Working Student - Grid Data Analytics (m/f/d)

Who We Are

We are a truly international team and proud to play a central role in securing the electricity supply for Europe. As one of the leading Regional Coordination Centre (RCCs), we and our partners, provide integrated services to 16 electricity transmission system operators (TSOs) and their control centers in 12 European countries. Our network security assessment and capacity calculation procedures, play an incremental role in securing the operational security of the European power system every hour of the day, around the clock.

Working with us

We are a smart and highly skilled bunch of people from more than 35 countries: In our team, we don't just pay lip service to diversity – we live it every day. What unites us, is the real motivation to develop and contribute to new ways and new standards for a secure energy supply in Europe. We actively work with our culture and use our company behaviours as compass for our performance.

This Is What Your Day Will Look Like

• Develop Python scripts for extracting and transforming technical data based on technical specifications
• Prepare and format data required to run load flow simulations with load flow engines (e.g. PowerFactory)
• Clean, structure, and prepare simulation results for further analysis
• Deliver custom data analytics solutions in Python (visualization, dashboards)
• Optionally, based on existing competencies, provide engineering analysis of simulation results
• Support ad-hoc analysis requests and investigate reported issues
  
  

You come with

• Currently enrolled in a Bachelor's or Master's degree program in Data Science, Computer Science, Electrical/Power Engineering or a related field
• Proven experience with Python programming language and object-oriented programming concept as well as with versioning tools (e.g. Git)
• Knowledge of power systems grid modelling, related data formats (e.g. UCTE, CIM) and experience with load flow engines (e.g. PowerFactory) is an advantage
• Basic knowledge of graph theory and time series data is an advantage
• Ability to work independently and as part of a team
• Analytical thinking, structured working style, and willingness to learn new tools and engineering methods.
• Very good verbal and written communication skills in English
  
  

Your online application

TSCNET Services GmbH

Weihenstephaner Str. 9

81673 München (Munich)

D/Germany

E-Mail: [email protected]

www.tscnet.eu