packages. • Lead implementation in R and train other Biostatistics team members. • Create and/or validate all safety and efficacy study output requirements (e.g. ADaM, TLFs ) consistent with data definitions and specifications and relevant study documentation (e.g. protocol, SAP, aCRF) • Conduct statistical programming work of clinical data using R. • Identifies problems and develops global tools that … increase the efficiency and capacity of the Statistical Programming group. • Collaborates with peers and statisticians to ensure the quality and accuracy –thus submission readiness –of clinical data as required by authorities (i.e . SDTM, ADaM, tables, figures, listings , define.xml). Experience and Qualifications Minimum 5+ years of experience in R programming for clinical trial data including … highly desirable. Proven experience in applying R and R-Shiny for the analysis and reporting of clinical trials. Ability to reproduce statistical analysis using R. Strong skills in data visualization and datawrangling using R. Proficiency in using R packages for data exploration and visualization. Application of statistical methodology and concepts in clinical trial More ❯
Place Informatics is helping redefine how the UK’s leading organisations understand people and places. We transform billions of data points on movement and demographics into powerful insights that drive smarter decisions in Retail, Tourism, Local Government, Outdoor Leisure and Real Estate. As part of our passionate team, you’ll help the team who unlock patterns in human … that make a real-world impact. If you’re driven by curiosity and want your work to influence the future of location analytics, join us and help make data work smarter. About the Role Junior Database Administrator (DBA)/Data Ops Engineer You will be responsible for the management, optimisation, and reliability of our databases and … data pipelines. Working closely with our team, you will ensure data is efficiently loaded, processed, and available for use across the business. This position is ideal for candidates who thrive in a data-driven, collaborative environment and want to make a tangible impact on business outcomes. Key Responsibilities: Manage, maintain, and optimise cloud databases More ❯
NLP and modeling experience. You'll work with massive financial datasets to build predictive models that directly impact trading strategies. What You'll Do: Design ML workflows from data ingestion to live deployment Build and optimize data pipelines and benchmarking frameworks Apply NLP and statistical methods to market data What They're Looking For … Strong background in machine learning, NLP, and statistics Proficient in Python and datawrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) MSc or PhD in a quantitative field More ❯
NLP and modeling experience. You'll work with massive financial datasets to build predictive models that directly impact trading strategies. What You'll Do: Design ML workflows from data ingestion to live deployment Build and optimize data pipelines and benchmarking frameworks Apply NLP and statistical methods to market data What They're Looking For … Strong background in machine learning, NLP, and statistics Proficient in Python and datawrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) MSc or PhD in a quantitative field More ❯
NLP and modeling experience. You'll work with massive financial datasets to build predictive models that directly impact trading strategies. What You'll Do: Design ML workflows from data ingestion to live deployment Build and optimize data pipelines and benchmarking frameworks Apply NLP and statistical methods to market data What They're Looking For … Strong background in machine learning, NLP, and statistics Proficient in Python and datawrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) MSc or PhD in a quantitative field More ❯
NLP and modeling experience. You'll work with massive financial datasets to build predictive models that directly impact trading strategies. What You'll Do: Design ML workflows from data ingestion to live deployment Build and optimize data pipelines and benchmarking frameworks Apply NLP and statistical methods to market data What They're Looking For … Strong background in machine learning, NLP, and statistics Proficient in Python and datawrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) MSc or PhD in a quantitative field More ❯
london (city of london), south east england, united kingdom
Alexander Chapman
NLP and modeling experience. You'll work with massive financial datasets to build predictive models that directly impact trading strategies. What You'll Do: Design ML workflows from data ingestion to live deployment Build and optimize data pipelines and benchmarking frameworks Apply NLP and statistical methods to market data What They're Looking For … Strong background in machine learning, NLP, and statistics Proficient in Python and datawrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) MSc or PhD in a quantitative field More ❯
of their key clients on a high-impact project focused on marketing channel performance and statistical analysis. This is a role for someone who loves getting into the data – and knows how to turn complex insights into clear, actionable recommendations for marketing teams. Role & Responsibilities Statistical analysis of marketing performance across paid, organic, CRM, online and offline channels … regression analysis, forecasting, and presenting insights to non-technical stakeholders Post-campaign analysis and reporting – helping clients understand what worked and what didn’t Working closely with GA4 data, Excel data extracts, and slicing/dicing data using Python Skills & Experience Strong experience with Google Analytics 4 (GA4) Proficient in Python – particularly for datawrangling, statistical testing (T-tests, etc.), and data analysis Comfortable working with Excel as a data source (data manipulation and cleaning) Experience with BI tools – Power BI preferred, but Tableau or Looker are also fine Solid grasp of marketing concepts – understanding how paid, organic, CRM channels work and how to optimise them More ❯
