an opportunity to unleash your brilliance and a make a real difference to the lives of people around you. We are disrupting the consulting industry. We continue to grow and we need fantastic people and top talent to join our exciting journey and have some fun! Capita Consultancy are part of Capita Plc, a leading UK provider of technology enabled business services. We're supporting and improving the lives of millions of people every day and we can only do this with the right people in place, working towards a shared goal. We encourage an open, honest working environment where everyone can be true to themselves and people are valued for their differences. We're always challenging each other to learn and improve, because we know when we work together, we can deliver better outcomes. We work across such a huge range of businesses and sectors, that you'll have the opportunity to grow and develop your career in any number of directions. What's in it for you? A competitive salary + benefits 25 days holiday (rising to 27) with the opportunity to buy extra leave. Company matched pension, life assurance, a cycle2work scheme, 15 weeks' fully paid maternity, adoption and shared parental leave...and plenty more. Voluntary benefits designed to suit your lifestyle - from discounts on retail and socialising, to health & wellbeing, travel and technology. You'll get the chance to follow your chosen career path anywhere in Capita, in particular in our Consulting division in our innovative and technology hubs. You'll be joining a network of experienced, innovative and dedicated individuals across multiple disciplines and sectors. There are countless opportunities to learn new skills and develop in your career, and we'll provide the support you need to do just that. Our purpose is to create a better outcome for you. What we hope you'll do next: Choose 'Apply now' to submit your CV and a short supporting statement, so that we can find out more about you. Please include your extracurricular activities and additional responsibilities and you will need to attach a short submission responding to the following question in no more than 500 words: 'why do you want to work for Capita Consulting and what interests you about the profession?' There is also the opportunity for you to attach your portfolio of work, should you wish to showcase this as part of your application. If you're successful there will be a telephone or video interview, followed by an assessment centre comprised of a face-to-face interview, group exercise, written exercise and presentation. We expect to close applications by 18th October and for the first round of interviews to be completed by 15th November. Assessment centres will have taken place by the week commencing 2nd December. Offers will be made by the 9th December. The start date will be mid-January 2020. If you have any questions you'd like to ask before applying, please contact Danny Cash at Capita Internal Resourcing by emailing . We're an equal opportunity employer, which means we will consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and their passion for creating better outcomes.
Data and Analytics Lead - Central London - £65,000 - £75,000 One of London's leading insuretech startups are looking to add an experienced Data and Analytics Lead to their team. In this position you will be granted the opportunity to lead a small but talented team of Data Engineers and Data Scientists, with the overall goal of changing how the insurance industry sees data. You will remain in a very much hands-on position while leading and mentoring your team, making sure that you deliver groundbreaking analytics. This role is set for somebody who wants to come in and have a real impact on an organisation - working in a high energy, fast learning environment. Experience which will help you succeed in this position: Experience leading Data teams in the past Working on Data lake and warehouses running on AWS Desire to be in a high level position, having input on strategy / architecture Knowledge building Data Assets by applying Machine Learning techniques Skills needed for the position: Data Engineering and a strong understanding of Data Science ML and AI frameworks Experience with cloud technology (AWS) ETL (public datasets, APIs, scraping) If this role appeals to you, then please apply today or email me, Iain, on to find out more..
Nov 09, 2019
Full time
Data and Analytics Lead - Central London - £65,000 - £75,000 One of London's leading insuretech startups are looking to add an experienced Data and Analytics Lead to their team. In this position you will be granted the opportunity to lead a small but talented team of Data Engineers and Data Scientists, with the overall goal of changing how the insurance industry sees data. You will remain in a very much hands-on position while leading and mentoring your team, making sure that you deliver groundbreaking analytics. This role is set for somebody who wants to come in and have a real impact on an organisation - working in a high energy, fast learning environment. Experience which will help you succeed in this position: Experience leading Data teams in the past Working on Data lake and warehouses running on AWS Desire to be in a high level position, having input on strategy / architecture Knowledge building Data Assets by applying Machine Learning techniques Skills needed for the position: Data Engineering and a strong understanding of Data Science ML and AI frameworks Experience with cloud technology (AWS) ETL (public datasets, APIs, scraping) If this role appeals to you, then please apply today or email me, Iain, on to find out more..
