Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
Dec 23, 2021
Full time
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
SThree is delighted to announce that we are currently accepting applications for an experienced AI Engineer. This position presents an excellent opportunity to join a global audience of stakeholders. Additionally, it offers the potential for growth within an international company. As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be key. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. What are the day-to-day tasks? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data Lake Develop robust testing and validation processes to ensure the accuracy and reliability of AI models. Ensure that operational issues are identified, recorded, monitored and resolved. Conducts investigations of significant operational outage and provides recommendations for problem mitigation. Provides appropriate status and other reports to specialists, users and managers. Align all operations procedures to service expectations, security requirements and other quality standards. Ensures that operational procedures are fit for purpose and updated. Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks What skills and knowledge are we looking for? Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirable Solid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications. Qualifications: Degree in computer science/software engineering and/or 5+ years equivalent work experience within a cloud environment. Cloud Certifications desirable Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate Benefits for our U.K. teams include: Choice to work flexibly from home and the office, in line with our hybrid working principles Bonus linked to company and personal performance Generous 28 days holiday, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private healthcare, discounted dental insurance and health care cashback scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
Apr 17, 2024
Full time
SThree is delighted to announce that we are currently accepting applications for an experienced AI Engineer. This position presents an excellent opportunity to join a global audience of stakeholders. Additionally, it offers the potential for growth within an international company. As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be key. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. What are the day-to-day tasks? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data Lake Develop robust testing and validation processes to ensure the accuracy and reliability of AI models. Ensure that operational issues are identified, recorded, monitored and resolved. Conducts investigations of significant operational outage and provides recommendations for problem mitigation. Provides appropriate status and other reports to specialists, users and managers. Align all operations procedures to service expectations, security requirements and other quality standards. Ensures that operational procedures are fit for purpose and updated. Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks What skills and knowledge are we looking for? Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirable Solid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications. Qualifications: Degree in computer science/software engineering and/or 5+ years equivalent work experience within a cloud environment. Cloud Certifications desirable Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate Benefits for our U.K. teams include: Choice to work flexibly from home and the office, in line with our hybrid working principles Bonus linked to company and personal performance Generous 28 days holiday, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private healthcare, discounted dental insurance and health care cashback scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
Private Credit business is going through significant growth. This an opportunity to work with a global technology team in building and providing long term strategic solutions by integrating in-house and vendor applications involving new development and greenfield projects to develop strong foundations for the future business and technology growth. At Macquarie, we are working to create lasting value for our communities, our clients and our people. We are a global financial services group operating in 34 markets and with 54 years of unbroken profitability. You'll be part of a supportive team where everyone - no matter what role - contributes ideas and drive outcomes. What role will you play? Working as part of a technical team, you will deliver high quality software that is thoroughly tested and optimized, while building solutions and integrations from requirements and providing maintenance and enhancements to the existing code base. You will also contribute to the ongoing evolution of our platform design and architecture. You will be building solutions to manage and convert raw data into information that can be interpreted by data scientists and business analysts. As well as this you will help design and develop reusable data pipelines for ingestion and consumption through Macquarie Asset Management's data platform. You will be exposed to new server less based solutions, microservice architecture, delta lake and expanding brand new applications in the Cloud and maintaining Infrastructure as Code (IaC). What you offer 3-5+ years of full stack development experience with design, development, testing, deployment, and version control Proven development skills to work with Python, Structured Query Language (SQL) , ReactJS, REST Api. Hands-on experience with Amazon Web Services (AWS, EC2, S3, RDS, DynamoDB, Lambda and EBS) for designing scalable, cloud-native, distributed software utilising modern development architectures Analytical and problem-solving abilities, coupled with good communication skills We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria and location, include: Hybrid and flexible working arrangements One wellbeing leave day per year and minimum 25 days of annual leave Primary carers are eligible for minimum 20 weeks paid leave and minimum 6 weeks for secondary carer Paid volunteer leave and donation matching Range of benefits to support your physical, psychological and financial wellbeing Employee Assistance Program Recognition and service awards About the Corporate Operations Group In our Corporate Operations Group, you will work at the heart of Macquarie. Join a collaborative team who accelerate digitalisation, sustainability and social impact for the benefit of our people, customers, shareholders and communities. Our teams include technology, digital transformation and data, operations, human resources, business services, corporate strategy and solutions and the Macquarie Group Foundation. Our commitment to Diversity, Equity and Inclusion We are committed to providing a working environment that embraces diversity, equity and inclusion. As an inclusive employer, Macquarie does not discriminate on the grounds of age, disability, sex, sexual orientation, gender identity or expression, marriage, civil partnership, pregnancy, maternity, race (including color and ethnic or national origins), religion or belief.
Apr 17, 2024
Full time
Private Credit business is going through significant growth. This an opportunity to work with a global technology team in building and providing long term strategic solutions by integrating in-house and vendor applications involving new development and greenfield projects to develop strong foundations for the future business and technology growth. At Macquarie, we are working to create lasting value for our communities, our clients and our people. We are a global financial services group operating in 34 markets and with 54 years of unbroken profitability. You'll be part of a supportive team where everyone - no matter what role - contributes ideas and drive outcomes. What role will you play? Working as part of a technical team, you will deliver high quality software that is thoroughly tested and optimized, while building solutions and integrations from requirements and providing maintenance and enhancements to the existing code base. You will also contribute to the ongoing evolution of our platform design and architecture. You will be building solutions to manage and convert raw data into information that can be interpreted by data scientists and business analysts. As well as this you will help design and develop reusable data pipelines for ingestion and consumption through Macquarie Asset Management's data platform. You will be exposed to new server less based solutions, microservice architecture, delta lake and expanding brand new applications in the Cloud and maintaining Infrastructure as Code (IaC). What you offer 3-5+ years of full stack development experience with design, development, testing, deployment, and version control Proven development skills to work with Python, Structured Query Language (SQL) , ReactJS, REST Api. Hands-on experience with Amazon Web Services (AWS, EC2, S3, RDS, DynamoDB, Lambda and EBS) for designing scalable, cloud-native, distributed software utilising modern development architectures Analytical and problem-solving abilities, coupled with good communication skills We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria and location, include: Hybrid and flexible working arrangements One wellbeing leave day per year and minimum 25 days of annual leave Primary carers are eligible for minimum 20 weeks paid leave and minimum 6 weeks for secondary carer Paid volunteer leave and donation matching Range of benefits to support your physical, psychological and financial wellbeing Employee Assistance Program Recognition and service awards About the Corporate Operations Group In our Corporate Operations Group, you will work at the heart of Macquarie. Join a collaborative team who accelerate digitalisation, sustainability and social impact for the benefit of our people, customers, shareholders and communities. Our teams include technology, digital transformation and data, operations, human resources, business services, corporate strategy and solutions and the Macquarie Group Foundation. Our commitment to Diversity, Equity and Inclusion We are committed to providing a working environment that embraces diversity, equity and inclusion. As an inclusive employer, Macquarie does not discriminate on the grounds of age, disability, sex, sexual orientation, gender identity or expression, marriage, civil partnership, pregnancy, maternity, race (including color and ethnic or national origins), religion or belief.
Machine Learning Engineer Analytics Centre of Excellence (ACOE) London/Hybrid The Analytics Centre of Excellence (ACOE) is positively impacting patient lives through the anticipation and delivery of Decision Intelligence solutions that increase clinical trial success, shorten drug development timelines, and reduce costs in bringing new drugs to market, getting much-needed drugs to patients faster through successful clinical trial delivery. Our vision at the ACOE is that every decision our users and clients make in R&D is made through Decision Intelligence, allowing speedy access to safe, novel, and effective treatments for all patients. ACOE Product Portfolio: In trial strategy, we are using Machine Learning (ML) to recommend countries and clinical trial sites and accurately predict clinical study timelines. We are deploying ML at clinical trial sites to read Electronic Medical Records data and find undiagnosed patients that are otherwise challenging to identify. We are optimizing our patient outreach targeting and are predicting participant dropout. In addition, problems in patient recruitment are being solved with ML. Further upstream in R&D we are predicting clinical trial outcomes, drug-protein interactions, repurposing drugs and even leveraging ML to optimize molecules. Job Overview Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Facilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypes Facilitates the development of features of models on individual projects and/or products with guidance and support from others Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists Facilitates the building and training of new production grade algorithms that can learn from complex, high dimensionality data to uncover patterns from which machine learning models and applications can be developed Uses a variety of techniques to improve the performance of individual natural language processing and/or machine learning algorithms Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery What we're looking for Master's Degree Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field Several years' experience working on creating machine learning algorithms Programming experience using one or more of the following: Python, Java, C++, R, Go, Kubernetes, Deep learning or equivalent. Python (Scikit-learn, Tensor Flow, Pandas, NumPy, SciPy) SQL, Linux/mac command-line tools Experience with building, testing, measuring, and deploying machine learning models in production Familiarity with ML algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc.) Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.) Previous experience of owning, maintaining, and enhancing software data products Attention to clarity of code, ease of development, and correctness of implementations Good knowledge of software development best practices including testing, continuous integration, and DevOps tools Preferred Requirements: Knowledge and experience of Hierarchical Modelling Experience with clinical domain and with regulated data Used Deep Neural Network libraries such as Tensor Flow, especially with Bayesian Neural Networks Knowledge of cloud systems such as AWS, Azure, GCP and containerization such as Docker Experience working with large, real-world datasets Demonstrated in-depth understanding of product development lifecycle Demonstrated aptitude for and interest in peer mentorship Experience deploying code into production through CI/CD tools Knowledge of biostatistics/life sciences/healthcare technology Knowledge of UX principles Experience working in the Hadoop ecosystem Why Join? Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. You will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry. You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. It's an exciting time to join and reimagine what's possible in healthcare. IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential. We thank all applicants for their interest; however only those selected for interview will be contacted. IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible - to help our customers create a healthier world. Learn more at
Apr 17, 2024
Full time
