Informationen zur Anzeige:
Working Student Advanced Analytics (m/w/d)
Bayreuth
Aktualität: 03.03.2025
Anzeigeninhalt:
03.03.2025, TenneT TSO GmbH
Bayreuth
Working Student Advanced Analytics (m/w/d)
Über uns:
TenneT is growing fast to realize its strategic ambitions. We play a leading role in driving the energy transition. We are looking for a passionate Working Student Advanced Analytics (m/w/d) at our location Bayreuth who will contribute to this and that might be you?
BTG will drive security of supply, energy transition, organizational and financial health through digital, data and analytics. BTG will secure solid foundations through seamless end-user services (UX), industry-leading cybersecurity setup and resilient data centers and cloud infrastructure. BTG will have consistent business/BTG alignment, strategic partnerships with vendors and clear standards on architecture, vendor & portfolio management and security. BTG will unlock value of data and digital by building all the necessary enablers (incl. data platform, data governance processes, capabilities) and embedding innovation initiatives into business roadmaps.
Since we use AI as part of our recruiting process, we would like to create transparency and clarity at this point. The AI serves exclusively as a supporting and recommending tool to make our processes even faster and more efficient. At no time are automated decisions made.
TenneT is a leading European grid operator. We are committed to providing a secure and reliable supply of electricity 24 hours a day, 365 days a year, while helping to drive the energy transition in our pursuit of a brighter energy future - more sustainable, reliable and affordable than ever before. In our role as the first cross-border Transmission System Operator (TSO) we design, build, maintain and operate over 25,000 kilometres of high-voltage electricity grid in the Netherlands and large parts of Germany, and facilitate the European energy market through our 17 interconnectors to neighbouring countries. We are one of the largest investors in national and international onshore and offshore electricity grids, with a turnover of EUR 9.2 billion and a total asset value of EUR 45 billion. Every day our 8,300 employees take ownership, show courage and make and maintain connections to ensure that the supply and demand of electricity is balanced for over 43 million people.
Aufgaben:
- Familiarize yourself with a business case for cooling pumps and power transformers (business understanding) and make a deep dive into the time series data provided (data understanding)
- Transform, cleanse and prepare the sensor data (time series data) of cooling pumps and power transformers for optimal subsequent model training (data preparation)
- Build, train, optimize and evaluate machine learning models , including e.g. RNNs for advanced time series analysis or LLMs for certain advanced text analysis tasks
- Work with standard pipelines from data labelling, model training to model deployment on a cloud-based analytics platform
- Learn about the e nergy transition and TenneT's role in facilitating renewable energy integration
Qualifikationen:
- The position requires ongoing university studies
- Hands on experience in the Python programming language , preferably with experience in data science packages and a deep learning framework
- Basic understanding of statistics and machine learning techniques
- Good problem-solving skills and ability to work independently and as part of a team
- Good written and spoken English and German
Wir bieten:
- We are family friendly and flexible
- Health - your basis
- Modern working environment
- Attractive remuneration and social benefits
- Personal development
Unser Kontakt:
Melisa Kacar
Recruiter
Melisa.Kacar@tennet.eu
People
Talent Acquisition Recruiting Support
Thomas Küfner
Hiring Manager Delegate
Thomas.Kuefner@tennet.eu
Business Technology Organization
Data and Digital GE
Weitere Informationen:
As a signatory to the Diversity Charter Germany, we at TenneT are convinced that we can only drive the energy transition forward innovatively with different perspectives and experiences. Therefore, we welcome all applicants - regardless of gender identity, religion, sexual orientation, ethnic background, disability or age. TenneT aims to increase the proportion of women in positions where they are underrepresented. For this reason, we expressly encourage qualified women to apply. We also welcome applications from people without German citizenship.
We welcome applications from people with disabilities. If you indicate your (severe) disability in your application, we will forward your application to our representative for disabled persons so that they can support your application in accordance with paragraph 178 SGB IX.
Fachrichtung
Art des Angebots
Bundesland
Standorte