Gallagher Data Scientist Interview Questions
The questions to prepare for a Gallagher Data Scientist interview. Questions from real interview reports rank first. Updated daily.
Calculate Gallagher's monthly churn rate and six-month rolling average using CTEs and SQL window functions.
Interpret an experiment where the short-term primary metric improves but long-term retention worsens, and decide whether to ship.
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Explain the main statistical methods used in customer analytics and when each is appropriate.
Define a success metric for a new feature that captures real user value, not just raw usage.
Diagnose a sharp decline in client engagement and break it down into cohorts, funnel steps, and likely business drivers.
Assesses model evaluation and thresholding decisions for churn prediction.
Evaluates system design and operational readiness for LLM agent deployments.
Tests advanced NLP skills for building reliable retrieval-augmented generation systems.