Overview
This is an exciting opportunity to shape the future of Data Science and AI at a market-leading insurance intermediary. As Data Science Lead, you will combine hands‑on technical leadership with the scope to set the standards and foundations for future initiatives, turning data into commercial advantage and better customer experiences. Working closely with business and technology colleagues, you will identify opportunities, guide delivery and ensure that investment in Data Science and AI translates into measurable business value.
This opportunity suits an ambitious Senior, Lead or Principal Data Scientist who has contributed to technically mature production modelling environments and is ready for greater technical ownership. You will bring proven delivery practices and establish strong foundations for future data science projects.
Key Responsibilities
- Own the four predictive models: review the existing code and assumptions, retrain and validate models, and improve their performance and reliability.
- Work alongside our strategic technical partner to improve the predictive models and support their ongoing development, documentation and retraining.
- Work hands‑on in Python and SQL across Azure and Databricks; collaborate with MLOps on deployment, monitoring and repeatable retraining.
- Partner with Data Analysts and business stakeholders to understand data quality, interpret results and connect modelling priorities to business needs.
- Establish project foundations: clear problem definitions, success measures, reproducible pipelines, version control, testing, validation and model documentation.
- Measure commercial impact, communicate model performance and limitations clearly, and prioritise improvements with a credible business case.
Skills & Experience Profile
- Strong hands‑on predictive modelling, Python and SQL skills, with experience owning, retraining and improving models in production.
- Direct contribution to mature data science environments, with practical experience applying robust foundations, governance and delivery best practices.
- Insurance or adjacent financial services experience, with an understanding of regulated data use, explainability and model risk.
- Practical Azure and Databricks experience, and the ability to collaborate effectively with MLOps and analytical colleagues.
- Commercial judgement, evidence of measurable model value, and clear communication with technical and business stakeholders.
Additional Information
- £95,000-£100,000 base salary + bonus.
- Basingstoke HQ, hybrid with 2-3 days per week onsite.
- 25 days annual leave + bank holidays; pension and wider benefits.
Data Science Lead employer: Shareforce
Shareforce is an exceptional employer that fosters a dynamic and collaborative work environment in the heart of Oxford. With a strong focus on employee growth, we offer unique opportunities for professional development alongside hands-on experience in scientific operations. Our commitment to innovation and teamwork ensures that every team member plays a vital role in our mission to advance scientific solutions.
