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# Pricing data Scientist

- **Company:** Harnham
- **Location:** London, United Kingdom
- **Experience:** Expert
- **Salary:** £80,000 - £100,000
- **Contract:** Permanent contract
- **Skills:** Big Data, Python (Programming Language), Machine Learning, SQL Databases, Information Technology, Data Management
- **Published:** November 10, 2026
- **Apply:** https://www.reed.co.uk/jobs/pricing-data-scientist/57544866

## About the Role

* Strong commercial experience in risk pricing within personal lines insurance
 * Experience in motor insurance is highly desirable, although home, pet, travel, or similar insurance backgrounds will also be considered
 * Proven experience building predictive models in Python
 * Strong understanding of GLMs, with exposure to GBMs or other machine learning techniques being advantageous
 * Strong analytical skills with the ability to communicate findings to a range of stakeholders
 * Degree in a quantitative discipline such as Mathematics, Statistics, Economics, Physics, Engineering, or Computer Science, * Analytical Thinking
 * Big Data Technologies
 * Communication Skills
 * Innovation & Technology
 * Machine Learning
 * Mergers and Acquisitions
 * Pricing Strategy Development
 * Python Programming
 * SQL Databases
 * Stakeholder Management

## Description

This is an opportunity to join a specialist insurer undergoing a significant transformation across pricing, data, and technology. You'll play a key role in building new pricing capabilities, working on high-impact modelling projects, and helping shape the future direction of a growing function.
The Company
This established insurance business operates within the personal lines market and is investing heavily in its pricing and data capabilities. With ambitious growth plans and a strong focus on innovation, they are modernising their approach to pricing, analytics, and technology. The team is relatively small, offering excellent exposure to senior stakeholders and the opportunity to make a visible impact.
The Role

 * Develop and enhance risk pricing models using statistical and machine learning techniques
 * Build, validate, and monitor predictive models in Python
 * Deliver customer segmentation, conversion modelling, and pricing analytics projects
 * Support the development of a proprietary pricing and rating platform
 * Work closely with technical, commercial, and underwriting stakeholders to influence pricing decisions