Working Student - AI & Data Analytics in After Sales

Do you want to go beyond using AI in your studies and apply it to real business data? Then you’ve come to the right place! At EP Equipment, you won’t just use AI - you’ll help shape the productive use of generative AI in an international After Sales environment. This position is particularly suited to students of Business Informatics, Industrial Engineering, Business Administration, Data Science, Computer Science, or Logistics.

• Working with tools such as ChatGPT, Microsoft Copilot, Perplexity, DeepSeek, and Qwen while exploring new AI applications for real business challenges.
• Developing AI-powered processes together with the team to optimize spare parts inventory, support pricing decisions, and improve the efficiency of our international After Sales operations.
• Using generative AI to analyze international spare parts pricing and support data-driven pricing decisions.
• Building and maintaining data foundations for AI assistants.
• Creating dashboards and decision-support tools through effective prompt engineering.
• Preparing and analyzing reports, management KPIs, and business analyses.Identifying process optimization opportunities with the help of AI.

• Currently enrolled at an accredited university (required).
• You are studying Business Information Systems, Industrial Engineering, Business Administration, Data Science, Computer Science, Logistics, or a comparable degree program.
• Previous vocational training in industry or logistics is a plus, but not required.
• You already use generative AI in your studies or personal projects and are eager to further develop its practical application in a business environment.
• Good conversational English; German is an advantage.
• Availability to work 15-20 hours per week during the semester.
• Strong analytical thinking, a hands-on mentality, and a proactive attitude.
• An interest in logistics, forklifts, or spare parts management is an advantage.

Why us?

• Work directly with the Vice President After Sales.
• Gain valuable insights into the strategic decision-making of an international company.
• Collaborate closely with colleagues from Business Process Engineering, Warehouse
• Gain hands-on experience using modern AI tools in a real business environment.
• Develop prompt engineering strategies for real-world business cases.
• Gain insights into international supply chain operations.
• Work in an international team with colleagues representing 19 different native languages.
• Be involved with award-winning products, from intelligent forklifts to automation solutions.
• Opportunity to write your Bachelor’s or Master’s thesis with us, along with excellent prospects for a permanent position after graduation.
• Modern workplace combining industrial character with contemporary office facilities, conveniently located near the Von-Spar Straße and Schanzenstraße Nord public transport stations, with on-site parking and many additional benefits.

Get in contact with EP

Send us your CV together with a few lines explaining why you’re excited about applying AI in a real business environment and when you’re available to support us during the semester. We’d love to hear from you! recruiting@ep-equipment.eu EP Equipment Germany GmbH; Schanzenstraße 35; 51063 Cologne (Mülheim), At EP Equipment, we don’t just manufacture electric pallet trucks and forklifts-we’re revolutionizing the industry! Our startup spirit, combined with our global strength, allows us to deliver exceptional solutions to customers worldwide through a powerful network of partners. Innovation isn’t just a goal-it’s part of our daily operations. Agile working isn’t a buzzword here; it’s embedded in our DNA.