About us: Streetbees has a very strong engineering team and platform, combining the best in machine learning, data management pipelines, web platforms and mobile apps. We work with Python for our data science and machine learning, Ruby and Elixir with ReactJS for our web apps and APIs and middleware, and Swift and Kotlin (our Android codebase is 100% Kotlin). Everything is entirely hosted in AWS, all repos in Github, everything containerised. An opportunity exists for a Senior Python Developer to join our team, particularly those who have enthusiasm to work at the intersection of scalable distributed web platforms with data engineering and machine learning technologies. This is the core of Streetbees technology activities as a leading 'applied AI' company - it is one of the most exciting frontiers of modern technology, where new types of software are emerging, and new capabilities that were simply not possible a few years ago are now being created. We are looking for enthusiast to contribute to building something truly great in this space. The Senior Python Developer will have strong technical and software engineering knowledge relative to their years of experience, so that they are able to make a major contribution to creating production-quality AI solutions. We are looking for engineers at both mid and senior experience levels as we are more driven by a colleagues contribution and skills than length of service, and as a fast growing start-up we have flexibility in exact skills requirements in order to build the best team. Successful candidates will probably have either significant data engineering (e.g. PySpark, Airflow, Pandas etc), or web app engineering (e.g. Django, Flask etc) backgrounds, or another background where Python is a leading tool for engineering purposes. This is a fully hands on position. Any experience with machine learning engineering using Tensorflow, Keras and PyTorch would be a large advantage, but is not required if someone has strong Python software engineering knowledge in another of the common Python use cases (e.g. web development and data engineering). This is not a role for a pure data engineer or data scientist though, it is a software engineering role and would particularly suit engineers who have significant experience outside of machine learning and a self-motivated interest in developing expertise in machine learning engineering, as a means to produce the new generations of software capability now possible by combining machine learning aspects with established engineering approaches. Role Responsibilities: Hands-on design, development and support of world class production Python solutions, both web application and machine learning. Contribution to standards about production-quality engineering and QA for Python solutions. Active pull request participation, branch management, other code reviews of other Python developers work etc. Working with our DevOps team for production Machine Learning AI solutions (DevOps for machine learning is a new area for the industry, with little current conventional best practice, Streetbees expertise in ML creates a real opportunity to do leading-edge DevOps work productionising that). Working with the other engineers to define how Python software engineering should be done Development and support of data engineering platform, Python web applications and APIs, and machine learning platforms, all on AWS including using specialist ML accelerators Being an active part of the group of engineers reviewing and making key tech design decisions, and coordinating work and operations Keeping up to date with the latest evolution in Python software engineering best practice and technologies Skills and Experience: Excellent Python knowledge and skills relative to level of experience, including both Python language technicalities, and the technical underpinnings of the Python platform, in particular including maintainability, performance and reliability Years of commercial experience building and supporting large scale web, app and API platforms with Python relative to experience Experienced with the AWS application suite (bonus points if you have experience with DevOps technologies around it such as Docker, Kubernetes and Terraform) Experienced with relational, but also NOSQL, databases (bonus points for Postgres specifically). The more knowledge of data processing, vectorisation and machine learning frameworks the better. Experience with requirements specification, Python testing tools, with software design patterns, with Agile development processes
Nov 09, 2019
Full time
About us: Streetbees has a very strong engineering team and platform, combining the best in machine learning, data management pipelines, web platforms and mobile apps. We work with Python for our data science and machine learning, Ruby and Elixir with ReactJS for our web apps and APIs and middleware, and Swift and Kotlin (our Android codebase is 100% Kotlin). Everything is entirely hosted in AWS, all repos in Github, everything containerised. An opportunity exists for a Senior Python Developer to join our team, particularly those who have enthusiasm to work at the intersection of scalable distributed web platforms with data engineering and machine learning technologies. This is the core of Streetbees technology activities as a leading 'applied AI' company - it is one of the most exciting frontiers of modern technology, where new types of software are emerging, and new capabilities that were simply not possible a few years ago are now being created. We are looking for enthusiast to contribute to building something truly great in this space. The Senior Python Developer will have strong technical and software engineering knowledge relative to their years of experience, so that they are able to make a major contribution to creating production-quality AI solutions. We are looking for engineers at both mid and senior experience levels as we are more driven by a colleagues contribution and skills than length of service, and as a fast growing start-up we have flexibility in exact skills requirements in order to build the best team. Successful candidates will probably have either significant data engineering (e.g. PySpark, Airflow, Pandas etc), or web app engineering (e.g. Django, Flask etc) backgrounds, or another background where Python is a leading tool for engineering purposes. This is a fully hands on position. Any experience with machine learning engineering