1 to 25 of 132 Permanent Statistical Modelling Jobs in England

Are you an experienced statistical/modeller with strong SAS programming skills This role offers the perfect blend of hands-on model development, governance, and the opportunity to shape how statistical models are built and managed across the business. You’ll play a key role in reviewing and strengthening existing models and frameworks , ensuring robust governance and best … practice. As the team evolves, you’ll move into hands-on model design and development , building and refining statistical models in SAS — including propensity , sentiment , behavioural , density , and survival models . Key Requirements: Strong, hands-on SAS programming experience – essential Proven experience in statistical or predictive modelling (any industry background) Ability to design, build, and validate models … such as propensity , sentiment , or survival models Experience in model oversight, validation, or governance Strong STEM related education Analytical mindset with a drive to challenge and improve modelling frameworks Comfortable working both independently and collaboratively in a changing environment This is a great opportunity to join a business investing heavily in analytics, where you’ll have real influence over More ❯

of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact. Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering best practices, elevating … Skills: Exceptional proficiency in Python (and R) for 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 AI, Large Language More ❯

of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact. Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering best practices, elevating … Skills: Exceptional proficiency in Python (and R) for 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 AI, Large Language More ❯

safely and with less environmental impact. .# Job Description # Key Responsibilities May Include: Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machine learning algorithms. Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable. Drive continuous … and resource allocation. Contribute to the creation of business cases by quantifying the impact of data science solutions on supply chain KPIs and financial outcomes. Focus on data science modelling in close collaboration with the Data Engineering team, which is responsible for data wrangling, clean-up, and transformation to provide high-quality data for analysis. Experience: Proven track record … designing, developing, and deploying advanced machine learning and statistical models in complex supply chain environments. Extensive hands-on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate … learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge … Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies. Additional Skills: Marketing Mix Modelling (MMM): Build and maintain complex MMM models to assess the incremental impact More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate … learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science:Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge … Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies. Additional Skills: Marketing Mix Modelling (MMM): Build and maintain complex MMM models to assess the incremental impact More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate … learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science:Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge … Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies. Additional Skills: Marketing Mix Modelling (MMM): Build and maintain complex MMM models to assess the incremental impact More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate … learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science:Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge … Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies. Additional Skills: Marketing Mix Modelling (MMM): Build and maintain complex MMM models to assess the incremental impact More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate … learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science:Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge … Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies. Additional Skills: Marketing Mix Modelling (MMM): Build and maintain complex MMM models to assess the incremental impact More ❯

strategy, and optimise commercial performance. This is a high-impact role for a proactive, solutions-oriented professional who can prioritise based on business needs. Key Responsibilities: Deliver analytics and statistical modelling to shape commercial strategy and support measurable business outcomes. Prepare sales and product forecasts, including OTE projections, to aid planning and resource allocation. Track, analyse, and report … like you to have: 37 years of experience in data analytics, business intelligence, or commercial analysis. Strong proficiency in Excel and experience with BI platforms (Power BI, Tableau) and statistical modeling. Ability to translate data insights into actionable recommendations for sales, finance, and product teams. Commercial awareness, analytical mindset, and strong problem-solving skills. Excellent communication and stakeholder management More ❯

ensuring data integrity, completeness, and real-time availability. You will establish robust monitoring and alerting mechanisms to proactively surface issues and maintain seamless operations at scale. Harness advanced analytics, statistical modeling, and AI/ML tools to extract transformative insights. Your strategic analyses will uncover root causes, influence high-stakes decisions, and inform the executive roadmap with clarity and More ❯

mentorship and professional development opportunities for team members. Communicate findings and actionable insights to senior leadership and key stakeholders. Select and apply the most appropriate analysis, data science and statistical techniques given the research objectives and the data Develop appropriate analytical methods in firm-based risk assessment and thematic risks Provide internal consultancy across Directorates and Programmes on analytical … sector. Profile A successful Head of Data Science should have: Proven experience in data science and analytics, ideally within the public sector or regulatory body. A strong background in statistical modelling, machine learning, and data visualisation tools Expert use of standard statistical tools e.g. R/Python and relevant associated libraries Deep expertise in building and maintaining More ❯

