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Prep plan
Updated weekly · Last refresh Oct 17

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 daily.

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~6htotal time
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1
SQL & Data ManipulationStart here. 7 questions · ~63 min
Top Products by Sales RevenueEasy
Practice

Find the top 10 products by total sales revenue using joins, aggregation, and a CTE.

RankingGroup ByAggregationsSwiss Re
Analyze Customer Purchase Trends with Window FunctionsEasy
Practice

Calculate the monthly spending trends for customers using window functions and joins.

Swiss Re
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2
Machine Learning10 questions · ~89 min
Overfitting and Generalization ControlEasy

Explain what overfitting is, how to detect it, and the main techniques used to improve generalization.

Cross-ValidationBias-Variance TradeoffRegularizationSwiss Re
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3
Product Sense3 questions · ~27 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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4
Model Evaluation4 questions · ~36 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
A/B Testing & Experimentation3 questions · ~27 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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6
Statistics & Probability3 questions · ~27 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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7
More topics13 questions · ~116 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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