Senior Data Scientist

Within ENGIE’s Global Business Unit Supply & Energy Management (GBU S&EM), Supply Portfolio Management (SPM) plays a vital role in modeling and hedging energy risks for client portfolios. The Senior Data Scientist - Data Modeling & Quality role sits in the Supply Portfolio Management organization, which is evolving from locally fragmented teams toward a more centralized and harmonized approach.

• 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

Within SPM, the transversal domain TrueWatts is responsible for gathering people in charge of actual consumption management, sharing good practices, building expertise on data modeling and grid error management, and designing MPD features while supporting deployment. MPD is the product dedicated to metering data management at ENGIE.

This domain is composed of several operational Middle Offices, in charge of certifying actual volumes for balancing and billing across all Supply processes by leveraging MPD.

The core product team is a small data science team responsible for designing core features that will be industrialized by MPD IT teams. These features address grid data imperfections such as holes in time series and inconsistencies between sources.

Scope of the team’s work

• Support grid data imperfections such as holes in time series and inconsistencies between sources
• Detect inconsistency patterns
• Develop correction algorithms
• Settle a common framework used across all B2B countries

About the TrueWatts Team within SPM

The TrueWatts domain is a dynamic and cross-functional team within Supply Portfolio Management, dedicated to actual consumption management. Its mission is to bring together experts from Middle Offices to certify actual consumption volumes for balancing and billing across every Supply process.

The team plays a pivotal role in designing and deploying the MPD metering data management product for ENGIE, supporting implementation by developing innovative features and sharing best practices across operational Middle Offices.

At the core of TrueWatts is a focused data science team that creates and refines foundational algorithms powering the MPD curation pack. The team tackles gaps in time series data, inconsistencies between sources, and other grid data imperfections, from detecting inconsistency patterns to building correction algorithms, while establishing a robust framework applied across ENGIE’s B2B operations worldwide.

Joining TrueWatts means being part of an innovative and collaborative environment where your contributions will directly improve energy data reliability and help shape green and competitive offers. The role is suited to someone motivated by solving complex data challenges and making a tangible impact on the energy sector.

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, customer care, balancing, and billing certification.
• 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).

Data Engineering & Quality Management

• 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.

Data Science & Analytical Insight

• 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 timeseries management and statistics.
• Track record of translating complex business challenges into actionable data models and measurable outcomes.

Industrialization & Delivery

• Experience 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, collaborative workflows, and maintaining comprehensive project documentation within Git platforms.

Soft skills

Leadership, Initiative & Collaboration

• 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 is a plus; Dutch is a plus.

If you meet these requirements, then you are the talent we are looking for.