Skills highlighted in blue are preferred key skills
Prepare datasets, engineer variables and investigate patterns before modelling. Work across forecasting, classification, regression, segmentation or nlp use cases. Explain model assumptions, limitations and business implications clearly. Partner with data engineers to obtain reliable production features. Monitor model quality and investigate drift or unexpected behaviour. Bring practical python, sql, statistics and machine-learning capability. Solve business problems using predictive modelling and advanced analytics.
Opportunity for a AI Data Scientist to contribute to a growing technology, analytics, enterprise applications, or sales function.
Client Company