I applied online. I interviewed at Revolut (London, England) in Jan 2020
Interview
Interview had multiple steps, the first was general introductory interview where both candidates and the company ask and answer questions from each other. Once you pass the first round, there will be technical exercise which they will ask the candidate to complete in a week. Once the exercise is completed, the second stages of interview which includes presenting the result of exercise, questions regarding the exercise (mainly line of thinking), and live coding.
I failed the interview because of not finishing the live coding exercise in time, however it was only because the interviewer's comments were misleading (this is my biased opinion but I would recommend them to not disturb the interviewee during such intense and stressful segment of interview) and at the end she just said your time is up.
The interview process was straightforward and well organized. It started with a recruiter screening about my background and interest in the role, followed by a technical interview covering SQL, Python, statistics, and machine learning concepts. There was also a case study discussion where I explained my approach to analyzing data and communicating insights. Overall, the process was average in difficulty and focused on practical data science skills.
too long process. many steps. strange livecoding where after an optimal solution they ask you about another optimal solution. A little annoying ML interview where you have to solve basic theory of probability tasks for senior position
Rapid-fire format — interviewer moved through topics quickly, frequently interrupting to redirect when answers got too long or off-track. Several questions were skipped due to time pressure or when the candidate struggled to formulate a clear answer