Data Scientist Portfolio Modelling

data scientist portfolio modelling

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.

• Who are we looking for?
• We are currently searching for Data Scientist Portfolio Modelling in S&EM Italy, based in Milan.

This strategic role is key to shaping and optimizing ENGIE’s energy supply portfolio, enabling the definition of effective hedging strategies, managing risk exposure, and driving commercial performance. The ideal candidate is a data-driven professional with strong analytical and coding skills, capable of translating complex datasets into actionable insights. He/she will develop innovative portfolio representations, collaborating with cross-functional teams and leveraging advanced technologies. He will actively contribute to EBIT growth, portfolio expansion, and customer retention.

ENGIE Supply & Energy Management (S&EM) provides energy supply solutions and risk management services to support its clients through their decarbonization journey, while optimizing ENGIE’s assets and contributing to value creation.

ENGIE is a global reference in low-carbon energy and services with a leading energy management business, piloted by its Global Business Unit Supply & Energy Management (S&EM) who built its savoir-faire managing the Group’s large and diverse asset portfolio over 20+ years.

7,500 employees around the world develop our solutions, through 19 countries. We cover the full energy mix: renewable and thermal power, natural gas & LNG, biomass, environmental products. Our experts provide tailor made solutions based on a wide range of savoir-faire in energy management with a strong focus on decarbonation and decentralization.

Our clients span the entire value chain: producers, asset developers, financial players, utilities, distributors and industrials. Our global reach and strong local presence enable us to offer these diverse clients tailor-made services and respond to rapid changes in mature or emerging markets alike.

Our 3 Expertise:

• Asset management
• Energy supply , providing green energy & innovative solutions
• Risk management & market access

At S&EM we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you.

• What will you do?
• Reporting to the Portfolio Modelling & Data Manager, you will:

Portfolio Representation :

• Analyze complex data sets to identify trends and insights that will  inform strategic decisions.
• Develop robust volume and economic forecasting models to support risk management and unlock new business opportunities.
• In collaboration with Energy Management, ensure accurate economic representation of the portfolio.
•  Apply machine learning techniques to enhance accuracy and operational efficiency.
• Use data visualization tools to communicate findings to both technical and non-technical stakeholders.

Technical Collaboration and Platform Development

• Work closely with Product Owner, Portfolio Managers, Data Engineers, and Cloud Engineers to maintain and scale the forecasting platform.
• Utilize tools such as Jira, Confluence, Miro, Microsoft Teams, and GitHub to manage workflows and project execution.
• Utilize data and cloud technologies (e.g., AWS, Databricks, Collibra, Power BI) to enhance analytics and reporting capabilities.

Leadership And Documentation

• Foster a culture of innovation and continuous improvement in data analysis practices.
• Document methodologies, processes and project outcomes to ensure transparency and scalability.
• Act as key point of contact for stakeholders, aligning initiatives with company objectives.

Cross-Country Coordination

Collaborate with quant teams in France, Belgium and the Netherlands to harmonize forecasting, models and processes.

About You

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering or a related field.
• 2 to 3 year experience in data science or similar roles.
• Solid proficiency in data management, cloud platforms and data visualization tools (e.g., AWS, Databricks, Collibra, Power BI).
• Hands-on experience with productivity and collaboration tools (Jira, Confluence, Miro, Microsoft Teams, GitHub).
• Strong foundation in statistics, machine learning and data analysis techniques.
• Programming skills in Python, R or SQL, with ability of handle large datasets and apply low code solutions.
• Understanding of energy market risks (volume, price, commercial, operational) and related mitigation strategies.
• Fluency in English
• Ability to coordinate with business stakeholders and international teams.
• Proven track-record in managing cross-functional projects.
• Preferred: experience in the B2C energy sector and familiarity with digital transformation of commercial processes, knowledge of European energy markets and regulatory frameworks.

Personal Attributes

• Strategic thinker with a proactive and innovative mindset.
• Collaborative team player, comfortable in a fast-paced and dynamic environments.
• Able to balance short-term tactical needs with long-term strategic goals.

Type Of Contract:

Permanent contract according to local law

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.