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Updated weekly · Last refresh Aug 30

Munich Re Data Scientist Interview Questions

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

50questions
~7htotal time
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1
SQL & Data ManipulationStart here. 12 questions · ~106 min
Top Customers by Sales RevenueEasy
Practice

Use GROUP BY and SUM to rank the top 10 customers by total revenue from a single sales table.

RankingGroup ByAggregationsMunich Re
Running Totals With SQL Window FunctionsMedium
Practice

Calculate monthly and rolling twelve-month policy claims by region using joins, aggregation, and PostgreSQL window functions.

Window FunctionssqlRunning TotalsMunich Re
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2
Machine Learning8 questions · ~70 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 TradeoffMunich Re
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3
Statistics & Probability6 questions · ~53 min
Central Limit Theorem LimitsMedium

Explain the Central Limit Theorem, its assumptions, and when normal approximations break down in practice.

DistributionsCentral Limit TheoremExpected ValueMunich Re
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4
A/B Testing & Experimentation5 questions · ~44 min
Lift Conversion but Hurt RetentionHard

An experiment increases conversion but lowers retention; assess whether the trade-off is real and whether the change should ship.

ExperimentationCausal InferenceGuardrail MetricsMunich Re
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5
Product Sense6 questions · ~53 min
Data Scientist Responsibilities at Munich ReEasy

Tests your understanding of the role and how it contributes to Munich Re's risk and decision-making needs.

User NeedsValue PropositionProduct VisionMunich Re
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6
Behavioral & Leadership10 questions · ~88 min
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7
More topics3 questions · ~26 min
Choosing Model Evaluation TechniquesEasy

Explain how you evaluate models using the right metrics, validation strategy, and error analysis for the problem.

PrecisionAccuracyRecallMunich Re
ML Pipelines and Scripting BasicsMedium

Assesses your practical ML pipeline fundamentals and comfort with scripting and basic algorithms.

scriptingMunich Re
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