Edison operates across renewable generation, natural gas, and sustainable mobility across Italy and Europe, with 6,000+ employees and 140+ years in the sector. The tech stack reveals a data-forward organization—Python, PySpark, TensorFlow, PyTorch, LangChain alongside AWS, SAP, and Anaplan—but hiring pain points (industrializing ML models, migrating architecture to cloud, handling large datasets) indicate the gap between pilot-stage analytics and production-scale deployment. Engineering-heavy hiring (10 roles) concentrated at mid-level suggests they're scaling execution on known problems rather than exploring new platforms.
Edison is one of Europe's oldest energy operators, providing renewable power generation, natural gas supply, sustainable mobility solutions, and energy services (through Edison Energia and Edison Next) to enterprise clients, municipalities, and government bodies. The organization spans Italy and Europe with a workforce of 6,000+ employees. Active projects center on ML industrialization, renewable infrastructure (biometano plant expansion), cloud migration, regulatory compliance (ISO 50001, PCCA verification), and e-mobility initiatives. The company is actively hiring across engineering, finance, and operations, with expansion focused in Italy.
Python, PySpark, TensorFlow, PyTorch, LangChain for ML/data; AWS for cloud; SAP, Anaplan, Ariba for enterprise systems; Qlik Sense for analytics; GitHub for version control; QGIS and PVsyst for specialized energy modeling.
Milano, Italy. The company operates across Italy and Europe with 5,001–10,000 employees and is hiring exclusively in Italy at present.
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