HM Revenue and Customs Data Scientist Interview Questions
The questions to prepare for a HM Revenue and Customs Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Determine the sample size needed to detect a meaningful A/B test effect at a chosen significance level and power.
Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.
Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.
Tests collaboration, accountability, communication, and constructive conflict resolution in team settings.
Assess whether a new feature changed user engagement using a clear metric definition, comparison design, and guardrails.
Explain how to design, test, and validate analyses so statistical significance is reliable rather than a result of sampling noise or repeated testing.
Explain statistical significance, p-values, practical importance, and uncertainty to a non-technical stakeholder.
Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.
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