using Tensorflow, Keras and PyTorch would be a large advantage, but is not required if someone has strong Python software engineering knowledge in another of the common Python use cases (e.g. web development and data engineering). This is not a role for a pure data engineer or data scientist though, it is a software engineering role and would particularly suit engineers who have significant experience outside of machine learning and a self-motivated interest in developing expertise in machine learning engineering, as a means to produce the new generations of software capability now possible by combining machine learning aspects with established engineering approaches. Role Responsibilities: Hands-on design, development and support of world class production Python solutions, both web application and machine learning. Contribution to standards about production-quality engineering and QA for Python solutions. Active pull request participation, branch management, other code reviews of other Python developers work etc. Working with our DevOps team for production Machine Learning AI solutions (DevOps for machine learning is a new area for the industry, with little current conventional best practice, Streetbees expertise in ML creates a real opportunity to do leading-edge DevOps work productionising that). Working with the other engineers to define how Python software engineering should be done Development and support of data engineering platform, Python web applications and APIs, and machine learning platforms, all on AWS including using specialist ML accelerators Being an active part of the group of engineers reviewing and making key tech design decisions, and coordinating work and operations Keeping up to date with the latest evolution in Python software engineering best practice and technologies Skills and Experience: Excellent Python knowledge and skills relative to level of experience, including both Python language technicalities, and the technical underpinnings of the Python platform, in particular including maintainability, performance and reliability Years of commercial experience building and supporting large scale web, app and API platforms with Python relative to experience Experienced with the AWS application suite (bonus points if you have experience with DevOps technologies around it such as Docker, Kubernetes and Terraform) Experienced with relational, but also NOSQL, databases (bonus points for Postgres specifically). The more knowledge of data processing, vectorisation and machine learning frameworks the better. Experience with requirements specification, Python testing tools, with software design patterns, with Agile development processes
Popsa is a design-led, engineering focussed company that uses machine learning, including artificial intelligence, to help people rediscover their best experiences and turn them into beautiful printed products. We grew about 500% in 2018 and we're now shipping over half a million photos a week to 50 countries around the world. We care deeply about providing a great experience for our users. Our Android and iOS apps are translated into 12 languages and we offer 10 different localised payment methods. In 2019 we significantly expanded our in-house data science team and we're looking for an experienced software engineer with a strong background in Python to help us scale our experimentation and work with the wider engineering team to turn our research into production features for our customers. Our Data Science Technology Stack Our data science team predominantly works in Python and makes extensive use of pandas, numpy and scikit-learn. ML models are created using Tensorflow/Keras and run at the edge using CoreML, Tensorflow Lite and we're researching TensorFlow.js We use AWS EC2 spot fleets for training, store all our data science assets on S3 and record our results in a PostgreSQL database We've built custom tooling to help us with tasks such as labelling data, and we automate processes where we can We've written a few blog posts that you might find interesting: Data Science at Popsa Our Technology Stack in 2019 The Popsa Platform Why security and privacy at Popsa is a first-class citizen, not an obligation You and the Role We are looking for a software engineer to work with the Popsa data science team, to help build production-ready solutions for our AI proofs of concept. You must have extensive experience with Python and pride yourself in writing stable, secure and maintainable code. It is important that you are passionate about automating not only your own workflows but those across the business. Ideally, you'll have experience with pandas, numpy and scikit-learn. Aside from working with the Data Science team, you will work across the engineering teams at Popsa, guiding the mobile teams on integration with APIs and working with the platform to extract production data and build and manage pipelines. Having experience with technologies such as Docker, and AWS services such as DynamoDB, S3 and a big data store such as Redshift or Athena will be beneficial but you'll have the opportunity to learn on the job and the whole engineering team is there to support you. This role needs a creative, problem-solving attitude, paired with a sensible approach to risk. You will be working at our HQ in the heart of London's Soho in the Carnaby Quarter. You Should Apply If What we're doing here at Popsa excites you! You have at least two years of experience using Python for data analysis, ETL pipelines or deploying ML models as APIs You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so You have a strong background of data and analytics engineering or demonstrable experience or passion for this field You're keen to learn more about and develop your knowledge of new technologies We're an equal opportunity employer and prize diversity as a strength. Everyone is welcome at Popsa. Rewards Salary is negotiable and dependent on your level of skill and experience; feel free to be honest, and state your desired remuneration level. Most importantly, you will also get to own part of the business through an EMI share options scheme that is open to all employees. We'll tell you all about it as part of the interview process. Got a Question? If you have any questions about this role or anything about Popsa please feel free to email us at and either Chanuki, Lead Data Scientist, or Alex, Head of Engineering will get in touch. We look forward to hearing from you!
