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Paid Internship
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Time Spent
Required Degree
Duration

24Open Positions

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Werkstudent im Bereich (Gen)AI Transformation Management (m|w|d)

Munich Re
Found 2 months ago
Location
Munich, Germany
Duration (Months)
6 Months
Time
Part-time
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • (Gen)AI
  • AI technologies
  • data
  • AI concepts
  • technical systems

Soft Skills

  • Strong interest in (Gen)AI, digital transformation, and the application of AI technologies in a business context
  • Structured and analytical way of working
  • Ability to understand, organize, and further develop complex topics
  • Ability to prepare clear, concise, and decision-oriented materials for different stakeholder groups

Job Description

Development, structuring, and documentation of (Gen)AI use cases with relevance for organization-wide business processes with Data Scientists and Product Owners * Contribution to organization-wide (Gen)AI initiatives and communication supporting the sustainable adoption of AI solutions (incl. AI governance) * Preparation of presentations, analyses, and decision documents for business and management stakeholders * Participation in the planning and execution of (Gen)AI workshops, use case ideation sessions, and internal exchange formats * Performance of analytical, conceptual, and coordination tasks within the (Gen)AI Transformation Office

Requirements

  • Enrolled student (Bachelor’s or Master’s) in Business Administration, Economics, Computer Science, Data Science, Engineering, or a comparable field with a technical or analytical focus
  • Solid understanding of data, AI concepts, or technical systems, with the ability to discuss technical topics at a conceptual level
  • Structured and analytical way of working, with the ability to understand, organize, and further develop complex topics
  • Ability to prepare clear, concise, and decision-oriented materials for different stakeholder groups

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English
  • German

Nice to Haves

  • German skills are a plus
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