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bet365 Data Scientist Interview Questions

The questions to prepare for a bet365 Data Scientist interview. Questions from real interview reports rank first. Updated daily.

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1
SQL & Data ManipulationStart here. 7 questions · ~66 min
2
Statistics & Probability13 questions · ~123 min
Causal Inference Without Clean ExperimentsHard

Reason about how to estimate causal effects in product settings when randomized experiments are not available.

Confidence IntervalsHypothesis TestingCausal Inferencebet365
Explaining P Values ClearlyEasy

Explain what a p-value means, how it relates to statistical significance, and how to describe it clearly to non-technical stakeholders.

CommunicationStatistical SignificanceP-Valuesbet365
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3
Model Evaluation4 questions · ~38 min
Diagnose Consistently Inaccurate PredictionsHard

Approach for diagnosing why a model's predictions are consistently inaccurate.

CalibrationAccuracyThreshold Tuningbet365
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4
Machine Learning7 questions · ~66 min
Build a Predictive Model from DataMedium

Build a supervised model from a dataset, from feature prep through validation and deployment choices.

Cross-ValidationFeature EngineeringSupervised Learningbet365
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5
Metrics3 questions · ~28 min
Analyze Campaign Metrics That MatterEasy

Explain how you evaluated a marketing campaign using funnel, efficiency, and business outcome metrics.

KPIsLeading IndicatorsDiagnosisbet365
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6
A/B Testing & Experimentation6 questions · ~57 min
A/B Test for User RetentionHard

Design a retention experiment with a clear MDE, user-level randomization, guardrails, power analysis, and a defensible ship decision.

experiment designMDEuser retentionbet365
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7
More topics10 questions · ~94 min
Balance Conversion vs LTVHard

Design personalization algorithms that improve immediate conversion without harming long-term customer lifetime value.

MetricsFeature Prioritizationcustomer lifetime valuebet365
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