Data Scientist
Statistical modelling, experimentation, prediction and turning data into business decisions.
Statistical modelling, experimentation, prediction and turning data into business decisions.
Preparing data, training baseline models and evaluating results for practical machine learning problems.
Credit score development, validation, portfolio monitoring, affordability and responsible lending decisions.
Preparing lending data, evaluating credit models and checking whether predictions are useful, fair and explainable.
NLP data design, model evaluation, production trade-offs and robust handling of varied language.
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