Data Science Consultant (m/w/d)
Invensity GmbHStuttgart, Baden-WĂĽrttemberg, Germany
Posted October 14, 2025
Full Time
About the Company
Invensity GmbH is a global technology and innovation consulting firm with offices across Europe and the United States, delivering end‑to‑end solutions in systems engineering, AI, cyber security, and process automation. Leveraging its proprietary Academy and Innovation Center, the company provides continuous, high‑impact training and one‑on‑one mentorship that equips consultants with the expertise to drive research and development for leading organizations. Its portfolio spans safety management, organizational change, project management, ASPICE compliance, and M&A advisory, enabling clients to integrate advanced analytics, sensorics, and agile practices into their product lifecycles. By combining deep technical know‑how with a culture of continuous learning, Invensity differentiates itself as a partner that not only implements solutions but also builds sustainable innovation capabilities within client teams.
Job Description
Data analysis, algorithmic development, and interdisciplinary collaboration as a Data Science Consultant in Stuttgart, Germany.
Requirements
- Bachelor's degree in Physics, Mathematics, Computer Science, Data Science, Electrical Engineering, Statistics, or comparable courses
- At least 3 years of professional experience in Data Science
- Solid knowledge of processing large data sets and understanding of statistical structures
- Very good programming skills in Python
- Experience with technologies like Kubernetes, Jenkins, Apache Spark, or Apache Airflow is a plus
Benefits
- Welcome to the team! onboarding program
- Steep learning curve through varied tasks
- Personal and professional development through mentoring and coaching
- Unique atmosphere and valuing corporate culture
- Global network through collaboration with experts
- Flexibility of work and private life
- Attractive opportunities for advancement
- Performance-based compensation package
- Commuting costs covered
