22 jobs found

Senior Data Science Manager x2 (within Applied Sciences & Retail Transformation) London or Bristol (central) Lloyds Banking Group Salary & Benefits: £60,600 to £94,600 base salary (Depending on location), plus annual personal bonus, 15% employer pension contribution (when you put in 6%), 4% flexible cash pot, private medical insurance, 30 days holiday plus bank holidays. We also offer flexible working hours, agile working practices and regular home working. Working for Lloyds is great! Who are Lloyds Banking Group? Lloyds Banking Group is the UK's leading bank with over 30m customers and its biggest digital bank, with over 13 million active online customers. We've placed an ambitious transformation programme and a multi-channel approach to banking at the heart of our strategy to be the best bank for customers, backed by significant investment in our platforms and people. Why join the Data Science Team? You'll work on a wide range of interesting projects with no shortage of work! We take ideas from the concept stage and work with our customers to understand how data science and machine learning can be applied. You'll play a pivotal role in the development of solutions for a wide range of business areas. You'll help rapidly transform our capabilities and be a key player in our further digitisation using latest emerging technologies and services. What will I do as a Senior Manager within Data Science? You'll focus on leading a multi-disciplinary team of 5 - 12 people to delivery and continuously improve data science initiatives. You will also get the opportunity to remain hands on, as much as you feel suitable. You'll lead all stages of a project from working with the users to explore the problem statement, exploring our data assets, experimenting with different modelling approaches and developing systems powered by Machine Learning all within an iterative and Agile environment. Support the team to develop experimental models and Machine Learning systems alongside our Data Engineers (who build the data pipelines and ensure quality) and in close collaboration with our users and business SMEs. Your data science solutions will have a material impact on the lives of up to 30m+ customers across the whole of the UK - and together we'll make it possible … Are you who we're looking for? We're keen to speak to experienced managers who have relevant experience and are interested in those from diverse industry/field backgrounds. As a minimum to be considered we will be looking for; Experience implementing and supporting Machine Learning systems including automating data validation, model training, model validation and model monitoring. Experience managing data science teams. Coaching, mentoring and developing. From a technical perspective we'll need you to have hands on experience of a relevant software engineering practices, the full software development lifecycle within an Agile Data Science function, ideally including data science best practice. Technically, we'll want you to demonstrate knowledge of software engineering best practice and advanced statistical techniques, for example; Python, pandas, functional programming and databases systems are of interest. Additionally experience of working in a DevOps / CICD environment and making extensive use of automation would be what we would like to see. A good theoretical and applied knowledge of Statistical Modelling and/or Machine Learning techniques such as some (not all!) of the following: regression, clustering, attribution (econometrics / MMM), decision trees (CHAID, random forest, XGBoost), significance testing, machine learning (classification and regression models, Keras, Tensorflow). A pragmatic, "keep it simple" attitude to your work and designs. A strong communicator, as we have a lot of involvement with our customers who are both technical and non-technical. This would be a great role if: You have a genuine interest in Data Science. You want to contribute towards senior leadership forums within data science. You are customer focused and want to continuously improve our systems. And how will we challenge you? You'll have the opportunity to partner across our various businesses to understand and work their complex problems through to solutions. We are really lucky to have a continuous and interesting supply of work. You'll get exposure to a host of wider technologies and career moves by broadening your horizons and giving you opportunities to stretch yourself. You'll work with some of the best Data Science developers in the bank as we look to build a thriving data science community, whether through opportunities to share knowledge through self-starting guilds or coaching. What you'd get in return: Offering you both funding and profile - we'll provide you with a diverse, energising and informal environment that focuses on equal opportunity and real career progression. We'll take your personal and professional development very seriously and enable you to make a difference to millions throughout your career with us. Together we'll make it possible… Interested but have a questions before you apply? Not sure if the role or culture at Lloyds is right for you? Feel free to reach out to me via Linked In using this link: or via internal e-mail, with any questions and I'll be happy to help.

