51 to 75 of 111 Statistical Analysis Jobs in England

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 ❯

We are looking for a full-time Senior Data and Insights Analyst to join our Research and Intelligence team to lead on using data across the HFEA including in statistical reports and our award-winning dashboards, as well managing preparation of large and sensitive datasets for specific research purposes. The HFEA holds the longest running national dataset of fertility … datasets Knowledge of current best practice relating to information governance Experience Essential Extensive experience of working in a production environment encompassing change control and release management Extensive experience of statistical analysis in a healthcare or public-facing setting, preferably using administrative datasets Extensive experience in developing stored procedures and functions in SQL or similar Experience of Power BI 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 ❯

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 ❯

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 ❯

Business Intelligence Design, develop, and maintain dashboards and self-service reports to empower procurement teams with actionable insights. Manage data from multiple systems, ensuring integrity, consistency, and accessibility. Provide statistical analysis, modelling, and KPI reporting (weekly, monthly, and quarterly) to support decision-making. Drive the development of a data warehouse and ensure it remains accurate and up to More ❯

trends, technologies, and best practices. BASIC QUALIFICATIONS - 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. - Experience with theory and practice of information retrieval, data science More ❯

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 ❯

COMPANY We are working with a renowned business in the arts industry on a pivotal Analytics Manager hire. THE ROLE The successful Analytics Manager responsibilities will include: Lead the analysis of marketing campaigns (digital, offline, CRM) to measure ROI, effectiveness, and identify opportunities for optimisation. Build and maintain dashboards and reports that track key marketing KPIs (CAC, LTV, churn … conversion rates, attribution). Design and execute A/B tests and incrementality studies to assess marketing initiatives' impact. Develop statistical models and predictive analytics (e.g., customer segmentation, propensity modelling) to guide marketing strategy. Collaborate with Marketing and Finance teams to forecast marketing performance and support budget allocation decisions. Present actionable insights and recommendations to senior stakeholders, influencing marketing … experience: Proven experience in Marketing Analytics, or a similar analytical role. Strong proficiency in SQL for data extraction and manipulation. Solid experience with Python or R for advanced analytics, statistical analysis, and modelling. Hands-on experience with marketing performance tracking, ROI analysis, and attribution methodologies. Experience managing - This role will include 3 direct reports. Experience working in More ❯

will see you join the UK marketing and growth function while also being part of a global data and analytics team. You’ll be responsible for delivering high-quality analysis that drives commercial decision-making—working on everything from campaign evaluation and customer behaviour analysis to dashboard development and KPI tracking. Around 60% of your work will be … The remaining 40% will involve contributing to global data products and best practices, working alongside international colleagues to create scalable, high-impact analytics solutions. Key Responsibilities Conduct deep-dive analysis into marketing performance, customer acquisition, retention, and lifetime value. Evaluate campaign and promotional impact, assessing both short- and long-term revenue and retention effects. Extract, manipulate, and join data … commerce environments. Advanced SQL skills and experience with data visualisation tools. Experience of using dbt is a nice to have. Strong grasp of marketing metrics and ability to apply statistical analysis appropriately. Skilled in turning complex data into clear, commercially relevant insights for non-technical audiences. Proactive, self-sufficient, and comfortable managing end-to-end analysis projects. More ❯

will see you join the UK marketing and growth function while also being part of a global data and analytics team. You’ll be responsible for delivering high-quality analysis that drives commercial decision-making—working on everything from campaign evaluation and customer behaviour analysis to dashboard development and KPI tracking. Around 60% of your work will be … The remaining 40% will involve contributing to global data products and best practices, working alongside international colleagues to create scalable, high-impact analytics solutions. Key Responsibilities Conduct deep-dive analysis into marketing performance, customer acquisition, retention, and lifetime value. Evaluate campaign and promotional impact, assessing both short- and long-term revenue and retention effects. Extract, manipulate, and join data … commerce environments. Advanced SQL skills and experience with data visualisation tools. Experience of using dbt is a nice to have. Strong grasp of marketing metrics and ability to apply statistical analysis appropriately. Skilled in turning complex data into clear, commercially relevant insights for non-technical audiences. Proactive, self-sufficient, and comfortable managing end-to-end analysis projects. More ❯

