Process Data Scientist — Holcim Group
- Location
- Zug
- Contract
- full-time
- Posted
- Yesterday
Role overview
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. Role Overview
- 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.
- Main Responsibilities
- Machine Learning & Physics-AI Hybrid Model Design, Tuning, and Validation:
- Level of education/qualifications normally required:
- MS or PhD in Computer Science, Chemical Engineering, Data Science, Electrical Engineering, Systems & Control, or equivalent fields.
Main responsibilities
- Main Responsibilities
- Machine Learning & Physics-AI Hybrid Model Design, Tuning, and Validation:
- 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). Model Lifecycle Management:
- 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.
- Explainable AI (XAI) & Operator Interface Integration:
- Design operational logic, reason codes, and metrics to be displayed on operator dashboards to ensure high explainability and user trust.
Key requirements
- Level of education/qualifications normally required:
- MS or PhD in Computer Science, Chemical Engineering, Data Science, Electrical Engineering, Systems & Control, or equivalent fields.
What the company offers
- Hybrid work contract
- Family Support: Subsidized child care and paid maternity/paternity leave
- Professional Growth: Company-sponsored training and professional development.
- Discounts and Perks: Subsidized meals, exclusive discounts, and company gifts for special occasions. Long-service awards Employee referral bonus
- Pension and Savings: Access to a comprehensive pension fund and an employee savings scheme.
- Holcim is committed to a diverse and inclusive workplace.
- We support equal opportunities for everyone, regardless of race, national origin, gender, sexuality, disability, or age.
- We do not use Gmail or any other non-Holcim domains to conduct recruitment processes.
- Please verify the sender address before responding.
Application process
- 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.
- C3.ai Certifications (C3.ai Data Science, C3.ai V8 Data Science/Application Development) or equivalent enterprise AI framework certification (Advantage). Experience
- 3+ years’ experience in applied Machine Learning and Data Science projects focused on heavy industry process optimization (cement, chemical, energy, or mineral processing preferred).
- 2+ years’ experience productizing and scaling ML models in production environments (both Cloud and EDGE).
- 2+ years’ experience in industrial change management, coaching, and technical knowledge transfer to guarantee full plant adoption of digital control systems (Advantage). Technical Competencies
- Applied Machine Learning expertise: Anomaly detection, time-series forecasting, regression analysis, probabilistic modeling, supervised classification, and unsupervised learning.
Contacts
- Important Notice: Holcim recruiters only contact candidates via official @[holcim.com] email addresses.
Additional details
- 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.
- Use deep learning, time-series forecasting, and probabilistic models to predict operational hazards (such as ring formation risk, cyclone blockages, and pressure spikes). Model Lifecycle Management:
- Collaborate closely with process engineers and plant operators to translate operational knowledge into accurate model boundaries. Field Adoption & Knowledge Transfer:
- C3.ai Certifications (C3.ai Data Science, C3.ai V8 Data Science/Application Development) or equivalent enterprise AI framework certification (Advantage).
- 2+ years’ experience in industrial change management, coaching, and technical knowledge transfer to guarantee full plant adoption of digital control systems (Advantage). Technical Competencies
- Discounts and Perks: Subsidized meals, exclusive discounts, and company gifts for special occasions. Long-service awards Employee referral bonus
Notes and original content
- Role Overview
- Use deep learning, time-series forecasting, and probabilistic models to predict operational hazards (such as ring formation risk, cyclone blockages, and pressure spikes).
- Model Lifecycle Management:
- Collaborate closely with process engineers and plant operators to translate operational knowledge into accurate model boundaries.
- Field Adoption & Knowledge Transfer:
- Your Profile
- Experience
- 2+ years’ experience in industrial change management, coaching, and technical knowledge transfer to guarantee full plant adoption of digital control systems (Advantage).
- Technical Competencies
- Discounts and Perks: Subsidized meals, exclusive discounts, and company gifts for special occasions.
Questions about this listing
What salary does Holcim Group offer for this role?
Holcim Group lists CHF 69'500 - 106'000 gross per year for this position in Zug. This is the salary published in the original listing (or, when the employer omits a figure, a realistic estimate for the role and sector) — the calculator on this site converts it to your actual net take-home once cross-border tax and social contributions are applied.
Is this a full-time role, and what type of contract does Holcim Group offer?
This listing is a full-time position. The contract type shown here comes directly from the employer's original posting; always confirm exact hours, notice period and probation length with Holcim Group during the application process, since these details can vary by role even within the same contract category.
Do I need a cross-border work permit for a role in Zug?
EU/EFTA residents living in the border zone of the country adjoining Canton Zug can apply for a G permit; the Swiss employer files it with that canton's migration office after the contract is signed. Border-zone rules and processing times vary by neighbouring country and canton, so confirm the specifics with Zug's cantonal migration office or with HR during the application.
How do I apply for this position at Holcim Group?
Use the "Apply now" button on this page — it links directly to Holcim Group's original listing at careers.holcimgroup.com, so your application goes straight to the employer's own applicant-tracking system. Frontaliere Ticino does not collect or forward applications itself.
