Process Data Scientist

Requisition

Location:

Zug, CH, 6300

Holcim is the leading partner for sustainable construction, creating value across the built environment from infrastructure and industry to buildings. Headquartered in Zug, Switzerland, Holcim has more than 48,000 employees in 45 attractive markets – across Europe, Latin America, Asia, Middle East & Africa. Holcim offers high-value end-to-end Building Materials and Building Solutions, from foundations and flooring to roofing and walling – powered by premium brands including ECOPlanet, ECOPact, and ECOCycle®.

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Holcim people are passionate about finding better ways to build. They embrace innovation and improvement with a pioneering spirit. They work as trusted partners, creating better solutions and experiences for their customers, communities, and colleagues.

Holcim is the leading partner for sustainable construction with net sales of CHF 15.7 billion in 2025, creating value across the built environment from infrastructure and industry to buildings. Headquartered in Zug, Switzerland, Holcim has more than 50 000 employees in 45 countries – across Europe, Latin America and Asia, Middle East & Africa – and has been recognized as a Global Top Employer by the Top Employers Institute.

Holcim offers high-value end-to-end Building Materials and Building Solutions, from foundation and flooring to walling and roofing – powered by premium brands including ECOPact, ECOPlanet, ECOCycle, and Ytong.

As we continue to look for more sustainable ways to build, we need world-class talent to join our team. People who are passionate about sustainability, driven by curiosity, and keen to grow, learn, develop, and thrive in our high-performance culture.

We are looking for an innovative Process Data Scientist, motivated to solve the bigger operational and energy challenges in our industry. Inspired to develop and deploy cutting-edge AI applications that enhance a new era of kiln and thermal efficiency, our Process Data Scientist is passionate about leveraging digital tools to optimize process stability, reduce fuel consumption, drive Alternative Fuel substitution, and curb CO2 emissions across our Plants of Tomorrow.

You will work on the algorithm design, Machine Learning development and deployment, and implementation of various manufacturing process optimisation initiatives including our flagship solution P-PREDICT.

You will also make sure these solutions integrate seamlessly our legacy and new Plant of Tomorrow technologies to realize our vision for sustainable cement manufacturing.

• Design, configure, and validate hybrid Machine Learning algorithms combining 1st-principles process physics and adaptive AI loops for calciner and kiln optimization.
• Develop predictive soft sensors for real-time process variables, like fuel calorific value forecasting of alternative fuels and clinker quality predicting.
• Build multi-variable target recommenders for control loops of our kilns and other equipment
• Use deep learning, time-series forecasting, and probabilistic models to predict operational hazards (such as ring formation risk, cyclone blockages, and pressure spikes).

• Responsible for the end-to-end lifecycle of models (including feature engineering, design, cloud/edge deployment, continuous tuning, and automated retraining pipelines).
• Work with our vendors on the deployment and customization of their solutions as well as on development of Holcim proprietary solutions.

• Design operational logic, reason codes, and metrics to be displayed on operator dashboards to ensure high…