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Updated weekly · Last refresh Aug 30

Crédit Agricole Cib Data Scientist Interview Questions

The questions to prepare for a Crédit Agricole Cib Data Scientist interview. Questions from real interview reports rank first. Updated weekly.

36questions
~5htotal time
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1
Model EvaluationStart here. 3 questions · ~24 min
Evaluating Imbalanced Classification ModelsMedium

Explain how to evaluate a classifier on imbalanced data, with focus on metrics that are more informative than accuracy.

F1 ScorePrecisionRecallCrédit Agricole Cib
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2
Metrics3 questions · ~24 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 IndicatorsDiagnosisCrédit Agricole Cib
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3
Machine Learning8 questions · ~64 min
Reducing Overfitting in ML ModelsMedium

Explain how to diagnose and reduce overfitting using regularization, cross-validation, and model selection.

Cross-ValidationBias-Variance TradeoffRegularizationCrédit Agricole Cib
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4
SQL & Data Manipulation4 questions + 3 drills · ~62 min
5
Behavioral & Leadership8 questions · ~64 min
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6
More topics10 questions · ~80 min
Design an Installment-Flow ExperimentMedium

Design an A/B test for a new checkout installment-flow feature, including metrics, power, guardrails, and a disciplined ship decision.

ExperimentationHypothesis TestingA/B TestingCrédit Agricole Cib
Design a Real-Time ML Feature StoreHard

Design a shared feature store for training and low-latency inference across many ML systems with strict freshness and consistency needs.

Feature StoreFeature DriftModel ServingCrédit Agricole Cib
Explain Word EmbeddingsEasy

Explain how word embeddings represent words as dense vectors and why they help NLP models capture meaning.

Language ModelsText ClassificationFeature EngineeringCrédit Agricole Cib
Predicting Customer ChurnMedium

Tests product framing, modeling approach, and measurement plan for churn prediction.

User NeedsPain PointsUse CasesCrédit Agricole Cib
Python File Reading FunctionEasy

Tests basic Python proficiency for reliable file I/O and error handling.

InfrastructureData WranglingETLCrédit Agricole Cib
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