1 to 25 of 75 Permanent Statistical Modelling Jobs in England

seeking a Senior Data Scientist with a strong background in Biostatistics to help leading life sciences and pharmaceutical organisations modernise and scale their statistical modelling capabilities. This role combines statistical expertise with modern data engineering practices, enabling the development of robust, reproducible, and production-ready analytical solutions. … work closely with biostatisticians, data scientists, and technical stakeholders to improve modelling approaches and deploy scalable solutions within cloud-based environments. Key Responsibilities Partner with biostatisticians and cross-functional teams to enhance statistical modelling methodologies Design and develop scalable R-based modelling workflows and packages Implement ...

United Kingdom (Hybrid) 🕘 Full-Time About the Role The Senior Sports Quantitative Modeller understands that successful sports products are built on robust mathematics, accurate modelling, and continuous innovation. This is a highly specialised role sitting at the intersection of quantitative research, statistical modelling, and sports analytics. … power sports betting markets, with a particular focus on deriving new markets and improving existing offerings. We're looking for someone who combines deep statistical expertise with strong commercial awareness and a passion for solving complex problems. You'll operate with a high degree of autonomy, leading modelling ...

Instagram and X! Your New Role... We are looking for the Advanced Analytics Lead who will be responsible for owning, developing and delivering advanced statistical and regression-based analytics that underpin a new measurement solution within the Audiences & Data portfolio. This role sits at the intersection of statistical modelling, insight generation and commercial application. The successful candidate will be the analytical authority on how perception, brand and influence data are modelled, interpreted and translated into robust, defensible insight for clients and internal stakeholders. This is a hands-on senior analytics role, requiring deep expertise in regression ...

seeking a Senior Data Scientist with a strong background in Biostatistics to help leading life sciences and pharmaceutical organisations modernise and scale their statistical modelling capabilities. This role combines statistical expertise with modern data engineering practices, enabling the development of robust, reproducible, and production-ready analytical solutions. … work closely with biostatisticians, data scientists, and technical stakeholders to improve modelling approaches and deploy scalable solutions within cloud-based environments. Key Responsibilities Partner with biostatisticians and cross-functional teams to enhance statistical modelling methodologies Design and develop scalable R-based modelling workflows and packages Implement ...

ensuring transparency, traceability, and actionable insights. Overseeing data architecture, tooling, and platforms to support analytics, reporting, and resilience decision-making. Leading advanced data analysis, statistical modelling, and machine learning initiatives to extract insights and improve resilience outcomes. Acting as the key interface between business, risk, and technology, translating … degree or professional certifications in Data Science, Analytics, or Risk Management (Preferred). Languages English (Required). Hard Skills Strong expertise in data analytics, statistical modelling, and machine learning techniques (Required). Advanced knowledge of data engineering (ETL/ELT, data pipelines, data integration) (Required). Experience with ...

intricate business challenges and translation into technical problem statements, working with diverse datasets (internal and external), and expert application of advanced machine learning or statistical modelling techniques to generate actionable insights and measurable impact. Provide hands‐on technical mentorship and guidance to junior and mid‐level data scientists … data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree‐based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative ...

multiple leading brands and charities helping to transition manual workflows into scalable, automated, production ready systems, building innovative tools which strengthen the marketing mix modelling and econometrics capabilities. What you'll do Maintain and enhance core Python modelling tools for Marketing Effectiveness Migrate manual workflows into automated production … peer code reviews You'll need to have Strong Python engineering skills (clean, modular, production-ready code) Experience in data science, including ML/statistical modelling for MMM and econometrics Strong SQL for data extraction and analysis Solid understanding of software engineering fundamentals (Git, agile workflows) Ability ...

sector organisations to extract high-value insights through advanced scientific methodologies. We are seeking Senior Consultants who can bridge the gap between complex mathematical modelling and strategic business outcomes, with a specific focus on the emerging frontier of Agentic and Generative AI. The Mandate: Agentic AI & Advanced Analytic sThis … moving beyond standard analytics to implement Agentic AI solutions that automate complex reasoning and decision-making tasks. The mandate requires a deep understanding of statistical modelling, natural language processing (NLP), and time-series analysis, combined with the ability to demonstrate the tangible business value of AI to senior ...

transforms complex, cross‐channel data into strategic insights and measurable business impact. You’ll shape the technical direction for advanced analytics initiatives, driving sophisticated modelling, experimentation, and data infrastructure capabilities that support smarter decision‐making across the organization. Operating at the intersection of data science, marketing, and business strategy … experimentation frameworks, including geo‐based and holdout incrementality testing, to rigorously validate marketing investment decisions at scale Evolve the organisation's Marketing Mix Modelling (MMM) capability, including model development, calibration, and translation into actionable budget allocation recommendations for senior leadership Develop sophisticated statistical models such as LTV prediction ...

