9 of 9 Statistical Modelling Jobs in the South West

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 ❯

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 ❯

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 ❯

If you're a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation, and you're excited about shaping the future of data in a cloud-first environment, we want to hear from you! This is a fantastic opportunity to join our client at the start … exciting time to be part of its data science team. The role. We are looking for a Senior Data Scientist with expertise in predictive modelling, segmentation, and data automation. You will Lead and optimize automated reporting pipelines, ensuring high performance and quality assurance. Build and deploy predictive models, enhancing … customer behaviour forecasting and operational insights. Maintain and further develop pricing analytics models and web applications for internal stakeholders. Drive segmentation modelling projects, improving customer targeting and personalization strategies. Develop and refine data pipelines and ETL processes, enabling efficient data integration into Azure Synapse & Fabric. Play a key role More ❯

quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools and approaches to support organisational commitments. Manage competing demands for Data More ❯

corrective measures. Continuously improve data collection and analytical methods to drive efficiency and accuracy. Produce comprehensive data reports for stakeholders across the business. Data Modelling & Optimisation Collaborate with stakeholders to develop and interpret data models supporting cost-efficiency and improved operational outcomes. Lead quality improvement initiatives through robust data … Power BI. Skilled in Python for data simulation and optimisation modelling. Strong knowledge of data warehousing, analytics platforms, and IT systems integration. Expertise in statistical analysis and data modelling techniques. Excellent communication and storytelling skills with the ability to translate complex data into business language. Proven stakeholder management More ❯

implement cutting-edge AI and ML solutions across our business. This is a unique opportunity to play a key role in integrating predictive analytics, statistical modeling, and automation to enhance operational efficiency, forecasting, and decision-making. Key Responsibilities AI & ML Implementation – Develop and deploy machine learning models to improve … operational efficiency, predictive maintenance, and demand forecasting. Predictive Analytics – Use statistical modeling and forecasting techniques to drive insights into production trends, supply chain optimization, and energy efficiency. Data-Driven Decision Making – Collaborate with senior stakeholders to translate business challenges into AI/ML-driven solutions that improve manufacturing processes … a related field Technical Skills – Strong knowledge of Python, SQL, TensorFlow, Scikit-learn, Pandas, NumPy , and experience with predictive analytics, time-series forecasting, and statistical modeling . Business & Strategy – Ability to engage with senior stakeholders , understand business needs, and align AI strategies with company goals. Problem-Solving Mindset – A More ❯

an enterprise environment: Develop professional quality R packages; Provide consultancy on Biostats model development and deployment best practices; Review and optimise code, integrate existing modelling code into packages; Design and implement end to end modelling and deployment process on Databricks; Support and collaborate with adjacent teams (e.g. products … IT) to integrate the modelling solution; Continually innovate with the team and the customer on using modern tooling to improve model development and deployment; Skills and Experience A successful candidate will have demonstrated these experiences: A background or work experience in biostatistics or a similar discipline; Strong R programming … and R package development; Statistical model deployment, and end-to-end MLOps is nice to have; Having worked extensively on cloud infrastructure, preferably Databricks and Azure; Shiny development is nice to have; Can work with customer stakeholders to understand business processes and workflows, and can design solutions to optimize More ❯

with a leading Personal Lines Insurer who are seeking a Technical Pricing Manager. The successful candidate will be responsible for the production of specialist statistical risk models across a range of products. As a Technical Pricing Manager , you’ll drive strategic change by enhancing model sophistication and leveraging the … support profitable business growth. Key Responsibilities: Develop and refine complex actuarial models to deliver high-impact, innovative pricing solutions Conduct ad-hoc actuarial and statistical analyses, working with stakeholders across the business to address diverse challenges Produce reports, documentation, and presentations to effectively communicate statistical models and insights … to key stakeholders Requirements: Proficiency in data science techniques using Python or R Expertise in statistical analysis software, with knowledge of Willis Towers Watson (Emblem, Radar) being highly desirable Strong understanding of pricing and underwriting principles, preferably within personal or commercial lines at a large business scale Ability to More ❯