Overview

PRICING/DATA SCIENTIST ANALYST | 30160

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.

Ref: 30160

  • Location: London or Leeds
  • Category: Data/Pricing
  • Type: Permanent

Overview

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

Qualifications required:

  • Strong numerical degree (or equivalent experience) with significant experience in pricing, data science, analytics, or a related field

Experience required:

  •  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

Consultant

Steve Stubbings

Business Director | Life & Non-Life Actuarial

T: +44 (0) 203 867 9821

Email me

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