Eurosport Digital is Discovery's primary drive into the Direct to Consumer business in Europe. It currently comprises two parts; Eurosport.com - the continent's number one sports news website - and Eurosport Player, a leading subscription-based OTT sports platform available across Europe. The business is in a period of high growth, fueled by investment in rights, marketing, product and content. Job Summary We are looking for top Engineering talent, whose deep technical expertise and problem-solving skills are matched only by their passion for design and user experience. Our team is responsible for building the experimentation and analytics platform for Discovery's global digital platform. If you delight in data science and using the latest in Ai/ML to help use data to make and drive decisions for millions of customers across web, mobile and connected devices, then this is the role for you. As television and media habits change, our mission remains true to the principles that founded Discovery - every day we seek to ignite people's curiosity to engage, entertain and enlighten the world around them through amazing viewing experiences. The Direct 2 Consumer Group is a technology company within the Discovery brand. We are building a global streaming video platform (OTT), and a suite of applications to support all of our network's brands globally. We are building modern container-based micro-services operated on AWS. Our platform covers everything from search, catalog video transcoding, personalization, to global subscriptions, and much more. We build user experiences ranging from classic lean-back viewing to interactive learning applications. We build for connected TVs, web, mobile phones, tablets, and consoles for a large footprint of Discovery-owned networks including Discovery, Food Network, Golf TV, MotorTrend, Eurosport, and Discovery Play. We are hiring Software Development Engineers to join our Labs team in London. The successful candidates will have a track record of building multiple, high-performance, stable, scalable systems that have been successfully shipped to customers in production. Your approach and work will be exemplary, and you will have a proven background in driving best practices and setting standards for your team. You are a key influencer in your team's strategy and contribute significantly to team planning. You show good judgment making trade-offs between immediate and long-term business needs. You are a collaborative leader who encourages fellow Engineers and other team members to be more productive, by sharing your knowledge and helping to tie-break key technical decisions. You provide mentoring to other Engineers. Key Skills ● Expert in Golang & Python ● Proficient in Typescript ● Working knowledge of the following Python Libraries: NumPy, SciPy, Scikit Learn, Pandas, Matplotlib, Plotly, Bokeh & the Go Lang equivalents. (Go Num) ● Expert in SQL, NoSQL & TimeSeries Databases ● Expert in event-driven systems, data pipelines & Asynchronous code. ● Expert with Docker and containers ● Experience of working with Kubernetes (K8) ● Experience in working with Kafka and streaming architectures. ● Experience of working with Istio Service Mesh with Kubernetes. ● Experience of working with Grafana and Prometheus. ● Expert knowledge of cloud security (AWS), secret management, and API security. ● Knowledge of, and professional experience with most of the AWS services, and deeper knowledge of API Gateway, Cognito, EKS, MSK, EC2, S3, Kinesis, DynamoDB, CloudFront, Redshift, EMR, and CloudWatch. ● Experience with Adobe Analytics & Attribution is a plus. ● Experience with data warehousing solutions and techniques. Key Respinsibilities ● You work autonomously to design and develop functional changes to existing software systems ● You require little or no guidance from team members. You still actively seek input where appropriate and engage your team to inform and share what you are doing ● You can collaborate with other engineers assisting on features another engineer designed or taking the lead on feature design yourself ● Your software contributions are demonstrated to work in production, and your team trusts your decisions, designs, and code ● You consistently demonstrated good software ownership practices (e.g. code reviews, code comments, etc) in all of your contributions ● Your code reviews are uneventful, you prepare documentation proactively, and you ensure proper monitoring for operational excellence in production ● You offer enhancements to best practices, document, design, and architecture improvements, and as feedback through code reviews to other engineers without continuous prompting or recurring encouragement. Other engineers appreciate your feedback ● You can troubleshoot a production issue by reviewing source code, logs, operational metrics, and stack trace to pinpoint a specific problem and then resolve it. ● Demonstrated ability to work across product, engineering, and analytics teams to evaluate new ideas, discuss technical concepts, create scalable designs, and make tradeoffs to remove roadblocks. ● Strong written and verbal communication skills. Can communicate the results of your work clearly to your audience. ● A Master's degree in a quantitative or technical field (engineering, statistics, computer sciences, etc.) is a plus. Desirable ● Good working experience and understanding of Data Governance and Compliance (ISO* + GDPR + ePR +PII) ● Experience with search engine technology (preferably ElasticSearch) ● Experience working in the field of data science. ● Experience with Exploit vs Explore problem scopes ● Experience with Contextual Multi-arm bandits and bandit algorithms. ● Experience of Thompson Sampling. ● Experience of working with machine & reinforcement learning techniques including decision making & recommendation models. ● Working with large data sets and creating performant search queries

