Pricing data Scientist

Harnham - Data & Analytics Recruitment Careers · South Bermondsey, England ·

Full-timeRemote
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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 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 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 Apply To learn more about this Pricing Data Scientist / Principal Pricing Analyst opportunity, please apply with your CV for a confidential discussion. ...

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