Data scientist

ENGIE
La Garenne-Colombes, France
24 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
Dutch, English, French
Job source

Tech stack

Amazon Web Services Microsoft Azure Cloud Database Code Review Continuous Integration Information Engineering Data Governance Dataspaces DevOps Python (Programming Language) SQL Databases Software Repository
+13 more
Data Processing Apache Spark Git Pandas Data Lakes Pyspark Git Flow Scikit Learn Data Management Machine Learning Operations Software Version Control Data Pipelines Databricks

Job description

SPM plays a vital role in modeling and hedging energy risks for client portfolios. The function is evolving from locally fragmented teams to a more centralized, harmonized approach. Key transformation initiatives include:

  • 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

Our teams are committed to fostering a culture of collaboration, knowledge sharing, and continual improvement, ensuring both global alignment and local value creation for ENGIE’s clients and stakeholders.

Within SPM the transversal domain TrueWatts is in charge of:

  • gathering people in charge of actuals consumption management, 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.

Requirements

  1. 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).
  1. 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.

  1. 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.

  1. 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, and collaborative workflows, as well as maintaining comprehensive and up-to-date 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 similar role is required

Languages:

  • English (Must) / French (is a plus) / Dutch (is a plus)

About the company

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

OneB2B - Strategic Focus. As a key pillar, OneB2B drives ENGIE’s B2B strategy by accelerating the delivery of tailored solutions, reducing operational costs, and leveraging unified platforms and shared tools. The team is committed to:

  • Speeding up time-to-market for innovative B2B offerings

  • Lowering service and build costs

  • Developing the Bee-Stone suite-a unified platform that balances global standards with local needs

  • Aligning IT and business strategies across geographies

  • Implementing agile methodologies and strong governance to support long-term goals

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!, * design the MPD features and support its deployment (MDP is the product in charge of metering data management in Engie)

This domain is composed of several operational Middle Offices, in charge of certifying the actuals (balancing and billing volumes) for all Supply processes, leveraging the use of MDP.

Additionally, the core product team is the small data science team in charge of designing the core features that will be industrialized by MDP IT teams. The features support all the grid data imperfections: holes in timeseries, inconsistencies between sources, etc. From the detection of inconsistency patterns to the correction algorithm, this team is charge of settling the common framework use through all the B2B countries.

About the TrueWatts Team within SPM

The TrueWatts domain is a dynamic and cross-functional teams at the heart of Supply Portfolio Management (SPM), dedicated to delivering excellence in actual consumption management. Our mission is to bring together experts of dedicated Middle Offices to certify actual consumption volumes-balancing and billing-for every Supply process.

The TrueWatts domain plays a pivotal role in designing and deploying the MPD (Bee Stone metering data management product) for ENGIE. We support its implementation by developing innovative features and ensuring best practices are shared across all operational Middle Offices, making full use of MPD’s capabilities.

At the core of TrueWatts is a focused data science team that creates and refines the foundational algorithms powering the MPD curation pack. We tackle challenges such as gaps in time series data, inconsistencies between sources, and grid data imperfections. Our work ranges from detecting patterns of inconsistency to building correction algorithms, establishing a robust framework that is applied across all ENGIE’s B2B operations worldwide.

Joining TrueWatts means being part of an innovative and collaborative environment, where your contributions will directly drive the energy data reliability and help shape green and competitive offers. If you’re excited by solving complex data challenges and making a real impact on the energy sector, the TrueWatts domain is the place for you., ENGIE is a global leader in low-carbon energy and services, committed to accelerating the transition towards a carbon-neutral world. Our purpose (ā€œraison d’êtreā€) 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. Business Unit: Supply & Energy Management Division: EC SUPPLY PORTFOLIO MANAGEMENT

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on fr.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer Ā· Coffee With Developers

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum Ā· WWC Europe 2026

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel Ā· WWC 2024

1:34 min

Bringing diverse skills to industrial data science roles

Katja TrƤumner

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 Ā· Coffee With Developers

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt Ā· LIVE

Videos

See all

Related articles

See all