Senior Data Scientist

As a Senior Data Scientist you will join a specialist team focused on developing innovative approaches to customer risk assessment and pricing.

Specifically, you can expect to be involved in the following:

• Building and deploying predictive machine learning models that improve pricing and customer selection strategies
• Exploring and evaluating new data sources to identify commercial opportunities
• Developing geospatial and footprint models using alternative datasets
• Creating residual and claims-related models to improve business performance
• Working with large, complex, and often unstructured datasets
• Taking ownership of projects from problem definition through to delivery
• Mentoring and supporting junior team members

The successful Senior Data Scientist will have the following skills and experience:

• Strong commercial experience delivering machine learning and predictive modelling projects
• Advanced Python and SQL skills
• Experience working with large and complex datasets
• Knowledge of machine learning techniques such as XGBoost, CatBoost, or related models
• Experience working in cloud-based environments, ideally Azure
• Strong stakeholder management and communication skills
• Ability to translate business challenges into analytical solutions
• Experience within insurance is valuable but not essential

The successful Senior Data Scientist will receive the following benefits:

• Salary between £60,000 - £75,000 - depending on experience
• £5000 annual car allowance
• Performance bonus scheme with on-target bonus and enhanced earning potential
• 10% matched pension contribution
• 27 days annual leave plus bank holidays
• Private medical insurance
• And other benefits

They are a market-leading digital organisation with a strong reputation for using data and analytics to drive business performance. Having invested heavily in their data science capabilities, they continue to expand a high-performing analytics community that values curiosity, experimentation, and collaboration.