Dual study program: ''Data Science & Artificial Intelligence'' (f/m/d), start 2026

HENSOLDT is a leading company in the European defence industry with global reach. Located in Taufkirchen near Munich, the company develops complete sensor solutions for defence and security applications. As a technology leader, HENSOLDT is driving the development of defence electronics and optronics and continuously expanding its portfolio on the basis of innovative approaches to data management, robotics and cyber security. Our products can be used in the areas of Space, Air, Land, Sea, Security, Cyber & Information Space. In 2023, HENSOLDT achieved sales of 1.85 billion euros. After the acquisition of ESG GmbH, the company employs about 8,500 employees. HENSOLDT is listed on the Frankfurt Stock Exchange in the MDAX. At the Immenstaad site, we are looking for an dual student for the Data Science & Artificial Intelligence degree program at the 01.09.2026. Dual Studies: ''Data Science & artificial intelligence'' (w/m/d), Start 2026

The share of the study at the Ravensburg University of Applied Sciences provides the theoretical basic knowledge of the practical aspects of the company in which we offer a direct insight into the field of work. Theory and practical components change regularly. In the theoretical phases of the study, content from the fields of programming, big data & data management, data analytics as well as artificial intelligence & machine learning are also taught in addition to the basics of business informatics, BWL and law. In practice, our students as part of the team, depending on the progress of their studies, take appropriate project tasks up to the Bachelor thesis. You are thus active in a responsible environment of the company and gain insights into project management, AI & AI, into big data management and many more. Qualified supervisors and coaches are always available. There are a wide range of perspectives at HENSOLDT.

General university maturity or comparable degree Interest in complex economic relationships, mathematics and computer science Team skills, commitment, flexibility Good knowledge of German and English

Flexible working hours & work-life balance Remuneration & social benefits Personal and professional development Working atmosphere Health and prevention Mobility & Sustainability