Eurosport Digital is Discovery's primary drive into the Direct to Consumer business in Europe. It currently comprises two parts; Eurosport.com - the continent's number one sports news website - and Eurosport Player, a leading subscription-based OTT sports platform available across Europe. The business is in a period of high growth, fueled by investment in rights, marketing, product and content. Job Summary We are looking for top Engineering talent, whose deep technical expertise and problem-solving skills are matched only by their passion for design and user experience. Our team is responsible for building the experimentation and analytics platform for Discovery's global digital platform. If you delight in data science and using the latest in Ai/ML to help use data to make and drive decisions for millions of customers across web, mobile and connected devices, then this is the role for you. As television and media habits change, our mission remains true to the principles that founded Discovery - every day we seek to ignite people's curiosity to engage, entertain and enlighten the world around them through amazing viewing experiences. The Direct 2 Consumer Group is a technology company within the Discovery brand. We are building a global streaming video platform (OTT), and a suite of applications to support all of our network's brands globally. We are building modern container-based micro-services operated on AWS. Our platform covers everything from search, catalog video transcoding, personalization, to global subscriptions, and much more. We build user experiences ranging from classic lean-back viewing to interactive learning applications. We build for connected TVs, web, mobile phones, tablets, and consoles for a large footprint of Discovery-owned networks including Discovery, Food Network, Golf TV, MotorTrend, Eurosport, and Discovery Play. We are hiring Software Development Engineers to join our Labs team in London. The successful candidates will have a track record of building multiple, high-performance, stable, scalable systems that have been successfully shipped to customers in production. Your approach and work will be exemplary, and you will have a proven background in driving best practices and setting standards for your team. You are a key influencer in your team's strategy and contribute significantly to team planning. You show good judgment making trade-offs between immediate and long-term business needs. You are a collaborative leader who encourages fellow Engineers and other team members to be more productive, by sharing your knowledge and helping to tie-break key technical decisions. You provide mentoring to other Engineers. Key Skills ● Expert in Golang & Python ● Proficient in Typescript ● Working knowledge of the following Python Libraries: NumPy, SciPy, Scikit Learn, Pandas, Matplotlib, Plotly, Bokeh & the Go Lang equivalents. (Go Num) ● Expert in SQL, NoSQL & TimeSeries Databases ● Expert in event-driven systems, data pipelines & Asynchronous code. ● Expert with Docker and containers ● Experience of working with Kubernetes (K8) ● Experience in working with Kafka and streaming architectures. ● Experience of working with Istio Service Mesh with Kubernetes. ● Experience of working with Grafana and Prometheus. ● Expert knowledge of cloud security (AWS), secret management, and API security. ● Knowledge of, and professional experience with most of the AWS services, and deeper knowledge of API Gateway, Cognito, EKS, MSK, EC2, S3, Kinesis, DynamoDB, CloudFront, Redshift, EMR, and CloudWatch. ● Experience with Adobe Analytics & Attribution is a plus. ● Experience with data warehousing solutions and techniques. Key Respinsibilities ● You work autonomously to design and develop functional changes to existing software systems ● You require little or no guidance from team members. You still actively seek input where appropriate and engage your team to inform and share what you are doing ● You can collaborate with other engineers assisting on features another engineer designed or taking the lead on feature design yourself ● Your software contributions are demonstrated to work in production, and your team trusts your decisions, designs, and code ● You consistently demonstrated good software ownership practices (e.g. code reviews, code comments, etc) in all of your contributions ● Your code reviews are uneventful, you prepare documentation proactively, and you ensure proper monitoring for operational excellence in production ● You offer enhancements to best practices, document, design, and architecture improvements, and as feedback through code reviews to other engineers without continuous prompting or recurring encouragement. Other engineers appreciate your feedback ● You can troubleshoot a production issue by reviewing source code, logs, operational metrics, and stack trace to pinpoint a specific problem and then resolve it. ● Demonstrated ability to work across product, engineering, and analytics teams to evaluate new ideas, discuss technical concepts, create scalable designs, and make tradeoffs to remove roadblocks. ● Strong written and verbal communication skills. Can communicate the results of your work clearly to your audience. ● A Master's degree in a quantitative or technical field (engineering, statistics, computer sciences, etc.) is a plus. Desirable ● Good working experience and understanding of Data Governance and Compliance (ISO* + GDPR + ePR +PII) ● Experience with search engine technology (preferably ElasticSearch) ● Experience working in the field of data science. ● Experience with Exploit vs Explore problem scopes ● Experience with Contextual Multi-arm bandits and bandit algorithms. ● Experience of Thompson Sampling. ● Experience of working with machine & reinforcement learning techniques including decision making & recommendation models. ● Working with large data sets and creating performant search queries.

