Job title:  (CEN) GLOBAL DATA SCIENCE INTERN

Jobs Cemex Com

Stage , Lyon, 69008, France FoodTech
Publiée le
04/06/2026
Contrat
Stage · Inconnue
Localisation
, Lyon, 69008, France
Taille équipe
Inconnue emp.
Rémunération
Inconnue
Inconnue 0-1 ans exp. Francais

Avantages

Incentives à long terme
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