Pricing data Scientist

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

• 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