Machine Learning Engineer Analytics Centre of Excellence (ACOE) London/Hybrid The Analytics Centre of Excellence (ACOE) is positively impacting patient lives through the anticipation and delivery of Decision Intelligence solutions that increase clinical trial success, shorten drug development timelines, and reduce costs in bringing new drugs to market, getting much-needed drugs to patients faster through successful clinical trial delivery. Our vision at the ACOE is that every decision our users and clients make in R&D is made through Decision Intelligence, allowing speedy access to safe, novel, and effective treatments for all patients. ACOE Product Portfolio: In trial strategy, we are using Machine Learning (ML) to recommend countries and clinical trial sites and accurately predict clinical study timelines. We are deploying ML at clinical trial sites to read Electronic Medical Records data and find undiagnosed patients that are otherwise challenging to identify. We are optimizing our patient outreach targeting and are predicting participant dropout. In addition, problems in patient recruitment are being solved with ML. Further upstream in R&D we are predicting clinical trial outcomes, drug-protein interactions, repurposing drugs and even leveraging ML to optimize molecules. Job Overview Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Facilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypes Facilitates the development of features of models on individual projects and/or products with guidance and support from others Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists Facilitates the building and training of new production grade algorithms that can learn from complex, high dimensionality data to uncover patterns from which machine learning models and applications can be developed Uses a variety of techniques to improve the performance of individual natural language processing and/or machine learning algorithms Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery What we're looking for Master's Degree Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field Several years' experience working on creating machine learning algorithms Programming experience using one or more of the following: Python, Java, C++, R, Go, Kubernetes, Deep learning or equivalent. Python (Scikit-learn, Tensor Flow, Pandas, NumPy, SciPy) SQL, Linux/mac command-line tools Experience with building, testing, measuring, and deploying machine learning models in production Familiarity with ML algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc.) Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.) Previous experience of owning, maintaining, and enhancing software data products Attention to clarity of code, ease of development, and correctness of implementations Good knowledge of software development best practices including testing, continuous integration, and DevOps tools Preferred Requirements: Knowledge and experience of Hierarchical Modelling Experience with clinical domain and with regulated data Used Deep Neural Network libraries such as Tensor Flow, especially with Bayesian Neural Networks Knowledge of cloud systems such as AWS, Azure, GCP and containerization such as Docker Experience working with large, real-world datasets Demonstrated in-depth understanding of product development lifecycle Demonstrated aptitude for and interest in peer mentorship Experience deploying code into production through CI/CD tools Knowledge of biostatistics/life sciences/healthcare technology Knowledge of UX principles Experience working in the Hadoop ecosystem Why Join? Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. You will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry. You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. It's an exciting time to join and reimagine what's possible in healthcare. IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential. We thank all applicants for their interest; however only those selected for interview will be contacted. IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible - to help our customers create a healthier world. Learn more at
Algorithm Scientist/Data Analyst/Mathematician/Maths Modelling scientist/engineer detail-oriented individual with a strong analytical mindset Data Scientist/Data Analyst will have excellent working experience if python or matlab or C++ Good qualifications in Maths or Physics or Computer Science or Physical science Strong analytical, mathematical, and problem-solving skills Demonstrable accuracy and attention to detail Ability to analyse and interpret numerical data through statistical analysis, modelling, and optimisation techniques. As a supply hero with rTriibe Numerical data analysis to obtain relevant information for the project Strong computer fundamentals such as Excel, VBA, SQL or Python experience preferred Willingness to learn additional skills such as PySpark and Data Modelling Some understanding of data visualisation and/or wider user interface design an advantage
Apr 17, 2024
Full time
Algorithm Scientist/Data Analyst/Mathematician/Maths Modelling scientist/engineer detail-oriented individual with a strong analytical mindset Data Scientist/Data Analyst will have excellent working experience if python or matlab or C++ Good qualifications in Maths or Physics or Computer Science or Physical science Strong analytical, mathematical, and problem-solving skills Demonstrable accuracy and attention to detail Ability to analyse and interpret numerical data through statistical analysis, modelling, and optimisation techniques. As a supply hero with rTriibe Numerical data analysis to obtain relevant information for the project Strong computer fundamentals such as Excel, VBA, SQL or Python experience preferred Willingness to learn additional skills such as PySpark and Data Modelling Some understanding of data visualisation and/or wider user interface design an advantage
NLP Machine Learning Engineer Tech Company Permanent £60,000 - £80,000 + benefits London (hybrid - 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models. Key skills/experience required: • A degree in STEM subject • 2+ years industry experience • Solid experience building ML models • Industry experience focused on using NLP techniques to train models • Experience developing ML solutions to Cloud (AWS ideally) • Excellent grasp of Python/SQL + machine learning core libraries • Some experience/interest in Computer vision is nice to have • Experience building Large Language Models (LLMs) is nice to have For more information, please send an up-to-date CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Clustering , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
Apr 16, 2024
Full time
NLP Machine Learning Engineer Tech Company Permanent £60,000 - £80,000 + benefits London (hybrid - 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models. Key skills/experience required: • A degree in STEM subject • 2+ years industry experience • Solid experience building ML models • Industry experience focused on using NLP techniques to train models • Experience developing ML solutions to Cloud (AWS ideally) • Excellent grasp of Python/SQL + machine learning core libraries • Some experience/interest in Computer vision is nice to have • Experience building Large Language Models (LLMs) is nice to have For more information, please send an up-to-date CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Clustering , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
Senior Applied Data Scientist - Causal AI for Demand Forecasting Location: Offsite, London, United Kingdom Area of Interest Administrative and Business Support Job Type Professional AI or Artificial Intelligence Job Id Who we are:The post-pandemic years have exposed inherent biases and limitations in expert-driven and statistical/Traditional ML-based forecasting approaches.Cisco wasn't immune and saw a 4X increase in backlog, revenue impact, and a subsequent 3X inventory increase.The Forecasting Data Science team within Global Planning is solving this by pioneering the application of Causal AI to re-invent Demand Forecasting of Cisco's product portfolio to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable game-changing opportunities across Cisco and its Supply Chain.The team was recognized by Gartner in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the world in the Process and Technology Innovation category. Who you will work with: A high caliber and engaged team plus an eco-system of world-leading AI partners chartered with developing and operationalizing an inspectable, multi-dimensional system of causal models that provides an integrated, comprehensive, and evidence-based point-of-view of Cisco's short and long-term demand at aggregated and product levels. This team is responsible for incorporating planning, product, sales, and customer intelligence from across the enterprise and from external global macro-economic and market data that relates to the demand for Cisco's products into the structure of this system of models. The team delivers and continuously improves AI-based forecasts, forecast ranges, and financial and prescriptive insights from this system through connections with Planning and other Supply Chain and Enterprise teams for the different facets of Cisco's business. The difference you will make: You will bring your expertise, experience, and innovation to play a significant role in solving the challenges which will enable developing and implementing an industry-leading Causal AI-based forecasting system that effectively enhances decision rigor and maximizes operational efficiencies across Enterprise and Supply Chain functions at Cisco. What you will do: Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Excel in developing high quality, accurate, parsimonious models that are robust and have a long shelf-life. Improve the efficiency and scalability of the Forecasting System. Monitor the forecasts and key forecast performance metrics, understanding root causes of changes in the forecast and metrics as a core part of continuously improvement and customer communication. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, Product Management, Sales, and other Cisco organizations to understand, discover, and characterize relationships and patterns between Cisco demand and its relation to product, technology, lifecycle, supply, customer, market, competitor, sales behavior, and macro factors. Engineer model features using these factors, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate into structured causal models. Develop and evolve Dashboards to expose key insights from the causal Forecasts and their drivers to accelerate and continuously improve the solution and increase stakeholder engagement and adoption. Provide integrated, reconciled, and logically sound evidence-based views for different facets of Cisco's short and long-term demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts. Leverage and incorporate appropriate machine learning approaches including customization of recently published research as needed to build better Causal AI solutions. Connect with stakeholders to communicate the short-and-long term AI forecasts and the changes in these forecasts. Discern and articulate the story in the forecasts and forecast changes, areas of discrepancies or differences with expert forecasts, understanding and accounting for the confidence level of these forecasts. Continuously improve different elements of this system to improve forecast accuracy and incorporate learnings from formal and informal collaborations with stakeholders and other experts into the AI system. Work with our AI vendors to enhance their platforms to improve Causal Inference based forecasting, stakeholder engagement, and decision support. Provide technical direction and coaching to less experienced data scientists and data engineers in the team, and to interns and for collaborations with Universities. Minimum Qualifications: Extensive Advanced Analytics experience with a Masters degree or some experience with a Ph.D. in a Quantitative field leveraging statistical and machine learning methods in the thesis. Strong all-round foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Proven modeling skills that have delivered an effective predictive solution to solve a business problem with minimal supervision Expertise in Python, with advanced data analysis and data engineering skills, including using SQL Strong Computer Science foundation Strong critical thinking, with a sharp eye for patterns and the skills to draw out the story and conclusions from data and modeling experiments in real-time. Experience in developing and operationalizing scalable ML solutions in cloud environments based on large datasets. Demonstrated structured data wrangling and mining skills that extract actionable insights from data, including in real-time hackathon-like settings. Practical knowledge of the advantages and pitfalls of different machine learning approaches, as well as a strong grounding in the theoretical foundations Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Strong growth mindset and sense of ownership. Innate passion and curiosity to understand and improve the system and connect the dots. Preferred Qualifications: Advanced Analytics experience with a Masters degree or experience with a PhD in Statistics, Mathematics or Applied Mathematics, Physics, Engineering, or related quantitative field. Experience with global financial markets, macro-economics, micro-economics, econometrics, and Corporate Finance. Substantial experience using Causal AI and Structured Causal Models in Demand Forecasting and ideally also in other complex or dynamic domains like marketing/pricing. Practical expertise and deep understanding of statistics and causal inference in time series settings. Experience with NLP, Recommender Systems, and Deep Learning methods. Understanding of Gen AI/LLMs including RAGs and fine-tuning, and Reinforcement Learning. Experience in visualization design and development with Python based libraries. Project management skills, with an ability to deliver results in a fast-paced environment. A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realizing feasible data science solutions. A strong bias for action, delivering iterative results quickly rather than waiting for perfection. Why Cisco? . We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters - with people like you! Nearly every internet connection around the world touches Cisco. We're the Internet's optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it's not what we make but what we make happen which marks us out. We're helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We're helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world - whether through 5G, or otherwise. We tackle whatever challenges come our way. We have each other's backs, we recognize our accomplishments, and we grow together. We celebrate and support one another - from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that). We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we're committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions. So, you have colorful hair? Don't care. Tattoos . click apply for full job details
Apr 16, 2024
Full time
