Insurance cross-sell and claim-risk modelling
Find health customers likely to buy vehicle insurance, and price motor risk fairly.
The brief
An insurer wants to grow by selling motor insurance to its health customers, and to price motor policies by risk. Build a cross-sell propensity model and a claim-risk model, then combine them into a campaign that targets good-risk prospects. Good looks like: strong lift on both models, a combined targeting plan, and a pricing discussion that respects fairness rules.
What you will build
- Build the cross-sell propensity model
- Build the claim-risk model on the driver data
- Calibrate probabilities
- Combine both into a targeting and pricing plan
- Check fairness and regulatory concerns
- Present the campaign with expected profit
Free, open data to build it with
- Health Insurance Cross Sell Prediction ↗ Kaggle
- Porto Seguro Safe Driver Prediction ↗ Kaggle
Check each dataset's licence before you publish your work. Your mentor gives your team its own version of the brief (data, scope or region), so every team's project is its own.

