Pricing/Data Scientist Analyst

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.

• Location: London or Leeds UK
• Type: Permanent

Key responsibilities including but not limited to the following:

• 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
• 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
• Good understanding of governance, model risk, and change control within a regulated environment
• Proven ability to influence senior stakeholders and present effectively at governance forums
• Demonstrated commitment to continuous professional development

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