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Pricing​/Data Scientist Analyst

Job in London, Lane County, Oregon, USA
Listing for: The Emerald Group Ltd, Search and Selection
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: PRICING/DATA SCIENTIST ANALYST | 30160
Location: London

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 product ionise 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
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