Student Assistant for Advanced Analytics

Job description

Imagine a future where you’ll assist our transition towards a sustainable future by using your skills within machine learning, statistics, and data visualisation: Join us in this role where you’ll help develop data and statistically driven tools for our trading floor. You’ll influence decisions and handle tasks on your own, thereby contributing with your knowledge and expertise. You're expected to be able to work 15 hours weekly. Welcome to Operations in Bioenergy: You’ll be part of Advanced Analytics where you, together with your colleagues, will develop forecasts, analyses, and dashboards which provide our trading floor with a strong basis for data and statistical driven decision making in the daily operation at our Danish power stations, wind turbines, solar PV, electric boilers, heat pumps, and P2X. As a team, we continuously strive to do better and develop our skillset. In our team we have an informal and very open culture and you’ll always be able to get help and learn from your colleagues. You’ll play an important role in: - developing and implementing performance tracking - developing dashboards to visualise decision support and performance tracking - developing and impleme...