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Revolut
Real technical interviewSeptember 1, 2025

ML1: probability, statistics and Classic ML basics

Whiteboard theory round: Bayes theorem, precision/recall, A/B sample size, MLE, OLS assumptions and bias-variance.

7 questions1 hr 1 minAudio recording available

Аудио и материалы

Аудио собеседования

0:00 / 1:01:24

Этап 3 из 5RevolutData Scientist / Deep Learning Engineer2025-08-15 - 2025-10-13
Собеседования в Revolut: Data Science и глубокое обучение

Техническое собеседование в Revolut

Выводы и как готовиться

  • This was not a product ML System Design round: it was a fundamentals screen where formulas and assumptions mattered.
  • The strongest reusable practice blocks are Bayes/base-rate reasoning, A/B sample size, MLE and OLS assumptions.
  • The interview repeatedly rewarded correcting formulas after feedback and explaining why a stationary point is a maximum.
ML1: probability, statistics and Classic ML basics — ML Mentor