Senior Data Science Engineer (x3 positions) Lloyds Banking Group Bristol or London Salary & Benefits: £54,342 to £70,600 base salary, plus annual personal bonus, 15% employer pension contribution (when you put in 6%), 4% flexible cash pot, private medical insurance, 30 days holiday plus bank holidays. We also offer flexible working hours, agile working practices and regular home working. Working for Lloyds is great! Who are Lloyds Banking Group? Lloyds Banking Group is the UK's leading bank with over 30m customers and its biggest digital bank, with over 13 million active online customers. We've placed an ambitious transformation programme and a multi-channel approach to banking at the heart of our strategy to be the best bank for customers, backed by significant investment in our platforms and people. Why join the Chief Data Office Data Science Team? You'll work on a wide range of interesting projects with no shortage of work! We take ideas from the concept stage and work with our customers to understand how data science and machine learning can be applied. You'll play a pivotal role in realising our digital and data potential and creating the Bank of the Future. You'll help rapidly transform our capabilities and be a key player in our further digitisation using latest emerging technologies and services. What will I do as a Data Science Engineer within the Chief Data Office? You will develop Machine Learning systems in Python alongside our Data Engineers (who build the data pipelines and ensure quality) and in close collaboration with the end users and business SMEs. Our models span the full reach of LBG - from predicting savings balances to identifying which of our customers may fall into financial difficulty and need a helping hand. Your models will have a material impact on the lives of up to 30m+ customers across the whole of the UK - and together we'll make it possible … Are you who we're looking for? We're keen to speak to Data Scientists, Machine Learning Engineers and Software Engineers that have good commercial experience delivering Data Science in Python for large scale industry applications. You will need the industry experience on top of any educational experience. A strong understanding of Python and software engineering is essential including how to write modular Pythonic code, fluency with pandas, Functional Programming, code refactoring, Continuous Delivery, SQL and Docker. Similarly, experience in implementing and supporting Machine Learning systems including the automation of data validation, model training, model validation and model monitoring is also essential. A good theoretical and applied knowledge of Statistical Modelling and/or Machine Learning techniques is beneficial such as: regression, clustering, decision trees and significance testing. The ability to present results in a clear, visual manner to support senior stakeholder decision making is key to the success of our projects. This would be a great role if: You have a track record for delivering industry-level Data Science solutions. You have an automation mind-set. You are customer focused and want to continuously improve our systems. How will we challenge you? You'll have the opportunity to partner across our various businesses to understand and work their complex problems through to solutions. We are really lucky to have a continuous and interesting supply of work and lots of different data sets to work with. You'll get exposure to a host of wider technologies and career moves by broadening your horizons and giving you opportunities to stretch yourself. You'll work with some of the best Data Scientists in the bank as we look to build a thriving data science community, whether through opportunities to share knowledge through self-starting guilds or coach other junior data scientists to support their career development. What you'd get in return: Offering you both funding and profile - we'll provide you with a diverse, energising and informal environment that focuses on equal opportunity and real career progression. We'll take your personal and professional development very seriously and enable you to make a difference to millions throughout your career with us. Together we'll make it possible… Interested but have a questions before you apply? Not sure if the role or culture at Lloyds is right for you? Feel free to reach out to me via Linked In using this link: or via internal e-mail, with any questions and I'll be happy to help.

