ENGIE puts sustainable development at the center of its activities (electricity, natural gas, energy efficiency, and services) to meet the challenges of the energy transition to a low-carbon economy: access to a sustainable economy, climate change mitigation and adaptation, and resource optimization. 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 unitoptimizes the Group’s and clients’ production assets and designs tailored energy solutions for our 200,000 professional clients and15 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. Together, we push the boundaries of innovation to deliver decarbonized energy 24/7. We are looking for a Forecasting Data ScientistSenior in Supply & Energy Management Italy, based in Milan . The ideal candidate is a data-driven professional with a strong quantitative background and hands-on experience in data science and machine learning, particularly in time series forecasting. The role combines solid programming skills (Python and R) with a practical, business-oriented mindset and the ability to transform complex data into actionable insights. He/she has experience with energy supply processes, modern data platforms (e.g.
Databricks, Spark), and cloud-based analytics environments.
As a Forecasting Data ScientistSenior , you will contribute to the development and delivery of forecasting processes and models that support the energy supply business.




Under the guidance of theDigital &PortfolioModelling; Manager, you will collaborate closely withforecasting,portfolio managers,pricers, and other business stakeholders to ensure forecastingmodelsareaccurate,timely, and aligned with operational needs.
Your work will be based on rigorous data collection and analysis, and will directly contribute tooptimizingcosting, forecasting, sourcing, and hedging strategies within a defined business mandate. You will be actively involved in the design, implementation, and continuous improvement of forecasting tools and methodologies, ensuring alignment with global standards and contributing to their evolution. Your role will also include cross-functional collaboration within the SPM community and withdata andforecasting teams in other countries to promote knowledge sharing and consistency. You will be responsible not only for the technical development of forecastingmodelsbut also for ensuring their operational reliability and relevance to business needs.
You will provide scientificexpertisefor bespoke analyses and contribute to the continuous improvement of forecasting practices. Model and Process Development: Contribute to the design, implementation, and continuous improvement of forecasting tools, models, and processes used to support the energy supply business. Commercial Offer Support: Participatein the development of forecasting components for new commercial offers,



ensuring alignment with business needs and market dynamics. Customer Insights:Analyze customer behavior using diverse data sources to enhance forecasting accuracy and business relevance. Data Utilization:Leveragea wide range of internal and external data sources to ensure robust andaccurateportfolio and consumption representation. Advocate for good practices in data handling, model development, and coding standards across the team and broader community. Cross-Team Collaboration:Actively engage with other quantitative analysts and data scientists across teams to exchange ideas, models, data, and technical insights, fostering a collaborative and innovative environment. Strong analytical mindset , with the ability to tackle complex forecasting challenges and translate data into actionable insights. Creative and innovation-driven , with a passion for developingstate-of-the-artforecasting models and solutions that push boundaries andanticipatefuture business needs. Agile and adaptive mindset , embracing continuous improvement, iterative development, and responsiveness to changing business priorities. Cultural intelligence , with the ability to work effectively in a multicultural and international environment, respecting diverse perspectives. Education and professional background ~ Master’s degree or PhD in applied mathematics, engineering, data science, physics, economics, or a related quantitative field. ~5+ years of experiencein forecasting, data science, or quantitative analysis, preferably in the energy sector. ~ Proficient programming skills , in Python and R, with familiarity in software development best practices including version control (e.g., Git). ~ Knowledge of modern data science platforms and engines , su

📌 Data Analyst intern (Italia)
🏢 ENGIE Group
📍 Italia