Join us to explore how AI is transforming weather and energy forecasting. In this internship, you will work with modern weather models, build data solutions, and contribute your ideas in a collaborative and international environment.

What you will do:

• Put cutting-edge AI weather models to the test and evaluate their value for energy forecasting

• Build data pipelines and tools to process, analyze, and visualize weather forecast data

• Support the daily operations of the meteorology desk, including weather briefings, forecast monitoring, and ad-hoc analyses

• Collaborate with cross-functional teams to further develop innovative forecasting solutions

• Analyze forecast data and translate findings into clear insights and recommendations

• Contribute your own ideas and support continuous improvement of workflows and tools

What you bring & who you are:

• Ongoing or completed BSc or MSc in Data Science, Computer Science, Environmental Science, Meteorology, or a similar field

• Proficiency in Python and experience working with NetCDF and GRIB data formats

• Foundational knowledge of deep learning, ideally with PyTorch, and an understanding of transformer and graph neural network architectures

• Interest in meteorology and atmospheric science, including familiarity with the AI weather model landscape

• Ideally, first experience with forecast verification, backtesting, fine-tuning, or downscaling models

• Strong communication and teamwork skills with fluent English, both written and spoken

Even if you do not meet every requirement, we look forward to receiving your application.

About the team:

We are a diverse team combining expertise in meteorology, data science, and energy markets. We collaborate openly, support each other, and work together on innovative solutions for the future of energy forecasting.