7 of 7 Statistical Modelling Jobs in Lancashire

annum Location: UK Hybrid - With occasional travel to a hub Contract Type : Permanent (full time) Our Team IFRS9 and Stress Testing team work at the intersection of Data Science, Statistical Modelling and Economics within Virgin Money's Model Risk and Analytics function. We use data to support the business through model building used for regulatory reporting or providing … actionable insights from the data. We draw on statistical modelling techniques to produce the best possible predictive models. What you'll be doing Operate as a modelling expert across all modelling projects and wider business development within IFRS9 and ST team. Lead the scoping, design, development, validation and implementation of credit risk models for unsecured Retail … portfolios, in line with Bank standards and regulatory compliance requirements. Independently leading statistical analysis to ensure the unsecured Retail portfolios loss provision models currently in operation remain robust and fit for purpose. Leading key discussions and presenting analytical findings and solutions to a range of stakeholders both within and external to the modelling area. Provide first-class model 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 ❯

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 ❯

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 ❯

and software developers to ensure predictive models are seamlessly integrated into sensor platforms for rapid and reliable health assessments. Key responsibilities include: Design, develop, and validate machine learning and statistical models for analysing multimodal sensor data Optimise algorithms for deployment on embedded systems to support real-time health assessment. Collaborate with electronics engineers to interface machine learning models with … you: PhD or equivalent industrial experience in Computer Science, Data Science, Biomedical Engineering, Applied Mathematics, or a closely related discipline with a focus on machine learning or data-driven modelling Proven expertise in developing, training, and validating machine learning and statistical models for predictive analytics and real-time data interpretation Demonstrated ability to integrate ML algorithms with sensor More ❯