Internship - AI Deployment Intern F/HSaint-Gobain

We are looking for a 6 month intern who will contribute to Vetrotech's overall business strategy by supporting the identification, coordination, and deployment of AI use cases that deliver immediate and measurable business value. The intern will work on pragmatic, use‑case‑driven AI initiatives embedded in existing business processes, collaborating closely with the Business, Digital, IT (central & BU), Data, and Cybersecurity teams.

AI Projects Deployment Coordination (70%)

• With the support of IT & business teams, identify and prioritize business challenges that can be converted into AI use cases based on business value and effort/ time of implementation.
• Translate those business challenges into AI use cases.
• Coordinate with Business, Digital Solutions, IT, Data and Cybersecurity teams to drive AI projects that deliver tangible value.
• Support the development, testing, and implementation of AI-powered workflows and tools across the Business Unit.
• Develop POCs for new use cases identified to improve customer experience and/or process improvements using AI.
• Ensure alignment with architecture, data governance, and security requirements from Central IT team.

Trainings & Enablement in coordination with HR (30%)

• Design & deliver effective training & onboarding programs for various business teams across the organization (Sales, Marketing, Operations, Finance, Procurement, etc).
• Create documentation & handbooks to help end-users get the most out of AI powered tools.
• Gather feedback from users by acting as a central point of contact for AI-related topics.

About the Role
We are looking for a motivated and analytically driven individual to support our AI and data‑related initiatives. You will contribute to applied AI projects, support business transformation, and help create value through data‑driven insights. This role is ideal for someone eager to work on concrete AI applications while continuously learning in a dynamic environment.

Education Requirements

• Bachelor's or Master's degree in Engineering, Data, AI, Business Analytics, Information Systems, or a related field.

Experience Requirements

• Proven first internship or academic experience working on AI projects.

Self‑Competencies

• Strong analytical skills and a focus on creating business value.
• Decision‑making ability.
• Creativity and innovation skills.
• Adaptability and flexibility.

Social Competencies

• Ability to communicate clearly
• Customer oriented
• Capacity for teamwork

️ Technical Skills

• Strong understanding of AI, data analytics, automation, or digital tools.
• Interest in applied AI rather than pure research.
• Strong interest in AI technologies (Gen AI, Prompt Engineering, Agentic AI).
• Familiarity with Data Science Tools (e.g., Python/SQL/R/Spark/Hadoop).
• Knowledge of AI & Machine Learning.