151 to 175 of 288 Statistical Analysis Jobs in the UK

interfaces. WHAT WE LOOK FOR • Senior Developer in large projects across a global team of developers and risk managers • Performance tune applications to improve memory and CPU utilization. • Perform statistical analyses to identify trends and exceptions related Market Risk metrics. • Build internal and external reporting for the output of risk metric calculation using data extraction tools, such as SQL 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 ❯

and build out the systematic infrastructure within the business. Key Responsibilities: Quantitative Research & Strategy Development: Conduct rigorous quantitative research to identify market inefficiencies and develop systematic trading strategies. Utilize statistical, econometric, and machine learning techniques to model macroeconomic relationships and forecast asset prices. Data Analysis & Signal Generation: Analyse large and complex datasets, including macroeconomic indicators, market prices, and … Economics, Finance, Mathematics, Statistics, Computer Science, or a related field. Strong programming skills in Python, R, or a similar language, and the ability to write clean code. Experience with statistical analysis, econometrics, and machine learning techniques. Proficiency in working with large datasets and data analysis tools. Familiarity with financial markets and economic theory. Proven track record of More ❯

and build out the systematic infrastructure within the business. Key Responsibilities: Quantitative Research & Strategy Development: Conduct rigorous quantitative research to identify market inefficiencies and develop systematic trading strategies. Utilize statistical, econometric, and machine learning techniques to model macroeconomic relationships and forecast asset prices. Data Analysis & Signal Generation: Analyse large and complex datasets, including macroeconomic indicators, market prices, and … Economics, Finance, Mathematics, Statistics, Computer Science, or a related field. Strong programming skills in Python, R, or a similar language, and the ability to write clean code. Experience with statistical analysis, econometrics, and machine learning techniques. Proficiency in working with large datasets and data analysis tools. Familiarity with financial markets and economic theory. Proven track record of More ❯

contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football … industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series … etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work More ❯

contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football … industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series … etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work More ❯

will also be expected to undertake Data Science projects, including forecasting models, rapid feedback cycles, and advanced A/B testing. YOUR SKILLS AND EXPERIENCE Python SQL Experience using statistical analysis Modelling experience APPLY Register your interest by sending an email to Riversteytler@harnham.com or applying below. Please note our client cannot offer sponsorship More ❯

and will be based at the client's site in Surrey, which is commutable from London, Oxford, Reading and Guilford. The purpose of the role is to perform bioinformatics analysis and software support for genomics/systems biology projects, assisting in development, test and maintenance of modular software pipelines, providing daily data analysis, preliminary interpretation of the data … of notebooks (R markdown/Jupyter) Experience in data mining, working with large datasets such as DNA- and RNA-sequencing, epigenomic, proteomic and protein-protein interaction data Experience in statistical analysis and handling of large data sets The ability to analyse and interpret bioinformatics data in the context of biological pathways and networks Ability to work in a More ❯

Be one of the first applicants, read the complete overview of the role below, then send your application for consideration. The purpose of the role is to perform bioinformatics analysis and software support for genomics/systems biology projects, assisting in development, test and maintenance of modular software pipelines, providing daily data analysis, preliminary interpretation of the data … of notebooks (R markdown/Jupyter) Experience in data mining, working with large datasets such as DNA- and RNA-sequencing, epigenomic, proteomic and protein-protein interaction data Experience in statistical analysis and handling of large data sets The ability to analyse and interpret bioinformatics data in the context of biological pathways and networks Ability to work in a More ❯

About Football Radar For over a decade, Football Radar has excelled in developing statistical models and analytical frameworks for football. Our expertise extends to providing advisory services to football clubs and offering leading-edge betting advice that has consistently delivered outstanding returns for our clients. We try to combine the freedom and flexibility of working in a start-up … the stability of an established business, giving our people the autonomy to act and the support to succeed. About the Role You will be responsible for designing and developing statistical models used to predict cricket matches. We are looking for smart, mathematical and ambitious people who enjoy solving challenging problems and can make pragmatic decisions. You do need to … you if you have: Strong problem solving skills, with an ability to proactively identify challenges and propose solutions An ability to make pragmatic and sensible choices about what data analysis and modelling approaches to use - you can judge when it's right to obsess about the details, and when it's right to ship an MVP as fast as More ❯

Souza Senior Technical Pricing Analyst: An opportunity has arisen to join Ageas's Underwriting department in the Technical Pricing team. Technical Pricing are responsible for the production of specialist statistical risk models for our insurance products including Private Car, Van, Bike and Household. While we have offices in London, Eastleigh and Bournemouth, we will accommodate working from home full … as an Actuary. Main Responsibilities: Creating complex, robust actuarial models and interpreting the results to deliver high impact, innovative pricing. Assisting in the production of ad-hoc actuarial and statistical analyses, working with stakeholders across the company to solve a wide range of business problems Producing reports, documentation, and presentations to communicate statistical models and results to key … for this role. Excellent analytical skills with the ability to manipulate and interpret data. The job holder should be able to identify, investigate and interpret the results of an analysis, considering past the more obvious first order effects. A high level of problem solving is required, both logically and laterally, along with an ability to engage in research. To More ❯

