Data Scientist

Requisition ID: 15721- Location: COURBEVOIE, FR, 92400**About US (GEMS)**: ENGIE Global Energy Management & Sales (GEMS) provides energy supply solutions and risk management services to support its clients through their decarbonization journey, while optimizing ENGIE’s assets and contributing to value creation. ENGIE is a global reference in low-carbon energy and services with a leading energy management business, piloted by its entity "Global Energy Management & Sales" who built its savoir-faire managing the Group’s large and diverse asset portfolio over 20+ years. 3,300 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 +120,00 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 expertises: - Asset management - Energy transition services - Energy supply & global commodities - Risk management & market access At GEMS we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you. **Context**: **Battery Energy Storage Systems (BESS) are central to ENGIE’s strategy driven by decarbonization, decentralization, and digitalization. Our ambition is to become a major player in BESS. BESS are an important piece of the global decarbonisation drive providing flexibility to systems and portfolios by replacing part of conventional generation (coal exit), complementing increasing renewables buildout (wind, solar), and supporting to balance power grids (ancillaries) and save excess energy (arbitrage). Several countries have been identified standing out as promising for BESS investments. Those countries show strong potential for capacity deployment over the coming years, driven by ambitious decarbonisation targets, projected exponential growth in renewables, and retirement of ageing conventional power plants.**: ENGIE is uniquely placed to deliver on these objectives as 3 Global Business Units are active in BESS deployment: front-of-the meter grid connected BESS and residential BESS (GBU TS), front-of-the meter grid-connected paired with renewables (GBU R) and behind-the-meter at client’s premises (GBU ES). Our worldwide presence, strong industrial capabilities, and local anchorage as well as a deep know-how in power management and trading (GEMS) will allow us to develop integrated solutions for systems, internal portfolio needs and our customers across the value chain: from development through construction into operations, portfolio optimization while providing ancillary services and flexible power when required. Our ambition is to become a BESS player present in key markets worldwide providing flexibility while extracting value from the embedded optionality offered by deploying BESS. To succeed in this rapidly evolving business, Engie want to embrace digital technologies as part of its strategy to bring differentiating solutions and protect its competitive advantages. This includes developing solutions to deliver value on core business activities, as well as investing in innovation, research, and development to explore new business models and solutions. For this reason, a strong focus and ambition has been put on building and implementing an ambitious digital strategy for BESS, we offer you the opportunity to join this incredible mission as Senior Digital Project Manager. **Role**: As a Data Scientist/Data Engineer in our BESS business, you will be a key contributor to our mission of advancing battery energy storage solutions through data-driven insights and innovative data infrastructure. This dual role combines expertise in data analysis and engineering to collect, process, and analyze data critical to the optimization and efficiency of BESS technologies. **Responsibilities**: Datascience - Data Analysis: Perform exploratory data analysis, develop statistical and predictive models to extract actionable insights from BESS-related data. - Data Visualization: Create clear and informative data visualizations to communicate findings and facilitate decision-making. - Data Cleaning and Preparation: Prepare and preprocess large datasets, improve data governance to ensure data quality and consistency. Data engineering - Data Architecture: Contribute to the design and maintenance of data architectures, considering scalability and performance. - Data Pipeline Development: Design and develop data pipelines to collect, process, and store data from various sources. - Data Integration: In