Top 27
Prep plan
Updated weekly · Last refresh Oct 17

Allianz Data Scientist Interview Questions

The questions to prepare for a Allianz Data Scientist interview. Questions from real interview reports rank first. Updated daily.

27questions
~4htotal time
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1
Machine LearningStart here. 5 questions · ~40 min
Feature Engineering for ImbalanceHard

Tests your ML judgment for handling imbalance through robust feature engineering strategies.

Feature EngineeringAllianz
Selecting Features for a ProjectMedium

Tests your feature selection process and how you justify choices with data and modeling goals.

project experienceAllianz
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2
Behavioral & Leadership13 questions · ~104 min
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3
More topics9 questions · ~72 min
First Checks for Metric DropsEasy

Outline the first checks to diagnose a sudden drop in a core product metric, starting with data quality, scope, and decomposition.

Lagging IndicatorsLeading IndicatorsDiagnosisAllianz
Common Pitfalls in Experiment ResultsHard

Identify the main pitfalls that can distort A/B test interpretation and explain how to guard against them.

PeekingNovelty EffectSample Ratio MismatchAllianz
Resume Walkthrough and CodingMedium

Tests your practical Python and SQL skills and your ability to justify past data work.

sqlAllianz
Model an Actuarial Quantity DistributionMedium

Assesses statistical reasoning for choosing probability distributions for insurance data.

Allianz
Evaluating Model Performance in RealityMedium

Tests your ability to assess model quality under production constraints and real data shifts.

Model EvaluationAllianz
Disruption Opportunities in InsuranceMedium

Tests your product sense and ability to identify high-impact DS opportunities in insurance.

innovationAllianz
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 27 questions plus 3 hands-on drills to finish this plan.