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A multinational energy company based in Milan is seeking a Data Scientist for Portfolio Modelling. The role involves analyzing complex data sets, developing forecasting models, and collaborating with international teams. Ideal candidates have a strong foundation in data science, programming skills, and experience with cloud platforms. The position offers a permanent contract in accordance with local law.
ENGIE puts sustainable development at the center of its activities (electricity natural gas energy efficiency and services) to meet the challenges of the energy transition to a low‑carbon economy : access to a sustainable economy climate change mitigation and adaptation and resource optimization.
We are currently searching for Data Scientist Portfolio Modelling in S&EM Italy based in Milan.
Reporting to the Portfolio Modelling & Data Manager you will :
Collaborate with quant teams in France Belgium and the Netherlands to harmonize forecasting models and processes.
Type of contract :
Permanent contract according to local law
Working at ENGIE a multinational group means having a wide variety of career opportunities in more than 30 countries. Whilst putting the community at the center of your professional life and contributing to real change during a challenging career.
Our commitment is clear : We support a social model that balances economic performance with positive impact on people and the planet. We bet on the power of community and act as part of a community committed to disrupting and reinventing the future. Diversity and inclusion are at the core of our corporate culture.
ENGIE is committed to combating all forms of discrimination in employment access to training and promotion. Therefore the integration and support of youth adults and people with disabilities regardless of gender ethnicity or religion are key priorities of human resources policy.
Recognized for 2025 by Sole24Ore as a leading company in diversity & inclusion the ISO 30415 : 2021 and UNI PDR 125 : 2022 certifications are further proof of our commitment.