Stage Détection de dérives de consommation énergétique de stations d’épuration par les approches machine learning

Veolia Environnement SA

20 days ago

Maisons-Laffitte, Île-de-France, France

Onsite

Internship

Medior

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About this role

Veolia is seeking a Master 2 or engineering school student specializing in Statistics, Data Science, or Applied Mathematics to develop a tool for detecting energy consumption deviations in wastewater treatment plants. The project involves understanding technical water treatment processes, reviewing methods for anomaly detection, formalizing statistical and machine learning models, implementing them in Python, and presenting results.

Skills

About Veolia Environnement SA

veolia.com

Veolia is a global environmental services company that provides water, energy and waste management solutions to municipal and industrial clients. Present on five continents, it designs, builds and operates integrated infrastructure and services for water treatment and distribution, energy efficiency and recovery, waste recycling and remediation. Veolia focuses on decarbonization, resource savings and regeneration, and pollution control through technologies and circular‑economy solutions that help clients meet sustainability and regulatory goals.