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Updated weekly · Last refresh Sep 22
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Serco Group Data Scientist Interview Questions

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

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1
Product SenseStart here. 4 questions · ~35 min
Design a New Engagement MetricHard

Define a meaningful engagement metric for a retail analytics mobile application and explain how to validate it.

product metricsMetricsuser engagementSSerco Group
Diagnose a Sudden Metric DropMedium

Evaluates structured diagnostic approach to metric declines.

product metricsroot cause analysisSSerco Group
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2
A/B Testing & Experimentation5 questions · ~43 min
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 MismatchSSerco Group
Design a Core Service Interface ExperimentMedium

Evaluates experimental design for system interfaces within Serco's services.

experiment designTestingSSerco Group
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3
Behavioral & Leadership5 questions · ~43 min
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4
More topics5 questions · ~43 min
SQL Window Functions Rolling AverageMedium
Practice

Calculate three-day rolling average sales by region using aggregation, joins, and PostgreSQL window functions.

Window FunctionssqlSSerco Group
Diagnose Engagement DropHard

Identify the causes of a quarterly engagement decline through metric validation, decomposition, segmentation, and trend analysis.

MetricsDiagnosisuser engagementSSerco Group
Assess Statistical Significance of a Service metricMedium

Tests statistical reasoning on service delivery metrics within Serco context.

Data AnalysisStatistical SignificanceSSerco Group
Separate Retention From Short Term EngagementHard

Assess whether a feature drives durable retention gains or only a temporary spike in usage.

RetentionEngagement MetricsSSerco Group
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Hands-on SQL practiceWrite and run real queries in the editor. 2 drills · ~20 min
Second Attempt Score Per UserEasy
Practice
Practice drill

Use ROW_NUMBER to return each student's second score on a specified Khan Academy exercise.

Data Analysissqluser engagementKhan Academy
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 AnalysissqlAAreteEEvalueserveSShyena Tech Yarns
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