Your role

will combine technical leadership, hands‑on model development, and close collaboration with underwriting, pricing, and data science teams to ensure analytical insight is translated into tangible commercial impact.

Your skills and experience:

Essential

Experience building commercial insurance pricing models, ideally across multiple lines of business.

Deep expertise in GLMs, including variable selection, interactions, diagnostics, and interpretation.

Proven experience applying data science / machine‑learning techniques (e.g. tree‑based models, regularisation, ensemble methods) in a pricing or risk context.

Programming skills (e.g. Python, R, SQL) and experience working with large, complex datasets.

Ability to translate analytical output into clear commercial insight and recommendations.

Desirable

Experience with pricing optimisation, elasticity modelling, or p...