for clinical trial analysis (ADaM, tables, figures, listings). Validate R packages. Lead implementation in R and train other Biostatistics team members. Conduct statistical programming work of clinical data using R. Identifies problems and develops global tools that increase the efficiency and capacity of the Statistical Programming group. Create and/or validate all safety and efficacy study … output requirements (e.g. ADaM, TLFs) consistent with data definitions and specifications and relevant study documentation (e.g. protocol, SAP, aCRF) Collaborates with peers and statisticians to ensure the quality and accuracy –thus submission readiness –of clinical data as required by authorities (i.e. SDTM, ADaM, tables, figures, listings, define.xml). Experience And Qualifications Minimum 5+ years of experience … in R programming for clinical trial data including developing and validating R packages from CRO or Pharmaceutical Industry. Strong programming skills in R/R Shiny Proven experience in applying R and R-Shiny for the analysis and reporting of clinical trials. Ability to reproduce statistical analysis using R. Strong skills in data visualization and dataMore ❯
permit required: Yes col-narrow-right Job Reference: cfca8a95e4f3 Job Views: 30 Posted: 18.06.2025 Expiry Date: 02.08.2025 col-wide Job Description: A Little About Us EDB provides a data and AI platform that enables organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud, anywhere. EDB empowers enterprises to control risk … manage costs and scale efficiently for a data and AI led world. Serving more than 1,500 customers globally and as the leading contributor to the vibrant and fast-growing PostgreSQL community, EDB supports major government organizations, financial services, media and information technology companies. EDB’s data-driven solutions enable customers to modernize legacy systems and … break data silos while leveraging enterprise-grade open source technologies. EDB delivers the confidence of up to 99.999% high availability with mission critical capabilities built in such as security, compliance controls, and observability. For more information, visit Role: Strategic Account Executive - UK Based: Remote, United Kingdom The world loves Postgres. If you work with developers or dataMore ❯
London, England, United Kingdom Hybrid / WFH Options
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Role: Data Analytics Engineer Salary: £80,000 - £120,000 DOE + 40% Annual Bonus Location: Central London (Hybrid) Full Time, Perm We have partnered with a global asset management company based in Central London with an asset under management value of 17 billion. They’re looking to expand their Data Team by recruiting a Data Engineer who will be responsible for expanding the expertise within the data engineering team. The company is currently looking to design and implement enhancements to their data practices, data policies and data platforms. The position is hybrid with their office based in Central London. The salary for this position is … up to £120,000 plus 40% bonus, top class healthcare, non-contributory pension, onsite gym along with excellent career progression, learning & development opportunities. Responsibilities Analysis and implementation of data automation tasks Implementation of pragmatic data governance methodology Analyse a wide variety of data sets across multiple asset classes Requirements Strong Python experience Strong SQL More ❯
Azure Data Engineer Location: Remote (Midlands) - £55-75k + benefits An experienced Azure Data Engineer is urgently required to take responsibility for helping to define and implement my client’s data strategy and for the design, build, and implementation of a new Enterprise data platform. The role is a key appointment … successful solution provider with an enviable customer base and an impressive portfolio of products. Role and Responsibilities: Work collaboratively with Architects to define, architect, and implement an Enterprise data platform. Build, test, and maintain a series of complex data platform pipelines. Assume full responsibility for Azure Data Engineering including ingestion, transformation, translation, cleansing, and … publishing. Play a key role in data modelling, data management, and data governance. Lead the organization through the adoption and implementation of data platform initiatives to enable data-led business decisions. Skills and Experience: Experience of having led a successful enterprise data platform strategy and implementation programme “from More ❯
Senior Data Engineer - Hedge Fund - London Company Overview A leading London-based systematic hedge fund managing over $8 billion in client assets. Technology is core to its operations, with a strong focus on data-driven strategies. The team is currently overhauling its data infrastructure to better support quant research and trading. Role Overview Join … a lean, high-impact Data Engineering team responsible for the ingestion, transformation, and delivery of diverse datasets—from tick and time series to reference and alternative data. You’ll build modern, scalable data pipelines and platforms, support the strategic tech stack, and collaborate closely with quants and portfolio managers. This is a hands-on role with … full ownership across the development lifecycle. Qualifications 5+ years in data engineering Strong Python and datawrangling libraries Expert SQL skills and solid RDBMS understanding Experience with cloud-based data solutions (e.g. serverless ETL, data warehouses) Familiarity with Git, Docker, CI/CD pipelines, testing and monitoring Clear communicator, comfortable with cross More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Radley James