Senior Applied Data Scientist - Causal AI for Demand Forecasting Location: Offsite, London, United Kingdom Area of Interest Administrative and Business Support Job Type Professional AI or Artificial Intelligence Job Id Who we are:The post-pandemic years have exposed inherent biases and limitations in expert-driven and statistical/Traditional ML-based forecasting approaches.Cisco wasn't immune and saw a 4X increase in backlog, revenue impact, and a subsequent 3X inventory increase.The Forecasting Data Science team within Global Planning is solving this by pioneering the application of Causal AI to re-invent Demand Forecasting of Cisco's product portfolio to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable game-changing opportunities across Cisco and its Supply Chain.The team was recognized by Gartner in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the world in the Process and Technology Innovation category. Who you will work with: A high caliber and engaged team plus an eco-system of world-leading AI partners chartered with developing and operationalizing an inspectable, multi-dimensional system of causal models that provides an integrated, comprehensive, and evidence-based point-of-view of Cisco's short and long-term demand at aggregated and product levels. This team is responsible for incorporating planning, product, sales, and customer intelligence from across the enterprise and from external global macro-economic and market data that relates to the demand for Cisco's products into the structure of this system of models. The team delivers and continuously improves AI-based forecasts, forecast ranges, and financial and prescriptive insights from this system through connections with Planning and other Supply Chain and Enterprise teams for the different facets of Cisco's business. The difference you will make: You will bring your expertise, experience, and innovation to play a significant role in solving the challenges which will enable developing and implementing an industry-leading Causal AI-based forecasting system that effectively enhances decision rigor and maximizes operational efficiencies across Enterprise and Supply Chain functions at Cisco. What you will do: Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Excel in developing high quality, accurate, parsimonious models that are robust and have a long shelf-life. Improve the efficiency and scalability of the Forecasting System. Monitor the forecasts and key forecast performance metrics, understanding root causes of changes in the forecast and metrics as a core part of continuously improvement and customer communication. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, Product Management, Sales, and other Cisco organizations to understand, discover, and characterize relationships and patterns between Cisco demand and its relation to product, technology, lifecycle, supply, customer, market, competitor, sales behavior, and macro factors. Engineer model features using these factors, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate into structured causal models. Develop and evolve Dashboards to expose key insights from the causal Forecasts and their drivers to accelerate and continuously improve the solution and increase stakeholder engagement and adoption. Provide integrated, reconciled, and logically sound evidence-based views for different facets of Cisco's short and long-term demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts. Leverage and incorporate appropriate machine learning approaches including customization of recently published research as needed to build better Causal AI solutions. Connect with stakeholders to communicate the short-and-long term AI forecasts and the changes in these forecasts. Discern and articulate the story in the forecasts and forecast changes, areas of discrepancies or differences with expert forecasts, understanding and accounting for the confidence level of these forecasts. Continuously improve different elements of this system to improve forecast accuracy and incorporate learnings from formal and informal collaborations with stakeholders and other experts into the AI system. Work with our AI vendors to enhance their platforms to improve Causal Inference based forecasting, stakeholder engagement, and decision support. Provide technical direction and coaching to less experienced data scientists and data engineers in the team, and to interns and for collaborations with Universities. Minimum Qualifications: Extensive Advanced Analytics experience with a Masters degree or some experience with a Ph.D. in a Quantitative field leveraging statistical and machine learning methods in the thesis. Strong all-round foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Proven modeling skills that have delivered an effective predictive solution to solve a business problem with minimal supervision Expertise in Python, with advanced data analysis and data engineering skills, including using SQL Strong Computer Science foundation Strong critical thinking, with a sharp eye for patterns and the skills to draw out the story and conclusions from data and modeling experiments in real-time. Experience in developing and operationalizing scalable ML solutions in cloud environments based on large datasets. Demonstrated structured data wrangling and mining skills that extract actionable insights from data, including in real-time hackathon-like settings. Practical knowledge of the advantages and pitfalls of different machine learning approaches, as well as a strong grounding in the theoretical foundations Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Strong growth mindset and sense of ownership. Innate passion and curiosity to understand and improve the system and connect the dots. Preferred Qualifications: Advanced Analytics experience with a Masters degree or experience with a PhD in Statistics, Mathematics or Applied Mathematics, Physics, Engineering, or related quantitative field. Experience with global financial markets, macro-economics, micro-economics, econometrics, and Corporate Finance. Substantial experience using Causal AI and Structured Causal Models in Demand Forecasting and ideally also in other complex or dynamic domains like marketing/pricing. Practical expertise and deep understanding of statistics and causal inference in time series settings. Experience with NLP, Recommender Systems, and Deep Learning methods. Understanding of Gen AI/LLMs including RAGs and fine-tuning, and Reinforcement Learning. Experience in visualization design and development with Python based libraries. Project management skills, with an ability to deliver results in a fast-paced environment. A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realizing feasible data science solutions. A strong bias for action, delivering iterative results quickly rather than waiting for perfection. Why Cisco? . We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters - with people like you! Nearly every internet connection around the world touches Cisco. We're the Internet's optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it's not what we make but what we make happen which marks us out. We're helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We're helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world - whether through 5G, or otherwise. We tackle whatever challenges come our way. We have each other's backs, we recognize our accomplishments, and we grow together. We celebrate and support one another - from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that). We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we're committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions. So, you have colorful hair? Don't care. Tattoos . click apply for full job details
We are currently looking for a Data Scientist to join one of our clients in Leicester. This is an exciting opportunity for someone who has experience in a similar role, to join a company that can develop your career and support you through the next step. An insight to the role: Driving data within the business, monitoring & maintaining productionised models, identifying, and developing long-term processes, frameworks, tools, methods, and standards. Engaging with business stakeholders to problem solve with data. Collaborating with the data engineering team to improve data accessibility. We are looking for someone who has: Experience in a similar role Experience with SQL / PostgreSQL / Microsoft SQL / Oracle Proficiency in Python or R Good statistical knowledge Capability to confidently communicate with stakeholders and explain data when necessary. This is a hybrid role, with 2-3 days in the office, the remainder from home. Early finish of 15:30 on a Friday. In addition to a basic salary, this role offers a bonus and company benefits such as private healthcare plan, 22 days holiday (increasing 1 per year of service up to an additional 5), and more. Please get in touch for more details on the role, including company and salary. Barker Ross Group values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Apr 16, 2024
Full time
We are currently looking for a Data Scientist to join one of our clients in Leicester. This is an exciting opportunity for someone who has experience in a similar role, to join a company that can develop your career and support you through the next step. An insight to the role: Driving data within the business, monitoring & maintaining productionised models, identifying, and developing long-term processes, frameworks, tools, methods, and standards. Engaging with business stakeholders to problem solve with data. Collaborating with the data engineering team to improve data accessibility. We are looking for someone who has: Experience in a similar role Experience with SQL / PostgreSQL / Microsoft SQL / Oracle Proficiency in Python or R Good statistical knowledge Capability to confidently communicate with stakeholders and explain data when necessary. This is a hybrid role, with 2-3 days in the office, the remainder from home. Early finish of 15:30 on a Friday. In addition to a basic salary, this role offers a bonus and company benefits such as private healthcare plan, 22 days holiday (increasing 1 per year of service up to an additional 5), and more. Please get in touch for more details on the role, including company and salary. Barker Ross Group values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Data Engineer Remote, UK We're on the lookout for a skilled Data Engineer to join the Impellam Group IT team. You'll have a significant role, developing robust, scalable data infrastructures, expertly handling a variety of data types and maintaining the highest level of data integrity. Responsibilities : Design and implement scalable and reliable data pipelines and platforms using various technology solutions. Extract, transform, and load data from various sources and formats such as structured, semi-structured, and unstructured data. Ensure data quality, integrity, and security by applying data governance and validation rules. Optimize data performance and efficiency by tuning, partitioning, indexing, and caching data. Develop and maintain data models, schemas, and metadata using Azure Data Verse and other tools. Create and update data documentation and specifications. Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver data solutions. Support and troubleshoot data issues and incidents. Research and evaluate new data technologies and trends. Skills and experience that will ensure your success here: A minimum of 3 years in Data Engineering with a proven track record Proficient in SQL, Python, Java, or C# programming languages. Comfortable working with cloud services like Azure Data Factory. Experienced in data warehousing and lake technologies, with the ability to model data effectively. Skilled in data integration, ETL processes, and ensuring data quality. Capable of turning data into insights using visualization and reporting tools. Analytical and problem-solving mindset. Team player with the ability to share knowledge and support end-users. Able to effectively document business use-cases, data sources, and analytical requirements. Work well independently or in a team, with a commitment to detail and quality. Join us to make a significant impact in our data-driven initiatives. Your expertise will help broaden our reach and strengthen our data capabilities. Why work with us? We specialise and recruit across all STEM industries, and we are a global force to be reckoned with when it comes to Managed Services, RPO and Project Services You will be mentored by true experts in tech, who are keen to help you grow and develop yourself Great career path ahead of you. The role is remote, and we embrace a flexible working framework here to help you have a great life-work balance We're not just work; we love a good get together, and we don't miss out on the opportunity to dress up for conferences and black-tie award events, go out for volunteering events and a bunch of fun activities - if that's your cup of tea of course We have a lovely benefits suite, with a bunch of days off and perks to make your life easier. What are you waiting for? Apply today and let's have a chat Please note, we can only consider candidates with full Right to Work in the UK, that are currently based in England. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, gender reassignment, marriage and civil partnerships, pregnancy or maternity or age.
Apr 16, 2024
Full time
Data Engineer Remote, UK We're on the lookout for a skilled Data Engineer to join the Impellam Group IT team. You'll have a significant role, developing robust, scalable data infrastructures, expertly handling a variety of data types and maintaining the highest level of data integrity. Responsibilities : Design and implement scalable and reliable data pipelines and platforms using various technology solutions. Extract, transform, and load data from various sources and formats such as structured, semi-structured, and unstructured data. Ensure data quality, integrity, and security by applying data governance and validation rules. Optimize data performance and efficiency by tuning, partitioning, indexing, and caching data. Develop and maintain data models, schemas, and metadata using Azure Data Verse and other tools. Create and update data documentation and specifications. Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver data solutions. Support and troubleshoot data issues and incidents. Research and evaluate new data technologies and trends. Skills and experience that will ensure your success here: A minimum of 3 years in Data Engineering with a proven track record Proficient in SQL, Python, Java, or C# programming languages. Comfortable working with cloud services like Azure Data Factory. Experienced in data warehousing and lake technologies, with the ability to model data effectively. Skilled in data integration, ETL processes, and ensuring data quality. Capable of turning data into insights using visualization and reporting tools. Analytical and problem-solving mindset. Team player with the ability to share knowledge and support end-users. Able to effectively document business use-cases, data sources, and analytical requirements. Work well independently or in a team, with a commitment to detail and quality. Join us to make a significant impact in our data-driven initiatives. Your expertise will help broaden our reach and strengthen our data capabilities. Why work with us? We specialise and recruit across all STEM industries, and we are a global force to be reckoned with when it comes to Managed Services, RPO and Project Services You will be mentored by true experts in tech, who are keen to help you grow and develop yourself Great career path ahead of you. The role is remote, and we embrace a flexible working framework here to help you have a great life-work balance We're not just work; we love a good get together, and we don't miss out on the opportunity to dress up for conferences and black-tie award events, go out for volunteering events and a bunch of fun activities - if that's your cup of tea of course We have a lovely benefits suite, with a bunch of days off and perks to make your life easier. What are you waiting for? Apply today and let's have a chat Please note, we can only consider candidates with full Right to Work in the UK, that are currently based in England. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, gender reassignment, marriage and civil partnerships, pregnancy or maternity or age.