you're experienced with Flatiron data and thrive in complex, matrixed environments, this is your opportunity to drive meaningful change in cancer research. What you’ll be doing: Lead statistical programming and analytics using Flatiron Health and other real-world data (RWD) sources, including claims, EHR, genomic, and HEOR data. Develop statistical analysis plans, specifications, and contribute More ❯

optimize performance and consolidate the workflow across asset classes. Extending existing test suites, including unit, regression, and integration tests. Performance and memory profiling. Assisting in the execution of impact analysis testing runs. Identifying and developing calculation optimization improvements Working on documentation. Working with Front Office teams to integrate quant library/technology enhancements into the codebase. Utilizing in-depth … of Rates, Credit, Equities, Commodities, FX derivatives. Experience working on Regulatory based projects such as Model Risk, Basel, Stress Testing, FRTB, CCAR is an advantage. Solid mathematical finance and statistical analysis skills. Familiarity with Numerical analysis/Monte-Carlo methods. Knowledge of probability and stochastic calculus. Education: Master's degree or equivalent in computer science, mathematics, engineering More ❯

hoc and pre-built reporting. - Work with product tech teams and build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark. - Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. - Interface with business customers, gathering requirements and delivering complete reporting solutions. - Collaborate with Analysts, Business Intelligence Engineers and Product Managers … to implement algorithms that exploit rich data sets for statistical analysis, and machine learning. - Participate in strategic & tactical planning discussions, including annual budget processes. - Communicate effectively with product/business/tech-teams/other Data teams. BASIC QUALIFICATIONS - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines PREFERRED QUALIFICATIONS - Experience with More ❯

between. Whether a fund investor, manager or advisor, the Alternative Investment Funds team has the data, solutions and industry network to help the clients take their fund and company analysis to the next level. What's the role : The Alternatives Technical Account Managers are a group of individuals who play a vital role in delivering exceptional service and technical … and verbal communication skills We'd love to see : Experience in using business intelligence to identify gaps and trends, or opportunities for product enhancements Knowledge in information technology and statistical analysis or computer programming for example Excel, SQL, and/or Python Does this sound like you? Apply if you think we're a good match. We'll More ❯

be ready to jump into a fast-paced, dynamic and fun environment. Key job responsibilities - Working with product management and engineering to identify and scope data aggregations that facilitate analysis of most common customer behavioral questions. - Partnering with our Data Engineering team to enhance data infrastructure, data availability, and broad access to customer insights made available through . - Join … military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. PREFERRED QUALIFICATIONS - Experience working directly with business stakeholders to translate More ❯

measuring impacts, and iterating as needed. Partnering with various teams to implement, monitor, and evaluate the success of these strategies. Converting complex analyses into clear insights and recommendations. Conducting statistical analysis, forecasting, and data mining to inform strategic decisions. Innovating in the credit space. Building and maintaining relationships with internal and external stakeholders. Ideal candidate profile More ❯

experience - - Experience with complex machine learning models of physical systems, commissioning of industrial control software - Proficiency with machine and process reliability, integration of human and automated processes, experimental design, statistical analysis - Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and More ❯

experience - - Experience with complex machine learning models of physical systems, commissioning of industrial control software - Proficiency with machine and process reliability, integration of human and automated processes, experimental design, statistical analysis - Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and More ❯

tools, specifically SQL for data extraction and manipulation, combined with experience in using visualization platforms such as Amazon QuickSight or Tableau. The ideal candidate should be capable of performing statistical analysis on extracted datasets to derive meaningful insights. Preferred qualifications are not required to apply for a position at Amazon. If you have all the basic qualifications above More ❯

workflow automation using low-code/no-code platforms when applicable Create API integrations between marketing tools, CRM systems, and content management platforms using MCP or alternative protocols. Perform statistical analysis including A/B testing, causal inference, and experimental design to build the business case of POC's Work closely with data engineers, media consultants and clients More ❯

You'll work within a dynamic team to support and enhance our AI-driven talent platform. Your background is in a heavy data environment, with a natural inclination towards statistical analysis. A STEM degree is beneficial but not necessary. You should be comfortable in the cloud, preferably AWS, with good experience building, managing, and enhancing data pipelines. Proficiency in More ❯

tools and platforms (e.g., Jupyter, Pandas, NumPy, MLFlow). Familiarity with cloud-based AI tools and infrastructure, especially within the AWS ecosystem. Strong understanding of data structures, algorithms, and statistical analysis. Experience working with ETL pipelines and structured/unstructured data. Must be available to attend quarterly company meetings in person. More ❯

tools and platforms (e.g., Jupyter, Pandas, NumPy, MLFlow). Familiarity with cloud-based AI tools and infrastructure, especially within the AWS ecosystem. Strong understanding of data structures, algorithms, and statistical analysis. Experience working with ETL pipelines and structured/unstructured data. Must be available to attend quarterly company meetings in person. More ❯

You As an experienced Lead Data Analyst, you'll be proficient in Excel, SQL and querying languages to interrogate data sets, with strong analytical skills and an understanding of statistical analysis. The ability to present complex data insights in a clear and understandable manner to technical and non-technical stakeholders is essential for the role, as is the ability More ❯