Senior Data Scientist


Salary
£60,000-£75,000 + bonus


Location + work pattern
London or Leicester | Hybrid working (1 day per week in the office)


THE COMPANY*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.
THE ROLEThis 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.
YOUR SKILLS AND EXPERIENCE
*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.
THE BENEFITS*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.
HOW TO APPLY
Please register your interest via the apply link on this page.