Senior Data Engineer - Hedge Fund - London Company Overview A leading London-based systematic hedge fund managing over $8 billion in client assets. Technology is core to its operations, with a strong focus on data-driven strategies. The team is currently overhauling its data infrastructure to better support quant research and trading. Role Overview Join … a lean, high-impact Data Engineering team responsible for the ingestion, transformation, and delivery of diverse datasets—from tick and time series to reference and alternative data. You’ll build modern, scalable data pipelines and platforms, support the strategic tech stack, and collaborate closely with quants and portfolio managers. This is a hands-on role with … full ownership across the development lifecycle. Qualifications 5+ years in data engineering Strong Python and datawrangling libraries Expert SQL skills and solid RDBMS understanding Experience with cloud-based data solutions (e.g. serverless ETL, data warehouses) Familiarity with Git, Docker, CI/CD pipelines, testing and monitoring Clear communicator, comfortable with cross More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Radley James
Senior Data Engineer - Hedge Fund - London Company Overview A leading London-based systematic hedge fund managing over $8 billion in client assets. Technology is core to its operations, with a strong focus on data-driven strategies. The team is currently overhauling its data infrastructure to better support quant research and trading. Role Overview Join … a lean, high-impact Data Engineering team responsible for the ingestion, transformation, and delivery of diverse datasets—from tick and time series to reference and alternative data. You’ll build modern, scalable data pipelines and platforms, support the strategic tech stack, and collaborate closely with quants and portfolio managers. This is a hands-on role with … full ownership across the development lifecycle. Qualifications 5+ years in data engineering Strong Python and datawrangling libraries Expert SQL skills and solid RDBMS understanding Experience with cloud-based data solutions (e.g. serverless ETL, data warehouses) Familiarity with Git, Docker, CI/CD pipelines, testing and monitoring Clear communicator, comfortable with cross More ❯
london, south east england, united kingdom Hybrid / WFH Options
Radley James
Senior Data Engineer - Hedge Fund - London Company Overview A leading London-based systematic hedge fund managing over $8 billion in client assets. Technology is core to its operations, with a strong focus on data-driven strategies. The team is currently overhauling its data infrastructure to better support quant research and trading. Role Overview Join … a lean, high-impact Data Engineering team responsible for the ingestion, transformation, and delivery of diverse datasets—from tick and time series to reference and alternative data. You’ll build modern, scalable data pipelines and platforms, support the strategic tech stack, and collaborate closely with quants and portfolio managers. This is a hands-on role with … full ownership across the development lifecycle. Qualifications 5+ years in data engineering Strong Python and datawrangling libraries Expert SQL skills and solid RDBMS understanding Experience with cloud-based data solutions (e.g. serverless ETL, data warehouses) Familiarity with Git, Docker, CI/CD pipelines, testing and monitoring Clear communicator, comfortable with cross More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Radley James
Senior Data Engineer - Hedge Fund - London Company Overview A leading London-based systematic hedge fund managing over $8 billion in client assets. Technology is core to its operations, with a strong focus on data-driven strategies. The team is currently overhauling its data infrastructure to better support quant research and trading. Role Overview Join … a lean, high-impact Data Engineering team responsible for the ingestion, transformation, and delivery of diverse datasets—from tick and time series to reference and alternative data. You’ll build modern, scalable data pipelines and platforms, support the strategic tech stack, and collaborate closely with quants and portfolio managers. This is a hands-on role with … full ownership across the development lifecycle. Qualifications 5+ years in data engineering Strong Python and datawrangling libraries Expert SQL skills and solid RDBMS understanding Experience with cloud-based data solutions (e.g. serverless ETL, data warehouses) Familiarity with Git, Docker, CI/CD pipelines, testing and monitoring Clear communicator, comfortable with cross More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Radley James
Senior Data Engineer - Hedge Fund - London Company Overview A leading London-based systematic hedge fund managing over $8 billion in client assets. Technology is core to its operations, with a strong focus on data-driven strategies. The team is currently overhauling its data infrastructure to better support quant research and trading. Role Overview Join … a lean, high-impact Data Engineering team responsible for the ingestion, transformation, and delivery of diverse datasets—from tick and time series to reference and alternative data. You’ll build modern, scalable data pipelines and platforms, support the strategic tech stack, and collaborate closely with quants and portfolio managers. This is a hands-on role with … full ownership across the development lifecycle. Qualifications 5+ years in data engineering Strong Python and datawrangling libraries Expert SQL skills and solid RDBMS understanding Experience with cloud-based data solutions (e.g. serverless ETL, data warehouses) Familiarity with Git, Docker, CI/CD pipelines, testing and monitoring Clear communicator, comfortable with cross More ❯
