Internship Controlling - Focus on AI and Digitalisation (m/f/d)

REWE Group · Cologne

InternshipGerman needed: not said

Still open on 8 Nov

You apply on the company's own website.

Key facts

Pay: Good pay
Job starts: 1 Dec 2026
Where you work: Company and home
Subject you study: Economics, Business Informatics, Computer Science, Mathematics, Data Science

Using AI in controlling in practice: You help us identify suitable use cases and co-develop, test and trial AI-based solutions in practice, for example AI agents and automated workflows for controlling tasks.
Further developing controlling tools: You contribute to projects that align our planning and steering better with a rapidly changing business environment. This includes selecting and designing a driver-based planning and forecast solution and developing our steering approaches towards Beyond Budgeting.
Improving reporting and decision-making bases: You help make data more usable for controlling and further develop suitable reporting and analysis solutions. Tools may include Power BI, Strategy One or Streamlit, with Snowflake as the data platform. You prepare results in a clear way suited to the audience.
Working on your own topics: You take on defined tasks or smaller sub-projects from analysis to implementation and bring your ideas into the teamwork.

Your personality: You think analytically and in a structured way, like getting to the bottom of questions and enjoy developing solutions.
Your professional background: You are studying economics, business informatics or a technical-analytical subject, for example computer science, mathematics or data science. You are interested in tackling business questions with data and digital solutions.
Your practical AI experience: You have already used AI applications for your own questions, for example during your studies, in an internship or in your own projects. We are interested in which applications you used and what experience you gained.
Your Office skills: You have good Microsoft Office skills, especially in Excel and PowerPoint. Prior knowledge of the reporting and data systems mentioned above is not required.
Ideally first project experience: You have already worked on projects or carried out small projects of your own. These can be AI-related projects, but also experience from other fields. Further practical experience through internships or a working student job is also welcome.

Attractive pay and subsidised meals in the canteen.
Flexible working hours without core hours.
A comprehensive health and sports offering.
Networked: Company-wide REWE Group networks, such as our LGBTIQ network "DITO – different together" and the women's network "f.ernetzt" for exchange about career and personal development.
Full integration into the teams and their workflows, taking on responsible work packages, and learning from and with experienced colleagues.
Possible cooperation for final theses (depending on the needs of the respective department).
Career entry: Admission to the retention programme "future steps" with exclusive events and a talent pool.
Regular feedback: We take time to reflect on your results and experiences together and to support your development.
Learning on real tasks: You deepen your AI experience, get to know controlling tools and business models, and see how professional and technical perspectives come together in projects.
Your own sub-projects with support: You get room for your own ideas and take responsibility for clearly defined topics. You can rely on the team's support.

Using AI in controlling in practice: You help us identify suitable use cases and co-develop, test and trial AI-based solutions in practice, for example AI agents and automated workflows for controlling tasks.
Further developing controlling tools: You contribute to projects that align our planning and steering better with a rapidly changing business environment. This includes selecting and designing a driver-based planning and forecast solution and developing our steering approaches towards Beyond Budgeting.
Improving reporting and decision-making bases: You help make data more usable for controlling and further develop suitable reporting and analysis solutions. Tools may include Power BI, Strategy One or Streamlit, with Snowflake as the data platform. You prepare results in a clear way suited to the audience.
Working on your own topics: You take on defined tasks or smaller sub-projects from analysis to implementation and bring your ideas into the teamwork.

Your personality: You think analytically and in a structured way, like getting to the bottom of questions and enjoy developing solutions.
Your professional background: You are studying economics, business informatics or a technical-analytical subject, for example computer science, mathematics or data science. You are interested in tackling business questions with data and digital solutions.
Your practical AI experience: You have already used AI applications for your own questions, for example during your studies, in an internship or in your own projects. We are interested in which applications you used and what experience you gained.
Your Office skills: You have good Microsoft Office skills, especially in Excel and PowerPoint. Prior knowledge of the reporting and data systems mentioned above is not required.
Ideally first project experience: You have already worked on projects or carried out small projects of your own. These can be AI-related projects, but also experience from other fields. Further practical experience through internships or a working student job is also welcome.

Attractive pay and subsidised meals in the canteen.
Flexible working hours without core hours.
A comprehensive health and sports offering.
Networked: Company-wide REWE Group networks, such as our LGBTIQ network "DITO – different together" and the women's network "f.ernetzt" for exchange about career and personal development.
Full integration into the teams and their workflows, taking on responsible work packages, and learning from and with experienced colleagues.
Possible cooperation for final theses (depending on the needs of the respective department).
Career entry: Admission to the retention programme "future steps" with exclusive events and a talent pool.
Regular feedback: We take time to reflect on your results and experiences together and to support your development.
Learning on real tasks: You deepen your AI experience, get to know controlling tools and business models, and see how professional and technical perspectives come together in projects.
Your own sub-projects with support: You get room for your own ideas and take responsibility for clearly defined topics. You can rely on the team's support.