About the role

You will build and deploy machine-learning models directly on plant data to cut energy consumption, improve equipment reliability, and tighten product quality across our cement operations. This is a hands-on modelling role embedded with process, operations and reliability

teams your work will be measured in real, finance-validated savings (kcal/kg clinker, kWh/tonne, avoided downtime), not slide decks.

Key responsibilities
- Build, validate and deploy ML models for process optimisation (kiln / pyro-process control, grinding & separator efficiency), predictive maintenance on critical rotating equipment, and quality / clinker-factor optimisation.
- Work with high-frequency sensor and time-series data from plant historians, DCS and IIoT systems; engineer meaningful features from noisy, real-world industrial signals.
- Partner with plant operators and process engineers to encode domain knowledge into models, and to take models safely from advisory recommendations toward closed-loop control.




- Establish rigorous baselines and quantify impact with finance-grade discipline; defend results under scrutiny.
- Work with the MLOps / platform team to productionise models and monitor them in live operation.
- Communicate findings clearly to non-technical plant leadership.

Required qualifications (must-have)
- Bachelor's or Master's in Engineering (Chemical, Mechanical, Electrical, Industrial), Statistics, Computer Science, or a related quantitative field.
- 36 years building and deploying ML models, including demonstrable experience in a manufacturing or process-industry setting (cement, steel, refining, chemicals, power, glass, mining, or similar).
- Strong applied skills in time-series analysis, sensor/signal data, anomaly detection, regression and forecasting, with a solid statistics foundation.
- Strong, idiomatic Python for data science (NumPy, pandas, SciPy, scikit-learn, statsmodels) with clean, tested, production-quality code; strong SQL.
- Deep com

📌 Senior Data Scientist For Manufacturing and Process AI (Gurugram)
🏢 JK Cement
📍 Gurugram