Data Engineer 6 Month Contract Fully remote Up to £400 a day Key Skills: Oracle, Redshift, PostgreSQL and coding experience As a Data Engineer, you should be an expert in the architecture of DW solutions for the Enterprise using multiple platforms. You should excel in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making. You should have the ability to develop and tune SQL to provide optimized solutions to the business. BASIC QUALIFICATIONS A desire to work in a collaborative, intellectually curious environment. Degree in Computer Science, Engineering, Mathematics, or a related field or 5+ years industry experience Demonstrated strength in data modeling, ETL development, and data warehousing. Data Warehousing Experience with Oracle, Redshift, PostgreSQL, etc. Query performance tuning skills Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) PREFERRED QUALIFICATIONS Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Experience building data products incrementally and integrating and managing datasets from multiple sources Experience leading large-scale data warehousing and analytics projects, including using AWS technologies - Redshift, S3, EC2, etc. Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space Linux/UNIX. Experience with AWS If you are interested please send your CV to
Apr 16, 2024
Full time
Data Engineer 6 Month Contract Fully remote Up to £400 a day Key Skills: Oracle, Redshift, PostgreSQL and coding experience As a Data Engineer, you should be an expert in the architecture of DW solutions for the Enterprise using multiple platforms. You should excel in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making. You should have the ability to develop and tune SQL to provide optimized solutions to the business. BASIC QUALIFICATIONS A desire to work in a collaborative, intellectually curious environment. Degree in Computer Science, Engineering, Mathematics, or a related field or 5+ years industry experience Demonstrated strength in data modeling, ETL development, and data warehousing. Data Warehousing Experience with Oracle, Redshift, PostgreSQL, etc. Query performance tuning skills Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) PREFERRED QUALIFICATIONS Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets Experience building data products incrementally and integrating and managing datasets from multiple sources Experience leading large-scale data warehousing and analytics projects, including using AWS technologies - Redshift, S3, EC2, etc. Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space Linux/UNIX. Experience with AWS If you are interested please send your CV to
Intuit's Small Business Group (SBG), serves the needs of small businesses and self-employed through Quickbooks and our ecosystem of attached products. Our mission is to power prosperity around the world, which means dramatically rethinking how we enable small businesses and individuals to run their businesses with confidence. Intuit UK is searching for a talented, hands-on Data Scientist to help deliver data science initiatives across the UK Business. We are an exciting, fast paced, and innovative team, leveraging industry-leading tools and best practices. As a Data Scientist, you will collaborate with cross functional teams to develop ML models and customer facing AI solutions. You will take complex concepts and communicate them to both technical and non-technical leaders in order to effect change for our customers. You will play an instrumental part in shaping the strategy and future of the UK Data Science Program. Working across Intuit AI, Data Engineering, Product and Marketing you will be involved in every step of the modeling process from creating and maintaining model data pipelines to A/B testing the models in production with white space opportunities to drive innovation and personal development. Responsibilities Perform hands-on data analysis and modeling with large data sets Lead experimental designs and measurement plans Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver Advanced in SQL and a statistical programming language such as Python or R 2+ years experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining Expertise in experimental design and Multivariate/A-B testing Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences. Undergraduate Degree in Quantitative Field, or equivalent experience
Apr 16, 2024
Full time
Intuit's Small Business Group (SBG), serves the needs of small businesses and self-employed through Quickbooks and our ecosystem of attached products. Our mission is to power prosperity around the world, which means dramatically rethinking how we enable small businesses and individuals to run their businesses with confidence. Intuit UK is searching for a talented, hands-on Data Scientist to help deliver data science initiatives across the UK Business. We are an exciting, fast paced, and innovative team, leveraging industry-leading tools and best practices. As a Data Scientist, you will collaborate with cross functional teams to develop ML models and customer facing AI solutions. You will take complex concepts and communicate them to both technical and non-technical leaders in order to effect change for our customers. You will play an instrumental part in shaping the strategy and future of the UK Data Science Program. Working across Intuit AI, Data Engineering, Product and Marketing you will be involved in every step of the modeling process from creating and maintaining model data pipelines to A/B testing the models in production with white space opportunities to drive innovation and personal development. Responsibilities Perform hands-on data analysis and modeling with large data sets Lead experimental designs and measurement plans Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver Advanced in SQL and a statistical programming language such as Python or R 2+ years experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining Expertise in experimental design and Multivariate/A-B testing Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences. Undergraduate Degree in Quantitative Field, or equivalent experience
Who we are We are a highly ambitious team; focused and truly collaborative. We empower people to take ownership through meaningful and impactful work. We exist to help people and the planet, it's a big statement but one you'll wear with pride. Raylo is here to change how people get their tech for good. That means giving them access to the products they really want, but doing so in a responsible, sustainable way. We provide Seamless Circularity, where every device gets an extended life through our automatic, effortless cycle of refurb, reuse and recycle. Our secret sauce is leasing. By providing a subscription alternative, we're cracking open a staid old market and bringing real change to consumers and the environment. Less waste, better value. We're serious - we want to lead the change in consumption of consumer technology. Life at Raylo • We are an organically collaborative and dynamic team • We embrace innovation, seek out challenges and always aim for excellence • We take intelligent risks, celebrate our wins, and learn from our mistakes • We help each other by listening, challenging thought and continually improving • We live our mission, walk in our customers' shoes, focus and execute, and are a curious and gritty bunch What to Expect: This is a fantastic opportunity for an ambitious Data Scientist to join and set the direction for the data team within a high-growth startup. We're looking for someone who wants to become the Head of Data Science in the next 2 years with long-term aspirations to become our Chief Data Officer. We're an organisation that sees data as a core competitive advantage and already makes use of Machine Learning modelling in the heart of our business, but has now decided that it's time to supercharge our capabilities. You'll be the first full-time data team member, focusing on cutting-edge statistical and machine learning techniques to extract business value from our wealth of data. What you'll do: You'll be joining a team with an initial data stack that's been put together thoughtfully and for scale. Your challenge will be to grow this infrastructure to support rapid development and deployment of models across our business, while also working cross-functionally to identify data use cases that don't require sophisticated model builds to deliver step changes in performance. You'll be Raylo's go-to data expert, setting the direction for our data platform and organisation at the C-suite and Co-Founder level. You'll succeed with - 5+ years of data science experience, with a minimum of 2 years in machine learning modelling (essential) - Experience building and deploying machine learning models, using both large and small datasets - A genuine interest in modern developments in the field of statistical modelling and machine learning - Python skills and/or other data pipelining and data engineering experience Nice to haves (but not essential) - Experience in SQL and data warehousing platforms (Snowflake, GCP) - Experience with BI tools (Looker, Tableau, PowerBI) - Experience with data engineering products (Fivetran, Keboola, DBT, Airflow) - Startup/Scaleup or Fintech experience We're not looking for you to meet every point on this job description, please still get in touch if you think you could add value and do your best work here at Raylo. We'd love to have a chat and see if you could be a great fit. Opportunities & Benefits Your chance to make an impact.We want what you can bring - what makes you special. Through trust, collaboration and autonomy, you can have an impact right from the off. Be part of the change. You will join one of the fastest growing fintech startups, backed by Octopus Ventures, Macquarie and Telefónica, where you can change how people get their tech for good Other benefits include; • 33 days holiday per year(25 days, + an extra 8 days to choose the days that mean most to you) • Stock options - get a real stake in Raylo's growth • Hybrid working environment • Enhanced maternity and paternity leave • Workplace nursery scheme • Perkbox membership - hundreds of perks and discounts to support physical, financial and mental wellbeing • To do your best work, we'll give you a laptop and a Raylo phone • Udemy Business corporate subscription - access to 15,000+ courses covering business, tech, and wellness skills • Learning budget - we care deeply about investing in your long-term career growth and potential • Free sustainable breakfast and snacks, every day you're in the office • Fun (yet optional) Raylo quarterly socials, plus summer and Christmas parties Diversity Statement Raylo is an equal opportunities employer and we are committed to building a diverse and inclusive work environment where we learn from each other. We welcome people of diverse backgrounds, experiences, abilities and perspectives and believe it adds value to our organisation. Working at Raylo is super fun and we'd love to tell you more about it.
Apr 16, 2024
Full time
Who we are We are a highly ambitious team; focused and truly collaborative. We empower people to take ownership through meaningful and impactful work. We exist to help people and the planet, it's a big statement but one you'll wear with pride. Raylo is here to change how people get their tech for good. That means giving them access to the products they really want, but doing so in a responsible, sustainable way. We provide Seamless Circularity, where every device gets an extended life through our automatic, effortless cycle of refurb, reuse and recycle. Our secret sauce is leasing. By providing a subscription alternative, we're cracking open a staid old market and bringing real change to consumers and the environment. Less waste, better value. We're serious - we want to lead the change in consumption of consumer technology. Life at Raylo • We are an organically collaborative and dynamic team • We embrace innovation, seek out challenges and always aim for excellence • We take intelligent risks, celebrate our wins, and learn from our mistakes • We help each other by listening, challenging thought and continually improving • We live our mission, walk in our customers' shoes, focus and execute, and are a curious and gritty bunch What to Expect: This is a fantastic opportunity for an ambitious Data Scientist to join and set the direction for the data team within a high-growth startup. We're looking for someone who wants to become the Head of Data Science in the next 2 years with long-term aspirations to become our Chief Data Officer. We're an organisation that sees data as a core competitive advantage and already makes use of Machine Learning modelling in the heart of our business, but has now decided that it's time to supercharge our capabilities. You'll be the first full-time data team member, focusing on cutting-edge statistical and machine learning techniques to extract business value from our wealth of data. What you'll do: You'll be joining a team with an initial data stack that's been put together thoughtfully and for scale. Your challenge will be to grow this infrastructure to support rapid development and deployment of models across our business, while also working cross-functionally to identify data use cases that don't require sophisticated model builds to deliver step changes in performance. You'll be Raylo's go-to data expert, setting the direction for our data platform and organisation at the C-suite and Co-Founder level. You'll succeed with - 5+ years of data science experience, with a minimum of 2 years in machine learning modelling (essential) - Experience building and deploying machine learning models, using both large and small datasets - A genuine interest in modern developments in the field of statistical modelling and machine learning - Python skills and/or other data pipelining and data engineering experience Nice to haves (but not essential) - Experience in SQL and data warehousing platforms (Snowflake, GCP) - Experience with BI tools (Looker, Tableau, PowerBI) - Experience with data engineering products (Fivetran, Keboola, DBT, Airflow) - Startup/Scaleup or Fintech experience We're not looking for you to meet every point on this job description, please still get in touch if you think you could add value and do your best work here at Raylo. We'd love to have a chat and see if you could be a great fit. Opportunities & Benefits Your chance to make an impact.We want what you can bring - what makes you special. Through trust, collaboration and autonomy, you can have an impact right from the off. Be part of the change. You will join one of the fastest growing fintech startups, backed by Octopus Ventures, Macquarie and Telefónica, where you can change how people get their tech for good Other benefits include; • 33 days holiday per year(25 days, + an extra 8 days to choose the days that mean most to you) • Stock options - get a real stake in Raylo's growth • Hybrid working environment • Enhanced maternity and paternity leave • Workplace nursery scheme • Perkbox membership - hundreds of perks and discounts to support physical, financial and mental wellbeing • To do your best work, we'll give you a laptop and a Raylo phone • Udemy Business corporate subscription - access to 15,000+ courses covering business, tech, and wellness skills • Learning budget - we care deeply about investing in your long-term career growth and potential • Free sustainable breakfast and snacks, every day you're in the office • Fun (yet optional) Raylo quarterly socials, plus summer and Christmas parties Diversity Statement Raylo is an equal opportunities employer and we are committed to building a diverse and inclusive work environment where we learn from each other. We welcome people of diverse backgrounds, experiences, abilities and perspectives and believe it adds value to our organisation. Working at Raylo is super fun and we'd love to tell you more about it.
