Lead Pricing Scientist / Lead Pricing Scientistess

Location: Reading/Hybrid

Category: Non-life Actuarial

Type: Permanent

Key Responsibilities

In this role, you will collaborate with colleagues from various departments, including Distribution, Proposition, Operations, Data, and Technology, to lead the development of our pricing science capability. Your responsibilities will include:

• Developing and enhancing pricing models.
• Delivering commercial insights.
• Identifying opportunities to improve pricing sophistication and automation.
• Supporting the evolution of next-generation pricing solutions while maintaining robust governance and controls.
• Leading the development and optimization of pricing across the portfolio.
• Owning the end-to-end repricing process, balancing competitiveness, customer outcomes, and profitable growth.
• Maintaining and enhancing pricing methodologies, assumptions, and segmentation frameworks.
• Providing pricing recommendations that align with commercial objectives and strategic priorities.

Qualifications

The ideal candidate will possess the following qualifications:

• Degree-qualified in a quantitative discipline (e.g., Data Science, Statistics, Mathematics, Actuarial Science, Economics, or Computer Science); an actuarial qualification or equivalent professional experience would be advantageous.
• Significant experience in pricing, data science, actuarial, analytics, or a related commercially focused role within the insurance or financial services sectors.
• Strong pricing and analytical expertise, ideally within the UK protection or life insurance market.
• Advanced modeling and programming capabilities, including proficiency in R, Python, SQL, machine learning, and predictive analytics.
• Proven ability to translate complex analytical insights into commercial recommendations and pricing decisions.
• Experience in developing pricing, risk, propensity, or optimization models and working with large, complex datasets.

Apply online using the form below. Please note that only applications matching the job profile will be considered.