Digitalization Student Assistant

Digitalization Student Assistant
At Topsoe we’re leading the way in decarbonization, by supplying technology, catalysts, and services for the worldwide energy transition. It's a journey through science that we began over 80 years ago, with a philosophy to question the limits of possibility and inspire others to think further. Today, we’re a community of over 2,800 problem solvers who are working together to find the answers to the world's biggest challenges. So, whether your expertise is in engineering, operations or broader business roles, we’re all united by a desire to go solve. At Topsoe we value diversity, embrace differences, and we are constantly committed to creating a culture, where everyone feels safe, valued, respected, and included.

We are headquartered in Denmark and have offices and operations globally. Find out more at

We are right now in the process of pushing out a new platform based on Jupyter notebooks and backing infrastructure to the Scientists across the organization. This role should help drive adoption of the new ways of working within the organization. You will be part of a great team and work closely with the data scientists in R&D Digitalization & AI.

Your tasks will include:

  • Take individual activities together with Scientists and/or research groups to help them utilize the platform as it is intended to be used. 
  • Build up Grafana dashboards and help structure research data from multiple sources. 
  • Show the organization the speed and flexibility gained from the new platform.
  • Be first line helper when roadblocks occur along the way. 


What you’ll bring

  • You are ideally on the 3rd-5th semester towards a master’s in computer science, Statistics / Modelling, Chemistry or similar. 
  • You have a keen interest in Data and Analytics – specifically using a Python based toolbox. 
  • You are self-driven, solution oriented, efficient, and structured
  • You come with a curious mindset – and a keen interest to learn new things. 
  • Enjoy working in an organization undergoing rapid and transformational change. 


We expect you to work around 15 hours weekly - possibly more during summer breaks and we are of course flexible during exam periods.

How you can apply
Please contact Sr. Data Scientist, Mathias Brædder Francke or +45 41 42 67 10 if you want to know more about the position.

If you would like to be part of a team of skilled and professional colleagues in an informal organization, please submit your application and resume in English and enclose a copy of your references. through our website

Screening and interviewing will happen as applications arrive, so don’t hesitate to send an application today.

Application deadline 
August 4, 2024