• Working and taking part in different digital Transformation projects in the Business Unit Energy Production & Grid
• Apply best-practice data science to implement Big Data and advanced analytics use-cases
• Implement use-cases together with their future users
• Ensure state-of-the art, extendible data architecture
• Building a broad and practical know-how
• Creating an important network for your future career
• Examples of the departments you might be working for: Asset Management or Engineering Grid & Hydro

• Master university degree in Data Science, Computer Sciences, Engineering, Quantitative Finance, Physics or Mathematics
• Experience in quantitative applications and databases (e.g Matlab, R, SQL, Java, Python)
• Know-how in Machine Learning, Deep Learning, Big Data and Data Sciences
• Strong interest in the energy sector
• Analytical thinking
• Open-mindness and positive thinking
• Some work experience as an intern or student employee
• Willingness to take on responsibility
• High initiative and flexibility
• Self-assured and a proactive approach
• Fluent in English, fluent in German is a must

Alexandra Garcia
Lead Traineeship