Student Assistant in Supply Chain Science (d/f/m)

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. If you’re eager to work at the intersection of research and consulting, you’ve come to the right place! Support us in implementing activities in agile projects and collaborate closely with experienced colleagues. We look forward to welcoming you to our team in Berlin!

What your new challenge will look like:
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• Develop smart algorithms and machine learning models and build your own functions and modules in Python or R.


• Implement both prototypes and customized software solutions using state\-of\-the\-art technologies.


• Review available libraries and frameworks, assess their performance and decide what truly fits. This way, our solutions remain fast, robust and future\-proof.


• Document your results clearly and actively share your knowledge within the team.

• You are currently pursuing a master’s degree in (business) informatics, data science, or a comparable field and have already gained some practical experience.


• Proficiency in Python and common scientific computing and machine learning libraries, combined with first practical experience with modern AI technologies such as LLMs, RAG and AI agents.


• Interest in logistics\-related topics and enthusiasm for developing custom tools in the cloud or as a service.


• Excellent English skills.

• Work\-Study Balance: Flexible scheduling of your working hours depending on your current workload.


• Food \& Social Gatherings in Berlin: Snacks, drinks, and a weekly breakfast.


• Learning: Individual learning opportunities through a LinkedIn Learning account.


• Employee Assistance Program: Personalized support for personal challenges.


• If it’s a mutual fit, we look forward to a long\-term collaboration—even after your studies.

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.

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