Your mission
- Support the cross-department energy management community with data-driven analyses
- Evaluate the performance of fast-charging stations co-located with BESS across 11 European countries
- Work with large datasets and develop analyses using Python (e.g., pandas, numpy, spark)
- Apply statistical methods to identify trends, performance drivers, and optimization potential
- Contribute to topics related to energy management and electricity market optimization
- Prepare clear reports and communicate insights to relevant stakeholders
- Take ownership of tasks and support projects in a hands-on, end-to-end manner
Your profile
- Enrolled (master’s) student, preferably in a technical field
- Familiarity with the acronyms BESS, EVSE, DLM, and VPP
- Programming experience in Python, ideally with libraries such as pandas, numpy, or spark
- Strong analytical skills and ability to work with data and applied statistics
- Knowledge of electricity market optimization is considered an advantage
- Structured, reliable working style with a high level of personal ownership
- Hands-on mentality and willingness to drive tasks through to completion
- Fluent in English, both written and spoken
Why us?
- Be an essential member of a smart, ambitious and growing team developing solutions for the E-Mobility market
- With us you get the best of both worlds - 100% start-up with backup from a big corporate
- We offer hybrid work with flexible working hours
- Competitive compensation
Contact
Diversity counts at E.ON. We welcome all people and are convinced that differences make us stronger. Become part of our inclusive and diverse corporate culture!
Seize the opportunity to become part of our E.ON Drive Infrastructure team and not only create prospects for the future of E.ON, but also for your own.
We look forward to getting to know you!
Laura
Working Student
Do you have any questions or difficulties with your application?
Please feel free to contact me at laura.ackermann@edri.com or via LinkedIn.