Junior, Mid-Level
Data Scientist Forecasting
Data Scientist Forecasting
Posting Start Date:
6/23/26
Requisition ID:
65707
Informations générales
Milano, Italy, 42997
ENGIE ITALIA S.P.A
Trading / Portfolio Management
Permanent
Full - Time
Data Scientist Forecasting
WHO IS ENGIE?
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.
ENGIE, a global leader in low-carbon energy and services, relies on its Global Business Unit Supply & Energy Management (GBU S&EM) to provide reliable, sustainable, and affordable energy to all its customers. This strategic unit optimizes the Group’s and clients’ production assets and designs tailored energy solutions for our 200,000 professional clients and 15 million consumers. The Global Business Unit Supply & Energy Management leverages ENGIE’s assets to deliver secure and sustainable energy to its B2B and B2C customers. It uses its expertise in energy management to provide decarbonized electricity 24/7.
Joining Supply & Energy Management means becoming part of a team of over 10,000 passionate experts spread across 20 countries, all united by a shared mission: shaping a greener and more efficient energy future. Together, we push the boundaries of innovation to deliver decarbonized energy 24/7. Join us and be part of those shaping the energy of tomorrow!
WHO ARE WE LOOKING FOR?
We are looking for a Forecasting Data Scientist in Supply & Energy Management Italy, based in Milan.
The ideal candidate is a data-driven professional with a strong quantitative background and hands-on experience in data science and machine learning, particularly in time series forecasting. The role combines solid programming skills (Python and R) with a practical, business-oriented mindset and the ability to transform complex data into actionable insights.
He/she has curiosity for energy markets and the energy transition, along with the willingness to deepen knowledge of market design and regulatory frameworks. He/she has experience with energy supply processes, modern data platforms (e.g. Databricks, Spark), and cloud-based analytics environments. Strong communication skills and the ability to clearly explain technical concepts to non-experts complete the profile.
WHAT WILL YOU DO?
As a Forecasting Data Scientist, you will contribute to the development and delivery of forecasting processes and models that support the energy supply business. Under the guidance of the Digital & Portfolio Modelling Manager, you will collaborate closely with forecasting, portfolio managers, pricers, and other business stakeholders to ensure forecasting models are accurate, timely, and aligned with operational needs. Your work will be based on rigorous data collection and analysis, and will directly contribute to optimizing costing, forecasting, sourcing, and hedging strategies within a defined business mandate.
You will be actively involved in the design, implementation, and continuous improvement of forecasting tools and methodologies, ensuring alignment with global standards and contributing to their evolution. Your role will also include cross-functional collaboration within the SPM community and with data and forecasting teams in other countries to promote knowledge sharing and consistency.
You will be responsible not only for the technical development of forecasting models but also for ensuring their operational reliability and relevance to business needs. You will provide scientific expertise for bespoke analyses and contribute to the continuous improvement of forecasting practices.
Key Responsibilities
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Model and Process Development: Contribute to the design, implementation, and continuous improvement of forecasting tools, models, and processes used to support the energy supply business.
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Commercial Offer Support: Participate in the development of forecasting components for new commercial offers, ensuring alignment with business needs and market dynamics.
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Customer Insights: Analyze customer behavior using diverse data sources to enhance forecasting accuracy and business relevance.
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Data Utilization: Leverage a wide range of internal and external data sources to ensure robust and accurate portfolio and consumption representation.
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Best Practices Promotion: Advocate for good practices in data handling, model development, and coding standards across the team and broader community.
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Code Quality Assurance: Ensure high-quality, maintainable code by adhering to established development standards and guidelines.
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Cross-Team Collaboration: Actively engage with other quantitative analysts and data scientists across teams to exchange ideas, models, data, and technical insights, fostering a collaborative and innovative environment.
ABOUT YOU
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Master’s degree or PhD in applied mathematics, engineering, data science, physics, economics, or a related quantitative field.
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Strong analytical mindset, with the ability to tackle complex forecasting challenges and translate data into actionable insights.
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Clear and effective communication skills, especially in explaining technical concepts to both technical and non-technical stakeholders.
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Collaborative and inclusive team player, contributing to a positive and high-performing work environment.
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Creative and innovation-driven, with a passion for developing state-of-the-art forecasting models and solutions that push boundaries and anticipate future business needs.
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Agile and adaptive mindset, embracing continuous improvement, iterative development, and responsiveness to changing business priorities.
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Cultural intelligence, with the ability to work effectively in a multicultural and international environment, respecting diverse perspectives.
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2+ years of experience in forecasting, data science, or quantitative analysis, preferably in the energy sector.
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Proficient programming skills, in Python and R, with familiarity in software development best practices including version control (e.g., Git).
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Knowledge of modern data science platforms and engines, such as Databricks and Spark, is a strong asset.
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Experience with cloud-based analytics environments and digital tools used in forecasting and portfolio management.
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Fluency in English is a must, other languages are welcome
At ENGIE, every talent has a role to play in accelerating the energy transition. Make a difference and enjoy a fulfilling professional experience. Take on exciting challenges and build a career path that reflects who you are.
Join us and be part of the adventure of the century!
Salary: The gross annual salary for the role ranges between €39.000 and €53.500, depending on experience and level of seniority.
ABOUT ENGIE 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.
Business Unit:
Supply & Energy Management
Division:
BP ITALY
Legal Entity:
ENGIE ITALIA S.P.A
Company Name:
ENGIE Italia
Minimum Base Salary:
Maximum Base Salary:
Pay Basis:
Nos valeurs
L’inclusion et la diversité sont au cœur de notre politique de ressources humaines. Nous assurons l'égalité des chances entre tous les candidats et sommes engagés à créer l’environnement de travail le plus accessible possible.
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