Top 25
Prep plan
Updated weekly · Last refresh Aug 30

Accenture Data Scientist Interview Questions

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

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1
SQL & Data ManipulationStart here. 4 questions + 2 drills · ~54 min
2
Product Sense4 questions · ~34 min
Balance Conversion and RetentionHard

Framework for deciding when to favor short-term conversion gains versus long-term retention in a product decision.

Feature PrioritizationUser NeedsValue PropositionAccenture
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3
A/B Testing & Experimentation4 questions · ~34 min
Plan Sample Size for In-App ExperimentMedium

Estimate sample size and power for an experiment, define MDE and guardrails, and decide whether the test is worth running.

MDEPower AnalysisSample SizeAccenture
Pitfalls in Concurrent ExperimentsMedium

Assesses your awareness of interference, contamination, and validity risks in multi-test environments.

user baseAccenture
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4
Statistics & Probability4 questions · ~34 min
Handle Seasonality and ShocksHard

Assesses your ability to build robust time-series analyses under real-world confounders.

seasonalityAccenture
Significance With Skewed MetricsMedium

Tests your methods for reliable inference under non-normal, skewed data.

Hypothesis TestingStatistical SignificanceAccenture
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5
Behavioral & Leadership6 questions · ~51 min
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6
More topics3 questions · ~25 min
Investigate User Engagement DeclineMedium
Recently asked

Investigate a 15% engagement decline by decomposing the metric, isolating root causes, and proposing actions.

RetentionDiagnosisEngagement MetricsAccenture
Prevent Churn Model Data LeakageHard

Evaluates your feature engineering discipline to avoid training-test contamination.

predictive modelingFeature EngineeringAccenture
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The finish line: interview-readyComplete all 25 questions plus 2 hands-on drills to finish this plan.