Zimnat Insurance Recommendation Challenge

In this competition, you will leverage data and ML methods to improve market outcomes for insurance provider Zimnat, by matching consumer needs with product offerings in the Zimbabwean insurance market. Zimnat wants an ML model to use customer data to predict which kinds of insurance products to recommend to customers. The company has provided data on nearly 40,000 customers who have purchased two or more insurance products from Zimnat.

Your challenge: for around 10,000 customers in the test set, you are given all but one of the products they own, and are asked to make predictions around which products are most likely to be the missing product. This same model can then be applied to any customer to identify insurance products that might be useful to them given their current profile.

To enter this competition, we require that you complete a survey about your experience as a data scientist. We will send the survey by email during the course of the competition. All survey data will be anonymised, and will be used for research purposes only by the Research Unit for the Diffusion of Quality AI.
Competition closes on 13 September 2020.
Final submissions must be received by 11:59 PM GMT.


  • 1st Place: $2,500 USD

  • 2nd Place: $1,500 USD

  • 3rd Place: $1,000 USD

Join Competition Here