1 to 25 of 156 Statistical Modelling Jobs in the UK excluding London

/MMM capability across brands and markets ✅ Build and refine incremental testing tools for marketing measurement ✅ Mentor and develop analysts in MMM techniques and statistical modelling ✅ Work closely with Data, Martech, and Marketing teams to automate and scale data-driven insights ✅ Present findings across all levels—including C … agency or client-side) ✔ Strong knowledge of SQL, Python/R , and data visualization tools ( Tableau, Power BI, Looker ) ✔ Commercial experience in econometrics and statistical modelling for marketing analytics ✔ Ability to translate complex data into actionable business insights ✔ Passion for sports, marketing, and technology 🎯 What’s in It More ❯

data to build predictive models, extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. You will have access to the latest analytical tools and the chance to work with some of the most renowned Decision Data leaders … Access to Saga Academy, our bespoke learning platform Main Responsibilities Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting … languages such as Python and SQL. (A technical task will form part of the interview process.) Already be a credible expert in machine learning, statistical modelling and data analysis. Demonstrate excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders More ❯

our hospital's interactions in code, so that we can simulate and iterate our way through options together quickly and cheaply. Contribute to the modelling we do to support our annual planning process, which aims to achieve a 3-way balance between patient activity, budget, and available workforce. Build … Professional registration with relevant body (e.g. AphA) Experience Experience of applying Data Science techniques to real-world datasets (e.g. Machine Learning, Time Series Forecasting, Statistical Modelling, ). Experience of developing and maintaining code using Python, R, or similar Experience of using Git to collaboratively develop and maintain code. More ❯

data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). More ❯

data visualisation tools (eg, Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modelling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (eg, POS, CRM, supply chain More ❯

time series forecasting to help us predict key business metrics, drive strategic decision-making, and optimize operations. In this role, you'll apply advanced statistical methods and forecasting models to uncover trends and inform high-impact business strategies. What You'll Do: Develop and implement time series forecasting models More ❯

data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). More ❯

or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the … standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models … able to recruit and develop a strong team Good communication skills, both verbal and written Good time management and organisation skills Proven analytical and statistical modelling skills Degree in Data Science or other quantitative field Behaviours Self-motivated and enthusiastic with the desire to meet or exceed targets More ❯

or areas for improvement Grow the impact of Data Science across the Group, increase the number of deployed solutions, identify previously unexplored areas of modelling or analysis Role model best practice, with focuses on efficiency and long term success Monitor the latest techniques and solutions being utilised in the … standards/regulations at all times. Any other reasonable duties Experience & knowledge Extensive hands-on experience applying data science techniques to general insurance predictive modelling problems Strong track record of stakeholder management, modelling projects and successful deployment Deep understanding and familiarity with a variety of statistical models … able to recruit and develop a strong team Good communication skills, both verbal and written Good time management and organisation skills Proven analytical and statistical modelling skills Degree in Data Science or other quantitative field Behaviours Self-motivated and enthusiastic with the desire to meet or exceed targets More ❯

bias towards action in resolving issues and operate in a high-energy, fast-paced environment Hands on experience in A/B testing and statistical modeling/forecasting Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees More ❯

Proficiency in data manipulation and analysis (e.g., Pandas, NumPy, Spark). • Knowledge of data visualization tools (e.g., Power BI, Tableau, Matplotlib). • Understanding of statistical modelling, hypothesis testing, and A/B testing. • Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies. • Ability to translate … complex data into actionable insights for non-technical audiences. Key Responsibilities • Collect, process, and analyse large datasets to generate actionable insights. • Apply statistical methods, machine learning models, and AI techniques to solve business problems. • Develop data visualizations and dashboards to communicate findings clearly. • Collaborate with software engineers, product teams More ❯

design. Key Responsibilities Develop and implement machine learning models for analyzing complex biological and genomic datasets. Apply deep learning, natural language processing (NLP), and statistical modeling techniques to solve key challenges in drug discovery and development. Work closely with computational biologists, bioinformaticians, and wet-lab scientists to integrate AI More ❯

or equivalent and advanced degree. Strong knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level compiled languages such as C/C++. Proficiency in SQL. Ability to More ❯

