ph3About ENGIE and Supply Energy Management (SEM) /h3 pENGIE is a global leader in low‑carbon energy and services. Its Global Business Unit Supply Energy Management (GBU SEM) provides reliable, sustainable, and affordable energy solutions to 200,000 professional clients and 15 million consumers. The unit optimises production assets and designs tailored energy solutions. /p h3About SEM Iberia /h3 pSEM Iberia is a local Business Platform of ENGIE SEM, active in Energy Management (Asset Optimization and Trading) and Client’s businesses (Wholesale and B2B) across Spain and Portugal. It employs 90 energy professionals, providing integrated energy management services for ENGIE’s 7.7 GW renewables and low‑carbon generation assets. /p h3Context /h3 pIn this position you will be part of Supply Portfolio Management (SPM), which optimises and manages an energy supply portfolio. Your role will focus on forecasting energy consumption, pricing strategies, and grid data analysis, supporting local and global projects and sharing best practices. /p h3Role /h3 pAs a Forecasting Team Member, you will develop forecasting processes and models under the guidance of the Forecasting Local Leader. You will collaborate with portfolio managers, pricers, and other stakeholders to produce accurate and timely forecasting outputs, contributing to cost optimisation, sourcing, and hedging strategies. /p ul liDesign, implement, and continuously improve forecasting tools, models, and processes. /li liRepresent commodity exposures and associated risks, including commercial position evolution and climatic impacts.



/li liSupport the development of forecasting components for new commercial offers. /li liAnalyse customer behaviour to enhance forecasting accuracy. /li liExecute forecasting models reliably, maintaining consistency and quality. /li liProvide deep insights into commodity sales portfolios (Natural Gas, Power, Certificates). /li liLeverage internal and external data sources for robust portfolio and consumption representation. /li liAdvocate good practices in data handling, model development, and coding standards. /li liEnsure code quality and maintainability. /li liCollaborate with quantitative analysts and data scientists across teams. /li /ul h3Hard Skills /h3 ul liStrong background in mathematics (probability, statistics), data science, and machine learning with time‑series forecasting experience. /li liProficient in Python and R; familiarity with software development best practices, including version control (Git). /li liHands‑on data handling and operational analytics, delivering business‑relevant solutions. /li liExcellent communication skills, explaining technical concepts clearly to non‑experts. /li liInterest in energy markets and transition topics, willing to deepen knowledge of market design and regulation.



/li liUnderstanding of energy supply business processes and local market design is a plus. /li liKnowledge of modern data science platforms (Databricks, Spark) is a strong asset. /li liExperience with cloud‑based analytics environments and digital forecasting tools. /li /ul h3Soft Skills /h3 ul liAnalytical mindset, tackling complex forecasting challenges and translating data into actionable insights. /li liEffective communicator, explaining technical concepts to both technical and non‑technical audiences. /li liCollaborative and inclusive team player, fostering a positive work environment. /li liCreative and innovation‑driven, passionate about developing state‑of‑the‑art forecasting models. /li liAgile and adaptive, embracing continuous improvement and changing priorities. /li liCultural intelligence, working effectively in a multicultural environment. /li liWillingness to travel occasionally and engage with integral forecasting teams. /li /ul h3Education and Professional Background /h3 ul liMaster’s degree or PhD in applied mathematics, engineering, data science, physics, economics, or a related quantitative field. /li li2+ years of forecasting, data science, or quantitative analysis experience, preferably in the energy sector. /li /ul h3Languages /h3 ul liEnglish is a must. /li liOther languages are welcome. /li /ul h3Business Unit and Legal Entity /h3 pBusiness Unit: Supply Energy Managementbr/Division: BP IBERIAbr/Legal Entity: ENGIE ESPAÑA, S.L.U. /p h3Professional Experience /h3 pSkilled (3‑15 years of experience) /p h3Education Level /h3 pBachelor's Degree /p /p #J-18808-Ljbffr

📌 Forescasting Analyst (Madrid)
🏢 ENGIE - International Supply & Energy Management
📍 Madrid