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Work Student AI (Part-time) @ megagrouptrade

PLOnsiteFull-time
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About this role

MegaGroup Trade Holding is a network of technical wholesalers providing water solutions across 10+ locations in Europe. Kick ‑ start your career as our Working Student AI! Availability: Part-time (flexible, alongside studies) Location: Poland, with hybrid working arrangements depending on local team set-up and project needs. Are you a Bachelor’s or Master’s student in Artificial Intelligence, Data Science, Computer Science or a related field, and do you want to learn how AI can be applied to real business processes? Join a fast-growing international company where you can develop your understanding of processes, data, automation and generative AI while contributing to practical AI ideas with visible impact in an international setting. YOUR MISSION MegaGroup Trade Holding is an international technical wholesaler specializing in water solutions that improve people’s lives. We take pride in addressing global water challenges and supporting sectors such as Irrigation, Livestock, Swimming pools, Building services, and industry. As a Working Student AI at MegaGroup, you will support the exploration and development of AI opportunities across our business in the Netherlands, Poland and other European countries where relevant. Together with colleagues from different departments, you will learn how their processes work, where challenges or inefficiencies arise, what data is available and how AI could potentially create practical value. You will help turn process knowledge and business questions into feasible AI use cases, proof-of-concepts and small, testable prototypes. The focus is on learning, practical value, responsible use of AI and understanding what works in a real organisational context. WHAT'S WAITING FOR YOU? Work on practical AI, data and automation projects rooted in real business needs Learn to understand and map business processes before exploring possible AI solutions, with guidance from experienced colleagues Collaborate closely with technical and non-technical colleagues across departments, countries and cultures Explore opportunities in areas such as forecasting, process automation, data quality, reporting, decision support, knowledge management and generative AI use cases Help translate business processes and operational challenges into data-driven ideas, proof-of-concepts and simple AI prototypes using appropriate tools and methods Learn how AI works in a real organizational context — including what doesn’t work Learn about responsible AI adoption, including data privacy, quality, bias, explainability and practical limitations

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