Energy Management (EM) is responsible for the management of the ENGIE Group's assets, ensuring competitive energy for customers while optimizing created value, within a consistent risk framework.

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

15,000 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 +120,000 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 expertise:

Asset management

Energy transition services

Energy supply & global commodities

Risk management & market access

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

More info on GEM Hub (https://gems.engie.com) or LinkedIn (https://www.linkedin.com/company/engie-global-energy-management-solutions).

Mission:

EM IS team provides new solutions or system integration and support to simplify and automize the business’ daily activities. We have a multi cloud platform, with all the applications and classic DWH projects are hosted as a PaaS architecture in Azure while there is a data lake hosted in AWS and several Machine learning projects are being migrated in this platform.

Based on its perimeter defined by IS Cloud & Data Science Manager, the candidate will learnhave the following responsibilities:

• Analyze and manage large volumes of data using SQL and data engineering tools.
• Implement and scale solutions on AWS cloud for model training and inference. 
• Create and maintain interactive dashboards and reports to support strategic decisions. 
• Collaborate with internal teams and stakeholders to understand business needs and propose data-driven solutions.
• Integrate models with external systems through the development or use of RESTful APIs. 
• Ensure data quality and robustness of developed models. 
• Develop and maintain data ingestion and ETL systems.
• Develop and optimize machine learning models for time series forecasting in the energy sector.

The ideal profile matches with the followings prerequisites:

Degree/Experience:

Essential:

• Bachelor's degree in STEM disciplines (Computer Science, Engineering, Mathematics, Physics, Statistics, or related fields);
• Excellent knowledge of Python and SQL for data analysis and modeling. 
• At least 2 years of experience in Data Science roles, with a focus on time series forecasting using Machine Learning and Deep Learning techniques.
• Experience in developing and implementing solutions on AWS (e.g., Lambda, S3, SageMaker, Redshift, etc.).

Desirable:

• Knowledge of energy market dynamics, with particular reference to spot markets and energy commodities. 
• Experience with big data technologies. 
• Experience in developing reinforcement learning models for automated trading applications. 
• Experience with MLOps frameworks and CI/CD for model deployment. 

Behavioral:

The Data Scientist for EM strives to provide the highest possible quality of services such as the analysis, development and deployment of innovative solutions to the GEMS users.

Therefore, skills needed are

• Excellent command of written and spoken English for working in international contexts.
• Interactive behavior: Active Listening and verbal and written communication skills.

• Problem solving: Issues perception, analyzing, practical thinking, creativity, innovation.

• Personal effectiveness: Facilitation skills, pragmatism and pro-activity, taking initiative.
• Ability to communicate complex results to technical and non-technical stakeholders through dashboards and reports.

Location:

Rome

Type of contract:

Local contract according to Italian labor law.

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, renewable energy, services) to offer competitive solutions to our customers. With our 170,000 employees, our customers, partners and stakeholders, we are a community of Imaginative Builders, committed every day to more harmonious progress.

Recognized for 2025 by Sole24Ore as a leading company in diversity & inclusion, the ISO 30415:2021 and UNI PDR 125:2022 certifications are further proof of our commitment.