Role Title Senior Pricing and Data Science Analyst (UK&I)
Location: London (Hybrid – 2 days per week on site)
Contract: Permanent
Working Pattern: Full Time
Salary: £45,000 - £60,000 (DOE)
The Senior Pricing and Data Science Analyst will lead the delivery of complex, system-driven pricing and analytical solutions across our International portfolio. This role combines advanced modelling, pricing expertise, and oversight of pricing systems to shape strategy, strengthen governance, and enhance analytical capability. Operating with a high degree of autonomy, you’ll own end-to-end initiatives, influence senior stakeholders, and provide technical leadership and mentorship across the function
As our new Senior Pricing and Data Science Analyst (UK&I), you will also:
- Develop and enhance pricing models, emulators, and analytical tools to deliver accurate, robust, and explainable outputs.
- Lead system-driven pricing initiatives, working cross-functionally to productionise models and implement changes safely and efficiently.
- Deliver clear, impactful insights and pricing recommendations to senior stakeholders and governance forums.
- Own renewal performance monitoring, providing detailed analysis against key KPIs and supporting performance tracking.
- Build and maintain pricing insight tools to support operational teams and inform delegated authorities.
- Analyse pricing variance and collaborate with underwriting to guide discount strategy and governance.
- Design tools and frameworks to support pricing decisions for high-value and high-risk segments.
- Apply advanced analytics, including elasticity modelling, to inform pricing strategy and planning.
- Partner with underwriting and commercial teams throughout planning cycles to enable data-driven decisions.
- Provide technical mentorship and support to junior analysts, contributing to overall team capability.
We are looking for:
- Strong numerical degree (or equivalent experience) with significant experience in pricing, data science, analytics, or a related field
- Strong understanding of pricing, analytics, and data science principles, with proven application in a commercial environment
- Advanced Excel skills (modelling, pivots, VBA) and strong SQL capability, with experience working with large, complex datasets
- Experience developing pricing systems, emulators, or analytical tools
- Experience with statistical and predictive modelling techniques (e.g. regression, GLMs), or a strong interest in developing expertise in these areas
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