At Hearst UK, there's always more to the story. Join us as our Senior Software Engineer to start the next chapter in your career. We're the UK's leading premium publisher, and the people behind iconic media brands such as Cosmopolitan, Esquire, Elle, Harper's Bazaar and Country Living. We've created a working environment that encourages everyone to pull together. We never stop looking for brave new ideas. We'll always try to develop and improve, we trust each other to do our best, and we have fun as we build on our heritage to make history. Hearst's Media Platforms division is Hearst's internal product, technology and design group, which spans both CDS Global and Hearst Magazines. Media Platforms is looking for a Senior Software Engineer to build performant web applications using a modern JavaScript stack. You will be working on the app that is the first point of contact for the 150 million people that we reach through our iconic and diverse brands mentioned above. And that's just the United States, our global reach is even larger. At Media Platforms, our technology, tools, services and solutions touch hundreds of millions of lives by driving experiences, and growing businesses. Our team of engineers, product managers, data scientists and designers build a suite of products to lead the way in shaping and managing the future of publishing. You'll join a diverse, supportive community of engineers who are creating a modern content technology stack - built from the ground up - to give our clients and users, tools that enable them to tell amazing stories and run their businesses more effectively. We're using modern web technologies to do this, like Python, JavaScript, Node.js, GraphQL, and React. We're building an open, service-oriented platform driven by APIs, and believe in crafting simple, elegant solutions to complex technological and product problems. Our platform is built on AWS and Kubernetes with deployments automated through Slack bots. ABOUT THE ROLE Build the next generation of our world class publishing platform using industry leading providers and technologies serving Hearst's many acclaimed brands. Participate in product and software design discussions, working directly with other engineers, product and design teams, DevOps, and other stakeholders. Use well-reasoned, appropriate design patterns and best practices. ABOUT YOU You take initiative to constantly improve individually and as a part of a team. You have 5+ years of experience building web applications and services. You have the ability to take a feature to full completion - from inception through design, implementation, delivery, and post-release in an iterative agile environment. You have 3+ experience with client and server-side programming in React, Node.js, Python, and other similar languages. You're not tied to a specific language or technology and you're able to quickly adapt and learn new skills. Experience using Docker / Docker Compose for local development. Cloud development - Kubernetes on Amazon AWS or Google Cloud. You have experience designing database schemas, querying for data, and optimizing existing queries in PostgreSQL. You write tests to improve the quality, modularity, and maintainability of your code. You have an understanding of, and experience with, concurrency and asynchronous programming and relational and non-relational databases and data models. You have a Computer Science degree or equivalent real-world experience and knowledge of Computer Science fundamentals. You have strong troubleshooting and problem solving skills. You're an effective communicator. WHAT WE OFFER At Hearst UK, you can choose from a huge range of perks and benefits that can help you learn well, work well and live well including: 25 days' holiday (with the option to buy up to 5 additional holiday days) - pro rated for part-time or fixed-term employees Hybrid working - Three days per week in the office Discounted gym membership Healthcare cash plan Spend a charity day with your favourite good cause Life assurance and pension scheme Regular socials and more! There's more to your story than you imagine. And the next chapter begins right here. Hearst UK is deeply committed to using our influential brands to reflect the world we want to live in - one that respects, protects, represents and uplifts the voices and opinions of all people. As a business, we recognise the significant benefits of creativity, collaboration and innovation that comes with diverse teams. Not only is diversifying the voices in our organization the right thing to do, but it also helps us to make powerful and exciting content that can be enjoyed by many more people. This is why we're working to build a sense of true belonging within our business and foster a culture in which everyone feels heard.
Apr 16, 2024
Full time
At Hearst UK, there's always more to the story. Join us as our Senior Software Engineer to start the next chapter in your career. We're the UK's leading premium publisher, and the people behind iconic media brands such as Cosmopolitan, Esquire, Elle, Harper's Bazaar and Country Living. We've created a working environment that encourages everyone to pull together. We never stop looking for brave new ideas. We'll always try to develop and improve, we trust each other to do our best, and we have fun as we build on our heritage to make history. Hearst's Media Platforms division is Hearst's internal product, technology and design group, which spans both CDS Global and Hearst Magazines. Media Platforms is looking for a Senior Software Engineer to build performant web applications using a modern JavaScript stack. You will be working on the app that is the first point of contact for the 150 million people that we reach through our iconic and diverse brands mentioned above. And that's just the United States, our global reach is even larger. At Media Platforms, our technology, tools, services and solutions touch hundreds of millions of lives by driving experiences, and growing businesses. Our team of engineers, product managers, data scientists and designers build a suite of products to lead the way in shaping and managing the future of publishing. You'll join a diverse, supportive community of engineers who are creating a modern content technology stack - built from the ground up - to give our clients and users, tools that enable them to tell amazing stories and run their businesses more effectively. We're using modern web technologies to do this, like Python, JavaScript, Node.js, GraphQL, and React. We're building an open, service-oriented platform driven by APIs, and believe in crafting simple, elegant solutions to complex technological and product problems. Our platform is built on AWS and Kubernetes with deployments automated through Slack bots. ABOUT THE ROLE Build the next generation of our world class publishing platform using industry leading providers and technologies serving Hearst's many acclaimed brands. Participate in product and software design discussions, working directly with other engineers, product and design teams, DevOps, and other stakeholders. Use well-reasoned, appropriate design patterns and best practices. ABOUT YOU You take initiative to constantly improve individually and as a part of a team. You have 5+ years of experience building web applications and services. You have the ability to take a feature to full completion - from inception through design, implementation, delivery, and post-release in an iterative agile environment. You have 3+ experience with client and server-side programming in React, Node.js, Python, and other similar languages. You're not tied to a specific language or technology and you're able to quickly adapt and learn new skills. Experience using Docker / Docker Compose for local development. Cloud development - Kubernetes on Amazon AWS or Google Cloud. You have experience designing database schemas, querying for data, and optimizing existing queries in PostgreSQL. You write tests to improve the quality, modularity, and maintainability of your code. You have an understanding of, and experience with, concurrency and asynchronous programming and relational and non-relational databases and data models. You have a Computer Science degree or equivalent real-world experience and knowledge of Computer Science fundamentals. You have strong troubleshooting and problem solving skills. You're an effective communicator. WHAT WE OFFER At Hearst UK, you can choose from a huge range of perks and benefits that can help you learn well, work well and live well including: 25 days' holiday (with the option to buy up to 5 additional holiday days) - pro rated for part-time or fixed-term employees Hybrid working - Three days per week in the office Discounted gym membership Healthcare cash plan Spend a charity day with your favourite good cause Life assurance and pension scheme Regular socials and more! There's more to your story than you imagine. And the next chapter begins right here. Hearst UK is deeply committed to using our influential brands to reflect the world we want to live in - one that respects, protects, represents and uplifts the voices and opinions of all people. As a business, we recognise the significant benefits of creativity, collaboration and innovation that comes with diverse teams. Not only is diversifying the voices in our organization the right thing to do, but it also helps us to make powerful and exciting content that can be enjoyed by many more people. This is why we're working to build a sense of true belonging within our business and foster a culture in which everyone feels heard.
