First round: What data would you require if you when deciding whether to lend an auto finance to a customer? What are the different aspects you look at to decide the interest rate? I don't remember the case study questions but one was on health insurance pricing, the other was on call center and numbers of accounts to allocate at each one of them. I don't remember the third one.
Name one of your most memorable "Ah Ha" moments when you figured something out using your data science skills?
Case study: if you want to build a model for predicting whether a customer will default or not. Feature design, feature selection, model selection, evaluation metrics design.
In-depth Rails questions, in particular on routes; What are those HTTP methods, and corresponding Rails methods. Difference between PUT/UPDATE. What is PATCH? Rails routes: member, collections? MySQL vs. Postgres, why one over the other. MySQL vs. NoSQL. Design eCommerce websites; Design products recommendation for eCommerce.
When you're available for a call?
What is RAG? and it Parameters.
What would be the impact of hiring additional riders in the UK?
What do you want from this job?
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