Description de poste

Senior Data Scientist

Publié le: 03/07/2025

Référence de l’offre: 48384

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Informations générales

Brussel, Belgique, 1000

ENGIE GLOBAL MARKETS, BELGIAN BRANCH

Qualifié ( >3 expérience <15 ans)

Trading / Portfolio Management

CDI

Temps Plein

Senior Data Scientist

About us

ENGIE Supply & Energy Management (S&EM) provides energy supply solutions and risk management services to support its clients through their decarbonization journey, while optimizing ENGIE’s assets and contributing to value creation.

ENGIE is a global reference in low-carbon energy and services with a leading energy management business, piloted by its entity "Supply & Energy Management" who built its savoir-faire managing the Group’s large and diverse asset portfolio over 20+ years.

3,600 employees around the world develop our solutions, through +20 international business platforms. We cover the full energy mix: renewable and thermal power, natural gas & LNG, biomass, environmental products. Our experts provide tailor made solutions based on a wide range of savoir-faire in energy management with a strong focus on decarbonation and decentralization.

Our 190,000 clients span the entire value chain: producers, asset developers, financial players, utilities, distributors and industrials. Our global reach and strong local presence enable us to offer these diverse clients tailor-made services and respond to rapid changes in mature or emerging markets alike.

Our 4 areas of expertise:

• Asset management
• Energy transition services
• Energy supply & global commodities
• Risk management & market access

At S&EM we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you.

Context

The Expertise Center (EC) Quantitative Research and Modeling (QRM) within S&EM is a team of around 100 quantitative analysts and data scientists. Its mission is to provide advanced quantitative expertise to various Business Platforms (BP) of S&EM. The data scientist sought here will be part of the “Short Term Trading” team of QRM (approximately 10 people) and will be fully dedicated to the BP Power Trading & Commercial (PT&C).

Role:

The data scientist will be focused on the activities related to the CWE (i.e., Belgium, France, Germany, Netherlands) short-term power markets (i.e., day-ahead, intraday, imbalance). While the core of this role is deeply technical and delivery-focused, a portion of the expected responsibilities will involve overseeing project progress, ensuring alignment with business goals and coordinating with cross-functional teams. In their hands-on activities, the successful candidate will leverage large amount of data using statistical tools, machine learning and state-of-the art quantitative models to deliver analysis and tools that have a concrete impact on the business, including:

• Prediction of relevant power market signals (e.g., volumes, prices)
• Asset (e.g., battery) optimization
• Trading strategies and algorithms

The daily responsibilities include, but are not limited to:

• Contributing to the continuous development of improvement of optimization and trading models and tools, as well as leveraging large volumes of data to provide market insight to relevant BPs
• Tracking and reporting on project milestones, risks and deliverables, as well as coordinating with relevant stakeholders to ensure project alignment with cross-functional teams (e.g., on planning activities or resource allocation issues)
• Establishing contact with different stakeholders, e.g., traders - to understand their business needs and propose solutions -, analysts - to exchange about ideas, therefore leveraging on the knowledge from peers – and relevant IT teams - to align on topics related to architecture, deployment, etc.

Sought skillset

• Experience with statistical models, data science techniques (and optimization models) ;
• Good understanding of the energy business and power markets ;
• Demonstrated coding skills with Python ;
• Familiar with version control systems (git), software development (Azure DevOps, Github Actions) ;
• Excellent communication skills and the ability to explain and convey concise messages about complex issues.

Education and professional background

• University degree (MSc, PhD) in Computer Sciences, Applied Mathematics, Statistics, Physics, etc.
• 5+ years of professional experience in a relevant technical role.

Languages

• Working language is English

Travels

Occasional travel is possible, but limited.

If you meet these requirements, then you are the talent we are looking for. Do not waste time!

Apply by attaching your updated CV, regardless your gender.

ENGIE S&EM is committed to create a gender-neutral environment that unlocks the potential of everyone and provides equal employment opportunities for all individuals.

All our positions are open to people with disabilities, please let your recruiter know if you need reasonable accommodations to be able to participate in the recruitment process, they will be happy to assist you.

About ENGIE

Our group is a global reference in low-carbon energy and services. Our purpose (“raison d’être”) is to act to accelerate the transition towards a carbon-neutral world, through reduced energy consumption and more environmentally-friendly solutions, reconciling economic performance with a positive impact on people and the planet. We rely on our key businesses (gas, power, renewable energy, services) to offer competitive solutions to our customers. With our 96,000 employees, our customers, partners and stakeholders, we are a community of Imaginative Builders, committed every day to more harmonious progress.

Business Unit: GEMS

Division: GEMS - EC QUANTITATIVE RESEARCH & MODELING

Entité légale: ENGIE GLOBAL MARKETS, BELGIAN BRANCH

Expérience professionnelle: Qualifié ( >3 expérience <15 ans)

Niveaux de qualification: Bac+4 / Bac + 5 (Master, MBA)

Nos valeurs

L’inclusion et la diversité sont au cœur de notre politique de ressources humaines. Nous assurons l'égalité des chances entre tous les candidats et sommes engagés à créer l’environnement de travail le plus accessible possible.

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