Social Scientist / Specialist Data & Innovation | Sozialwissenschaftler (m/w/d)

Leipziger Verkehrsbetriebe GmbH

Leipzig, Sachsen, Deutschland
Published Feb 20, 2026
Full-time
No information

Job Summary

As a Specialist for Data & Innovation at Leipzig's public transport provider (LVB), you will play a pivotal role in shaping the future of urban mobility. Your day-to-day responsibilities involve driving the implementation of AI and digital strategies, identifying technological potentials, and advising various departments on innovative use cases. You will bridge the gap between technology and people by designing and leading workshops, training sessions, and community formats focused on AI, Robotic Process Automation (RPA), and emerging technologies. This role is highly collaborative, requiring you to support data-driven decision-making processes and contribute to enterprise-wide data architectures. The position is particularly attractive for those looking to apply social science or IT expertise in a concrete, impactful setting within a modern municipal company. You will benefit from a permanent contract, flexible working models, and the opportunity to work on 'lighthouse' projects involving coding and customizing for digital transformation.

Required Skills

Education

Master's degree in Information Technology, Economics, or Social Sciences.

Experience

  • Several years of professional experience in data-driven projects (e.g., as a Digital Consultant, Innovation Manager, or Data Architect)
  • Proven experience in implementing AI and digital strategies
  • Experience in conceptualizing and conducting training and community formats for new technologies
  • Experience with both agile and traditional project management methodologies
  • Professional background in advising departments on technological potentials and use cases

Languages

Not specified

Additional

  • Must apply by March 20, 2026. Permanent 38-hour work week. Remuneration according to TV-N Sachsen. Requires submission of salary expectations and earliest possible start date.