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Working Student AI & Process Automation (f/m/x)

Seven Senders

Berlin, Germany (Hybrid) · Part Time

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Experience
Any
Salary
Openings
1
Posted
1 week ago
Work mode
Hybrid
Education
Bachelor's or Master's in Computer Science, Software Engineering, Data Science, or a closely related technical field
Eligibility
Currently enrolled students in a relevant technical Bachelor’s or Master’s program who can work in Germany and are fluent in English; German is a plus.
Resume
Required to apply

Where you'll work

Job description

About Seven Senders

Seven Senders simplifies cross-border shipping by connecting businesses and customers across markets. The company is a leading European platform for parcel delivery across borders, helping e-commerce brands expand internationally and serve consumers in multiple countries. By pairing modern technology with a broad network of local carriers, it helps parcels travel efficiently from warehouse to customer, whether the priority is speed or cost effectiveness.

Established in Berlin in 2015, Seven Senders has expanded into a team of more than 200 logistics and technology specialists. Its clients include brands such as Flaconi, Shop Apotheke, and Tamaris.

Role Overview

AI is a major strategic focus at Seven Senders, and the company has set up a dedicated AI Taskforce to spot, design, and roll out use cases that make everyday work quicker and easier. In this working student role, you will be closely involved in that mission. You will work directly with business teams across the organization, join workshops to uncover operational pain points, translate those insights into actionable requirements, and build practical solutions yourself. The role combines technical execution, structured thinking, and strong communication with colleagues who may not have a technical background.

What You Will Do

  • Work with teams across departments to convert AI opportunities with clear business value into functioning solutions, from initial scope through to production.
  • Gather process knowledge from operational colleagues and reshape it into precise, implementable requirements.
  • Create automations directly using LLMs, no-code or low-code tools such as Claude and Make.com, as well as scripts and APIs.
  • Track the impact of the solutions you deliver by measuring time savings, error reduction, and volume processed.
  • Keep detailed documentation for every project so solutions can be maintained, understood, and improved independently.

What You Need

  • You are currently pursuing a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or another closely related technical field.
  • You are motivated to learn and apply agentic AI, LLMs, and automation tools such as Make.com, and you stay up to date with developments in the field.
  • You are comfortable working with APIs and scripting, for example in Python or a similar language, and understand how systems exchange data.
  • You can explain technical ideas clearly to non-technical teammates.
  • You are organized, self-driven, proactive, and confident working independently.
  • You communicate fluently in English; German would be an advantage.

Additional Information

The office is based in Berlin, but this position can be performed from anywhere in Germany. If you want, you may also work from almost anywhere for up to two months per year.

Benefits include company lunches twice a month, access to a corporate benefits platform, and German language courses.

Seven Senders emphasizes climate neutrality and long-term impact through green initiatives aimed at reducing its footprint and supporting a more sustainable logistics industry.

The company describes its culture as collaborative, open, and results-oriented, with a strong data-driven mindset. Team events and company-wide celebrations are part of the workplace experience.

The organization states that it welcomes applicants of all backgrounds and does not discriminate based on ethnicity, religion, national origin, sexual orientation, gender identity, age, or disability.

Applicants are asked to submit an English CV.

Application Note

This role is intended for a currently enrolled student and is based in Germany with an office in Berlin.

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