Day-to-Day Responsibilities
Clean and prepare policy, claims, customer and external data for modelling
Build pricing models, such as frequency and severity models, that estimate the expected cost of a risk
Develop machine learning models that flag suspicious or high-risk claims and applications
Test and validate models for accuracy, bias and stability before they go live
Work with underwriters, actuaries and product teams to turn model outputs into rules and pricing decisions
Monitor live models and retrain them when customer behaviour or claims patterns change
Explain results to non-technical managers and document models for audit and regulatory review