Senior Data Scientist Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to . We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture. What we're looking for: As part of our on-going global expansion strategy, we are currently hiring Senior Data Scientists as Capco continues to grow it's UK Data Practice in our London office. The Senior Data Scientist should be experienced in using statistical, algorithmic, mining and/or visualisation techniques to address complex business problems. You will be an SME on data science / ML solutions and use case development. The successful candidate will advise the Data Scientists and Engineers on technical requirements around the model design, model architecture, model calibration, solution design, and solutions output In addition to this, they will be expected to leverage their expertise to train and grow Data Scientists at a range of experience levels. Responsibilities Develop prototype and proof of concept solutions making use of cutting-edge AI, machine learning and statistical approaches to solve real-world and business problems Technically lead multiple pods of data science & engineers to develop solutions from a business problem into POCs, MVPs, or fully-fledged solutions while collaborating closely with domain experts. Help transition from development environment to production Act as a subject matter expert in data science and machine learning and coach other data scientists Essential skills Analytics, modelling or software development experience including coding/software development skills. In particular: Hands-on experience in building and implementing data science and machine learning solutions to tackle business problems Comfort with rapid prototyping and disciplined software development processes Experience with Python, ML libraries (e.g. spaCy, NumPy, SciPy, Transformers, etc.)data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras) Demonstrated ability to work on multi-disciplinary teams with diverse skillsets Deploying machine learning models and systems to production (DevOps, MLOps, CI/CD) Experience of working in cloud environments (Azure, GCP, AWS) You are also expected to have: Higher level degree (MsC/PhD) in a numerate discipline. Excellent leadership skills Able to articulate complex data science concepts to both technical and non-technical audiences Banking and/or Financial Services experience. Bonus points: Entries into Kaggle Competitions Creativity, resourcefulness and a collaborative spirit Data at Capco Capco's global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action - designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors and industry bodies. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture through working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers have voted us as the A-Team Best Consultancy in Data Management in consecutive years, valuing our ability to identify and develop top data talent. In addition to this, we have proudly won both the Best Consultancy (2022) in the British Banking Awards and the Best ESG Data & Technology Consultancy as part of the annual ESG Insight Awards. WHY JOIN CAPCO? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clientsand employees Ongoing learning opportunities to help you acquire new skills or deepenexisting expertise A flat, non-hierarchical structure that will enable you to work with senior partnersand directly with clients A diverse, inclusive, meritocratic culture Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
Apr 16, 2024
Full time
Senior Data Scientist Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to . We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how. The solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture. What we're looking for: As part of our on-going global expansion strategy, we are currently hiring Senior Data Scientists as Capco continues to grow it's UK Data Practice in our London office. The Senior Data Scientist should be experienced in using statistical, algorithmic, mining and/or visualisation techniques to address complex business problems. You will be an SME on data science / ML solutions and use case development. The successful candidate will advise the Data Scientists and Engineers on technical requirements around the model design, model architecture, model calibration, solution design, and solutions output In addition to this, they will be expected to leverage their expertise to train and grow Data Scientists at a range of experience levels. Responsibilities Develop prototype and proof of concept solutions making use of cutting-edge AI, machine learning and statistical approaches to solve real-world and business problems Technically lead multiple pods of data science & engineers to develop solutions from a business problem into POCs, MVPs, or fully-fledged solutions while collaborating closely with domain experts. Help transition from development environment to production Act as a subject matter expert in data science and machine learning and coach other data scientists Essential skills Analytics, modelling or software development experience including coding/software development skills. In particular: Hands-on experience in building and implementing data science and machine learning solutions to tackle business problems Comfort with rapid prototyping and disciplined software development processes Experience with Python, ML libraries (e.g. spaCy, NumPy, SciPy, Transformers, etc.)data tools and technologies (Spark, Hadoop, Hive, Redshift, SQL), and toolkits for ML and deep learning (SparkML, Tensorflow, Keras) Demonstrated ability to work on multi-disciplinary teams with diverse skillsets Deploying machine learning models and systems to production (DevOps, MLOps, CI/CD) Experience of working in cloud environments (Azure, GCP, AWS) You are also expected to have: Higher level degree (MsC/PhD) in a numerate discipline. Excellent leadership skills Able to articulate complex data science concepts to both technical and non-technical audiences Banking and/or Financial Services experience. Bonus points: Entries into Kaggle Competitions Creativity, resourcefulness and a collaborative spirit Data at Capco Capco's global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action - designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors and industry bodies. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture through working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers have voted us as the A-Team Best Consultancy in Data Management in consecutive years, valuing our ability to identify and develop top data talent. In addition to this, we have proudly won both the Best Consultancy (2022) in the British Banking Awards and the Best ESG Data & Technology Consultancy as part of the annual ESG Insight Awards. WHY JOIN CAPCO? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clientsand employees Ongoing learning opportunities to help you acquire new skills or deepenexisting expertise A flat, non-hierarchical structure that will enable you to work with senior partnersand directly with clients A diverse, inclusive, meritocratic culture Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement.
GRADUATE/JUNIOR SOFTWARE DEVELOPER - LONDON/REMOTE/HYBRID Graduate Software Developer, Junior Software Developer, Java, C++, C, Python, JavaScript, C#, .Net, SQL, Ruby on Rails, Machine Learning, Data Science, Data Engineering, Agile If you are driven by innovation and want to be at the forefront of ground breaking solutions that shape the future of finance, please read on. Join a team of brilliant Software Engineers, Data Scientists, and R&D Engineers in a collaborative environment to develop cutting-edge software solutions that address the most complex challenges in finance. From advanced algorithmic trading systems and predictive analytics platforms to blockchain-based solutions and decentralized finance (DeFi) applications, they leverage emerging technologies to transform the financial landscape. Agility and adaptability are the keys to success in a rapidly evolving industry. They embrace continuous integration and delivery practices, ensuring that products are always up-to-date and responsive to the ever-changing needs of clients and the market. A highly iterative approach allows them to rapidly prototype, test, and refine solutions. Data is the lifeblood of finance, and they specialize in developing sophisticated data analytics platforms and machine learning models that extract valuable insights from vast volumes of financial data. Their solutions empower businesses and individuals to make informed decisions, optimise operations, and seize new opportunities in the market. Fuelled by a culture of collaboration, innovation, and constant learning, the goal is to foster an environment that encourages team members to think outside the box, challenge conventions, and bring their unique perspectives to the table. They value diversity and believe that the best ideas come from embracing different backgrounds and experiences. You can expect ample opportunities for professional growth and development, empowering you to stay ahead of the curve and make a meaningful impact in the fintech space. Key Responsibilities: Collaborate with cross-functional teams to design, develop, and deliver high-quality software solutions that meet clients' needs. Write efficient, clean, and maintainable code while adhering to best practices and coding standards. Participate in all phases of the software development life cycle, from requirements gathering and analysis to testing, deployment, and maintenance. Identify and troubleshoot issues, debug code, and propose innovative solutions to optimize software performance. Stay up-to-date with the latest industry trends, technologies, and frameworks, and apply this knowledge to enhance our software offerings. Qualifications: Bachelor's, Master's or PhD degree a STEM field from a top 20 ranked University. A-Levels ABB or above Proficiency in multiple programming languages such as Java, Python, C++, or JavaScript. Excellent problem-solving skills and a strong attention to detail. Ability to work collaboratively in a team environment, as well as independently on projects. Effective communication skills to articulate complex ideas and technical concepts to non-technical stakeholders. Desirable: Understanding of software development principles, data structures, algorithms, and design patterns. Why Join Us: Be part of an innovative, forward-thinking company that is at the forefront of cutting-edge technology. Work in a dynamic, collaborative, and inclusive environment where your ideas and contributions are valued. Take on exciting, challenging projects that will stretch your skills and expand your expertise. Access to professional development opportunities to enhance your knowledge and grow your career. Competitive salary and benefits package, including health insurance, retirement plans, and more. Flexible work arrangements to support a healthy work-life balance. If you're ready to embark on an exhilarating journey and make a significant impact in fin-tech, we want to hear from you! Please apply as soon as possible! GRADUATE/JUNIOR SOFTWARE DEVELOPER - LONDON/REMOTE/HYBRID
Apr 16, 2024
Full time
GRADUATE/JUNIOR SOFTWARE DEVELOPER - LONDON/REMOTE/HYBRID Graduate Software Developer, Junior Software Developer, Java, C++, C, Python, JavaScript, C#, .Net, SQL, Ruby on Rails, Machine Learning, Data Science, Data Engineering, Agile If you are driven by innovation and want to be at the forefront of ground breaking solutions that shape the future of finance, please read on. Join a team of brilliant Software Engineers, Data Scientists, and R&D Engineers in a collaborative environment to develop cutting-edge software solutions that address the most complex challenges in finance. From advanced algorithmic trading systems and predictive analytics platforms to blockchain-based solutions and decentralized finance (DeFi) applications, they leverage emerging technologies to transform the financial landscape. Agility and adaptability are the keys to success in a rapidly evolving industry. They embrace continuous integration and delivery practices, ensuring that products are always up-to-date and responsive to the ever-changing needs of clients and the market. A highly iterative approach allows them to rapidly prototype, test, and refine solutions. Data is the lifeblood of finance, and they specialize in developing sophisticated data analytics platforms and machine learning models that extract valuable insights from vast volumes of financial data. Their solutions empower businesses and individuals to make informed decisions, optimise operations, and seize new opportunities in the market. Fuelled by a culture of collaboration, innovation, and constant learning, the goal is to foster an environment that encourages team members to think outside the box, challenge conventions, and bring their unique perspectives to the table. They value diversity and believe that the best ideas come from embracing different backgrounds and experiences. You can expect ample opportunities for professional growth and development, empowering you to stay ahead of the curve and make a meaningful impact in the fintech space. Key Responsibilities: Collaborate with cross-functional teams to design, develop, and deliver high-quality software solutions that meet clients' needs. Write efficient, clean, and maintainable code while adhering to best practices and coding standards. Participate in all phases of the software development life cycle, from requirements gathering and analysis to testing, deployment, and maintenance. Identify and troubleshoot issues, debug code, and propose innovative solutions to optimize software performance. Stay up-to-date with the latest industry trends, technologies, and frameworks, and apply this knowledge to enhance our software offerings. Qualifications: Bachelor's, Master's or PhD degree a STEM field from a top 20 ranked University. A-Levels ABB or above Proficiency in multiple programming languages such as Java, Python, C++, or JavaScript. Excellent problem-solving skills and a strong attention to detail. Ability to work collaboratively in a team environment, as well as independently on projects. Effective communication skills to articulate complex ideas and technical concepts to non-technical stakeholders. Desirable: Understanding of software development principles, data structures, algorithms, and design patterns. Why Join Us: Be part of an innovative, forward-thinking company that is at the forefront of cutting-edge technology. Work in a dynamic, collaborative, and inclusive environment where your ideas and contributions are valued. Take on exciting, challenging projects that will stretch your skills and expand your expertise. Access to professional development opportunities to enhance your knowledge and grow your career. Competitive salary and benefits package, including health insurance, retirement plans, and more. Flexible work arrangements to support a healthy work-life balance. If you're ready to embark on an exhilarating journey and make a significant impact in fin-tech, we want to hear from you! Please apply as soon as possible! GRADUATE/JUNIOR SOFTWARE DEVELOPER - LONDON/REMOTE/HYBRID
Job title: Software Engineer Intern (12 months) - Starting Summer 2024 Location: Cambridge, UK SLB Cambridge Research (SCR) is part of SLB's global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry About SLB: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that's been our mission for 100 years. We are facing the world's greatest balancing act- how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet. Description and Scope: Prototyping the digital platform for the future of the company, we have an opportunity to join Schlumberger Cambridge Research on an internship. You will be part of a multi-disciplinary team in the Digital Systems Research department which comprises the Data & Domain (D&D) program and the Automation & Planning (A&P) programme. In A&P we are developing the future machine reasoning infrastructure. This system assists decision-making, offering explanations (XAI) for its recommendations via a proprietary semantic web ontology. Additionally, we create state-of-the-art solvers for AI Planning and Scheduling; the resulting plans are interwoven by the ontology with the vision of a truly integrated digital infrastructure. These are extensive multi-year research efforts, you will be guided and supported throughout, and success is not measured by completion of a pre-specified list of tasks. The specialism of the group is in the development of the algorithms and the role of the internship is to provide software development support and expertise around the front-end and also the backend integration between algorithms and data stores, so this role suits an open-minded self-starter. Your work will involve programming in Python and potentially also in SQL, Java and C++ and the ontology structural approaches like SHACL. Other programming languages and frameworks may also be required, and training resources and time will be provided. Deliverables Interns will be mentored and responsible for developing aspects of the SLB digital solutions from the cloud and web-based applications to data analytics. Interns will experience the development of prototype solutions and the interaction scientists, domain experts and end-users to assist in the testing of the prototypes. Develop software that integrates with a variety of real-world business systems Support scientists on software development for user-ready prototypes, data analysis, user interfaces Present demos to visitors and internal stakeholders, acquire and apply software development skills in a supportive environment of continuous learning Required Skills & Qualifications Penultimate or Final year BSc / Masters student in Computer Science or a related discipline Passionate interest in programming Willingness to learn. Good communication skills Exposure to any of the following would be a plus, however demonstrating an ability to learn is more important than specific existing skills: Scripting (Python, Shell), C++, C#, Java, JavaScript System design, including producing UML diagrams. Development of Web Applications Source code control such as Git Systems integration, databases, SQL Semantic web, SPARQL AI Planning, PDDL BlueFlex: We are open to flexible, hybrid working with a combination of on-site & home working days. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.