AI, Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle with a strong foundation in applying statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. Keen to demonstrate the potential that Gen AI has More ❯

skills cover a range of languages, including Java, C#, C++, Python and R. Day to day work will involve working with our teams of statistical researchers and product owners to create, maintain and optimise mostly R and C++ code that runs as part of our mathematical models. You'll … sport, as a company we're passionate about social responsibility, sustainability, and employee well-being. About us We are one of the largest commercial statistical research teams in Europe and a leader in the field of the application of statistical modelling in sports. We maintain statistical … A can-do attitude, passion for problem-solving and a knack for finding elegant solutions. Beneficial skills: C++, SQL, experience with understanding statistics and statistical models. Our Recruitment Process The recruitment process involves an initial video interview followed by a workshop-style part-day of interviews in-person at More ❯

or virology Master’s degree or equivalent experience in bioinformatics/computational biology Proficiency in Python and/or R for biological data analysis, statistical modelling, and data visualisation Communication of complex information to both technical and non-specialist audiences Enthusiastic attitude and eagerness to learn and implement More ❯

skills cover a range of languages, including Java, C#, C++, Python, and R. Day-to-day work will involve working with our teams of statistical researchers and product owners to create, maintain, and optimise mainly R and C++ code that runs as part of our mathematical models. You will … sport, as a company we're passionate about social responsibility, sustainability, and employee well-being. About us We are one of the largest commercial statistical research teams in Europe and a leader in the field of the application of statistical modelling in sports. We maintain statistical More ❯

and working with operational datasets; quick to adapt to technical challenges. Proficient in Excel, Power Query, SQL, and Power BI; experience with Python and statistical modelling is advantageous. Skilled in learning new tools and technologies; familiarity with Azure Data Factory and building data pipelines is a plus. Confident More ❯

or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and data preprocessing. Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker). Strong problem-solving and communication skills. Desirable More ❯

large image datasets Knowledge of modern data warehousing and data lake technologies Practical experience with Python, R, and ML frameworks (PyTorch and Tensorflow) and statistical methods Linux system administration AWS and GCP administration Experience with GPU cluster and Linux server administration Desirable PhD in medical image analysis Working knowledge … of the DICOM standard, volume reconstruction, 3D rendering techniques, statistical modelling Experience with AI model training pipelines and architectures (transformers, diffusion models etc) Understanding of fundamental statistical concepts (p-values, effect sizes and confidence intervals) Experience with MLOps methodologies Experience with version control (e.g. GitLab, DVC) Experience More ❯

care. What Were Looking For 34+ years' experience in data analysis, preferably with exposure to health or social care environments. Proven ability to conduct statistical modelling, indicator development and create powerful visualisations. Experience handling large, complex datasets (structured and unstructured) using tools like Power BI, SQL, R, Python More ❯

We’re Looking For 3–4+ years' experience in data analysis, preferably with exposure to health or social care environments. Proven ability to conduct statistical modelling, indicator development and create powerful visualisations. Experience handling large, complex datasets (structured and unstructured) using tools like Power BI, SQL, R, Python More ❯

continually looking to improve data and processes Working with different teams and stakeholders to achieve an understanding of their needs, data requirements and expected modelling outcomes Getting hands-on with data from its source right through to modelling and then implementation in rating Analysing data, interpreting output and … communicating results to a non-technical audience Building and testing Statistical models and machine learning algorithms Working with Data Enrichment team to obtain and use third-party and internally-generated data sources to enhance models Supporting the business in the deployment of its data solution Assisting in coaching and … t expect you to know everything from day one, but the following will enable you to hit the ground running: Solid knowledge of relevant statistical modelling methods - in particular GLMs Knowledge of relevant machine learning techniques - in particular GBMs Proven experience in working with large data sources Good More ❯

data from various sources to uncover trends and insights that inform key business strategies across finance, retail, and healthcare sectors. Support decision-making : Use statistical methods and predictive models to assist clients in making data-driven decisions that improve their performance and efficiency. Create data visualisations : Design and maintain … finance, retail, or healthcare, and familiarity with sector-specific data challenges. Exposure to advanced analytics : Knowledge of machine learning techniques, predictive modeling, or advanced statistical analysis. Problem-solving approach : A proactive, solution-oriented mindset, with the ability to think critically and creatively. The Benefits: Diverse projects : Gain experience working More ❯

standards for excellence. Reporting directly to the Director of Data, you will oversee the execution of high-impact projects, covering areas such as predictive modelling, customer lifetime value and segmentation, bidding optimisation, and advanced experimentation. You will act as a data lead for key clients, taking responsibility for technical … related projects are delivered effectively and drive meaningful results. About you: You are an experienced data scientist with a strong background in machine learning, statistical modelling, and optimisation techniques. You thrive in fast-paced environments and have a proven track record of delivering data-driven solutions that create … marketing analytics, including platforms like Google Ads, Meta Ads, and Google Analytics. Have worked on projects such as: Customer Lifetime Value (CLV) modelling. Propensity modelling and lead scoring. Budget allocation and bidding optimisation. Experimentation frameworks, A/B testing, causal inference, and Marketing Mix Modelling (MMM). Advanced More ❯