Data Science Lead – HX Insurance Model

About the role

Join a leading global insurer that is undergoing a major data and analytics transformation. As the Data Science Lead you will modernise data‑science capabilities, influence strategic decisions and deliver high‑impact analytical solutions across a large‑scale enterprise environment.

Key responsibilities

• Lead the design, development and deployment of advanced analytical and machine learning models.
• Partner with business and technology stakeholders to translate complex challenges into data‑driven solutions.
• Drive the modernisation of data‑science practices, tools and methodologies.
• Oversee model performance, governance, documentation and regulatory compliance.
• Manage and mentor a team of data scientists while collaborating with offshore analytics partners.
• Present insights and recommendations to senior business audiences.

Required profile

• Proven experience leading data‑science projects in large, complex organisations.
• Strong Python and HX modelling expertise.
• Track record of delivering models that generate measurable commercial outcomes.
• Expertise in predictive modelling, machine learning and statistical analysis.
• Experience working with large‑scale structured and unstructured datasets.
• Excellent stakeholder management and communication skills.

Required skills

• Python
• HX modelling
• Predictive modelling
• Machine learning
• Statistical analysis
• Spark
• Hadoop
• NoSQL

What we offer

• Up to £1,000 per day (PAYE) on an initial 6‑month contract.
• Opportunity to work with a global insurer on high‑visibility projects.
• Exposure to cutting‑edge data‑science tools and large‑scale enterprise environments.