will see you join the UK marketing and growth function while also being part of a global data and analytics team. You’ll be responsible for delivering high-quality analysis that drives commercial decision-making—working on everything from campaign evaluation and customer behaviour analysis to dashboard development and KPI tracking. Around 60% of your work will be … The remaining 40% will involve contributing to global data products and best practices, working alongside international colleagues to create scalable, high-impact analytics solutions. Key Responsibilities Conduct deep-dive analysis into marketing performance, customer acquisition, retention, and lifetime value. Evaluate campaign and promotional impact, assessing both short- and long-term revenue and retention effects. Extract, manipulate, and join data … commerce environments. Advanced SQL skills and experience with data visualisation tools. Experience of using dbt is a nice to have. Strong grasp of marketing metrics and ability to apply statistical analysis appropriately. Skilled in turning complex data into clear, commercially relevant insights for non-technical audiences. Proactive, self-sufficient, and comfortable managing end-to-end analysis projects. More ❯

will see you join the UK marketing and growth function while also being part of a global data and analytics team. You’ll be responsible for delivering high-quality analysis that drives commercial decision-making—working on everything from campaign evaluation and customer behaviour analysis to dashboard development and KPI tracking. Around 60% of your work will be … The remaining 40% will involve contributing to global data products and best practices, working alongside international colleagues to create scalable, high-impact analytics solutions. Key Responsibilities Conduct deep-dive analysis into marketing performance, customer acquisition, retention, and lifetime value. Evaluate campaign and promotional impact, assessing both short- and long-term revenue and retention effects. Extract, manipulate, and join data … commerce environments. Advanced SQL skills and experience with data visualisation tools. Experience of using dbt is a nice to have. Strong grasp of marketing metrics and ability to apply statistical analysis appropriately. Skilled in turning complex data into clear, commercially relevant insights for non-technical audiences. Proactive, self-sufficient, and comfortable managing end-to-end analysis projects. More ❯

strong relationships over time. Projects will be varied but could be anything from Data Modelling to address a specific business problem, Data Science & Machine Learning associated with electronic trading, statistical analysis of different financial data sets, data transformation advisory and consulting. What we are looking for : Degree level academics in Quant topic: Maths, Stats, Science etc Track record … of working on Data Science & Analysis projects ideally within Capital Markets, but open to individuals who have other aligned commercial experience You'll have a good knowledge of Python & associated libraries You'll have a good understanding of DataBase's & Data Base Managment SQL, Excel & a Data Visualisation tool preferred Initially the role will probably be around 50/ More ❯

Country Coordination: Partner with Cross Functional teams to ensure coordinated pricing strategies across expansion stores while adapting approaches to local competitive landscapes, regulatory requirements, and customer behaviors • Competitive Intelligence & Analysis: Monitor and analyze competitor pricing strategies across Belgium, Netherlands, Sweden, and Poland, providing actionable insights to inform pricing decisions and maintain competitive positioning • Process Optimization: Continuously improve automated pricing … across monitored stores, identifying trends and opportunities for improvement BASIC QUALIFICATIONS • Bachelor's degree in Economics, Finance, Business, Engineering, Mathematics, or related analytical field • Prior experience in pricing, business analysis, consulting, or related analytical roles • Proficiency in SQL and Excel, with demonstrated ability to manipulate and analyze large datasets • Strong analytical and problem-solving skills with experience in statistical analysis and data interpretation • Excellent written and verbal communication skills in English, with ability to present complex findings to senior leadership • Experience working with cross-functional teams and managing multiple projects simultaneously • Demonstrated ability to work independently and drive results in ambiguous, fast-paced environments PREFERRED QUALIFICATIONS • Master's degree in Economics, Finance, Business Administration, or related field More ❯

