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Prep plan
Updated weekly · Last refresh Oct 6

Guardian Life Data Scientist Interview Questions

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

33questions
~4htotal time
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1
Machine LearningStart here. 7 questions · ~56 min
2
NLP4 questions · ~32 min
3
Behavioral & Leadership9 questions · ~72 min
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4
More topics13 questions · ~104 min
Choose RMSE vs MAEEasy

Compare two rent prediction models and decide whether MAE or RMSE is the better selection metric given costly large errors.

RegressionMAERMSEGuardian Life
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 IndicatorsDiagnosisGuardian Life
Connect ML to Business ImpactMedium

Assesses your ability to translate modeling work into business and customer impact for Guardian Life.

business impactGuardian Life
Design A/B Test for ClaimsHard

Tests your experimental design skills for customer-facing insurance process changes.

experiment designSample Sizeprimary metricsGuardian Life
Rolling 30-Day Claim CountsMedium

Tests your SQL window function skills for time-based aggregations and feature engineering.

Window FunctionssqlRunning TotalsGuardian Life
Shallow vs Deep CopyEasy

Tests your understanding of Python object copying semantics and side effects.

technicalpython servicetechnical knowledgeGuardian Life
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
The finish line: interview-readyComplete all 33 questions plus 3 hands-on drills to finish this plan.