Senior Pricing Data R&D Analyst

About AXA

AXA is a global leader in insurance and financial services, dedicated to helping customers protect what matters most to them. As the sixth‑largest insurance company in the world, we provide a wide range of services, including health, car, home, and business insurance. We support millions of customers worldwide, helping them navigate life’s uncertainties with confidence.

At AXA UK, our Data Research and Development (R&D) team is dedicated to harnessing the power of data to drive smarter, more predictive insurance pricing models for our Retail Motor and Household products. We focus on exploring new data sources and advanced analytics to enhance our segmentation and risk prediction capabilities, ensuring we stay ahead in a competitive market. As part of this team, you’ll play a key role in shaping the future of insurance analytics through innovative data enrichment strategies.

• Lead and support projects focused on data enrichment to enhance model accuracy and segmentation.
• Identify and evaluate new predictive features from diverse data sources, assessing their commercial value.
• Develop and implement advanced predictive models and analytics techniques.
• Create and maintain robust data pipelines for live rating and ELR integration.
• Support governance and contractual management of data sources and providers.
• Act as the key interface between Data R&D and risk pricing model owners.
• Develop tools and metrics to measure the value of new data sources.
• Drive innovation by exploring novel ways to utilise existing data for modelling enhancements.

We work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You’ll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means attending the office, visiting clients or attending industry events.

• Proficiency in predictive modelling and analytical tools such as Python, R, SAS, or SQL.
• Demonstrable experience working with external data sources and integrating them into models.
• Strong numerical and mathematical skills, with a 2.1 degree or higher in a related discipline.
• Excellent problem‑solving skills with a proactive approach to challenges.
• Effective communication skills to collaborate across teams and influence stakeholders.
• A passion for learning new techniques, including machine learning and statistical methods.
• Ability to plan, prioritise, and deliver projects within a fast‑paced environment.

As a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.

We are proud to be an Equal Opportunities Employer and do not discriminate against employees or potential employees based on protected characteristics.

We provide support for applicants with long‑term conditions or disabilities. For accessibility support, please contact Daniel harrison at Daniel