Data Scientist - Weather & Short-Term Power
Engie is hiring a Data Scientist - Weather & Short-Term Power. Level rates it ; you can apply on Engie.
Level's read on this job
- Level rates this data scientist role Little AI ●○○○: aI is not part of the work.
- Level classifies it as a mid-level role.
- Level lists 688 other open roles at Engie.
AI in this role
Data Scientist – Weather & Short-Term Power (HL 14)
📍Location: Brussels
About ENGIE and Supply & Energy Management:
ENGIE, a global leader in low-carbon energy and services, relies on its Global Business Unit Supply & Energy Management (GBU S&EM) to provide reliable, sustainable, and affordable energy to all its customers. This strategic unit optimizes the Group’s and clients’ production assets and designs tailored energy solutions for our 200,000 professional clients and 15 million consumers.
The Global Business Unit Supply & Energy Management leverages ENGIE’s assets to deliver secure and sustainable energy to its B2B and B2C customers. It uses its expertise in energy management to provide decarbonized electricity 24/7.
Joining Supply & Energy Management means becoming part of a team of over 10,000 passionate experts spread across 20 countries, all united by a shared mission: shaping a greener and more efficient energy future. Together, we push the boundaries of innovation to deliver decarbonized energy 24/7. Join us and be part of those shaping the energy of tomorrow!
Context
The Expertise Center Market Analysis and the Business Platform Power Trading, Structuring & Origination (PTSO) are looking for a Data Scientist – Weather & Short-Term Power to join the Short-Term Power Market Analysis (STP) team in Brussels. The position sits on the trading floor, embedded in an extended team of market analysts, meteorologists, hydrologists and data scientists.
The STP team covers short-term power markets — week-ahead, day-ahead, intraday, ancillary and imbalance — in support of trading and portfolio management activities in Central Western Europe (CWE). Weather has become the dominant driver of these markets: renewable generation, demand and prices are increasingly shaped by it, and extracting value from weather information is one of the team’s key priorities.
This is not a conventional power analyst position. We are looking for a data scientist with strong weather expertise, or a quantitative meteorologist, to act as a bridge between two teams: as a member of the STP team, the successful candidate will also be integrated in the Meteo & Climate team, strengthening the collaboration between them. Above all, the candidate will work in close daily contact with our internal clients: the short-term power trading and asset optimization desks.
Your Mission
As Data Scientist – Weather & Short-Term Power, your mission is to turn weather data into market value: translating weather forecasts — and their uncertainty — into actionable signals, forecasts and strategies for the short-term power trading and asset optimization desks.
Your main activities:
- Develop, industrialize and maintain weather-driven forecast products and trading signals for day-ahead, intraday and imbalance markets, owning the full model lifecycle from research to production.
- Exploit deterministic and ensemble weather forecasts (post-processing, calibration, skill evaluation) to extract predictive value for renewable generation, demand and prices in CWE.
- Work daily with the trading desks: understand their needs, deliver weather intelligence in actionable form, and communicate forecast confidence and risks clearly and on time.
- Act as the bridge between the STP and Meteo & Climate teams: co-develop tools and data pipelines, spread weather best practices within STP, and bring power market awareness to the weather team.
- Monitor upcoming weather and alert traders and analysts on market-moving weather events and forecast revisions.
- Contribute to the team’s roadmap, dashboards and digital platforms, staying ahead of advances in weather forecasting, data science and AI.
What we are looking for
Hard skills
- In-depth knowledge of Numerical Weather Prediction models and weather data, including ensemble forecasting and reanalysis datasets.
- Strong Python and data science skills: machine learning applied to time series, statistical post-processing, uncertainty quantification, and handling of large meteorological datasets.
- Experience building, deploying and maintaining models in production; familiarity with cloud-based technologies (AWS, GCP or Azure) is a plus.
- Knowledge of (short-term) power markets is a plus — a strong appetite to learn them is a must.
Soft skills
- Clear and effective communication, written and verbal: able to convey complex weather and model topics to traders and non-specialists.
- Strong team spirit and collaborative mindset — you will operate across two teams and several desks.
- Reactivity, autonomy and composure in a fast-paced trading-floor environment.
- Curiosity, creativity and a solution-oriented attitude.
Education & Experience
- Master’s degree or PhD in meteorology, atmospheric sciences, physics, applied mathematics, engineering or a related field.
- 3 to 5 years of experience in weather forecasting, data science applied to weather, or quantitative analysis — ideally in the energy sector.
Languages
- Fluent in English.
- French and/or Dutch is a plus.
Why join us?
- A unique position at the crossroads of weather science and power trading, with direct daily exposure to trading decisions.
- Integration in two expert teams — Short-Term Power and Meteo & Climate — with genuine intellectual depth and a strong collaborative culture.
- Access to best-in-class weather data, proprietary data infrastructure and high-performance computing environments.
- Autonomy, real responsibilities and the possibility to grow, learn and develop, including attendance to conferences.
Diversity & Inclusion
If you meet these requirements, then you are the talent we are looking for. Don’t wait – apply now with your CV.
At ENGIE S&EM, we are committed to fostering a gender-neutral and inclusive environment where everyone’s potential can thrive.
All our positions are open to people with disabilities. If you need any reasonable accommodations during the recruitment process, please inform your recruiter — we will be happy to support you.
About ENGIE
ENGIE is a global leader in low-carbon energy and services, committed to accelerating the transition towards a carbon-neutral world. Our purpose (“raison d’être”) is clear: act to reduce energy consumption and develop cleaner, more sustainable solutions that balance economic performance with a positive impact on people and the planet.
We rely on our core businesses — gas, power, renewable energy, and services — to deliver competitive, tailored solutions to our customers worldwide.
With 96,000 employees and a strong network of partners and stakeholders, ENGIE is more than a company: we are a community of Imaginative Builders, working every day to create harmonious, sustainable progress.
ENGIE is committed to promoting Equal Opportunity employment. We pro-actively foster an inclusive environment that not only embraces but celebrates diversity. Our goal is for all employees to experience a real sense of belonging. We aim to provide them with a safe and inclusive working environment in which they feel empowered to thrive and excel. Join us and embark on the adventure of the century. Be a transition maker, accomplish more and change our world! It's our reality. At ENGIE, we don’t just talk about change, we make it happen!
How we rate this
Data Scientist - Weather & Short-Term Power at Engie rates 24 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Pay
- Typical data scientist job
- $170k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new data scientist jobs by email
One email a week with the new data scientist jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Data roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step