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Prep plan
Updated weekly · Last refresh Sep 21

Next insurance Data Scientist Interview Questions

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

33questions
~5htotal time
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1
A/B Testing & ExperimentationStart here. 3 questions · ~25 min
2
Machine Learning5 questions · ~42 min
Handling Imbalanced Fraud LabelsMedium

Explain how to train and evaluate models on highly imbalanced fraud data without relying on misleading accuracy.

Cross-ValidationFeature EngineeringSupervised LearningNext insurance
Bias Variance and RegularizationMedium

Explain the bias-variance tradeoff mathematically and how L1 and L2 regularization change model complexity and weights.

Bias-Variance TradeoffRegularizationSupervised LearningNext insurance
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3
Metrics4 questions · ~33 min
Diagnose KPI Drop After ReleaseMedium

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisNext insurance
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4
SQL & Data Manipulation7 questions + 2 drills · ~79 min
5
Behavioral & Leadership9 questions · ~75 min
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6
More topics5 questions · ~42 min
Prioritize Funnel ImprovementsMedium

Tests prioritization using data, impact estimation, and funnel understanding for product decisions.

Funnel AnalysisFeature PrioritizationProduct VisionNext insurance
Policy A/B Sample SizeHard

Tests ability to compute A/B sample size and plan statistically valid experiments for product changes.

MDEPower AnalysisSample SizeNext insurance
Renewal Model MetricsMedium

Tests metric selection for imbalanced classification and understanding of renewal prediction tradeoffs.

ClassificationAccuracyModel MetricsNext insurance
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The finish line: interview-readyComplete all 33 questions plus 2 hands-on drills to finish this plan.