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Dual Study Program (DHBW) – Data Science and Artificial Intelligence (2027)

Data Scientist • Vor Ort • Vollzeit Deutschland Herzogenaurach, Deutschland

Schaeffler offers a dual study program in Data Science and Artificial Intelligence, in partnership with DHBW Mannheim. The 3-year program alternates between practical phases (Herzogenaurach and Nuremberg) and university studies, leading to a Bachelor of Science degree, starting fall 2027.

Responsibilities

  • Applied research and practice-oriented teaching of business and IT fundamentals (e.g. business administration, law, finance, mathematics, statistics, programming, data management & analytics, databases, big data technologies, cloud computing, web and mobile applications, machine learning, artificial intelligence, IT security)
  • Learn IT-driven business processes at a globally operating company through practical placements in various business areas (e.g. Data Science Solutions, project management, purchasing, sales, HR, reporting, S4, IT security management, Enterprise Applications, engineering IT, IT infrastructure and platforms, strategic digitalization)
  • Opportunities for stays abroad (worldwide)
  • Independent, responsible project work
  • Bachelor's thesis

Requirements

  • General higher education entrance qualification (alternatively DHBW admission exam)
  • Enthusiasm for digitalized business processes
  • Interest in business economics and IT
  • Good mathematical skills and English knowledge
  • High willingness to learn, initiative and goal orientation
  • Motivation and ability to work in teams

Soft skills

IndependenceTeamworkWillingness to learnGoal orientation

About the company

Schaeffler is an international technology group that combines the excitement of a global player with the culture of a family business. As a leading supplier of rolling bearings and a key partner in the international automotive industry, it offers an excellent environment for career starters.

Languages: Angol: középfok
Education: Érettségi (vagy DHBW felvételi vizsga)

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