PRICING/DATA SCIENTIST ANALYST | 30160

EngineeringFull-time

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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