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Pricing & Data Science Analyst

Job in Leeds, West Yorkshire, ME17, England, UK
Listing for: Medical Protection Society
Full Time, Part Time position
Listed on 2026-06-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
  • Finance & Banking
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Role Title Pricing and Data Science Analyst (UK&I)

Location: Leeds (Hybrid – 2 days per week on site)

Contract: Permanent

Working Pattern: Full Time

We’re looking for a Pricing & Data Science Analyst to join our team and help deliver data-driven pricing, modelling, and analytical solutions across our UK & Ireland portfolio.

This role offers the opportunity to work across the full pricing lifecycle — from data extraction and modelling through to implementation and monitoring — supporting sustainable growth, strong underwriting performance, and excellent member outcomes.

Responsibilities
  • Develop and maintain pricing models, data science solutions, and pricing systems (including emulators)
  • Extract, analyse, and interpret membership, claims, and financial data to inform pricing decisions
  • Support technical and retail pricing activities, including subscription setting and pricing reviews
  • Deliver clear, data-led insights and recommendations to pricing and governance forums
  • Monitor portfolio and model performance, identifying risks, trends, and opportunities for optimisation
  • Produce monthly renewal monitoring and performance analysis across key KPIs
  • Build and maintain pricing tools to support underwriting decisions and delegated authority frameworks
  • Apply predictive modelling techniques (e.g. GLMs) to enhance pricing accuracy and insight
  • Collaborate with cross-functional teams to product ionise models and deliver system changes
  • Support transformation initiatives and the development of future pricing frameworks and capabilities
Qualifications
  • Strong numerical degree (or equivalent analytical experience)
  • Solid understanding of pricing, analytics, and data science principles
  • Experience working with large, complex datasets
  • Coding capability (SQL, Python, R, or SAS)
  • Knowledge of statistical and predictive modelling techniques
  • Strong analytical thinking and problem-solving skills
  • Ability to communicate complex technical concepts to non-technical stakeholders
  • Experience delivering pricing or analytics work in a commercial or regulated environment
Benefits
  • Discretionary on-target bonus of 10%. Up to a max 20% based on performance
  • 11% pension contribution (3% from you, 8% from us – optional additional matched 3% contributions, e.g. 6% from you, 11% from us)
  • 25 days annual leave. Flexible public holidays and option to buy/sell additional leave
  • Private Medical Cover
  • Car Salary Sacrifice scheme
  • 6x salary death in service
  • Holistic health and wellbeing support package
  • A truly flexible hybrid-working arrangement
  • A culture that promotes inclusivity, wellbeing and rewards hard work
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