MOTOR INSURANCE PRICING PRACTITIONER / DATA SCIENTIST, London

Do you have very recent UK Insurance data experience? Hybrid working part City of London based - This leading and exciting Insurer are seeking a detail‑oriented and organised Motor Insurance Pricing/Data Practitioner to join their Pricing and Underwriting team.

To apply for this role you MUST have multiple years of experience working within a personal lines business within motor and or home products

They ve built the kind of pricing infrastructure every pricing professional aspires to work with:

• High-quality, accessible data
• A fast, flexible rating algorithm deploy changes in hours
• Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development
• An operating model that gives complete autonomy to pricing professionals to dream up an idea and get it live

If you're passionate about using data, tech, and creativity to push the boundaries of insurance pricing, we d love to hear from you.

This role focuses on end-to-end customer pricing, covering both risk and margin for the Insurer. It is a highly autonomous role within a specialized team.

• Optimization: Identify pricing opportunities across segments to maximize profitability and market competitiveness.
• Innovation: Develop new features, tools, and models for advanced pricing sophistication.
• Monitoring: Analyse claims performance to ensure accurate calibration, especially regarding inflation and trends.
• Automation: Build automated processes to improve operational efficiency.

• Extensive skills within Motor Insurance Pricing and Data
• Commercial Mindset: Motivated by driving tangible business value through data-driven decisions.
• Technical Proficiency: Skilled in data analysis and modelling techniques.
• Requires experience with analytical tools (e.g., Python, SQL, R) and a background in insurance pricing or data science.

The company are offering an impressive salary and benefits package and this is an exciting time to join this highly progressive Insurer.