onsite
Data Science Lead - William Alexander
Data Scientist
Lead the development of advanced predictive pricing models for the insurance sector, driving commercial analytics and modernisation initiatives using Python, ML, and cloud technologies.
About the role
Key Responsibilities
- Design, develop, and deploy scalable predictive pricing models for general insurance products.
- Lead a cross‑functional team in modernising analytics pipelines and data infrastructure.
- Collaborate with actuarial, underwriting, and product teams to translate business requirements into data‑driven solutions.
- Ensure model governance, validation, and compliance with regulatory standards.
- Present insights and model performance to senior stakeholders, driving data‑driven decision making.
Requirements
- Proven experience delivering insurance pricing models and commercial analytics solutions.
- Strong proficiency in Python, SQL, and machine learning frameworks.
- Hands‑on experience with cloud platforms (AWS, Azure, or GCP) and data engineering tools.
- Excellent communication skills and ability to translate complex analytics into actionable business insights.
- Experience with model governance, validation, and regulatory compliance in the insurance domain.
Skills
pythonmachine learningsqlaws