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Updated weekly · Last refresh Oct 17

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 daily.

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1
SQL & Data ManipulationStart here. 10 questions · ~94 min
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
Top Three Event SequencesHard
Practice

Rank the three most frequent Risk Intelligence portal event sequences using ordered aggregation and window functions.

sqlMunich Re
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2
A/B Testing & Experimentation5 questions · ~47 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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3
Statistics & Probability6 questions · ~56 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
Machine Learning8 questions · ~75 min
Experience with Predictive ModelingMedium

Explain your experience building predictive models, from feature work and validation to tuning and deployment.

Cross-ValidationFeature EngineeringSupervised LearningMunich Re
Build a Predictive Model from DataMedium

Build a supervised model from a dataset, from feature prep through validation and deployment choices.

Cross-ValidationFeature EngineeringSupervised LearningMunich Re
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5
Product Sense6 questions · ~56 min
Diagnose Underwriting Metric DropMedium

Assesses how you investigate and diagnose metric regressions in an underwriting context.

DiagnosisMunich Re
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6
Behavioral & Leadership10 questions · ~94 min
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7
More topics2 questions · ~19 min
Choosing Model Evaluation TechniquesEasy

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

PrecisionAccuracyRecallMunich Re
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