Apr 15, 2024
Full time
Job title: Software Engineer Intern (12 months) - Starting Summer 2024 Location: Cambridge, UK SLB Cambridge Research (SCR) is part of SLB's global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry About SLB: We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. That is our purpose. As innovators, that's been our mission for 100 years. We are facing the world's greatest balancing act- how to simultaneously reduce emissions and meet the world's growing energy demands. We're working on that answer. Every day, a step closer. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It's what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet. Description and Scope: Prototyping the digital platform for the future of the company, we have an opportunity to join Schlumberger Cambridge Research on an internship. You will be part of a multi-disciplinary team in the Digital Systems Research department which comprises the Data & Domain (D&D) program and the Automation & Planning (A&P) programme. In A&P we are developing the future machine reasoning infrastructure. This system assists decision-making, offering explanations (XAI) for its recommendations via a proprietary semantic web ontology. Additionally, we create state-of-the-art solvers for AI Planning and Scheduling; the resulting plans are interwoven by the ontology with the vision of a truly integrated digital infrastructure. These are extensive multi-year research efforts, you will be guided and supported throughout, and success is not measured by completion of a pre-specified list of tasks. The specialism of the group is in the development of the algorithms and the role of the internship is to provide software development support and expertise around the front-end and also the backend integration between algorithms and data stores, so this role suits an open-minded self-starter. Your work will involve programming in Python and potentially also in SQL, Java and C++ and the ontology structural approaches like SHACL. Other programming languages and frameworks may also be required, and training resources and time will be provided. Deliverables Interns will be mentored and responsible for developing aspects of the SLB digital solutions from the cloud and web-based applications to data analytics. Interns will experience the development of prototype solutions and the interaction scientists, domain experts and end-users to assist in the testing of the prototypes. Develop software that integrates with a variety of real-world business systems Support scientists on software development for user-ready prototypes, data analysis, user interfaces Present demos to visitors and internal stakeholders, acquire and apply software development skills in a supportive environment of continuous learning Required Skills & Qualifications Penultimate or Final year BSc / Masters student in Computer Science or a related discipline Passionate interest in programming Willingness to learn. Good communication skills Exposure to any of the following would be a plus, however demonstrating an ability to learn is more important than specific existing skills: Scripting (Python, Shell), C++, C#, Java, JavaScript System design, including producing UML diagrams. Development of Web Applications Source code control such as Git Systems integration, databases, SQL Semantic web, SPARQL AI Planning, PDDL BlueFlex: We are open to flexible, hybrid working with a combination of on-site & home working days. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.
Data Engineer Role purpose: The Data Engineer position is an integral part of the Data team within the Digital and Information function. This role entails overseeing the availability, integrity, quality, and accuracy of data. The primary responsibilities include designing, developing, and maintaining data pipelines and workflows to support the organisation's data processing needs and facilitate BI reporting and analytics delivery. The Data Engineer will contribute to enhancing our Azure-based data platform using technologies such as Azure Data Factory and Azure Databricks and will have the opportunity to work on exciting digital transformation projects. Operating within Agile principles and methodologies, the Data Engineer collaborates with other data engineers and key stakeholders to shape and manage the portfolio of reporting and data requirements. Working alongside peers, this role contributes to refining the overall data strategy. Key Responsibilities: Design, develop, and maintain scalable data pipelines and workflows using Azure Data Factory and Databricks. Perform data transformation and integration tasks to consolidate and enrich data from various sources into a unified format, whilst also ensuring data governance and compliance by design Implement data quality checks and validation processes to ensure accuracy, completeness, and consistency of data. Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand data requirements, perform UAT and deliver solutions accordingly. Monitor pipeline performance and troubleshoot issues promptly to ensure uninterrupted data processing. Document data pipelines, workflows, and processes to ensure knowledge sharing and maintainability. Ensures the effective & timely management and closure of 2nd line data and reporting support requests, through the appropriate ticketing systems, to minimise impact on the operations of the wider business. Actively participate in daily stand ups, weekly stakeholder meetings, retrospectives. Technical / Professional Qualifications / Requirements: Hands-on Experience with Azure Data Factory: Proven experience in designing, developing, and managing data pipelines using Azure Data Factory. Good knowledge of Databricks for data processing and analytics Experience with data modelling techniques and data warehousing concepts. Proficiency in SQL for data querying and manipulation. Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities, following the Agile way of working Problem-solving Skills: Ability to analyse complex data problems and propose effective solutions. Communication and Collaboration: Good communication skills with the ability to collaborate effectively with cross-functional teams. Experience with Python is highly desirable
Apr 15, 2024
Full time
Data Engineer Role purpose: The Data Engineer position is an integral part of the Data team within the Digital and Information function. This role entails overseeing the availability, integrity, quality, and accuracy of data. The primary responsibilities include designing, developing, and maintaining data pipelines and workflows to support the organisation's data processing needs and facilitate BI reporting and analytics delivery. The Data Engineer will contribute to enhancing our Azure-based data platform using technologies such as Azure Data Factory and Azure Databricks and will have the opportunity to work on exciting digital transformation projects. Operating within Agile principles and methodologies, the Data Engineer collaborates with other data engineers and key stakeholders to shape and manage the portfolio of reporting and data requirements. Working alongside peers, this role contributes to refining the overall data strategy. Key Responsibilities: Design, develop, and maintain scalable data pipelines and workflows using Azure Data Factory and Databricks. Perform data transformation and integration tasks to consolidate and enrich data from various sources into a unified format, whilst also ensuring data governance and compliance by design Implement data quality checks and validation processes to ensure accuracy, completeness, and consistency of data. Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand data requirements, perform UAT and deliver solutions accordingly. Monitor pipeline performance and troubleshoot issues promptly to ensure uninterrupted data processing. Document data pipelines, workflows, and processes to ensure knowledge sharing and maintainability. Ensures the effective & timely management and closure of 2nd line data and reporting support requests, through the appropriate ticketing systems, to minimise impact on the operations of the wider business. Actively participate in daily stand ups, weekly stakeholder meetings, retrospectives. Technical / Professional Qualifications / Requirements: Hands-on Experience with Azure Data Factory: Proven experience in designing, developing, and managing data pipelines using Azure Data Factory. Good knowledge of Databricks for data processing and analytics Experience with data modelling techniques and data warehousing concepts. Proficiency in SQL for data querying and manipulation. Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities, following the Agile way of working Problem-solving Skills: Ability to analyse complex data problems and propose effective solutions. Communication and Collaboration: Good communication skills with the ability to collaborate effectively with cross-functional teams. Experience with Python is highly desirable
Senior Data Engineer Role purpose: The Senior Data Engineer plays a pivotal role within the Data team of the Digital and Information function, assuming a leadership position in ensuring the availability, integrity, quality, and accuracy of data. With a wealth of experience, the Senior Data Engineer leads the design, development, and maintenance of data pipelines and workflows, driving the organisation's data processing capabilities and enabling the seamless delivery of BI reporting and analytics. In addition to core responsibilities, the Senior Data Engineer takes a proactive role in advancing our Azure-based data platform, leveraging cutting-edge technologies like Azure Data Factory and Azure Databricks. This role presents exciting opportunities to spearhead digital transformation projects and innovate within the data landscape. Operating within Agile principles and methodologies, the Senior Data Engineer collaborates closely with fellow data engineers and key stakeholders, assuming a leading role in shaping and managing the portfolio of reporting and data requirements. Leveraging their extensive expertise, the Senior Data Engineer contributes significantly to refining the overall data strategy, ensuring alignment with organisational objectives and driving continuous improvement initiatives. Key Responsibilities: Ownership and delivery of the design, development and maintenance of highly scalable and robust data pipelines and workflows utilising Azure Data Factory and Databricks. Lead data transformation and integration efforts to augment data from diverse sources, ensuring data governance and regulatory compliance throughout the process. Establish and enforce data quality standards through the implementation of rigorous data validation processes, ensuring the utmost accuracy, completeness, and consistency of the data ecosystem. Serve as a key liaison between cross-functional teams, including data scientists, analysts, and business stakeholders, to comprehensively understand data requirements, conduct User Acceptance Testing (UAT), and deliver tailored solutions that align with business objectives. Proactively monitor pipeline performance, swiftly identifying and resolving any potential issues to uphold seamless data processing operations and minimize downtime. Drive comprehensive documentation of data pipelines, workflows, and procedures to foster knowledge sharing and ensure ongoing system maintainability and scalability. Demonstrate proficiency in managing and resolving 2nd line data and reporting support requests through designated ticketing systems, mitigating disruptions to business operations with timely and effective resolutions. Actively engage in daily stand-ups, weekly stakeholder meetings, and retrospectives, providing valuable insights and contributing to continuous improvement initiatives across the team and broader organization. Technical / Professional Qualifications / Requirements: Hands-on advanced experience in designing, developing, and managing data pipelines using Azure Data Factory. Strong working knowledge of Databricks for data processing, analytics and Machine learning. Advanced experience with data modelling techniques and data warehousing concepts. Advanced proficiency in SQL for data querying and manipulation and good knowledge of Python. Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities, following the Agile way of working Ability to lead and analyse complex data problems and propose effective solutions. Excellent communication skills with the ability to collaborate effectively with cross-functional teams. Benefits Include: 25 days AL plus bank holidays 1 Wellbeing day Private Medical Pension - 8% matched pension Life Assurance x4 basic salary Income protection Dental plan - voluntary benefit
Apr 15, 2024
Full time
