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Job title: (CEN) GLOBAL DATA SCIENCE INTERN
Jobs Cemex Com
Publiée le
04/06/2026
Contrat
Stage · Inconnue
Localisation
, Lyon, 69008, France
Taille équipe
Inconnue emp.
Rémunération
Inconnue
Missions clés
Identifier et mapper data sources et développer queries · Process data · Formulate hypotheses, design experiments · Développer statistiques validation tests · Perform feature engineering · Développer prediction prescription models · Validate and improve models
Profil recherché
0-1 ans d'expérience · Créativité · Communication
Outils & compétences
Scripting, R, Python, SQL, Hive, Python
Le poste en détail
Semester(s): 5th – 10th semester
Degree(s): ITC, Mathematics, Data Science, Actuarial Science, Industrial Physics, Mechatronics
Tentative Start Date (month): November 2025
Project Objective
Support the Global Data Science team in the phases of problem exploration and definition of descriptive, predictive, and prescriptive models, as well as in visualization tools and model consumption. Also, provide support in data and model validati
Challenges for the Student
Understand business needs
Generate value through exploratory data analysis
Work in a team and be results-oriented
Use the technology stack used at CEMEX for data science (Jira, Python, SQL, Databricks, Snowflake)
Main Responsibilities and Activities
Identify and map data sources and develop queries
Process data and conduct exploratory data analysis using visualization dashboards
Formulate hypotheses, design experiments, and develop statistical validation tests
Perform feature engineering
Develop prediction or prescription models using Machine Learning or other Artificial Intelligence techniques
Validate and improve models
Required Skills, Competencies, and Knowledge
Programming in scripting languages such as R or Python (preferably Python)
Familiarity with visualization dashboards such as Tableau or PowerBI
Desirable knowledge of CSS, HTML, Snowflake
Teamwork
Storytelling with data (visualizations, statistical hypothesis testing)
Problem-solving orientation