Top 11
Prep plan
Updated weekly · Last refresh Oct 17

AIG Data Scientist Interview Questions

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

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1
Model EvaluationStart here. 3 questions · ~24 min
Model Choice and MetricsHard

Evaluates model selection reasoning and metric-driven decision making.

Feature Engineeringmodel comparisonAIG
Bias in Ground TruthHard

Tests your approach to bias auditing in labeled datasets used for model evaluation.

CalibrationPrecisionAccuracyAIG
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2
Machine Learning3 questions · ~24 min
ML Lifecycle With Data DriftHard

Tests end-to-end delivery skills and monitoring and mitigation of post-deployment drift.

Cross-ValidationFeature EngineeringSupervised LearningAIG
ML Experience and Neural NetsMedium

Assesses depth of machine learning experience and hands-on neural network development.

Neural NetworksAIG
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3
More topics5 questions · ~40 min
Mitigate LLM HallucinationsMedium

Explain how to reduce hallucinations in an LLM using few-shot prompting and grounded examples.

Language ModelsText ClassificationTokenizationAIG
Optimize PySpark TransformationsMedium

Tests distributed data processing skills and performance optimization techniques.

InfrastructureETLBatch ProcessingAIG
Rigor vs Rapid IterationMedium

Tests how you manage tradeoffs between model quality and iteration speed in an insurance risk context.

Confidence IntervalsHypothesis TestingStatistical SignificanceAIG
Design a RAG for PoliciesHard

Tests ability to build retrieval-augmented NLP systems for unstructured insurance knowledge.

Language ModelsWord EmbeddingsTokenizationAIG
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