I applied through an employee referral. The process took 4 weeks. I interviewed at Revolut (London, England) in Apr 2019
Interview
The interview process went extremely smooth. I first had a screening with a Data Scientist that took 30 minutes. After that, I completed a homework assignment with a deadline of one week. The homework assignment is quite challenging and requires quite some times and effort. After passing the homework assignment, I had a one-hour technical interview with two data scientists. Finally I had a call with the product owner for my team as well as the lead data scientist.
Overall, the process was extremely smooth and nice. The recruiters were very responsive and helpful in order to adapt to my schedule.
Interview questions [1]
Question 1
What is the difference between random forest and gradient boosted trees?
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
1
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