Wonga Data Scientist Interview Questions
The questions to prepare for a Wonga Data Scientist interview. Questions from real interview reports rank first. Updated weekly.
Build and justify a credit default classifier using traditional ML, showing model selection, feature engineering, validation, and explainability.
WongaBuild a supervised classification model to predict 12-month loan default using credit, financial, and application features.
WongaBuild and compare overfit and regularized classifiers for loan default prediction, and show how cross-validation reduces generalization error.
WongaExplain which classification metrics to use and how metric choice depends on the business objective and error tradeoffs.
WongaTests your ability to trade off model performance and explainability for business stakeholders.
WongaTests your evaluation metrics and success criteria for imbalanced classification problems.
WongaExplain what drives your interest in data engineering, grounded in user needs and the value created by reliable data systems.
WongaA framework for connecting user needs to business goals, then making product decisions with clear trade-offs and measurable outcomes.
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