Data scientist

Senior Data Scientist – Data Modeling & Quality

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 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.

Context of the Supply Portfolio Management (SPM) – Strategic Importance

• Establishing a central SPM entity to develop consistent methods and tools
• Building a collaborative, cross‑geography SPM community
• Supporting career growth for portfolio managers
• Promoting best practices and unified risk representation
• Implementing scalable, automated systems for improved forecasting, pricing, and contract management

The TrueWatts Domain

The TrueWatts domain is a dynamic and cross‑functional team at the heart of Supply Portfolio Management (SPM), dedicated to delivering excellence in actual consumption management. Our mission is to bring together experts from dedicated Middle Offices to certify actual consumption volumes—balancing and billing—for every Supply process. At the core of TrueWatts is a focused data science team that creates and refines the foundational algorithms powering the MPD curation pack, tackling challenges such as gaps in time series data, inconsistencies between sources, and grid data imperfections.

Role

As senior data scientist in the core business team of the TrueWatts domain, you will:

• Identify and analyze patterns of inconsistencies across the various available data sources.
• Develop and implement algorithms to correct detected inconsistencies.
• Design and deploy operational quality monitoring dashboards for use by Middle Offices.
• Work daily to enable Middle Offices to effectively fulfill their responsibilities across different Supply processes, including forecasting, pricing, billing, closing, and customer care.
• Support the industrialization of data processing solutions developed by the business team in collaboration with IT teams.

Hard skills

• Data Platforms & Environment – Expert command of Databricks (Spark, notebooks, Delta Lake) to design, build, and scale data workflows end‑to‑end.
• Deep understanding of cloud data environments (Azure or AWS) and modern data pipeline orchestration (Delta Live Tables, workflow automation).
• Advanced proficiency in SQL and PySpark for large‑scale data transformation, integration, and quality control.
• Proven experience designing robust inconsistency detection frameworks (validation layers, anomaly detection, quality metrics).
• Capability to develop and implement automated correction algorithms, from business rule definition to deployment in production.
• Solid knowledge of data quality governance, including testing, monitoring, and continuous improvement.
• Strong skills in Python (pandas, scikit‑learn, PySpark MLlib) for advanced analysis, pattern discovery, and model development.
• Ability to design analytical approaches to uncover hidden patterns, detect anomalies, and explain data discrepancies.
• Proven experience in time‑series management and statistics.
• Track record of translating complex business challenges into actionable data models and measurable outcomes.
• Experienced deploying, scaling, and maintaining data science solutions in production environments.
• Familiarity with DevOps/MLOps practices (CI/CD, version control, testing, monitoring) to ensure reliability and reproducibility.
• Strong focus on documentation, traceability, and maintainability of solutions over time.
• Demonstrated expertise in managing Git repositories, including branching strategies, code reviews, and collaborative workflows, as well as maintaining comprehensive and up‑to‑date project documentation within Git platforms.

Soft skills

• Proven ability to take initiative: propose new analytical approaches, identify opportunities for data quality improvement, and challenge existing processes.
• Comfortable collaborating with business and technical stakeholders, turning complex data insights into strategic recommendations.
• Capable of leading operational adoption of solutions, supporting users, and driving continuous enhancement of the data ecosystem.

Education and professional background

• Engineering degree or business school, master.
• 5 years’ experience in a similar role is required.

Languages

• English (Must).
• French (plus).
• Dutch (plus).

Travel

The job is based in Paris, with occasional travel required to Lyon and other locations in Europe.

Why join us?

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.