Our 4flow research team conducts exciting research projects, develops innovative digitalization solutions and creates market-relevant studies in the field of supply chain management and logistics.
Grow with us and become part of our amazing team in Berlin or Hamburg!
What your new challenge will look like
As part of the 4flow research team, you will work on highly relevant and practice-oriented topics with a direct connection to research, initially limited to 3 years. Your responsibilities will include:
Extend our expertise in areas of Supply Chain Management with and without quantitative focus, e.g. inventory management
Contribute to pioneering research projects and help to define tomorrow’s supply chain strategies.
Deliver research and analytics services through programming and data management, including mathematical modeling and design of AI agents.
Collaborate on team activities and internal knowledge exchange initiatives to strengthen our agile culture.
What makes you a great fit
You hold a Master’s or Diploma degree in a relevant field.
Strong technical skills in mathematical modeling, simulation or optimization.
Proficiency in Python and common scientific computing and machine learning libraries, combined with a strong interest in and first practical experience with modern AI technologies such as RAG and AI agents..
A passion for solving complex supply chain management and logistics problems, complemented by initial practical experience in the field..
You’re self-driven, eager to learn and ready to bring innovative ideas to the table.
Why 4flow?
Remote work up to 90 days per year within the EU.
Flexible working hours (great for parents and night owls alike).
Option for additional unpaid vacation (to fit your life).
Possibility of sabbatical.
Time and budget for training and development.
Flexible mobility budget and subsidized Urban Sports Club membership.
Mental health coaching through our employee assistance program (your mental health is important to us).
Ready for 4flow? We can’t wait to get to know you!
We are committed to equal opportunities and welcome applications from all individuals, regardless of age, gender, origin, disability, sexual orientation, religion, or any other legally protected characteristic.
Skills Required
- Master's or Diploma degree in a relevant field.
- Strong technical skills in mathematical modeling, simulation or optimization.
- Proficiency in Python and common scientific computing and machine learning libraries.
- Practical experience with modern AI technologies such as RAG and AI agents.
- Initial practical experience in supply chain management and logistics.
- Self-driven, eager to learn, and able to contribute innovative ideas in an agile team.
What We Do
4flow provides consulting, software and services for logistics and supply chain management. More than 700 4flow team members leverage their supply chain expertise and IT know-how to best serve our customers at 18 locations around the world. Around the globe, we develop and implement lean and sustainable supply chain strategies for our clients’ businesses. Our clients come from a variety of industries including: vehicle manufacturers and suppliers, consumer goods and retail, industrial machinery manufacturers, medical technology, basic materials, spare parts, renewable energy, high-tech and telecommunications, and logistics service providers (LSP). 4flow and its customer AGCO were honored with the prestigious German Award for Supply Chain Management in 2016, presented by BVL International. Our consulting expertise at 4flow ranges from implementing lean logistics, designing and optimizing networks, managing and optimizing transportation to improving inventory, managing international supply chains and customs processes as well as enhancing import and export processes. 4flow vista® is the standard software for supply chain design and optimization. 4flow management handles the routine planning, optimization and operation of customers’ supply chain networks worldwide. 4flow research develops practical innovations, and conducts supply chain research relevant to the industry.
