Top 44
Prep plan
Updated weekly · Last refresh Aug 30

Swiss Re Data Scientist Interview Questions

The questions to prepare for a Swiss Re Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

44questions
~6htotal time
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1
SQL & Data ManipulationStart here. 7 questions + 1 drill · ~70 min
2
Statistics & Probability3 questions · ~26 min
Interpreting P Values in TestingEasy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesSwiss Re
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3
Machine Learning10 questions · ~86 min
Supervised vs Unsupervised LearningEasy

Explain how supervised and unsupervised learning differ, and ground the distinction in a practical ML example.

Unsupervised LearningFeature EngineeringBias-Variance TradeoffSwiss Re
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4
Model Evaluation4 questions · ~35 min
Explain Core Classification MetricsEasy

Explain precision, recall, F1-score, and ROC-AUC for a classification model.

F1 ScorePrecisionAUC-ROCSwiss Re
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5
Product Sense3 questions · ~26 min
Define Feature Success MetricsMedium

Framework for choosing a feature's primary success metric and guardrails before launch.

MetricsFeature PrioritizationProduct VisionSwiss Re
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6
A/B Testing & Experimentation3 questions · ~26 min
Power Analysis for Survey ExperimentHard

Determine sample size and power for a customer survey or experiment, including MDE, guardrails, and a disciplined decision rule.

MDEPower AnalysisSample SizeSwiss Re
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7
More topics14 questions · ~121 min
Diagnose a Metric Drop After LaunchMedium

Investigate why a key KPI moved the wrong way after a product change and separate signal from noise.

Lagging IndicatorsLeading IndicatorsDiagnosisSwiss Re
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The finish line: interview-readyComplete all 44 questions plus 1 hands-on drill to finish this plan.