I interviewed for a data scientist role at Hiscox insurance, after the introductory stage with the recruiter I had a technical interview that lasted for 45 mins to 1hr : This involved technical questions around data science like define type 1 error, type 11 error, where to use them, explain decision tree to a non technicals audience, explain gradient boosting, A member then look through my resume and asked random technical questions based on my resume. Next stage was coding interview: I discussed a ml notebook with the panel . Simple questions like .info, common exploratory data analysis functions , model evaluation metrics , final stage was a behavioural interview that asked different behavioural questions like how do you like explain technical terms to non technical audience etc