Wage gaps between gender and ethnic groups receive a lot of media coverage and are a major issue in our society. Identifying and addressing them effectively and accurately shields companies from lawsuits and bad publicity, whilst promoting equality and fairness. For large organizations it can be difficult to identify these gaps as they are spread across thousands or tens of thousands of employees in a variety of roles, locations, and work experiences. Analyzing this data correctly is important as surface level trends don’t always tell an accurate story at the individual level.
In this case study, we created a machine learning model to predict expected wages and determine the extent of this international stationary retailer's wage gap.