Senior Data Science Manager x2 (within Applied Sciences & Retail Transformation) London or Bristol (central) Lloyds Banking Group Salary & Benefits: £60,600 to £94,600 base salary (Depending on location), plus annual personal bonus, 15% employer pension contribution (when you put in 6%), 4% flexible cash pot, private medical insurance, 30 days holiday plus bank holidays. We also offer flexible working hours, agile working practices and regular home working. Working for Lloyds is great! Who are Lloyds Banking Group? Lloyds Banking Group is the UK's leading bank with over 30m customers and its biggest digital bank, with over 13 million active online customers. We've placed an ambitious transformation programme and a multi-channel approach to banking at the heart of our strategy to be the best bank for customers, backed by significant investment in our platforms and people. Why join the Data Science Team? You'll work on a wide range of interesting projects with no shortage of work! We take ideas from the concept stage and work with our customers to understand how data science and machine learning can be applied. You'll play a pivotal role in the development of solutions for a wide range of business areas. You'll help rapidly transform our capabilities and be a key player in our further digitisation using latest emerging technologies and services. What will I do as a Senior Manager within Data Science? You'll focus on leading a multi-disciplinary team of 5 - 12 people to delivery and continuously improve data science initiatives. You will also get the opportunity to remain hands on, as much as you feel suitable. You'll lead all stages of a project from working with the users to explore the problem statement, exploring our data assets, experimenting with different modelling approaches and developing systems powered by Machine Learning all within an iterative and Agile environment. Support the team to develop experimental models and Machine Learning systems alongside our Data Engineers (who build the data pipelines and ensure quality) and in close collaboration with our users and business SMEs. Your data science solutions will have a material impact on the lives of up to 30m+ customers across the whole of the UK - and together we'll make it possible … Are you who we're looking for? We're keen to speak to experienced managers who have relevant experience and are interested in those from diverse industry/field backgrounds. As a minimum to be considered we will be looking for; Experience implementing and supporting Machine Learning systems including automating data validation, model training, model validation and model monitoring. Experience managing data science teams. Coaching, mentoring and developing. From a technical perspective we'll need you to have hands on experience of a relevant software engineering practices, the full software development lifecycle within an Agile Data Science function, ideally including data science best practice. Technically, we'll want you to demonstrate knowledge of software engineering best practice and advanced statistical techniques, for example; Python, pandas, functional programming and databases systems are of interest. Additionally experience of working in a DevOps / CICD environment and making extensive use of automation would be what we would like to see. A good theoretical and applied knowledge of Statistical Modelling and/or Machine Learning techniques such as some (not all!) of the following: regression, clustering, attribution (econometrics / MMM), decision trees (CHAID, random forest, XGBoost), significance testing, machine learning (classification and regression models, Keras, Tensorflow). A pragmatic, "keep it simple" attitude to your work and designs. A strong communicator, as we have a lot of involvement with our customers who are both technical and non-technical. This would be a great role if: You have a genuine interest in Data Science. You want to contribute towards senior leadership forums within data science. You are customer focused and want to continuously improve our systems. And how will we challenge you? You'll have the opportunity to partner across our various businesses to understand and work their complex problems through to solutions. We are really lucky to have a continuous and interesting supply of work. You'll get exposure to a host of wider technologies and career moves by broadening your horizons and giving you opportunities to stretch yourself. You'll work with some of the best Data Science developers in the bank as we look to build a thriving data science community, whether through opportunities to share knowledge through self-starting guilds or coaching. What you'd get in return: Offering you both funding and profile - we'll provide you with a diverse, energising and informal environment that focuses on equal opportunity and real career progression. We'll take your personal and professional development very seriously and enable you to make a difference to millions throughout your career with us. Together we'll make it possible… Interested but have a questions before you apply? Not sure if the role or culture at Lloyds is right for you? Feel free to reach out to me via Linked In using this link: or via internal e-mail, with any questions and I'll be happy to help.

