Top 50
Prep plan
Updated weekly · Last refresh Aug 30

Banco Santander Data Scientist Interview Questions

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

50questions
~7htotal time
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1
SQL & Data ManipulationStart here. 8 questions · ~72 min
2
Model Evaluation8 questions · ~72 min
Tune Fraud Alert ThresholdMedium

Assess whether a fraud model threshold is too high or too low by comparing precision, recall, alert volume, and business cost.

PrecisionThreshold TuningRecallBanco Santander
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3
Machine Learning8 questions · ~72 min
Detect Card Fraud with Imbalanced DataEasy

Build an imbalanced binary classifier for card fraud detection using class weighting, resampling, and threshold tuning with PR-focused evaluation.

Hyperparameter TuningCross-ValidationFeature EngineeringBanco Santander
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4
Pipelines8 questions · ~72 min
Backfilling Missing Pipeline DataMedium

Approach for safely backfilling missing data while preserving correctness, idempotency, and data quality.

ETLQualityBanco Santander
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5
Statistics & Probability7 questions · ~63 min
Statistical vs Practical SignificanceMedium

Explain why a statistically significant experiment result may still be too small to matter for product or business decisions.

Confidence IntervalsExperimentationHypothesis TestingBanco Santander
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6
Metrics4 questions · ~36 min
KPIs for Credit Card CampaignMedium

Tests whether you can define measurable marketing and risk KPIs for Santander campaigns.

Funnel AnalysisKPIsConversion RateBanco Santander
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7
More topics7 questions · ~63 min
Classify Customer Feedback SentimentMedium

Build a sentiment classifier for customer feedback using modern text preprocessing and transformer fine-tuning.

Text ClassificationSentiment AnalysisTokenizationBanco Santander
Digital Banking Pain PointsEasy

Evaluates ability to identify customer problems and map them to data science solutions.

User NeedsPain PointsUse CasesBanco Santander
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