At Ento, our mission is to make it easy and cost-effective to monitor and optimise the energy consumption of every building. By combining millions of data points and the power of artificial intelligence, our system is capable of gaining deep insights into your buildings’ energy performance. We create a structured plan to save energy – the smart way.

Backed by strong investors such as byFounders, The Footprint Firm and Voyager, Ento is on a clear growth trajectory and is now expanding into new markets. As of now we cover over 18,000 buildings and have helped save more than 6,000 tons of CO2. Our international team comprises 15 members spread across 4 countries, with our headquarters in Denmark (Aarhus and Copenhagen). We have active sales efforts in the Nordics, the UK and most recently the United States.

We offer master thesis projects with a focus on AI energy optimisation within our Data Science and Product/Engineering departments. You can either apply with your own project idea and we can assist you in aligning it with our work, or we can provide you with some ideas. So if you need more information, please contact us.

What we are looking for

• Currently enrolled in a Master's program with a focus on energy, IT, data science, computer science, engineering or similar.

• Good analytical skills and an interest in dealing with large and complex data sets.

• A foundation in data analysis and experience with programming is a plus (we use Python to a large extent).

• Self-driven and able to plan and execute complex analyses independently.

• Good English verbal and written communication skills as it is our company language.

  
  

If you want to play a central role in the roll-out of our AI-first energy optimization platform and our drive towards unprecedented speed and scale in the transition to sustainable energy consumption, please apply!