Pricing data Scientist
  • England,London,City of London
  • Full Time, Permanent
  • £80,000 - £100,000 per annum
Job Description:
Full job description

Pricing Data Scientist Remote (UK) | £80,000 - £100,000This 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 CompanyThis 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
Your Skills & Experience*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
How to ApplyTo learn more about this Pricing Data Scientist / Principal Pricing Analyst opportunity, please apply with your CV for a confidential discussion.
Job number 4312170
The jobs on site are for both men and women