Cambridge, Cambridgeshire Tenoke Ltd Cambridge, Cambridgeshire Tenoke Ltd About Tenoke (Mass Challenge Finalist; Winner of Hitech Innovation UK; Winner of CUE Startup Competition Cambridge) Tenoke was co-founded by Principal Investigators in University of Cambridge (Dr Zhongzhao Teng) and Imperial College London (Prof. Yike Guo), who are pioneering in Biomechanics and Medical Imaging and Big Data. We are transforming cardiovascular disease prevention with our cutting edge technology that is groundbreaking, impactful and life-saving. We are currently running clinical trials in 6 top hospitals in China and Addenbrooke's Hospital in Cambridge. Our team in China is working with the government to establish two Cardiovascular and Big Data Research Centres in Jiangsu and Fujian Province. We are looking for the best and brightest engineers to join our team at the Cambridge office. In addition to the salary, the package includes equity. Responsibilities: Development and implementation of the segmentation and co-registration for CT/MRI medical image processing; Working with scientists and clinicians to develop and improve the software prototype and further extension to commercial software packages; Developing machine learning/deep learning/conventional imaging processing algorithms; Contribution and assistance for future research publications and software copyrights. Requirements: MSc or PhD in Computer Science, Electronic Engineering, Medical Physics, Mathematics, Biomedical Engineering or other relevant disciplines, with solid background in medical image processing and analysis. Must have experience in computer aided diagnosis using MR or CT medical images; Experience in conventional imaging processing algorithms, including Bayesian, Level set, Active contour, or Region growth. Strong programming/coding ability (e.g., Python, Matlab, or C++). Desirable: Experience with one or more machine learning software stacks e.g. Caffe, TensorFlow, Theano, and Torch; A passion for artificial intelligence, machine learning and deep learning, and follow the latest developments in these rapidly evolving fields.

Client Server Ltd. Client Server Ltd. Data Scientist (Python Mathematics Project Manager OOP TDD Pandas AI). Are you an experienced Data Scientist looking for an interesting and varied role that combines elements of statistics, machine learning, software engineering, leadership and project management? You could be joining a 'tech for good' company where you'll be able to help shape the world's energy future! Global green energy provider is seeking a hands-on Data Scientist to lead a team of 4 Data Scientists. Together with your team, you'll be conducting complex algorithms on data to solve and answer questions about energy storage facilities and the data they produce alongside carrying out line management duties including; performance reviews, mentoring and personal development, deadline management and improving team methodologies. As a Data Scientist you and your team will be applying statistical modelling, machine learning and AI to large datasets to solve analytical problems across the business. Other tasks will include prototyping new analytical software features in Python and utilising data science capabilities to improve activities across the business. This is an exciting opportunity for you to focus on truly interesting and challenging 'tech for good' projects that continually change from month to month. Based in Hertfordshire, you'll be joining a friendly, supportive and collaborative team. There is parking available and the office is easily commutable from Hemel Hempstead, Watford, St. Albans, Kings Langley and London Euston. The company is dedicated to personal and professional development and will actively encourage you to try out new ideas and learn new skills allowing you to reach your full potential. Requirements: *Extensive experience as a Data Scientist *Strong Python coding skills (Python 3 ideally) and knowledge of relevant libraries (such as Pandas and Keras) *Must have previous Project Manager or Line Management experience (ideally both) *Degree educated (2:1 or above) in Computer Science, Physics or Mathematics *Experience developing and deploying predictive models, machine learning and AI *Understanding of object orientated programming and test driven development *Excellent communication skills *Interest in renewable energy, sustainability and technology for good As a Data Scientist (Python) you can expect to earn a competitive salary (up to £60k) plus 20% bonus and benefits. Apply today or call to have a confidential discussion about this Data Scientist (Python) role.

City, London Oscar Technology City, London Oscar Technology Junior Data Scientist - London- up to £40,000 The successful candidate will be working within a team of data scientists, business analysts & data engineers applying machine learning techniques and algorithms to large data sets. This is an exciting opportunity for an experienced or more junior Data Scientist to thrive within a fast-paced environment working with large data sets and using a range of machine learning approaches. Resposibilities: Creating, modifying and applying algorithms to solve challenging business and technical problems. Evaluating the predictive ability of data sets and advising on optimal data-gathering strategies. Providing expert insight in research projects on mature and emerging machine learning technologies. To assist in the presentation of research project conclusions to Product Management, Development Management and the CTO. Explain complex models, algorithms and solutions to technical and non-technical audiences. Assist the global software support team with issues relating to machine learning functionality and advise on potential solutions Requirements: Experience with Machine learning, data mining, analytics and predictive modelling. Knowledge of data backup, recovery, security, integrity and SQL Problem solving skills and ability to think algorithmically Proficiency with R or Python Related degree from a Russel Group University 1 year industry experience (university placements accpeted) The Company This is a great opportunity to add real value to an established organisation and will offer the applicant an excellent benefits package and a supportive work environment. Apply Now! If you are looking to join an organisation that has a fantastic approach to work in a supportive and forward thinking environment then look no further - this is the role for you! Interviews for this role will be held imminently. To be considered, please send your CV to me now to avoid disappointment. Junior Data Scientist - London- up to £40,000 Oscar Technology Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy at https://our-privacy-policy.

