Hydrologist

We are looking for a Hydrologist to build, improve and operationalize hydrological forecast models that support energy producers, traders and system operators across Europe. You will work with hydrologists, data scientists, software developers and product managers in the Fundamentals team within Data & Forecast.

What you will be doing to make a difference

• Contribute to building and improving hydrological forecast models for inflow, snow, runoff and water balance across short-, medium- and long-term horizons.
• Apply a mix of process-based hydrology and machine learning/statistical methods to improve forecast accuracy and robustness.
• Work with diverse data sources, including observations, reanalyses, NWP outputs, satellite products and customer data.
• Support the development of end-to-end pipelines for model training and operational forecasting in collaboration with data engineers and developers.
• Evaluate forecast performance and continuously identify areas for improvement.
• Visualize data and forecasts to generate insights for internal teams and customers.
• Support customer discussions when needed and help explain forecast behavior.
• Stay up to date on operational hydrology and applied machine learning, bringing new ideas into the product.

What you need to succeed

• MSc or PhD in hydrology, water resources, environmental physics, geosciences, meteorology or a related quantitative field, or equivalent practical experience.
• Experience working with hydrological or environmental data, such as precipitation, snow and inflow time series.
• Programming skills in Python or a similar language, with an interest in writing clean, maintainable code.
• Familiarity with machine learning approaches for environmental or time-series data.
• Strong written and spoken English communication skills.

Nice to have

• Experience with cloud platforms or modern data/ML tooling.
• Background from hydrological agencies, energy utilities, research institutes or environmental consultancies.
• No prior energy market experience is required; curiosity about the connection between the water cycle and the energy system is valued.

What we offer

• Meaningful work with direct real-world impact, contributing to the green transition across Europe.
• Opportunity to work at the intersection of physics-based hydrology and machine learning.
• Collaboration with a highly skilled, interdisciplinary team.
• Significant influence in shaping and developing the role.
• Innovative, international work environment.
• Flexible working hours and a competitive compensation package.

The position reports to the Team Lead of the Fundamentals team within Data & Forecast and works closely with cross-functional teams. Hiring is planned for offices in Oslo, Trondheim, Arendal, Gdańsk or Vienna; other locations may be considered for the right candidate.