Data science jobs in Manufacturing industry

Data Science in Manufacturing

Smart manufacturing relies on data science for predictive maintenance, quality control, production yield optimisation, and supply chain demand forecasting. Industry 4.0 investment is creating sustained demand for data talent.

Common roles

Predictive maintenance data scientists, quality control ML engineers, supply chain analytics leads, and manufacturing data platform engineers are active roles across discrete and process manufacturing.

Key skills

Python, time-series anomaly detection, computer vision for defect detection, digital twin modelling, IoT data ingestion, and experience with industrial data protocols (OPC-UA, MQTT) are valued.