City, London Oscar Technology City, London Oscar Technology City, London Oscar Technology Junior Data Scientist - London- up to £40,000 The successful candidate will be working within a team of data scientists, business analysts & data engineers applying machine learning techniques and algorithms to large data sets. This is an exciting opportunity for an experienced or more junior Data Scientist to thrive within a fast-paced environment working with large data sets and using a range of machine learning approaches. Resposibilities: Creating, modifying and applying algorithms to solve challenging business and technical problems. Evaluating the predictive ability of data sets and advising on optimal data-gathering strategies. Providing expert insight in research projects on mature and emerging machine learning technologies. To assist in the presentation of research project conclusions to Product Management, Development Management and the CTO. Explain complex models, algorithms and solutions to technical and non-technical audiences. Assist the global software support team with issues relating to machine learning functionality and advise on potential solutions Requirements: Experience with Machine learning, data mining, analytics and predictive modelling. Knowledge of data backup, recovery, security, integrity and SQL Problem solving skills and ability to think algorithmically Proficiency with R or Python Related degree from a Russel Group University 1 year industry experience (university placements accpeted) The Company This is a great opportunity to add real value to an established organisation and will offer the applicant an excellent benefits package and a supportive work environment. Apply Now! If you are looking to join an organisation that has a fantastic approach to work in a supportive and forward thinking environment then look no further - this is the role for you! Interviews for this role will be held imminently. To be considered, please send your CV to me now to avoid disappointment. Junior Data Scientist - London- up to £40,000 Oscar Technology Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy at https://our-privacy-policy.

City, London Oscar Technology City, London Oscar Technology Junior Data Scientist - London- up to £40,000 The successful candidate will be working within a team of data scientists, business analysts & data engineers applying machine learning techniques and algorithms to large data sets. This is an exciting opportunity for an experienced or more junior Data Scientist to thrive within a fast-paced environment working with large data sets and using a range of machine learning approaches. Resposibilities: Creating, modifying and applying algorithms to solve challenging business and technical problems. Evaluating the predictive ability of data sets and advising on optimal data-gathering strategies. Providing expert insight in research projects on mature and emerging machine learning technologies. To assist in the presentation of research project conclusions to Product Management, Development Management and the CTO. Explain complex models, algorithms and solutions to technical and non-technical audiences. Assist the global software support team with issues relating to machine learning functionality and advise on potential solutions Requirements: Experience with Machine learning, data mining, analytics and predictive modelling. Knowledge of data backup, recovery, security, integrity and SQL Problem solving skills and ability to think algorithmically Proficiency with R or Python Related degree from a Russel Group University 1 year industry experience (university placements accpeted) The Company This is a great opportunity to add real value to an established organisation and will offer the applicant an excellent benefits package and a supportive work environment. Apply Now! If you are looking to join an organisation that has a fantastic approach to work in a supportive and forward thinking environment then look no further - this is the role for you! Interviews for this role will be held imminently. To be considered, please send your CV to me now to avoid disappointment. Junior Data Scientist - London- up to £40,000 Oscar Technology Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy at https://our-privacy-policy.

City, London Oscar Technology Junior Data Scientist - London- up to £40,000 The successful candidate will be working within a team of data scientists, business analysts & data engineers applying machine learning techniques and algorithms to large data sets. This is an exciting opportunity for an experienced or more junior Data Scientist to thrive within a fast-paced environment working with large data sets and using a range of machine learning approaches. Resposibilities: Creating, modifying and applying algorithms to solve challenging business and technical problems. Evaluating the predictive ability of data sets and advising on optimal data-gathering strategies. Providing expert insight in research projects on mature and emerging machine learning technologies. To assist in the presentation of research project conclusions to Product Management, Development Management and the CTO. Explain complex models, algorithms and solutions to technical and non-technical audiences. Assist the global software support team with issues relating to machine learning functionality and advise on potential solutions Requirements: Experience with Machine learning, data mining, analytics and predictive modelling. Knowledge of data backup, recovery, security, integrity and SQL Problem solving skills and ability to think algorithmically Proficiency with R or Python Related degree from a Russel Group University 1 year industry experience (university placements accpeted) The Company This is a great opportunity to add real value to an established organisation and will offer the applicant an excellent benefits package and a supportive work environment. Apply Now! If you are looking to join an organisation that has a fantastic approach to work in a supportive and forward thinking environment then look no further - this is the role for you! Interviews for this role will be held imminently. To be considered, please send your CV to me now to avoid disappointment. Junior Data Scientist - London- up to £40,000 Oscar Technology Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy at https://our-privacy-policy.

