Data science jobs in Retail industry

Data Science in Retail

Retail has become a data science-intensive sector, with companies building recommendation engines, demand forecasting models, dynamic pricing systems, and supply chain optimisation tools that directly impact revenue.

Common roles

Demand forecasters, pricing data scientists, customer segmentation analysts, and retail media ML engineers are active roles. Computer vision for inventory management and shelf analytics is a growing specialism.

Key skills

Python, SQL, time-series forecasting (Prophet, NeuralProphet, LightGBM), recommendation systems, A/B testing, and cloud data warehouses (Snowflake, BigQuery) are core retail data science skills.