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We are looking for a Business Analyst who enjoys sitting at the intersection of business, technologyand AI. Someone able to listen to a business team, capturea rough idea, and turn it into a formal, documented use case with a clear scope, a quantifiedROIand a delivery pathway that creates real value for the Group.
The internshipwill focus on fourmain areas
Meet business teams to understand their needs, painpointsand ideas for AI.
Help identify and describe relevant AI/ML, GenAI or Copilot opportunities.
Ask the right questions to clarify the value, feasibility and expected outcome.
Formalization,ROIand business case
Structure use cases with scope, target users, expected benefits, dataneedsand risks.
Support simple business case preparation, including assumptions, benefits and high-level ROI logic.
Prepare clear summaries to support prioritization discussions.
Deliveryand adoption
Support selected AI initiatives by coordinating inputs, documentingprogressand following up on actions.
Contribute to Copilot adoption through examples, prompts, tips and user support material.
Help prepare workshops, demos and communication material for end users.
Continuous improvement and reporting
Collect user feedback and helpidentifyimprovement opportunities.
Maintain simple dashboards or KPI follow-up files on usage, adoption and value.
Share observations and suggestions with the team to improve adoption activities.
Key Skills
Strong analytical mindset: framing problems, structuring information, building sound business cases.
Comfortable navigating complex, multi-business environments and translating between business and tech.
Genuine interest in AI/ML and Generative AI – you do not need to be a hard-core engineer, but you should be eager to build a solid understanding.
Financial literacy: comfortable with ROI logic, assumptions, cost/benefit reasoning.
Pr ofile we are looking for
Solid written and spoken communication in English; French is a plus.
Master's orBachelor'sstudent (apprenticeship-compatible program) in one of the following areas:
BusinessAnalysis/ Digital Business
Digital Transformation / IT Management
Management Engineering / Business Engineering
You are availableto start in September fora period of 1to2 years
Curiosity and drive to learn – AI is moving fast, and so should you.
Autonomy,initiative,and structured way of working.
Ability to explain complex topics in simple termsto non-tech-savvyaudiences.
Field mindset: you enjoymeetingpeople where the workhappens.
Constructive challenge: you push back with data and arguments, not opinions.
What you will get out of it
Hands-on experience deploying AI at scale in a European industrial group.
Exposureto abroadAIportfolio:GenAI,Copilot, ML, intelligent agents and more.
Direct interactionwiththe AI Council and the GroupStrategyteam– rarevisibilityfor aninternshiprole.
Hands on experience as arare hybrid profile at the crossroads of business,technologyand AI – highly valued on the job market.