Barclays Data Scientist Interview Questions
The questions to prepare for a Barclays Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Calculate the monthly spending trends for customers using window functions and joins.
BarclaysAggregate active portfolio exposure by counterparty using LEFT JOINs, conditional filters, and GROUP BY.
BarclaysUse a CTE, join, and dense ranking to return each client's second-highest distinct transaction amount.
The Ameriprise
Tata Consultancy Services (North America)
Wells FargoPractical approach for maintaining data quality across ML ETL pipelines, orchestration, and repeatable data processing.
BarclaysSign up to see every question
Create a free account to unlock this list and practice real interview questions.
Approach for diagnosing and fixing a model that underperformed after deployment.
BarclaysSegment customers into actionable groups using clustering and engineered behavioral features.
BarclaysUse a two-proportion z-test to determine whether a new ranking model significantly improves recommendation CTR in an A/B test.
BarclaysDecide whether a multi-armed bandit is appropriate for a growth experiment versus a fixed-horizon A/B/n test.
BarclaysDefine a success metric for a new feature that captures real user value, not just raw usage.
BarclaysDistinguish vanity metrics from metrics that drive decisions in a growth review.
Barclays