Lead Pricing Scientist

Key responsibilities, including but not limited to:

Working closely with colleagues across Distribution, Proposition, Operations, Data and Technology teams, you will lead the development of pricing science capability. You will develop and enhance pricing models, deliver commercial insights, identify opportunities to improve pricing sophistication and automation, and support the evolution of next-generation pricing solutions while maintaining robust governance and controls

You will lead the development and optimisation of pricing across portfolio’s

Own the end-to-end repricing process, balancing competitiveness, customer outcomes and profitable growth

Maintain and enhance pricing methodologies, assumptions and segmentation frameworks

Provide pricing recommendations that support commercial objectives and strategic priorities

Degree-qualified in a quantitative discipline (e.g. Data Science, Statistics, Mathematics, Actuarial Science, Economics or Computer Science); actuarial qualification or equivalent professional experience would be advantageous

• Significant experience in pricing, data science, actuarial, analytics or a similar commercially focused role within insurance or financial services
• Strong pricing and analytical expertise, ideally within the UK protection or life insurance market
• Advanced modelling and programming capability, including experience with R, Python, SQL, machine learning and predictive analytics
• Proven ability to translate complex analytical insights into commercial recommendations and pricing decisions
• Experience developing pricing, risk, propensity or optimisation models and working with large, complex datasets