Cambridge, Cambridgeshire Tenoke Ltd About Tenoke (Mass Challenge Finalist; Winner of Hitech Innovation UK; Winner of CUE Startup Competition Cambridge) Tenoke was co-founded by Principal Investigators in University of Cambridge (Dr Zhongzhao Teng) and Imperial College London (Prof. Yike Guo), who are pioneering in Biomechanics and Medical Imaging and Big Data. We are transforming cardiovascular disease prevention with our cutting edge technology that is groundbreaking, impactful and life-saving. We are currently running clinical trials in 6 top hospitals in China and Addenbrooke's Hospital in Cambridge. Our team in China is working with the government to establish two Cardiovascular and Big Data Research Centres in Jiangsu and Fujian Province. We are looking for the best and brightest engineers to join our team at the Cambridge office. In addition to the salary, the package includes equity. Responsibilities: Development and implementation of the segmentation and co-registration for CT/MRI medical image processing; Working with scientists and clinicians to develop and improve the software prototype and further extension to commercial software packages; Developing machine learning/deep learning/conventional imaging processing algorithms; Contribution and assistance for future research publications and software copyrights. Requirements: MSc or PhD in Computer Science, Electronic Engineering, Medical Physics, Mathematics, Biomedical Engineering or other relevant disciplines, with solid background in medical image processing and analysis. Must have experience in computer aided diagnosis using MR or CT medical images; Experience in conventional imaging processing algorithms, including Bayesian, Level set, Active contour, or Region growth. Strong programming/coding ability (e.g., Python, Matlab, or C++). Desirable: Experience with one or more machine learning software stacks e.g. Caffe, TensorFlow, Theano, and Torch; A passion for artificial intelligence, machine learning and deep learning, and follow the latest developments in these rapidly evolving fields.

Client Server Ltd. Data Scientist (Python Mathematics Project Manager OOP TDD Pandas AI). Are you an experienced Data Scientist looking for an interesting and varied role that combines elements of statistics, machine learning, software engineering, leadership and project management? You could be joining a 'tech for good' company where you'll be able to help shape the world's energy future! Global green energy provider is seeking a hands-on Data Scientist to lead a team of 4 Data Scientists. Together with your team, you'll be conducting complex algorithms on data to solve and answer questions about energy storage facilities and the data they produce alongside carrying out line management duties including; performance reviews, mentoring and personal development, deadline management and improving team methodologies. As a Data Scientist you and your team will be applying statistical modelling, machine learning and AI to large datasets to solve analytical problems across the business. Other tasks will include prototyping new analytical software features in Python and utilising data science capabilities to improve activities across the business. This is an exciting opportunity for you to focus on truly interesting and challenging 'tech for good' projects that continually change from month to month. Based in Hertfordshire, you'll be joining a friendly, supportive and collaborative team. There is parking available and the office is easily commutable from Hemel Hempstead, Watford, St. Albans, Kings Langley and London Euston. The company is dedicated to personal and professional development and will actively encourage you to try out new ideas and learn new skills allowing you to reach your full potential. Requirements: *Extensive experience as a Data Scientist *Strong Python coding skills (Python 3 ideally) and knowledge of relevant libraries (such as Pandas and Keras) *Must have previous Project Manager or Line Management experience (ideally both) *Degree educated (2:1 or above) in Computer Science, Physics or Mathematics *Experience developing and deploying predictive models, machine learning and AI *Understanding of object orientated programming and test driven development *Excellent communication skills *Interest in renewable energy, sustainability and technology for good As a Data Scientist (Python) you can expect to earn a competitive salary (up to £60k) plus 20% bonus and benefits. Apply today or call to have a confidential discussion about this Data Scientist (Python) role.