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NatWest Data Scientist Interview Questions

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

25questions
~3htotal time
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1
SQL & Data ManipulationStart here. 3 questions + 3 drills · ~54 min
Handling Missing and Dirty SQL DataMedium

Explain how to profile, clean, and standardize missing or dirty data before analysis.

Data WranglingCase WhenQualityNatWest
Normalize Messy CRM Contact DataHard
Practice
Practice drill

Clean inconsistent CRM contacts by joining source tables, standardizing values, and flagging bad records.

Data WranglingCase WhenQualityAlphaSense
Validate Monthly Revenue Data QualityHard
Practice
Practice drill

Use joins, a CTE, and CASE logic to flag messy monthly order data and produce cleaned revenue by month.

Data WranglingCase WhenQualityLiterati
SQL Window Functions Moving AverageMedium
Practice
Practice drill

Calculate a three-day moving average of active-client revenue using aggregation and SQL window functions.

Window FunctionsData AnalysissqlAAreteMITREGlassdoor
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2
Statistics & Probability3 questions · ~24 min
Interpreting P Values in TestingEasy

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesNatWest
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3
Machine Learning4 questions · ~33 min
Explain ML to StakeholdersMedium

Tests your ability to communicate model behavior and impact to non-technical stakeholders.

CommunicationNatWest
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4
Behavioral & Leadership10 questions · ~82 min
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5
More topics5 questions · ~41 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 TestingNatWest
Build Reliable Model EvaluationMedium

Approach for evaluating models so performance is stable, well calibrated, and fit for production scale.

Cross-ValidationCalibrationPrecisionNatWest
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 IndicatorsDiagnosisNatWest
Design Customer Satisfaction MetricMedium

Assesses your ability to define measurable metrics tied to customer outcomes and decision-making.

product metricsNatWest
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 MismatchNatWest

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