PpENGIE 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. /p pENGIE, a global leader in low‑carbon energy and services, relies on its Global Business Unit Supply Energy Management (GBU SEM) 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. /p pbThe 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. /b /p pJoining 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. /p h3WHO ARE WE LOOKING FOR? /h3 h3We are looking for a bForecasting Data Scientist /b in Supply Energy Management Italy, based in bMilan /b. /h3 h3The 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. /h3 h3He/she has curiosity for energy markets and the energy transition, along with the willingness to deepen knowledge of market design and regulatory frameworks. He/she has experience with energy supply processes, modern data platforms (e.g. Databricks, Spark), and cloud‑based analytics environments. Strong communication skills and the ability to clearly explain technical concepts to non‑experts complete the profile. /h3 h3WHAT WILL YOU DO? /h3 pAs a Forecasting Data Scientist, you will contribute to the development and delivery of forecasting processes and models that support the energy supply business. Under the guidance of the Digital Portfolio Modelling Manager, you will collaborate closely with forecasting, portfolio managers, pricers, and other business stakeholders to ensure forecasting models are accurate, timely, and aligned with operational needs. Your work will be based on rigorous data collection and analysis, and will directly contribute to optimizing costing, forecasting, sourcing, and hedging strategies within a defined business mandate. /p pYou 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 with data and forecasting teams in other countries to promote knowledge sharing and consistency. /p pYou will be responsible not only for the technical development of forecasting models but also for ensuring their operational reliability and relevance to business needs. You will provide scientific expertise for bespoke analyses and contribute to the continuous improvement of forecasting practices. /p h3Key Responsibilities /h3 ul libModel and Process Development: /b Contribute to the design, implementation, and continuous improvement of forecasting tools, models, and processes used to support the energy supply business. /li libCommercial Offer Support: /b Participate in the development of forecasting components for new commercial offers, ensuring alignment with business needs and market dynamics. /li libCustomer Insights: /b Analyze customer behavior using diverse data sources to enhance forecasting accuracy and business relevance. /li libData Utilization: /b Leverage a wide range of internal and external data sources to ensure robust and accurate portfolio and consumption representation. /li libBest Practices Promotion: /b Advocate for good practices in data handling, model development, and coding standards across the team and broader community. /li libCode Quality Assurance: /b Ensure high‑quality, maintainable code by adhering to established development standards and guidelines. /li libCross‑Team Collaboration: /b 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. /li /ul h3ABOUT YOU /h3 ul liMaster’s degree or PhD in applied mathematics, engineering, data science, physics, economics, or a related quantitative field /li libStrong analytical mindset /b, with the ability to tackle complex forecasting challenges and translate data into actionable insights. /li libClear and effective communication skills /b, especially in explaining technical concepts to both technical and non‑technical stakeholders. /li libCollaborative and inclusive team player /b, contributing to a positive and high‑performing work environment. /li libCreative and innovation‑driven /b, with a passion for developing state‑of‑the‑art forecasting models and solutions that push boundaries and anticipate future business needs. /li libAgile and adaptive mindset /b, embracing continuous improvement, iterative development, and responsiveness to changing business priorities. /li libCultural intelligence /b, with the ability to work effectively in a multicultural and international environment, respecting diverse perspectives. /li li2+ years of experience in forecasting, data science, or quantitative analysis, preferably in the energy sector. /li libProficient programming skills /b, in Python and R, with familiarity in software development best practices including version control (e.g., Git). /li libKnowledge of modern data science platforms and engines /b, such as Databricks and Spark, is a strong asset. /li libExperience with cloud‑based analytics environments /b and digital tools used in forecasting and portfolio management. /li liFluency in English is a must, other languages are welcome. /li /ul h3ABOUT ENGIE /h3 pAt ENGIE, every talent has a role to play in accelerating the energy transition. Make a difference and enjoy a fulfilling professional experience. Take on exciting challenges and build a career path that reflects who you are. /p pWorking at ENGIE, a multinational group, means having a wide variety of career opportunities in more than 30 countries. Whilst putting the community at the center of your professional life and contributing to real change during a challenging career. Our commitment is clear: We support a social model that balances economic performance with positive impact on people and the planet. We bet on the power of community and act as part of a community committed to disrupting and reinventing the future. Diversity and inclusion are at the core of our corporate culture. /p pENGIE is committed to combating all forms of discrimination in employment, access to training and promotion. Therefore, the integration and support of youth, adults, and people with disabilities, regardless of gender, ethnicity, or religion, are key priorities of human resources policy. /p pRecognized 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. /p /p #J-18808-Ljbffr