Intern Supply Chain Management (AI in Logistics Planning) at LEONI

Kitzingen, Bavaria, Germany -

Full Time

Start Date

Immediate

Expiry Date

05 May, 26

Salary

0.0

Posted On

04 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Supply Chain Processes, Data Analysis, Automation, Digitalization, AI, Logistics, Procurement, Inventory Management, Excel, Power BI, Python, SQL, SAP, SAC, Analytical Thinking, Intercultural Experiences

Industry

Motor Vehicle Manufacturing

Description

Company Description LEONI is a global provider of products, solutions, and services for energy and data management in the automotive industry. With around 86,000 employees in 21 countries and EUR 3,9 billion in sales in 2025 (excluding the former Automotive Cable Solution division), we are a leading supplier of complex wiring systems and customer‑specific cable harnesses. We believe that meaningful connections drive innovation and success. At LEONI, you will join a diverse, international, and collaborative team shaping the future of mobility, from autonomous driving to alternative drives and smart charging solutions. Since 2025, we have been part of the Luxshare Group, a global technology company headquartered in China. Together, we are shaping the future of mobiliy. Join us and help drive the transformation of the automotive world. Job Description As part of our international internship program, you’ll gain hands-on experience in automation and digitalization across two global locations – Germany and Tunisia. You’ll work on real projects, explore smart manufacturing technologies, and actively contribute to LEONI’s digital transformation journey. The internship is structured into three phases: Onboarding in Kitzingen, Germany (approx. 2 months) Get to know LEONI’s culture, production& logistics processes, and automation strategy. Practical experience in Tunisia (approx. 2 months) Apply your skills in a real production environment and work directly in one of our plants. Wrap-up in Kitzingen, Germany (approx. 2 months) Present your findings and help translate your experience into actionable strategies. Tasks: Analyze existing tools and systems to identify opportunities for AI and Digitalization in the area of Supply Chain Planning Co-developing AI-supported processes and tools related to Supply Chain Planning (e.g. automatic extract of relevant data from external documents, automated checks of customer requirements & documents, support in automating cost calculations and quotations) Supporting in the analyzing, cleansing and preparing data Qualifications You are currently enrolled at a German university You are pursuing a degree in a relevant technical field (e.g. Industrial Engineering, Business Informatics) You are tech-driven and demonstrate analytical thinking You have a basic understanding of supply chain processes such as planning, logistics, procurements, or inventory management You have basic knowledge of data analysis tools (e. g. Excel, Power BI, Pyhton, SQL, SAP, SAC) You are open to intercultural experiences and global collaboration You have working proficiency in both Mandarin and English You are available for the full 6-month internship period Additional Information Structured international internship with real impact Hands-on experience in automation and digitalization Insights into production processes and innovation at LEONI Possible career opportunities at LEONI or Luxshare after graduation Targeted onboarding and close guidance from day one Early responsibility Networking opportunities International teamwork Support with accommodation and travel arrangements in Tunisia People of all genders are always meant equally; for linguistic simplification and better readability, only the masculine form is used in the text. LEONI processes your application data in an IT-system that is consistent across the company and uses Foreign Service providers. By sending your application, you agree to this procedure. LEONI ensures the compliance with data protection. LEONI Bordnetz-Systeme GmbH Working Model: Onsite Contact: Nadine Koch; +49 9321 304 5460

Responsibilities

Interns will analyze existing tools and systems to identify opportunities for AI and digitalization in supply chain planning. They will co-develop AI-supported processes and tools and support data analysis and preparation.