Senior Data Engineer Role purpose: The Senior Data Engineer plays a pivotal role within the Data team of the Digital and Information function, assuming a leadership position in ensuring the availability, integrity, quality, and accuracy of data. With a wealth of experience, the Senior Data Engineer leads the design, development, and maintenance of data pipelines and workflows, driving the organisation's data processing capabilities and enabling the seamless delivery of BI reporting and analytics. In addition to core responsibilities, the Senior Data Engineer takes a proactive role in advancing our Azure-based data platform, leveraging cutting-edge technologies like Azure Data Factory and Azure Databricks. This role presents exciting opportunities to spearhead digital transformation projects and innovate within the data landscape. Operating within Agile principles and methodologies, the Senior Data Engineer collaborates closely with fellow data engineers and key stakeholders, assuming a leading role in shaping and managing the portfolio of reporting and data requirements. Leveraging their extensive expertise, the Senior Data Engineer contributes significantly to refining the overall data strategy, ensuring alignment with organisational objectives and driving continuous improvement initiatives. Key Responsibilities: Ownership and delivery of the design, development and maintenance of highly scalable and robust data pipelines and workflows utilising Azure Data Factory and Databricks. Lead data transformation and integration efforts to augment data from diverse sources, ensuring data governance and regulatory compliance throughout the process. Establish and enforce data quality standards through the implementation of rigorous data validation processes, ensuring the utmost accuracy, completeness, and consistency of the data ecosystem. Serve as a key liaison between cross-functional teams, including data scientists, analysts, and business stakeholders, to comprehensively understand data requirements, conduct User Acceptance Testing (UAT), and deliver tailored solutions that align with business objectives. Proactively monitor pipeline performance, swiftly identifying and resolving any potential issues to uphold seamless data processing operations and minimize downtime. Drive comprehensive documentation of data pipelines, workflows, and procedures to foster knowledge sharing and ensure ongoing system maintainability and scalability. Demonstrate proficiency in managing and resolving 2nd line data and reporting support requests through designated ticketing systems, mitigating disruptions to business operations with timely and effective resolutions. Actively engage in daily stand-ups, weekly stakeholder meetings, and retrospectives, providing valuable insights and contributing to continuous improvement initiatives across the team and broader organization. Technical / Professional Qualifications / Requirements: Hands-on advanced experience in designing, developing, and managing data pipelines using Azure Data Factory. Strong working knowledge of Databricks for data processing, analytics and Machine learning. Advanced experience with data modelling techniques and data warehousing concepts. Advanced proficiency in SQL for data querying and manipulation and good knowledge of Python. Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities, following the Agile way of working Ability to lead and analyse complex data problems and propose effective solutions. Excellent communication skills with the ability to collaborate effectively with cross-functional teams. Benefits Include: 25 days AL plus bank holidays 1 Wellbeing day Private Medical Pension - 8% matched pension Life Assurance x4 basic salary Income protection Dental plan - voluntary benefit
Data Scientist - Innovation focused: Location: London, UK. Work type: Remote first approach (circa 1 day per week). Job type: Permanent. Salary: Circa £65k (neg on exp) + package. Company and role for Data Scientist: Our client is a global leading marketing organisation who are at the forefront of innovation. They are dedicated to pioneering solutions that redefine industry standard. We are currently helping them to hire a dynamic Data Scientist to elevate their London-based team. Our client thrives on pushing boundaries and exploring cutting-edge technologies to address complex data challenges. As part of their Data Science team, you'll have the opportunity to use your creativity and intellect, contributing to the development of groundbreaking products that revolutionise their offerings. As a Data Scientist, you'll embark on a journey of discovery, leveraging your expertise to develop end-to-end solutions. Their recent projects showcase the caliber of innovation they pursue, from fine-tuned RAG models, for client-facing Chatbots to hybrid forecasting systems capturing advertising trends with unprecedented accuracy. Join them in crafting personalized content recommendations and revolutionising user experiences in real-time. Key Responsibilities for Data Scientist: closely with stakeholders to translate requirements into actionable insights, partnering with key figures such as the Head od Data Science, Director of Product Management, and the CTO. to cloud-based development and version control repositories. data transformation and insights generation through scalable SQL queries. QA to uphold data and model accuracy. annotation, wrangling, and implementation of machine learning classifiers. Experience for Data Scientist: Essential: Degree educated. 2+ years of experience in software engineering, with a proven track record of delivering reproducible data science outputs. Advanced proficiency in Python, coupled with a knack for creating impactful machine learning models. Strong exp in relational databases (e.g., SQL Server, Postgres, MySQL) and analytics. Experience with cloud computing platforms (preferably AWS), driving scalable solutions. Visualisation tools such as Looker, Data Studio, or Tableau (being a plus). Highly Desirable: Some areas of interest that our client would ideally likely to see experience of: NLP. Personalisation. customer based models - churn/lifetime value. Chatbots/LLMs. Degree in a quantitative field is advantageous but not essential.
Apr 15, 2024
Full time
Data Scientist - Innovation focused: Location: London, UK. Work type: Remote first approach (circa 1 day per week). Job type: Permanent. Salary: Circa £65k (neg on exp) + package. Company and role for Data Scientist: Our client is a global leading marketing organisation who are at the forefront of innovation. They are dedicated to pioneering solutions that redefine industry standard. We are currently helping them to hire a dynamic Data Scientist to elevate their London-based team. Our client thrives on pushing boundaries and exploring cutting-edge technologies to address complex data challenges. As part of their Data Science team, you'll have the opportunity to use your creativity and intellect, contributing to the development of groundbreaking products that revolutionise their offerings. As a Data Scientist, you'll embark on a journey of discovery, leveraging your expertise to develop end-to-end solutions. Their recent projects showcase the caliber of innovation they pursue, from fine-tuned RAG models, for client-facing Chatbots to hybrid forecasting systems capturing advertising trends with unprecedented accuracy. Join them in crafting personalized content recommendations and revolutionising user experiences in real-time. Key Responsibilities for Data Scientist: closely with stakeholders to translate requirements into actionable insights, partnering with key figures such as the Head od Data Science, Director of Product Management, and the CTO. to cloud-based development and version control repositories. data transformation and insights generation through scalable SQL queries. QA to uphold data and model accuracy. annotation, wrangling, and implementation of machine learning classifiers. Experience for Data Scientist: Essential: Degree educated. 2+ years of experience in software engineering, with a proven track record of delivering reproducible data science outputs. Advanced proficiency in Python, coupled with a knack for creating impactful machine learning models. Strong exp in relational databases (e.g., SQL Server, Postgres, MySQL) and analytics. Experience with cloud computing platforms (preferably AWS), driving scalable solutions. Visualisation tools such as Looker, Data Studio, or Tableau (being a plus). Highly Desirable: Some areas of interest that our client would ideally likely to see experience of: NLP. Personalisation. customer based models - churn/lifetime value. Chatbots/LLMs. Degree in a quantitative field is advantageous but not essential.
Software Engineer (Python), Didcot, £40,000 - £45,000Our client are a very exciting and pioneering engineering business, that are designing and developing world leading detection and monitoring devices. The responsibilities for the Software Engineer: Your role will be to create, develop and maintain the software running both on the instrumentation and on the Cloud analytics servers. You will be working with a team of Data Scientists to integrate advanced modelling solutions, along with streamlining and optimising sensor deployment processes. You will work with the operations team to control, monitor and diagnose instruments deployed to clients and with engineers to continually enhance and improve the products. About You You're a smart, enthusiastic professional developer with a background in commercial Python. You relish solving difficult problems and are confident working in complex real-time, threaded environments. A methodical thinker, you naturally collaborate to find the best innovative solutions validate them and present them to the team.Essential skills: 2 years commercial Python experience on Linux Experience with a variety of Python packages Familiarity with software process - coding standards, unit tests and source control Excellent communication, collaboration and team skills Desirable skills: Knowledge and experience with ZeroMQ Experience with Agile teams and processes Knowledge of Python visualisation libraries - Bokeh, Holoviews Experience with state machines - Transitions Knowledge of Python data libraries - Numpy, Pandas SQL, Postgres and psycopg2 DevOps experience with Azure Demonstrable experience across the full development lifecycle Containerisation - Docker C and C++ on Linux An academic background in scientific or applied computing MARS Recruitment is an equal opportunities employer and positively welcomes applications from suitably qualified applicants regardless of race, colour, sex, marital status, national origin, religion, age, disability, or any other protected status. Suitable candidates for the role will be contacted within 3 working days, unfortunately if you haven't heard back in this time your application has been unsuccessful at this time.MARS Recruitment is a specialist Engineering & IT recruiter working in partnership with companies across the UK and offers services of both an Employment Business (for Temporary/Contract roles) and an Employment Agency (for Permanent roles).
Apr 15, 2024
Full time
Software Engineer (Python), Didcot, £40,000 - £45,000Our client are a very exciting and pioneering engineering business, that are designing and developing world leading detection and monitoring devices. The responsibilities for the Software Engineer: Your role will be to create, develop and maintain the software running both on the instrumentation and on the Cloud analytics servers. You will be working with a team of Data Scientists to integrate advanced modelling solutions, along with streamlining and optimising sensor deployment processes. You will work with the operations team to control, monitor and diagnose instruments deployed to clients and with engineers to continually enhance and improve the products. About You You're a smart, enthusiastic professional developer with a background in commercial Python. You relish solving difficult problems and are confident working in complex real-time, threaded environments. A methodical thinker, you naturally collaborate to find the best innovative solutions validate them and present them to the team.Essential skills: 2 years commercial Python experience on Linux Experience with a variety of Python packages Familiarity with software process - coding standards, unit tests and source control Excellent communication, collaboration and team skills Desirable skills: Knowledge and experience with ZeroMQ Experience with Agile teams and processes Knowledge of Python visualisation libraries - Bokeh, Holoviews Experience with state machines - Transitions Knowledge of Python data libraries - Numpy, Pandas SQL, Postgres and psycopg2 DevOps experience with Azure Demonstrable experience across the full development lifecycle Containerisation - Docker C and C++ on Linux An academic background in scientific or applied computing MARS Recruitment is an equal opportunities employer and positively welcomes applications from suitably qualified applicants regardless of race, colour, sex, marital status, national origin, religion, age, disability, or any other protected status. Suitable candidates for the role will be contacted within 3 working days, unfortunately if you haven't heard back in this time your application has been unsuccessful at this time.MARS Recruitment is a specialist Engineering & IT recruiter working in partnership with companies across the UK and offers services of both an Employment Business (for Temporary/Contract roles) and an Employment Agency (for Permanent roles).