Initial talk with recruiter and then four rounds of interview with the team. 1st one was about motivation and past experiences; 2nd on experimentation and a take home test; 3rd one focused on behavioural; final one was about case study. It took quite a while after the final interview until I got the decision. The whole process took almost 2 months.

I interviewed for a Senior Data Scientist role at Monzo, but the position was much closer to a data or product analyst role with a strong focus on experimentation (A/B testing), reporting, and stakeholder communication. Machine learning and Python were not required, but "nice to have." The recruiter was a bit dismissive, when I gave relevant experience from a previous role, they cut me off and insisted on examples from my most recent job, as if prior work didn’t matter. The second interview was much better; I discussed experimentation even though it wasn’t my main responsibility. The third round included coding and case-style experimentation questions. Some were so long that the interviewer had to summarize them live, which felt a bit excessive. You could only perform well if you're already in a very similar role, not something you can prep for in a few days, even though the actual skills required aren’t that deep. Overall, they seem to be looking for a near-perfect match to a very specific analyst-type profile. If you're coming from a modeling-heavy or academic background (like a PhD), this role likely won't value your experience. It was a frustrating process overall.