We're seeking a Data Science Lead to join our established and growing Pricing & Analytics team for Automotive Protection's global business, helping to strengthen our pricing and predictive modelling capabilities.
Requirements
- Act as the technical lead for transitioning our GLM pricing models to Python and developing our machine learning capability
- Work closely with the Senior Analyst Manager to shape Automotive Protection's data science strategy, identify high-value opportunities, and deliver analytical solutions that directly influence global decision-making
- Develop and implement analytical models that support pricing, identify fraud, improve retention and renewals, and drive profitable growth
- Collaborate with analyst team to build, monitor, and refresh predictive models as needed
- Design and enhance analytics that generate actionable insights and support business decisions
- Ensure all models meet regulatory standards, follow best-practice governance, and are well documented
- Present findings clearly and confidently to diverse audiences, ensuring insights are understood and actionable
- Collaborate across functions, including with clients, senior stakeholders, and wider business teams
Benefits
- 30 days holiday a year with the option to buy up to 2 additional days
- Flexible working - balancing work and life is important so our flexible working opportunities are open to all, this can include part-time, job share and compressed hours
- Pension – you are automatically enrolled into the QBE pension plan, which entitles you to receive employer contributions of 10% of your basic salary
- Private medical insurance – we fund fully comprehensive private medical cover for you and all the family
- Family friendly policies – we offer 26 weeks leave at full pay regardless of gender identity, sexual orientation or how you become a parent
- Short term remote work abroad - you can request up to 20 days per year to work remotely from certain locations abroad
- Sustainable investing - we believe sustainable integration is important for long term financial, environmental, and social outcomes
- Cycle-to-Work – benefit from regular exercise whilst making your commute greener and cheaper, select and bike and/or accessories up to the value of £5,000
