PROTEC-LUXEMBOURG: Internship in Data Science

Job Description

Main tasks

• Collaborate with cross-functional teams to gather requirements and define the project scope.
• Develop reliable algorithms and architecture to extract chemical data and potential risks.
• Design and implement a user-friendly digital tool for chemical risk assessment that will be interfaced with SAP EHS.
• Test and validate the tool to ensure accuracy and reliability.
• Provide training and support to Business Team on using the tool.
  
  

What we’re looking for

We are seeking a motivated and versatile individual to join our team as a Data Science Intern.

Specific Knowledge

• Education: Currently pursuing a master’s degree in Computer Science or related field (end-of-studies internship)
• Languages:
• English (mandatory)
• French (optional)
• Skills:
• Data Science
• Large Language Models
• Retrieval-Augmented Generation
• Web Application Development
• HTML, CSS, JavaScript
• Node.JS, Java, etc
• SQL, NoSQL
• Version Control System (Git)
• Soft Skills
• Analytical and problem-solving skills
• Ability to work collaboratively with cross-functional teams.

How we recruit

We are committed to building an inclusive organisation where everyone feels supported and valued. We need people with all sorts of backgrounds, experiences, perspectives and personalities to help us decarbonise steel manufacturing. Every person who applies to join ArcelorMittal receives equal employment opportunities, regardless of ethnicity, gender, sexual orientation, age, disability, socioeconomic background, and any other protected status.

We thank all those who apply.

We will only contact applicants selected