authority and operator data Develop high-quality dashboards, reports and data visualisations using tools such as Excel, Power BI, GIS, Python or R Apply statistical and analytical techniques to support forecasting, modelling and scenario analysis Build and maintain robust evidence bases to support key strategies, including the Mayor … visualisation tools such as Excel, Power BI, Python, R or SQL Proven ability to work with large and complex datasets, applying analytical and statistical techniques Experience developing dashboards, automated reports and repeatable analytical processes Experience using GIS software for spatial analysis and mapping Strong problem-solving skills and attention ...

support commercial performance and strategic decision-making. Ensure data accuracy, consistency and integrity across reporting processes. Data Analysis & Commercial Insight Conduct detailed analysis and statistical modelling to identify patterns, trends and anomalies across the business, including but not limited to: Category performance and trend analysis Promotional and campaign … effectiveness Seasonal trend analysis and forecasting Claims trend identification and recommendation of corrective actions Budget modelling and forecasting support Proactive sales performance analysis Private Label performance analysis by market to identify growth opportunities Identification of new business and market opportunities Reporting & Dashboard Development Develop and maintain automated reports ...

producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity … contribution to the enhancement of Sagacity’s data science and analytics product suite Competencies and Experience 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate ...

community. There is only one Hotspur. Tottenham Hotspur. Role Purpose The Lead Data Scientist is responsible for leading the development and refinement of advanced statistical models and machine learning techniques, creating innovative metrics and diverse insights that enhance the analysis of player and team performance. They will be exploring … analysis, coaching, and the Academy to translate research into on-pitch impact in pursuit of the Clubs ambitious footballing vision. Key Responsibilities Develop advanced statistical and machine learning models to generate innovative metrics and insights from varied and complex data sources, enhancing the understanding of player and team performance. ...

today focuses on developing and deploying analytical tools and web-based products that support forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on delivering tangible business outcomes. As demand for digital and AI-enabled ...

site each month. however, remote options will be considered for the right candidate. What you can expect from the Role Advanced Analytics and Modelling Develop predictive models (e.g. customer lifetime value, propensity, response modelling) Apply segmentation and clustering techniques to refine customer targeting Build attribution and measurement frameworks … engagement, revenue and profitability Collaboration & Capability Building Act as a technical expert within the analytics team, supporting analysts and stakeholders Promote best practice in statistical methods, experimentation and modelling Contribute to building a data-driven culture across the business What we expect from you Proven experience in Data ...

databases (SQL Server, PostgreSQL, Oracle, MySQL) Data visualisation tools (Power BI, Tableau, Spotfire) Cloud platforms, particularly Microsoft Azure Big data technologies (Spark, Elasticsearch, Hadoop) Statistical modelling and advanced analytics Machine learning and pattern recognition techniques Web technologies such as HTML and JavaScript ...

through data-driven insight and technical modelling. You'll work closely with experienced pricing specialists and cross-functional teams, supporting live pricing decisions through modelling, forecasting, optimisation and analysis. The Role As a Technical Pricing Analyst, you'll be involved in: Building and enhancing pricing models to predict customer … optimisation activity Developing forecasting models and monitoring performance against forecasts Preparing, validating and reconciling datasets to support robust pricing analysis Exploring new data sources, modelling techniques and analytical tools Monitoring model performance and recommending improvements where required Working closely with Pricing, Finance, Marketing, Insights and Compliance teams Supporting pricing ...

join our growing Data & Technology team. This role offers the opportunity to work on a diverse range of projects, including advanced analytics, predictive modelling, machine learning, business intelligence, and process optimisation. A key part of the role will involve supporting the implementation of Oracle ERP and Warehouse Management Systems … innovation. • Support the implementation of Oracle ERP and WMS, contributing to data migration, reporting design, data structures, and system integrations. • Develop predictive analytics and statistical models to optimise business processes and improve operational efficiency. • Work alongside software developers to create intelligent, data-driven applications and systems. • Maintain and improve ...

driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast ...

bring Strong track record delivering end-to-end data science solutions (preferably B2C) in cloud environments. Deep expertise in machine learning and statistical modelling, with proven impact in areas like personalisation, churn, pricing, and optimisation. Ability to quickly understand a business objective, problem solve to create an analytical ...

deployment.Strong Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn).Solid understanding of probability and statistical modeling to support robust model development and interpretation.Experience with cloud platforms (especially Azure and/or AWS) and modern deployment practices for scalable ...

Financial Engineering, Computer Science, or a related field. Strong understanding of derivatives markets, including futures and options pricing, volatility surface construction, Greeks, and curve modelling techniques. Knowledge of risk methodologies, including Value-at-Risk (VaR), Expected Shortfall (ES), liquidity risk, concentration risk, and counterparty credit risk. Advanced Python programming … Experience with C/C++ or other high-performance programming languages. Familiarity with digital assets, cryptocurrency derivatives, or blockchain technologies. Experience applying machine learning, statistical modelling, or advanced data science techniques to financial markets. Experience leveraging AI tools, agentic AI platforms, or AI-assisted development workflows to enhance ...

data from the largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...

Data Scientist. This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply … mathematical and statistical methods appropriately. Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help ...