Data science jobs in Retail Apparel and Fashion industry

Data Science in Retail Apparel and Fashion

Fashion companies use data science for trend forecasting, demand planning, personalised styling recommendations, inventory optimisation, and return rate reduction.

Common roles

Fashion demand forecasting data scientists, personalisation ML engineers, visual search researchers, and data analysts supporting buying and merchandising teams are active roles.

Key skills

Python, computer vision for fashion attribute extraction, time-series demand models, recommendation systems, SQL, and experience with retail ERP and PLM data are valued in apparel data science.