Revolut Data Scientist Interview Questions
The questions to prepare for a Revolut Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Explain how bagging and boosting differ, and clarify where GBM fits among ensemble methods.
RevolutDefine activation and retention metrics, then calculate monthly product cohorts with PostgreSQL CTEs and conditional aggregation.
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Solve two machine-learning coding exercises under time pressure, explaining assumptions, edge cases, complexity, and evaluation choices.
RevolutDerive the binomial maximum likelihood estimate and calculate the posterior probability after a positive diagnostic result.
RevolutDesign a powered A/B test for a recommendation algorithm while accounting for network interference and guardrails.
RevolutIdentify the causes of a quarterly engagement decline through metric validation, decomposition, segmentation, and trend analysis.
RevolutDefine a success metric for a new feature that captures real user value, not just raw usage.
RevolutTests performance engineering knowledge for large-scale data processing in Python.
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