Nov 09, 2019
Full time
Popsa is a design-led, engineering focussed company that uses machine learning, including artificial intelligence, to help people rediscover their best experiences and turn them into beautiful printed products. We grew about 500% in 2018 and we're now shipping over half a million photos a week to 50 countries around the world. We care deeply about providing a great experience for our users. Our Android and iOS apps are translated into 12 languages and we offer 10 different localised payment methods. In 2019 we significantly expanded our in-house data science team and we're looking for an experienced software engineer with a strong background in Python to help us scale our experimentation and work with the wider engineering team to turn our research into production features for our customers. Our Data Science Technology Stack Our data science team predominantly works in Python and makes extensive use of pandas, numpy and scikit-learn. ML models are created using Tensorflow/Keras and run at the edge using CoreML, Tensorflow Lite and we're researching TensorFlow.js We use AWS EC2 spot fleets for training, store all our data science assets on S3 and record our results in a PostgreSQL database We've built custom tooling to help us with tasks such as labelling data, and we automate processes where we can We've written a few blog posts that you might find interesting: Data Science at Popsa Our Technology Stack in 2019 The Popsa Platform Why security and privacy at Popsa is a first-class citizen, not an obligation You and the Role We are looking for a software engineer to work with the Popsa data science team, to help build production-ready solutions for our AI proofs of concept. You must have extensive experience with Python and pride yourself in writing stable, secure and maintainable code. It is important that you are passionate about automating not only your own workflows but those across the business. Ideally, you'll have experience with pandas, numpy and scikit-learn. Aside from working with the Data Science team, you will work across the engineering teams at Popsa, guiding the mobile teams on integration with APIs and working with the platform to extract production data and build and manage pipelines. Having experience with technologies such as Docker, and AWS services such as DynamoDB, S3 and a big data store such as Redshift or Athena will be beneficial but you'll have the opportunity to learn on the job and the whole engineering team is there to support you. This role needs a creative, problem-solving attitude, paired with a sensible approach to risk. You will be working at our HQ in the heart of London's Soho in the Carnaby Quarter. You Should Apply If What we're doing here at Popsa excites you! You have at least two years of experience using Python for data analysis, ETL pipelines or deploying ML models as APIs You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so You have a strong background of data and analytics engineering or demonstrable experience or passion for this field You're keen to learn more about and develop your knowledge of new technologies We're an equal opportunity employer and prize diversity as a strength. Everyone is welcome at Popsa. Rewards Salary is negotiable and dependent on your level of skill and experience; feel free to be honest, and state your desired remuneration level. Most importantly, you will also get to own part of the business through an EMI share options scheme that is open to all employees. We'll tell you all about it as part of the interview process. Got a Question? If you have any questions about this role or anything about Popsa please feel free to email us at and either Chanuki, Lead Data Scientist, or Alex, Head of Engineering will get in touch. We look forward to hearing from you!
