21 of 21 Statistical Analysis Jobs in the Thames Valley

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to … in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch. Proven experience with statistical analysis, hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. More ❯

ETL pipelines to creating reporting in Quicksight or Excel. • Gather business requirements from key stakeholders in Finance and Business teams, and translate into scalable and automated solutions. • Provide informed analysis, insight and recommendations around our business metrics to drive optimisation and more effective decision making. • Build strong relationships with the Data Engineering and Core Analytics Tooling teams to enhance … and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for 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 ❯

Biotech industry or related field or industry! Knowledge of trial site operations and study execution Strong knowledge of regulatory guidelines (e.g., ICH-GCP). Demonstrated strong understanding of data analysis and familiarity with basic statistical concepts and hands-on experience using data visualization tools Project, Issue, and risk management experience with strong ability to apply critical thinking & problem … solving skills, to drive solutions &helping to lead teams to successful outcomes. Strong experience working with technology platforms and systems used for the collection, analysis and reporting of data. Experience working in highly diverse teams within clinical research; cross-functional, global, multiregional Planning and coordination skills. Experience working with cross-functional stakeholders and leading teams in a matrix environment … drug development processes Preferred Experience Working with complex data structures and reporting specifications Working with external data e.g., Safety Lab, PK, Simple Biomarkers, ECG, or similar. Possess proficiency in statistical analysis, data modelling, and data visualization techniques, or demonstrate strong knowledge in these areas. Strong Knowledge of Monitoring and Risk-based Quality Management (RBQM)/Risk-Based Monitoring More ❯

client issues, usability gaps, or additions to modelling features Define tests to ensure that model updates and features meet quality expectations before client release Apply advanced analytics techniques (e.g. statistical analysis, visualisation, sensitivity testing) to help interrogate, validate, and interpret model outputs Support internal and external clients by answering technical product queries, analysing model behaviour, and gathering structured … and evidence of strong academic performance (First, 2:1 or similar) in a quantitative or technical discipline 1-2+ years of experience in a role involving complex data analysis, modelling, or product development (e.g. in energy, software, finance, or consulting) Proficiency in at least one programming language commonly used for analysis (e.g. Python, R, MATLAB) Demonstrated ability More ❯

models (LLMs), ensuring coherence, accuracy, and logical consistency. Collaborate with quant researchers and engineers to improve the performance, accuracy, and reliability of AI-driven models. Conduct descriptive and exploratory analysis to uncover patterns, trends, and potential applications across a wide range of datasets. Maintain robust and scalable data infra to support real-time and batch processing workflows. Provide domain … Data Science or Quantitative roles within finance. Proficiency in Python and SQL with exp. in data processing libraries such as pandas/numpy. Experience with machine learning frameworks and statistical analysis tools. Familiarity with financial data sources, APIs, and data modelling techniques. Ability to design, implement, and maintain scalable data pipelines and workflows. Excellent problem-solving skills and More ❯

using health-related observational and clinical trial data under one client portfolio. It is important for this individual to have knowledge in observational research and psychometric methodologies, a strong statistical programming skillset, and experience managing multiple studies and complex analyses. In this role, individuals will have access to real-world databases and act as the stewards of the client … s best practices, standards, and methodologies underlying the use of real-world data (RWD). Essential Functions Develop statistical analysis plans for descriptive and complex statistics in studies using RWD and clinical trial data for PRO/COA psychometric endpoint research questions Mastery in both classical and modern test theories and PRO/COA validation to program analytics … Support integration of PRO clinical trial results into value dossier and regulatory submission packages Lead development of statistical programs using SAS for regulatory and non-regulatory submissions (pre-defined and post-hoc) Implement CDISC standards as required for project deliverables Conduct QC programming for descriptive and complex studies in RWD Contribute to writing study reports and use of visualization More ❯

trading systems through rigorous optimization and testing of C++ code. Backtesting and Simulation: Develop tools and frameworks for backtesting trading strategies and running simulations to validate model performance. Data Analysis: Analyze large datasets to identify patterns, trends, and opportunities that can inform trading strategies. Collaboration: Work closely with traders, quants, and other developers to integrate new features and enhancements … plus. Financial Knowledge: Market Expertise: In-depth knowledge of equities and futures markets, with a strong understanding of market microstructure and trading strategies. Quantitative Skills: Familiarity with mathematical modeling, statistical analysis, and machine learning techniques. Experience: Industry Experience: 3+ years of experience as a Quantitative Developer or similar role within a hedge fund, proprietary trading firm, or investment More ❯

our client at conferences. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy More ❯

qualifications, along with Team Management & Leadership experience preferred Demonstrable Data & Analytics market insight and expertise, alongside deep industry and sector knowledge Advanced analytics understanding and demonstrable expertise - predictive modelling, statistical analysis, and machine learning Experience conducting quantitative and qualitative analysis with visualisation and analytics techniques to solve defined business problems Strong communication skills including the ability to More ❯

