Senior Weather Data Scientist – Energy Analytics

About the role

StormGeo Energy Analytics is a growing part of StormGeo, developing analytical services for European energy and power markets. We combine weather intelligence, market understanding, technology and quantitative insight to help customers make better-informed decisions in changing and complex environments.

We are looking for a Senior Weather Data Scientist with a strong foundation in meteorology or atmospheric science and practical data-science skills. This role is particularly well suited to meteorologists and atmospheric scientists who enjoy coding, working with large scientific datasets and bringing rigorous methods into real-world services for energy-market customers across Europe.

Location: Norway, or other StormGeo locations within Europe. Hybrid or remote.

Main responsibilities

• Develop weather-informed analytical methods and assess forecast quality, uncertainty and change using ensemble forecasts, reforecasts, reanalysis data and observations.
• Build robust scientific-data workflows for ingesting, processing, validating and maintaining meteorological information.
• Contribute to regional weather, seasonal and climate analysis relevant to European energy markets.
• Use statistical and physical reasoning to assess forecast signals, counterfactual scenarios and uncertainty.
• Work with meteorologists, energy analysts, data scientists and product teams to turn science into practical services and communicate findings clearly.

What we’re looking for

• A master's degree or PhD in meteorology, atmospheric science, climate science, applied mathematics or a related discipline, with practical forecasting, modelling or applied-weather experience.
• Strong knowledge of ensemble numerical weather prediction, uncertainty, reforecasts and probabilistic forecast validation, together with European large-scale circulation.
• Strong Python, data-science and scientific-data skills, including gridded or geospatial data and tools such as xarray, pandas, NumPy, SciPy, NetCDF or GRIB.
• The ability to build clear, tested and maintainable analytical code, and explain complex scientific topics to colleagues and customers.

It would be an advantage if you have

• Experience with European power markets, energy analytics, commodity-weather risk or operational decision support.
• Experience with ECMWF, seasonal or comparable global ensemble forecast systems, including weather-regime or circulation diagnostics.
• Experience with climate analysis, seasonal forecasting or long-term climate projections, and an interest in how changing climate conditions influence energy-market fundamentals.
• Experience with production data platforms, APIs, cloud services, workflow orchestration or translating scientific analysis into client products.

Company offers

At StormGeo, we combine technology, weather intelligence and human expertise to help customers navigate dynamic environments and volatile markets. You will join a community of meteorologists and weather specialists, alongside colleagues working across energy markets, data science and technology.

We offer a highly skilled and collaborative working environment where we value professional credibility, curiosity and practical problem-solving. You will have the opportunity to contribute to the continued development of our business and work with colleagues who bring deep domain expertise to the challenges our customers face.

About StormGeo

StormGeo is a global technology provider for weather-sensitive industries. We combine weather intelligence, advanced analytics and human expertise to turn complex information into practical decision support for energy, shipping and other weather-sensitive businesses. Our teams work internationally to provide timely and actionable insight for customers around the world.

How to apply

To apply for the position, kindly utilize the provided application link. We will be reaching out to suitable candidates continuously, so we encourage you to submit your application promptly if you are keenly interested.