11 of 11 Permanent Statistical Analysis Jobs in the Thames Valley

Support Room. Pre-event simulations and reports, in-event support and post-race analysis. Work with Race Engineers and tyre department to define pre-event tyre usage plan. Competitor Analysis both during a race weekend and between events, aiding and assisting other departments if applicable. Use pre-race simulations to define fuel loads and fuel usage plan. Improve existing … tools and help develop the direction of the strategy group. Numerical and Statistical analysis of data. Development of the existing tools used in strategy operations and procedures. Researching and implementing new analysis, methodologies, software tools and techniques for future developments. Assist Pit Stop Working Group to define projects and priorities. Assisting with pitstop analysis (both competitor … Assumes any responsibilities delegated by the Head of Strategy or their designee. Education and Work Experience: A Masters or PhD level degree in a STEM discipline Experience in data analysis, numerical and statistical methodologies and their applications. Strong problem solving, logical thinking with research and reporting skills are essential. At least 4 years’ experience within a Formula More ❯

Support Room. Pre-event simulations and reports, in-event support and post-race analysis. Work with Race Engineers and tyre department to define pre-event tyre usage plan. Competitor Analysis both during a race weekend and between events, aiding and assisting other departments if applicable. Use pre-race simulations to define fuel loads and fuel usage plan. Improve existing … tools and help develop the direction of the strategy group. Numerical and Statistical analysis of data. Development of the existing tools used in strategy operations and procedures. Researching and implementing new analysis, methodologies, software tools and techniques for future developments. Assist Pit Stop Working Group to define projects and priorities. Assisting with pitstop analysis (both competitor … Assumes any responsibilities delegated by the Head of Strategy or their designee. Education and Work Experience: A Masters or PhD level degree in a STEM discipline Experience in data analysis, numerical and statistical methodologies and their applications. Strong problem solving, logical thinking with research and reporting skills are essential. At least 4 years’ experience within a Formula More ❯

customers. As a mid-level contributor, you will work on a variety of data-driven projects, collaborate with cross-functional teams, and help implement scalable solutions. Key Responsibilities Data Analysis & Modelling: Analyse large, complex datasets to identify trends, patterns, and actionable insights. Develop, implement, and optimize machine learning models to solve business problems. Conduct A/B testing and … experimental analysis to validate hypotheses. Data Management & Engineering: Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency. Design and develop ETL pipelines and workflows for data pre-processing. Develop automated tests to validate the processes and models you create. Collaboration & Communication: Collaborate with stakeholders to define project goals, requirements, and deliverables. Actively participate in design meetings … data science, Statistics, Mathematics, or a related field. Experience: 2 or more years of experience in a data science or analytics role. Proven experience in building machine learning models, statistical analysis, and predictive analytics. Experience designing experiments or modelling approaches to solve a specified business problem. Preferred Qualifications Proficiency in programming languages such as Python or R; knowledge More ❯

RF, and enjoys cross-team interaction. Responsibilities include: Define, design, implement, and maintain measurement/test solutions for link/modem validation Define and analyse calibration and metrology aspects (statistical error analysis, confidence levels, error budgets) Develop modular, reusable software in Python (or similar languages) to be implemented in a variety of setups Analyse and troubleshoot link-performance … testers, channel emulators) Physical-layer satellite modem algorithms/standards (DVB-S2, CCSDS) Experience in collaborative software design (GIT, code reviews) Experience in test automation Linux and Windows experience Statistical analysis and metrology This is a fantastic opportunity for a Communications Test Engineer to design and own new cutting-edge products in a fast-paced, innovative environment and More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing More ❯

and how they operate Extensive experience designing, developing and maintaining pipelines and tools to measure real-time engineering operations and processes Strong analytical and problem-solving skills in performing statistical analysis, data modeling, and predictive analytics. Professional experience in modern C++, including the STL and common testing frameworks Fluency in Python for software development Ability to develop high More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role does More ❯

Join a sponsor-dedicated team and contribute to the advancement of in-house study activities over time. As the R Programming Lead , you will provide technical expertise to the Statistical Programming team, ensuring the delivery of high-quality solutions that meet both internal and external requirements. Responsibilities • Develop internal and external R packages 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 … 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 data wrangling using R. Proficiency in using R packages More ❯

Join a sponsor-dedicated team and contribute to the advancement of in-house study activities over time. As the R Programming Lead , you will provide technical expertise to the Statistical Programming team, ensuring the delivery of high-quality solutions that meet both internal and external requirements. Responsibilities • Develop internal and external R packages 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 … 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 data wrangling using R. Proficiency in using R packages More ❯

Build and maintain a functional simulator of the OTPU pipeline and subsystems. Develop architectural and cycle-accurate simulators to identify bottlenecks and optimize throughput, latency, and utilization. Benchmarking & Bottleneck Analysis : Instrument LLMs, diffusion models, and graph workloads to generate detailed traces for deep performance analysis. Design-Space Exploration : Run extensive parameter sweeps to explore architectural tradeoffs, and deliver clear … quantitative insights that guide our hardware, software, and optical designs. Tooling & Automation : Create robust Python/C++ tools for trace parsing, statistical analysis, and visualization. Integrate models into CI pipelines for automated performance regression testing. Required Skills & Experience 5+ years of experience building performance or power models for CPUs, GPUs, ASICs, or custom accelerators. Proficiency in C++ and More ❯

Build and maintain a functional simulator of the OTPU pipeline and subsystems. Develop architectural and cycle-accurate simulators to identify bottlenecks and optimize throughput, latency, and utilization. Benchmarking & Bottleneck Analysis : Instrument LLMs, diffusion models, and graph workloads to generate detailed traces for deep performance analysis. Design-Space Exploration : Run extensive parameter sweeps to explore architectural tradeoffs, and deliver clear … quantitative insights that guide our hardware, software, and optical designs. Tooling & Automation : Create robust Python/C++ tools for trace parsing, statistical analysis, and visualization. Integrate models into CI pipelines for automated performance regression testing. Required Skills & Experience 5+ years of experience building performance or power models for CPUs, GPUs, ASICs, or custom accelerators. Proficiency in C++ and More ❯