Senior Data Scientist

This is a senior individual contributor role within an innovative pricing function, focused on developing and evolving advanced predictive models. You will work on complex, high-impact modelling problems and help shape the next generation of pricing approaches.

Specifically, you can expect to be involved in:

• Building and enhancing pricing and risk models using large, complex and messy datasets.
• Developing predictive and residual models to better understand expected versus actual outcomes.
• Exploring novel data sources, including geospatial and alternative datasets, to improve customer selection and pricing accuracy.
• Supporting the progression of existing models from early versions into more mature, production-ready solutions.
• Mentoring junior team members and contributing to best practice across the data science community.

• Strong experience in predictive modelling using Python and SQL.
• Hands-on experience with modern machine learning techniques such as gradient boosting methods.
• Proven ability to work with large-scale, complex datasets and translate ambiguity into clear analytical approaches.
• Experience deploying models into production environments within a cloud-based platform.
• Ability to communicate technical concepts clearly and support less experienced colleagues.

• A well-established UK general insurance provider with a strong reputation for advanced analytics and data-driven decision making.
• The business operates at scale across multiple personal lines products and continues to invest significantly in modern data platforms and machine learning.
• Data science sits at the core of how the organisation prices risk and drives commercial strategy., * Performance-related bonus.
• Car allowance.
• Private medical insurance and health & wellbeing support.
• Generous holiday allowance with the option to buy or sell additional days.
• Pension contribution with employer matching.
• Life assurance, income protection and additional optional benefits.

THE PROCESS

• Initial 30-minute interview focused on experience and approach.
• Technical case study with presentation and discussion.
• Competency-based interview covering leadership and delivery scenarios.
• Final-stage interview focused on team fit and senior stakeholder engagement.