Labour Market Pricing Model
Predicts fair salary bands from job listings using interpretable machine learning
I analysed how job listing signals such as role level, skills, work arrangement, location, demand, and talent supply can be used to estimate fair salary bands. The project reframes salary benchmarking into a data-driven labour market pricing framework, showing how salary drivers can guide skill funding, training allocation, and workforce planning decisions.