NLP and modeling experience. You'll work with massive financial datasets to build predictive models that directly impact trading strategies. What You'll Do: Design ML workflows from data ingestion to live deployment Build and optimize data pipelines and benchmarking frameworks Apply NLP and statistical methods to market data What They're Looking For … Strong background in machine learning, NLP, and statistics Proficient in Python and datawrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) #J-18808-Ljbffr More ❯
NLP and modeling experience. You'll work with massive financial datasets to build predictive models that directly impact trading strategies. What You'll Do: Design ML workflows from data ingestion to live deployment Build and optimize data pipelines and benchmarking frameworks Apply NLP and statistical methods to market data What They're Looking For … Strong background in machine learning, NLP, and statistics Proficient in Python and datawrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) #J-18808-Ljbffr More ❯
experience with a similar role with good knowledge of Cognos (or similar) and Microsoft Excel. Duties Include: Production of business and customer analytics including reports and dashboards Wranglingdata using our data science software to build informative data sets Working with different functions to develop KPI's and integrate them into our workstreams Support … essential for our executives in executing critical business decisions General System administration Any other ad-hoc duties Person Specification: A minimum of 12 months experience in BI/Data reporting role Experienced in using Cognos (desirable yet not essential) or similar BI tool Highly proficient in Microsoft Excel Degree in Mathematics/Statistics/Data engineering More ❯
experience with a similar role with good knowledge of Cognos (or similar) and Microsoft Excel. Duties Include: Production of business and customer analytics including reports and dashboards Wranglingdata using our data science software to build informative data sets Working with different functions to develop KPI's and integrate them into our workstreams Support … essential for our executives in executing critical business decisions General System administration Any other ad-hoc duties Person Specification: A minimum of 12 months experience in BI/Data reporting role Experienced in using Cognos (desirable yet not essential) or similar BI tool Highly proficient in Microsoft Excel Degree in Mathematics/Statistics/Data engineering More ❯
Vacancy for Senior Research Data Steward at University College London 12 May 2024 London Full-Time About us The UCL Centre for Advanced Research Computing (ARC) is UCL's institute for infrastructure and innovation in digital research, supporting supercomputers, datasets, software, and people that enable computational science and digital scholarship. We are a hybrid organization combining a professional … services department providing reliable and secure infrastructure to UCL research groups, and a research laboratory for advancing computational and data-intensive research methods, collaborating with academics across disciplines. We house research technology professionals-including research software engineers, HPC systems engineers, dev-ops specialists, data engineers, data scientists, and data stewards-who support … and collaborate in UCL research activities. Research Data Stewards (also known as research data managers, data consultants, data wranglers, or bioinformaticians) offer technical support and consultancy to UCL researchers, assisting with data management, policy compliance, and promoting Open Science and FAIR data principles. They will be embedded within More ❯
for clinical trial analysis ( ADaM, tables, figures, listings). • Validate R packages. • Lead implementation in R and train other Biostatistics team members. • Conduct statistical programming work of clinical data using R. • Identifies problems and develops global tools that increase the efficiency and capacity of the Statistical Programming group. • Create and/or validate all safety and efficacy study … output requirements (e.g. ADaM, TLFs ) consistent with data definitions and specifications and relevant study documentation (e.g. protocol, SAP, aCRF) • Collaborates with peers and statisticians to ensure the quality and accuracy -thus submission readiness -of clinical data as required by authorities (i.e . SDTM, ADaM, tables, figures, listings , define.xml). Experience and Qualifications Minimum 5+ years of … experience in R programming for clinical trial data including developing and validating R packages from CRO or Pharmaceutical Industry. Strong programming skills in R/R Shiny Proven experience in applying R and R-Shiny for the analysis and reporting of clinical trials. Ability to reproduce statistical analysis using R. Strong skills in data visualization and More ❯
for clinical trial analysis ( ADaM, tables, figures, listings ). Validate R packages. Lead implementation in R and train other Biostatistics team members. Conduct statistical programming work of clinical data using R. Identify problems and develop global tools to increase the efficiency and capacity of the Statistical Programming group. Create and validate safety and efficacy study output requirements (e.g. … ADaM, TLFs ) consistent with data definitions, specifications, and relevant documentation (e.g., protocol, SAP, aCRF). Collaborate with peers and statisticians to ensure the quality and accuracy of clinical data for submission readiness (e.g., SDTM, ADaM, tables, figures, listings, define.xml ). Experience and Qualifications Minimum 5+ years of experience in R programming for clinical trial data … Shiny. Proven experience in applying R and R-Shiny for analysis and reporting of clinical trials, with the ability to reproduce statistical analyses using R. Strong skills in data visualization and datawrangling using R, with proficiency in R packages for data exploration and visualization. Application of statistical methodology and concepts in clinical trial More ❯