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The Senior Pricing Manager leads the Market Pricing & Insights team, driving market pricing strategy and enhancing pricing accuracy while collaborating across departments to support customer fairness and business goals.

The Market Pricing Manager leads a team to optimize pricing strategies through market insights and data analysis, collaborating cross-functionally and driving innovation in pricing models.

Lead data science projects, delivering predictive models for pricing. Mentor junior scientists, enhance tools, and drive effective risk assessment.

As a Pricing Automation Engineer, you will develop and optimize data pipelines and pricing workflows using Python, and ensure accuracy in automated trading decisions through analytics and collaboration.

The Pricing Manager will manage Home trading leverage pricing levers, enhance trading performance using data, and handle price changes from concept to implementation. Insurance experience is preferred, along with strong communication and stakeholder management skills.

Design, develop and deploy predictive models for pricing and claims outcomes. Build and maintain modelling tools, investigate new rating factors, and support production ML tooling to improve predictive performance and efficiency.

Build and maintain analytical tools and predictive models (claims, fraud, risk KPIs); engineer rating factors; identify and monetise new data sources; collaborate with actuaries, data engineers and pricing analysts to deploy ML-driven pricing solutions.

Lead development and deployment of predictive models and analytical tools to support pricing, claims and fraud detection. Engineer rating factors, identify and monetise new data sources, and collaborate with Data Engineers, Actuaries and Pricing Analysts to deliver production-grade ML solutions that improve business performance.

The Footprint Manager analyzes portfolio risk, collaborates with pricing and underwriting teams, and provides insights to improve pricing strategies and model effectiveness.

Lead development and optimisation of telematics-driven pricing models. Use telematics data to influence pricing, manage risk spread, reduce customer prices, collaborate with stakeholders, document governance, and manage a small team of analysts while exploring new modelling techniques and data sources.