Data scientist Cambridge, United Kingdom £60,000-£70,000+ benefits Are you an enthusiastic computer vision expert, who is willing to work on machine learning projects and looking for something more? Join this adventurous company that is exploring complex data to impact and provide solutions to new computer vision and advanced technologies. THE COMPANY Join a company full of world class developers that focus on the expansion of artificial intelligence and computer vision to produce breakthroughs through data transformation. Work with other data scientists in a collaborative environment, who are all keen to develop new ideas that impact the real world. THE ROLE This role will be an exciting opportunity to develop new solutions and work with computer vision and artificial intelligence. This role will allow you to solve complex roles on a daily basis and work with a variety of data, more details of the role are as follows: Using computer vision and machine learning to develop solutions -Working on an existing platform to develop the technology Problem solving on a daily basis Provide expertise when it comes to computer vision Work on data and projects to excite and please the audience Challenge and build on existing solutions YOUR SKILLS AND EXPERIENCE Enthusiastic problem solver Ability to lead and explore ideas with team Educated in a numeric discipline PhD also required Ability to work as a team and also independently Machine learning and Computer vision experience Customer segmentation and deep learning experience Commercial experience and also experience using TensorFlow and PyTorch T HE BENEFITS Earning potential up to £75,000 + Benefits HOW TO APPLY Please register your interest by sending your CV to Charlotte York via the apply link on this page
Nov 09, 2019
Full time
Data scientist Cambridge, United Kingdom £60,000-£70,000+ benefits Are you an enthusiastic computer vision expert, who is willing to work on machine learning projects and looking for something more? Join this adventurous company that is exploring complex data to impact and provide solutions to new computer vision and advanced technologies. THE COMPANY Join a company full of world class developers that focus on the expansion of artificial intelligence and computer vision to produce breakthroughs through data transformation. Work with other data scientists in a collaborative environment, who are all keen to develop new ideas that impact the real world. THE ROLE This role will be an exciting opportunity to develop new solutions and work with computer vision and artificial intelligence. This role will allow you to solve complex roles on a daily basis and work with a variety of data, more details of the role are as follows: Using computer vision and machine learning to develop solutions -Working on an existing platform to develop the technology Problem solving on a daily basis Provide expertise when it comes to computer vision Work on data and projects to excite and please the audience Challenge and build on existing solutions YOUR SKILLS AND EXPERIENCE Enthusiastic problem solver Ability to lead and explore ideas with team Educated in a numeric discipline PhD also required Ability to work as a team and also independently Machine learning and Computer vision experience Customer segmentation and deep learning experience Commercial experience and also experience using TensorFlow and PyTorch T HE BENEFITS Earning potential up to £75,000 + Benefits HOW TO APPLY Please register your interest by sending your CV to Charlotte York via the apply link on this page
Search Consultancy is currently recruiting a Product Owner for a leading Telematics business in the City. Our client's team is growing and a Product Owner is required to help deliver the product roadmap for the next generation of connected fleet solutions. As the Product Owner, you will oversee the execution of a product vision into a high-quality finished product. By gaining a deep understanding of the user and product business case, you will champion the user's needs within a development team. You will use your experience to communicate and motivate the development team to deliver agile stories and user value and will be accountable for delivered functionality and quality while managing planning, releases, and go-live requirements. In this role, you will report to the Product Manager and work closely with other product owners, engineers, UX/UI designers, data scientists, and cross-functional operators to deliver complex products. The Product Owner will be responsible for the following areas. Work with product managers to define roadmap, prioritise feedback, and plan release Gain a deep understanding of the user needs and experience and communicate those needs clearly to your scrum team Write and prioritise user stories to deliver product functionality Lead development execution of user stories and ensure engineers understanding and alignment Organise and drive cross-functional teams, to deliver to deadlines without line management authority Identify, assess, and mitigate risks for project and delivery Execute vision of complex products including mobile apps, server, and iOT in an agile environment The Product Owner will have skills and experience in the following areas Strong candidates should have; University degree, and a track record of continuous professional growth 3+ years direct involvement with information technology / SaaS applications Experience with Agile software development (particularly SCRUM and JIRA) In-depth skills in requirements identification and clarification. Sound judgment and decision-making skills, ability to juggle multiple competing priorities, delegate within team, and ability to work under deadline pressures Preferred: An understanding of telematics and IoT Exceptional ability to collaborate, openly communicate, present and negotiate effectively across disciplines, vendors, partners and customers Demonstrated experience delivering results in a changing environment, the ability to work independently and be a self-starter If this sounds like a role that could take you to the next step in your career, please send your CV through to Benjamin or call on . Search is an equal opportunities recruiter and we welcome applications from all suitably skilled or qualified applicants, regardless of their race, sex, disability, religion/beliefs, sexual orientation or age.
