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?
Your contribution to TenneT
1. 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)
2. Transform, cleanse and prepare the sensor data (time series data) of cooling pumps and power transformers for optimal subsequent model training (data preparation)
3. 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
4. Work with standard pipelines from data labelling, model training to model deployment on a cloud-based analytics platform
5. Learn about the e nergy transition and TenneT’s role in facilitating renewable energy integration
Your profile and background
6. The position requires ongoing university studies
7. Hands on experience in the Python programming language, preferably with experience in data science packages and a deep learning framework
8. Basic understanding of statistics and machine learning techniques
9. Good problem-solving skills and ability to work independently and as part of a team
10. Good written and spoken English and German
Our recruiting process
Our offer