INTERNSHIP DETAILS

Data Science Intern

CompanyHOLCIM Group
LocationIssy-les-Moulineaux
Work ModeOn Site
PostedMay 1, 2026
Internship Information
Core Responsibilities
The intern will design and implement data pipelines while developing and deploying machine learning models to predict large datasets. They will also collaborate with stakeholders to ensure data integrity and meet specific business data needs.
Internship Type
full time
Company Size
41787
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
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. We have more than 45 000 employees in 43 attractive markets – across Europe, Latin America and Asia, Middle East & Africa – and have 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 foundations and flooring to walling and roofing – powered by premium brands including ECOPact, ECOPlanet and ECOCycle.
About the Role

THE OPPORTUNITY

 

Context of the mission – Department presentation – Team organization

As a Data Science Intern, you’ll work closely with full-timers and learn the ins and outs of Health, Safety and Environment and help protect people and the planet. You will collaborate with the Data Science Manager on real-world projects we actually need done. This internship will allow you to learn how machine learning techniques are applied to model and predict large datasets. Working with real-world data will allow you to gain an understanding of the differences between theory and practice. If you’ve never considered a career in building materials, you’re not alone. Many of us here have been in a similar position before coming on board. If you are curious by nature, love finding solutions to complex problems, and are willing to join a diverse and international team, we believe you’re a good match. 

 

Missions

 

- Design and implement data pipelines and data storage solutions
- Ensure data quality and integrity by developing and implementing data validation and cleaning processes
- Develop and deploy machine learning models - Develop and maintain data documentation- Collaborate with stakeholders to understand their data needs and develop solutions to meet those needs

 

DESIRED PROFILE

 

Educational level / Training

Enrolled in a Master’s Degree in Computer Science, Engineering, Mathematics, Statistics, or a related field

 

Technical skills & professional experience:

- Strong programming skills in Python
- Knowledge of machine learning algorithms and techniques
- Understanding of data modeling and database integration principles - Experience with data visualization- Experience with big data processing technologies such as Spark or Hadoop

 

 Spoken languages:

  • Fluent in English

                                                                      

 FURTHER INFORMATION

 

Duration : 6 months

 

Start date : As soon as possible

 

Lafarge S.A. : 14/16 Boulevard Garibaldi, 92130 Issy-Les-Moulineaux (Be Issy, Ile de France)

Do you want to work in an international and dynamic working environment that helps you to grow? We are looking for future talents to join our team to build progress for people and the planet.

Key Skills
PythonMachine learningData pipelinesData modelingDatabase integrationData visualizationBig dataSparkHadoopData integrityData cleaningPredictive modeling
Categories
Data & AnalyticsTechnologySoftwareScience & ResearchEngineering