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Prep plan
Updated weekly · Last refresh Aug 30

AIG Data Scientist Interview Questions

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

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1
Machine LearningStart here. 3 questions · ~24 min
VAE vs GAN ChoiceHard

Tests depth of generative modeling knowledge and decision-making between model families.

Hyperparameter TuningNeural NetworksDeep LearningAIG
ML Lifecycle With Data DriftHard

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

Cross-ValidationFeature EngineeringSupervised LearningAIG
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2
Model Evaluation3 questions · ~24 min
Bias in Ground TruthHard

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

CalibrationPrecisionAccuracyAIG
Measure LLM SummariesHard

Tests evaluation design for LLM outputs in a real insurance workflow.

PrecisionAccuracyRecallAIG
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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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