Nov 09, 2019
Full time
Search Consultancy is currently recruiting a Product Owner for a leading Telematics business in the City. Our client's team is growing and a Product Owner is required to help deliver the product roadmap for the next generation of connected fleet solutions. As the Product Owner, you will oversee the execution of a product vision into a high-quality finished product. By gaining a deep understanding of the user and product business case, you will champion the user's needs within a development team. You will use your experience to communicate and motivate the development team to deliver agile stories and user value and will be accountable for delivered functionality and quality while managing planning, releases, and go-live requirements. In this role, you will report to the Product Manager and work closely with other product owners, engineers, UX/UI designers, data scientists, and cross-functional operators to deliver complex products. The Product Owner will be responsible for the following areas. Work with product managers to define roadmap, prioritise feedback, and plan release Gain a deep understanding of the user needs and experience and communicate those needs clearly to your scrum team Write and prioritise user stories to deliver product functionality Lead development execution of user stories and ensure engineers understanding and alignment Organise and drive cross-functional teams, to deliver to deadlines without line management authority Identify, assess, and mitigate risks for project and delivery Execute vision of complex products including mobile apps, server, and iOT in an agile environment The Product Owner will have skills and experience in the following areas Strong candidates should have; University degree, and a track record of continuous professional growth 3+ years direct involvement with information technology / SaaS applications Experience with Agile software development (particularly SCRUM and JIRA) In-depth skills in requirements identification and clarification. Sound judgment and decision-making skills, ability to juggle multiple competing priorities, delegate within team, and ability to work under deadline pressures Preferred: An understanding of telematics and IoT Exceptional ability to collaborate, openly communicate, present and negotiate effectively across disciplines, vendors, partners and customers Demonstrated experience delivering results in a changing environment, the ability to work independently and be a self-starter If this sounds like a role that could take you to the next step in your career, please send your CV through to Benjamin or call on . Search is an equal opportunities recruiter and we welcome applications from all suitably skilled or qualified applicants, regardless of their race, sex, disability, religion/beliefs, sexual orientation or age.
NRG are delighted to be working with a not for profit organization in the offshore renewable energy sector looking to recruit a Data Scientist to join their team. The successful individual will be able to improve information management processes and practices, analyse a large amount of data to reveal insights and trends in the industry. Requirements: A degree in Computer Science/Data Science or equivalent Experience in the delivery of Python scripting for the purpose of data analysis Experience designing, management and application of SQL databases Experience with Power BI and/or data insight Customer facing ability Comfortable using initiative and working in an innovation environment Reasonable awareness of business analysis, big data concepts, machine learning and statistical analysis software
Nov 09, 2019
Full time
NRG are delighted to be working with a not for profit organization in the offshore renewable energy sector looking to recruit a Data Scientist to join their team. The successful individual will be able to improve information management processes and practices, analyse a large amount of data to reveal insights and trends in the industry. Requirements: A degree in Computer Science/Data Science or equivalent Experience in the delivery of Python scripting for the purpose of data analysis Experience designing, management and application of SQL databases Experience with Power BI and/or data insight Customer facing ability Comfortable using initiative and working in an innovation environment Reasonable awareness of business analysis, big data concepts, machine learning and statistical analysis software
