Top 33
Prep plan
Updated weekly · Last refresh Aug 30

Capgemini Engineering Data Scientist Interview Questions

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

33questions
~5htotal time
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1
SQL & Data ManipulationStart here. 3 questions + 2 drills · ~45 min
2
System Design3 questions · ~25 min
3
Machine Learning9 questions · ~76 min
Handling Missing Values in MLEasy

Explain practical strategies for handling missing values in a supervised learning workflow, from diagnosis to modeling and validation.

Cross-ValidationFeature EngineeringRegularizationCapgemini Engineering
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4
Statistics & Probability3 questions · ~25 min
Sample Size and Power PlanningMedium

Reason about sample size, power, and minimum detectable effect before launching an experiment.

Hypothesis TestingPower AnalysisSample SizeCapgemini Engineering
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5
Model Evaluation3 questions · ~25 min
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6
Behavioral & Leadership6 questions · ~51 min
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7
More topics6 questions · ~51 min
Design Test for New FeatureMedium

Design an A/B test for a new platform feature, including success metrics, power, guardrails, and a clear ship decision.

experiment designfeature evaluationA/B TestingCapgemini Engineering
Choose Metrics for New FeaturesEasy

Define a practical framework for selecting a north star, supporting KPIs, and leading indicators for a new product feature.

North Star MetricKPIsLeading IndicatorsCapgemini Engineering
Prioritize Features for AI ProductsMedium

A framework for prioritizing AI product features based on user value, feasibility, evaluation quality, and trade-offs.

Feature PrioritizationValue PropositionCapgemini Engineering
Designing a Data Pipeline for MLMedium

Evaluates your end-to-end thinking for data ingestion, transformation, and ML readiness.

ETLOrchestrationData ModelingCapgemini Engineering
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The finish line: interview-readyComplete all 33 questions plus 2 hands-on drills to finish this plan.