to gather requirements and translate them into actionable technical specifications. Oversee the development and maintenance of production-grade Python applications for machine learning and AI. Drive the application of statistical analysis and machine learning techniques to derive insights from large datasets. Guide the development of natural language processing (NLP) models to enhance user experience and automate processes. Utilize More ❯

or pharma/life sciences. You will work will directly influence compensation strategies that align with the fast-paced, innovative culture of the sector. What the role involves: Data Analysis & Insights – Utilise data analytics to build market compensation trends within each sector. Translate large datasets into actionable insights and providing clients with a clear understanding of their market positioning. … consulting with a focus on data advisory and benchmarking for the professional services, retail, manufacturing, tech, pharma/life sciences industries Strong analytical skills with proficiency in data modelling, statistical analysis and Excel. In-depth knowledge of compensation practices. Excellent communication and presentation skills, with the ability to translate data insights into actionable recommendations. Experience could be from More ❯

or pharma/life sciences. You will work will directly influence compensation strategies that align with the fast-paced, innovative culture of the sector. What the role involves: Data Analysis & Insights – Utilise data analytics to build market compensation trends within each sector. Translate large datasets into actionable insights and providing clients with a clear understanding of their market positioning. … consulting with a focus on data advisory and benchmarking for the professional services, retail, manufacturing, tech, pharma/life sciences industries Strong analytical skills with proficiency in data modelling, statistical analysis and Excel. In-depth knowledge of compensation practices. Excellent communication and presentation skills, with the ability to translate data insights into actionable recommendations. Experience could be from More ❯

of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. We are seeking research scientists with a demonstrated More ❯

Linux and embedded software development. Experience with machine learning software techniques and classification methodologies. Experience and understanding of C++. Experience with Python or another software scripting language. Mathematical and statistical analysis skills. More ❯

Linux and embedded software development. Experience with machine learning software techniques and classification methodologies. Experience and understanding of C++. Experience with Python or another software scripting language. Mathematical and statistical analysis skills. More ❯

from conception to deployment - Experience in applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts - Foundational knowledge of data modeling principles, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services More ❯

loved national newspapers. Take stock of their full range of advertising products. Carry out a range of analytical techniques & tests to identify opportunities for improvement. Take ownership of the analysis across all commercial products (display, video, mobile, programmatic, social, native), considering viewability, interaction, and engagement metrics. Create dashboards and deliver usable insights to help steer product roadmaps. Utilize tools … such as SQL, R, Hadoop, Excel to hypothesize and perform statistical analysis, AB tests, and experiments to measure the impact of product initiatives on revenue, technical performance, advertiser & reader engagement. Candidates should have analysis experience within the digital advertising industry and familiarity with various ad products. Salary circa £40-55k plus bonus & a strong benefits package. More ❯

on board. Key Responsibilities Support multiple projects across different areas, with a primary focus on emissions inventories and projections Contribute to proposal preparation, ensuring clarity and quality Conduct data analysis to inform project outcomes Develop and refine models to support research and insights Prepare high-quality reports for client delivery Ensure work quality and timely delivery on all tasks … Collaborate with consultants to align contributions with broader project goals Key Competencies and Experience Bachelors in science/mathematics/digital related subject. Experience of data processing and statistical analysis using functional programming languages such as Python or R. A strong interest and awareness of key environmental and climate change policies and issues. High accuracy and attention to More ❯

on board. Key Responsibilities Support multiple projects across different areas, with a primary focus on emissions inventories and projections Contribute to proposal preparation, ensuring clarity and quality Conduct data analysis to inform project outcomes Develop and refine models to support research and insights Prepare high-quality reports for client delivery Ensure work quality and timely delivery on all tasks … Collaborate with consultants to align contributions with broader project goals Key Competencies and Experience Bachelors in science/mathematics/digital related subject. Experience of data processing and statistical analysis using functional programming languages such as Python or R. A strong interest and awareness of key environmental and climate change policies and issues. High accuracy and attention to More ❯