TECHNICAL TRAINER - JAVASCRIPT ES6 / REACT / JSON Fresh and exciting role working with a globally recognised and market leading cyber security company. Relevant degree or 3 years experience in a technical data integration or software engineering profession Easily accessible London location JAVASCRIPT ES6 / REACT / JSON experience Competitive salary To apply call or email Sourced by: - your 24/7 twitter feed of latest IT vacancies across London. WHO WE ARE? We are a company filled with data scientists, technologists and analysts that design products to detect criminal activity and prevent it! Our founders are technology experts so understand how lead! We believe we can protect global companies and governments from terrorism and cyber crime for years to come! WHAT WILL YOU BE DOING? You will be leading development, deployment and delivering dev to dev training. You will create training materials to be used during training and designing hands-on exercises to reinforce the learning. You will enable partner developers to conduct their own training to peers whilst being part of the team responsible for the activities. The overall aim will be for yourself to be part of the team to support the rest of the team in growing and developing our academy! WE NEED YOU TO HAVE… An absolute passion for training and technology and an ability to learn and adapt quickly to new applications and tech. Accomplished technical writing skills, with the ability to write clear and accurate training outlines and user documentation to support knowledge transfer. Excellent facilitation skills for classroom training and webinars. Ability to work independently and as a member of a team. Comfortable travelling between UK and overseas customer sites to deliver training. Professional experience using JavaScript (ES6 or higher). A relevant degree in STEM or at least 3 years' experience in a technical data integrations or software engineering setting. Experience with processing JSON data, preferably schema-driven IT'S NICE TO HAVE… React, Material UI or other JavaScript frameworks for customising UIs, in order to build front end applications. Elasticsearch (v5 or higher) for storing, retrieving and querying against structured and unstructured text. MongoDB or other NoSQL-like databases. Python or other data science or statistically preferred languages. Kafka and other distributed messaging systems. lodash or other JavaScript libraries for utility functions. Npm. An appropriate trainer qualification e.g. CIPD, TAP. TO BE CONSIDERED Please either apply by clicking online or emailing me directly to . For further information please call me on . I can make myself available outside of the normal business working hours to suit you. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow me on or connect with me on LinkedIn, just search Daniel Jones, Searchability in Google! I look forward to hearing from you. TECHNICAL TRAINER - JAVASCRIPT ES6 / REACT / JSON
Nov 09, 2019
Full time
TECHNICAL TRAINER - JAVASCRIPT ES6 / REACT / JSON Fresh and exciting role working with a globally recognised and market leading cyber security company. Relevant degree or 3 years experience in a technical data integration or software engineering profession Easily accessible London location JAVASCRIPT ES6 / REACT / JSON experience Competitive salary To apply call or email Sourced by: - your 24/7 twitter feed of latest IT vacancies across London. WHO WE ARE? We are a company filled with data scientists, technologists and analysts that design products to detect criminal activity and prevent it! Our founders are technology experts so understand how lead! We believe we can protect global companies and governments from terrorism and cyber crime for years to come! WHAT WILL YOU BE DOING? You will be leading development, deployment and delivering dev to dev training. You will create training materials to be used during training and designing hands-on exercises to reinforce the learning. You will enable partner developers to conduct their own training to peers whilst being part of the team responsible for the activities. The overall aim will be for yourself to be part of the team to support the rest of the team in growing and developing our academy! WE NEED YOU TO HAVE… An absolute passion for training and technology and an ability to learn and adapt quickly to new applications and tech. Accomplished technical writing skills, with the ability to write clear and accurate training outlines and user documentation to support knowledge transfer. Excellent facilitation skills for classroom training and webinars. Ability to work independently and as a member of a team. Comfortable travelling between UK and overseas customer sites to deliver training. Professional experience using JavaScript (ES6 or higher). A relevant degree in STEM or at least 3 years' experience in a technical data integrations or software engineering setting. Experience with processing JSON data, preferably schema-driven IT'S NICE TO HAVE… React, Material UI or other JavaScript frameworks for customising UIs, in order to build front end applications. Elasticsearch (v5 or higher) for storing, retrieving and querying against structured and unstructured text. MongoDB or other NoSQL-like databases. Python or other data science or statistically preferred languages. Kafka and other distributed messaging systems. lodash or other JavaScript libraries for utility functions. Npm. An appropriate trainer qualification e.g. CIPD, TAP. TO BE CONSIDERED Please either apply by clicking online or emailing me directly to . For further information please call me on . I can make myself available outside of the normal business working hours to suit you. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow me on or connect with me on LinkedIn, just search Daniel Jones, Searchability in Google! I look forward to hearing from you. TECHNICAL TRAINER - JAVASCRIPT ES6 / REACT / JSON
