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Working Student (F/M/D) - Data Science
Posted on Jan. 12, 2026
- München, Germany
- 0 - 0 USD (yearly)
- Full Time
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You have a passion for technology and want to make the world a greener place?
Join the forefront of energy transition with E.ON's Digital Technology organization, as part of our technology in-house consulting, Expert Services. As a professional services organization, we collaborate closely with our business units, providing pivotal services that accelerate E.ON's ambitious Digital Transformation strategy.
If you have a passion for leading the green transition with digital innovation, become a playmaker in our energetic and diverse team of more than 500 Expert Services consultants.
It’s on us to make new energy work!
The Team – your impact
As a Working Student (f/m/d) in Data Science, you will have the opportunity to work closely with our experienced team of Data Scientists and Data Engineers to tackle real-world challenges and thereby contribute to accelerating our transition towards a cleaner and smarter energy ecosystem. Leveraging your conceptual understanding of Data and AI, you will collaborate with cross-functional teams to improve current and integrate new Data Science solutions.
Your Role – meaningful & rewarding
- You evaluate new data technologies to efficiently integrate latest machine learning solutions and analytical modules into operational cloud services
- You aid in increasing efficiency and time-to-market by assisting in the implementation of reusable artificial intelligence models
- You collaborate on research projects, aid in recording findings, and support the development of content for scientific purposes
- You enhance analytics capabilities by extracting information from diverse sets of structured, unstructured, batch and streaming data
- You participate in ensuring quality and stability through involvement in agile processes and contributing to peer code reviews
Your Profile – authentic & open-minded
- Currently pursuing a Master’s degree in data science, computer science, mathematics, or related fields
- Strong programming skills (preferably in Python)
- Practical experience through previous (data science or software engineering related) internships
- Hands-on experience with applying statistical methods and machine learning algorithms
- Fluent communication in both written and spoken German and English
Our Benefits – smart & useful
- Experience flexibility: We combine coming to the office and working from home. Thanks to our flexible working hours you can easily balance university and a job.
- Advance your development: We grow and we want you to grow with us! We offer exciting tasks and individual learning opportunities.
- Enjoy fair compensation: We recognize your contribution with a market-based remuneration.
- Get connected: Take the opportunity to engage in our Digital Empowerment Communities for collaboration, learning, and network building.
- Recharge your battery: You have 30 days of paid vacation per year plus Christmas and New Year's Eve off.
Do you have questions?
For further information please contact the Talent Acquisition Team, EDT_Talent_Acquisition@eon.com.
Please understand that for data protection reasons we can only accept applications submitted via our portal. Unfortunately, we cannot consider application documents that reach us by email or post.
What you need to know:
Job Req ID: 240310
Contract type: Fixed Term
Working time: Part time
Company: E.ON Digital Technology GmbH
Location: München, Essen
Function area: Consulting; Data / IoT; IT/Digital
Inclusion
It is important to us that people with disabilities have access to a fair application process, providing them with an opportunity to shine. Therefore, our representative body for severely disabled people will be included in the process from an early stage. Please let us know via the application form if you require technical or organisational adjustments during the application process. We will strive to make the required aids available.
Should you not be able to apply online and want to speak someone in person, please contact your local recruiter.
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