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Updated weekly · Last refresh Aug 30

Thomson Reuters Data Scientist Interview Questions

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

36questions
~5htotal time
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1
A/B Testing & ExperimentationStart here. 3 questions · ~24 min
Pitfalls in Streaming Experiment AnalysisHard
Recently asked

Identify major online experiment pitfalls and explain how they can bias results in a streaming product A/B test.

Network InterferenceNovelty EffectSample Ratio MismatchThomson Reuters
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2
Machine Learning12 questions · ~97 min
Handling Class Imbalance in ClassificationMedium
Recently asked

Explain practical ways to train and evaluate a classifier when the target classes are highly imbalanced.

model trainingSupervised LearningClass ImbalanceThomson Reuters
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3
Behavioral & Leadership8 questions · ~65 min
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4
More topics13 questions · ~105 min
Diagnose KPI Drop After ReleaseMedium
Recently asked

Diagnose a post-release KPI drop by separating instrumentation issues from real behavior changes and tracing the problem through the metric hierarchy.

KPILeading IndicatorsDiagnosisThomson Reuters
Interpreting P Values in TestingEasy
Recently asked

Explain what a p-value means in hypothesis testing and how it relates to statistical significance.

Hypothesis TestingStatistical SignificanceP-ValuesThomson Reuters
RAG Legal Q&A ArchitectureHard
Recently asked

Tests ability to design retrieval and generation components for legal question answering.

Feature StoreRetrievalModel ServingThomson Reuters
Rolling Activity with SQL WindowsMedium
Recently asked

Tests SQL window function proficiency for cohort analytics and ranking.

Window FunctionsRankingRunning TotalsThomson Reuters
Evaluating a Generative ChatbotHard
Recently asked

Tests evaluation design for quality, safety, and readiness for customer-facing generative AI.

Evaluation TechniquesClassificationModel MetricsThomson Reuters
Metrics and Guardrails for SearchHard
Recently asked

Tests product sense for defining success metrics and safety guardrails in search.

MetricsUser NeedsProduct VisionThomson Reuters
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Hands-on SQL practiceWrite and run real queries in the editor. 3 drills · ~30 min
Monthly Sales Aggregation by Product CategoryEasy
Practice
Recently asked
Practice drill

Aggregate monthly sales totals by product category using JOINs, GROUP BY, and date formatting.

WalgreensRevLatentView Analytics
Top Customers by Region VolumeMedium
Practice
Practice drill

Find the top 3 customers in each region by transaction volume using joins, aggregation, and window ranking.

Window FunctionsJoinsRankingJPMorganChaseSilicon Valley BankNavi
SQL Rolling Average and RankingHard
Practice
Practice drill

Use CTEs and window functions to calculate 7-day transaction averages and rank Loft users within each region.

Window FunctionsRankingRunning TotalsLoftArcadisCgi Nederland
The finish line: interview-readyComplete all 36 questions plus 3 hands-on drills to finish this plan.