UK car and home insurer scaling ML-driven pricing and risk models
Ageas UK is a major personal-lines insurer with 4M+ customers, actively building predictive pricing and risk models across SAS, R, Python, and Databricks. The hiring mix is heavily data-skewed (7 of 18 open roles, mostly senior) paired with sparse engineering (4 roles), suggesting the company is shifting from traditional actuarial workflows toward data-driven pricing automation rather than building new products or platforms.
Ageas UK is one of the largest car and home insurers in the UK, part of an international group headquartered in Brussels, with roots back to 1824. The company serves over 4 million customers through direct channels and insurance brokers, with a 24/7 claims operation. Operationally, Ageas is headquartered in Eastleigh, Hampshire, and employs 1,001–5,000 people across the UK. The company is certified a Top Employer for four consecutive years (2022–2025) and has won Personal Lines Insurer of the Year multiple times.
SAS, R, Python, SQL, Databricks, Azure DevOps, GitHub Actions, Jenkins, Kubernetes, and Docker. Heavy emphasis on analytics and ML infrastructure.
Primarily pricing and risk modeling: radar live models for risk and market pricing, predictive model deployment into rating systems, price optimization, and dashboard creation for business decisions.
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