I am working with a leading Personal Lines Insurer who are seeking a Technical Pricing Manager. The successful candidate will be responsible for the production of specialist statistical risk models across a range of products. As a Technical Pricing Manager, you’ll drive strategic change by enhancing model sophistication and leveraging the latest data science techniques to support profitable … business growth. Key Responsibilities: Develop and refine complex actuarial models to deliver high-impact, innovative pricing solutions Conduct ad-hoc actuarial and statistical analyses, working with stakeholders across the business to address diverse challenges Produce reports, documentation, and presentations to effectively communicate statistical models and insights to key stakeholders Requirements: Proficiency in data science techniques using Python or … R Expertise in statistical analysis software, with knowledge of Willis Towers Watson (Emblem, Radar) being highly desirable Strong understanding of pricing and underwriting principles, preferably within personal or commercial lines at a large business scale Ability to oversee pricing model development and maintenance while evaluating the profitability and market positioning of new and existing product propositions Proven experience More ❯

insights. - Stakeholder Engagement: Communicate effectively across technical and non-technical teams. - Data Engineering: Basic skills in SQL and big data tools (e.g., Athena). - Experimentation: A/B testing, statistical analysis, performance metrics. - Compliance: Knowledge of data privacy (GDPR), PII handling. - Agile Working: Experience in Agile/Scrum teams (Jira, Azure DevOps). Essential Skills & Experience More ❯

technical stakeholders. Experience in cross-functional team. Data Engineering Basics: Familiarity with SQL and big data processing tools (e.g., Amazon Athena). Model Evaluation & Experimentation: A/B testing, statistical analysis, and performance metrics. Security & Compliance Awareness: Understanding of data privacy, PII handling, and compliance standards (e.g., GDPR). Agile Methodologies: Experience working in Agile/Scrum teams More ❯

technical stakeholders. Experience in cross-functional team. Data Engineering Basics: Familiarity with SQL and big data processing tools (e.g., Amazon Athena). Model Evaluation & Experimentation: A/B testing, statistical analysis, and performance metrics. Security & Compliance Awareness: Understanding of data privacy, PII handling, and compliance standards (e.g., GDPR). Agile Methodologies: Experience working in Agile/Scrum teams More ❯

ensuring that they meet defined optical specifications and quality standards. Establish testing protocols for various stages of development. Implement process control techniques to ensure production consistency. Collect and perform statistical analysis on metrology data to identify trends, variances, and correlations to performance metrics. Analyze measurement data and correlate results to key performance indicators (KPIs). Produce comprehensive reports … and production) to identify areas for performance enhancement. Propose and implement improvements in metrology techniques and testing procedures. Create and maintain detailed technical documentation, including test plans, procedures, data analysis reports, and process control records. Minimum Qualifications: Bachelor's or Master's degree in Optical Engineering, Physics, Electrical Engineering, or a related Engineering field. 3+ years of hands-on … experience in optical testing, with a focus on waveguides or similar optical components. Proficiency in statistical data analysis using JMP or Minitab. Familiarity with process control, quality control, and acceptance testing in a high-volume manufacturing environment. Excellent troubleshooting skills with the ability to diagnose issues with optical systems and testing equipment. Strong communication skills, including the ability 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 ❯

Principal Statistical Programmer - EMEA Remote or Office based ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development. We are expanding our global Biostatistics and Programming team across … to join this successful and evolving group, which forms part of our operational center of excellence; ICON Operational Delivery (IOD). We have an exciting opportunity for a Principal Statistical Programmer to join this thriving team. Overview of the Role: As a Principal Statistical Programmer, you will partner with a wide range of clients to lead Phase II … III studies, program statistical analyses/reports, analyze datasets, tables, figures (or graphs), listings (TFLs), with an emphasis on CDISC ADaM programming. Our team works remotely across multiple countries which provides the flexibility to adjust your schedule as needed. With much collaboration across regions, we still have that small company feel but are backed by a multinational corporation that More ❯

enjoys cross-team interaction. JOB DUTIES AND RESPONSIBILITIES Define, design, implement, and maintain measurement/test solutions for link/modem validation Define and analyze 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 Analyze 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 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 ❯

and Flood Alleviation Projects for Local Authorities and Private Sector Clients in the UK and overseas. Applicants will also be supported to complete GIS Mapping using ArcGIS and QGIS, Statistical Analysis using SPSS, and coding using Python. This role comes offers a competitive salary, substantial benefits package, international work, training courses and career development. If this role is More ❯