Data Scientist Forecasting

1 giorno fa

Pavia, Lombardia, Italia ENGIE Tempo pieno
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