mentorship and professional development opportunities for team members. Communicate findings and actionable insights to senior leadership and key stakeholders. Select and apply the most appropriate analysis, data science and statistical techniques given the research objectives and the data Develop appropriate analytical methods in firm-based risk assessment and thematic risks Provide internal consultancy across Directorates and Programmes on analytical … sector. Profile A successful Head of Data Science should have: Proven experience in data science and analytics, ideally within the public sector or regulatory body. A strong background in statistical modelling, machine learning, and data visualisation tools Expert use of standard statistical tools e.g. R/Python and relevant associated libraries Deep expertise in building and maintaining More ❯

mentorship and professional development opportunities for team members. Communicate findings and actionable insights to senior leadership and key stakeholders. Select and apply the most appropriate analysis, data science and statistical techniques given the research objectives and the data Develop appropriate analytical methods in firm-based risk assessment and thematic risks Provide internal consultancy across Directorates and Programmes on analytical … sector. Profile A successful Head of Data Science should have: Proven experience in data science and analytics, ideally within the public sector or regulatory body. A strong background in statistical modelling, machine learning, and data visualisation tools Expert use of standard statistical tools e.g. R/Python and relevant associated libraries Deep expertise in building and maintaining More ❯

Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines More ❯

Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines More ❯

or Winnersh office. As a Marketing Data Scientist, you will: Build and deploy predictive models to improve campaign targeting, lead scoring, customer segmentation, and churn mitigation strategies. Apply advanced statistical and mathematical techniques to enhance audience segmentation and optimise conversion funnels. Operationalise models globally, ensuring seamless adoption and maintaining performance benchmarks. Design, execute, and analyse experiments such as A …/B testing and uplift modelling to measure and optimise marketing effectiveness. Translate complex data into actionable insights that inform marketing strategies and go-to-market decisions. Deliver impactful dashboards, reports, and presentations tailored to stakeholders across different business functions. Collaborate with data engineering teams to improve marketing data infrastructure, ensuring quality, accessibility, and scalability. Essential Skills & Experience Degree … in Data Science, Statistics, Computer Science, Mathematics, or a related discipline. Experience in data science or advanced analytics, ideally within marketing or commercial settings. Strong understanding of statistical modelling, machine learning techniques, and experimental design. Proficiency in Python or R, SQL, and data visualisation tools. Excellent communication skills with the ability to influence non-technical stakeholders. Strategic thinker More ❯

identify and monitor key drivers and characteristics of claims, feeding back into underwriting performance Operational analytics - work with the claims team to help optimise claims processes for example resource modelling and improvement of MI/KPI reporting Lead the development of the claims analytics framework for Markel International Develop a comprehensive understanding of local business lines, market practices, claims … meetings as the need arises. Our must-haves: Strong experience in translating complex business requirements into actionable analytical models that deliver insights Extensive experience in data science techniques including statistical modelling, machine learning algorithms, and AI. Comfortable with model development, validation, deployment, and performance monitoring. Advanced programming skills in Python or R and experience with SQL. Experience with More ❯

for the team, working across risk assessment, data science, and research functions. Champion a culture of curiosity, experimentation, and continuous improvement. Technical Excellence & Delivery Oversee the use of advanced statistical modelling, AI, and machine learning methods (including NLP and LLMs) to deliver high-quality insights. Ensure outputs are defensible, high-quality, and accessible to both technical and non … social science, physics, or other relevant discipline. Proven experience managing a pipeline of analytical work and aligning outputs with organisational priorities. Expertise in AI/ML techniques, including predictive modelling, NLP, and large language models. Proficiency in Python, R, and relevant libraries for data analysis and modelling. Demonstrated ability to balance rigour with practical application, clearly articulating both insights More ❯

Techniques and Technology Logical thinking and problem solving Stakeholder Management Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact Statistical Modelling and experience of applying data science into client problems. Experience in retail domain would be an added advantage What you can expect from us We won't More ❯

career the that of a 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 More ❯

career the that of a 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 More ❯

that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance measurement to validate impact Act … measurable impact, not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative More ❯

that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance measurement to validate impact Act … measurable impact, not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative More ❯

that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance measurement to validate impact Act … measurable impact, not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative More ❯