We are looking for a Senior Data Scientist to join our Digital team and help deliver predictive analytics solutions that support pricing, underwriting, claims, and broader digital transformation initiatives.
Requirements
- Lead advanced analytics initiatives that support insurance portfolio management and commercial performance.
- Apply statistical and machine learning techniques to generate insights that improve decision-making.
- Work across structured, unstructured, and externally sourced data to identify opportunities and enrich analytical outcomes.
- Extract, prepare, and analyse data using Python and other data management tools.
- Develop predictive models and analytical solutions using techniques such as GLMs, gradient boosting, tree-based models, and other machine learning methods.
- Partner with business teams to understand needs, scope analytical work, prioritise initiatives, and shape the analytics roadmap.
- Collaborate with the Global Analytics team on model build and refinement, providing technical feedback and ensuring solutions meet business and quality standards.
- Drive end-to-end delivery from problem framing and exploration through to model development, validation, deployment, and adoption.
- Present analytical findings, model performance, and portfolio insights to business stakeholders, actuarial teams, and other key partners in clear, decision-ready language.
- Maintain comprehensive documentation across the solution lifecycle, including business requirements, solution design, model logic, and validation outcomes.
