Data Scientist Forecasting
Pubblicato il 09-10-2026 - ENGIE in Monza
Overview
As a Forecasting Data Scientist in ENGIE’s Supply & Energy Management, you will develop and refine forecasting tools for the energy supply business. You will work with cross-functional teams to ensure accurate, timely forecasts that inform costing, sourcing, and hedging. You’ll implement state-of-the-art models aligned with global standards, while promoting best practices and knowledge sharing across geographies. Your work supports decarbonized, reliable energy solutions for B2B and B2C customers.
Responsabilità Design, implement, and improve forecasting tools, models, and processes for the energy supply business
Develop forecasting components for new commercial offers aligned with market dynamics
Analyze customer behavior to improve forecasting accuracy and relevance
Utilize diverse internal and external data sources for robust portfolio and consumption representation
Advocate for data handling and coding best practices across the team and broader community
Ensure high-quality, maintainable code following development standards
Collaborate with quantitative analysts and data scientists across teams to share models, data, and insights
Requisiti fondamentali Master’s degree or PhD in applied mathematics, engineering, data science, physics, economics, or related quantitative field
Strong analytical mindset with ability to translate data into actionable insights
Clear and effective communication skills for technical and non-technical stakeholders
Collaborative and inclusive team player with an innovation-driven mindset
2+ years of experience in forecasting, data science, or quantitative analysis, preferably in energy
Proficient programming in Python and R with version control knowledge (Git)
Knowledge of Databricks and Spark is a strong asset
Experience with cloud-based analytics environments and forecasting/portfolio management tools
Fluency in English
clear communication
collaboration
creativity
Python
R
Databricks