I started with an initial HR screening call. After that, I did a technical interview focused on algorithms and data structures (trees, lists, etc...). I did a third one focused on statistical knowledge where I had to solve some problems in a whiteboard and explain several machine learning concepts. I had a final one (which was rescheduled a few days before) where I was told I would have to explain XGBoost and Decision Trees but it focused on Marketing concepts instead which got me a bit off-guard. I got rejected after that one, which is obviously fine (as it was marketing-related). But what was disappointing is that I asked for feedback in a follow-up email and I didn't get any response at all. I had the feeling that behind the scenes the whole process was a mess. Also, I didn't feel like people were very happy working here, nor were they really excited when asked about Revolut's culture.

I made 2 interviews: screening with a recruiter and a live coding one, with Leetcode like exercises without any AI coding assistant. In the coding one they required a very deep knowledge of Python libraries, some of them not common at all in the day to day of a data scientist