Intern - Quantitative Analyst / Data Scientist

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ENGIE’s six month onsite internship as Quantitative Analyst / Data Scientist, based at La Garenne-Colombes and starting April 2026, sits in the France B2C/B2B focused Quantitative Data Analysts team. You’ll work on forecasting explainability and time-series completion with DL and GenAI, build models on large datasets, and promote best coding practices while collaborating across BP Downstream. What matters most: a solid foundation in probability, statistics and data science, strong Python (Git) skills, experience with time-series forecasting, a practical proactive mindset, and the ability to explain complex ideas to non experts; fluent English required. Nice to have: energy markets interest, Databricks/Spark, prior model development. To apply, tailor your CV to highlight relevant projects and impact.

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Intern - Quantitative Analyst / Data Scientist

 

��Location: La Garenne-Colombes – Campus ENGIE

Stage de 6  mois, à partir d’ Avril 2026

 

About Supply & Energy Management : 

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!

 

Context

This internship takes place within the Quantitative Data Analysts team, which supports the B2C and B2B France Business Units in managing risks related to energy supply.

As part of the Business Platform Downstream quantitative analyst community, the intern may also contribute to transversal projects impacting other commercial entities.

 

Your Mission

As an intern, you will participate in innovative projects involving forecasting models and data generation techniques, including:

1. Forecast Explainability

• Contribute to the development or enhancement of methods designed to explain and visualize the behavior of forecasting models, with objectives such as:
• Comparing different forecasts
• Identifying and quantifying root causes of discrepancies
• Improving transparency and interpretability

2. Time-Series Completion with Deep Learning / GenAI

• Help improve a model that aims to:
• Complete missing consumption time-series using existing data and customer features
• Generate full consumption time-series when data is unavailable
• Produce realistic and consistent data for forecasting purposes

Daily Responsibilities

• Participate in the design, development, and delivery of quantitative models and tools
• Work with large datasets to ensure accurate representation
• Promote coding and data best practices (versioning, quality, standards)
• Collaborate with analysts and data scientists across BP Downstream
• Provide scientific insight to B2C & B2B France teams on the impact of model developments

 

What we are looking for

Hard skills

Must Have

• Strong scientific foundation: probability, statistics, data science, machine learning
• Knowledge of time-series forecasting methods
• Strong proficiency in Python and associated tools (Git, etc.)
• Interest in data manipulation and operational analytics
• Practical, hands-on mindset
• Ability to take initiative and challenge the status quo
• Strong communication skills, especially explaining technical topics to non-experts

Nice to Have

• Interest in energy markets and the energy transition
• Experience with modern data platforms (Databricks, Spark, etc.)

 

Soft skills

Must Have

• Strong planning and organizational skills
• Team-player mindset: collaborative, transparent, and supportive

Nice to Have

• Practical thinking
• Entrepreneurial mindset
• Conceptual thinking

 

Education & Experience

• Currently enrolled in a Master’s program (Year 1 or 2) in Engineering, Computer Science, Statistics, Mathematics, or Physics
• Previous experience in model development (through internships or projects) is a plus
• Knowledge of electricity or gas markets is appreciated

 

Languages

• Fluent in English

 

Why join us?

 

Diversity & Inclusion

Si vous remplissez ces critères, vous êtes le talent que nous recherchons. N’attendez plus – postulez dès maintenant avec votre CV.

Chez ENGIE S&EM, nous nous engageons à promouvoir un environnement inclusif et neutre en matière de genre, où chacun peut développer son potentiel.

Tous nos postes sont ouverts aux personnes en situation de handicap. Si vous avez besoin d’aménagements raisonnables pendant le processus de recrutement, veuillez en informer votre recruteur nous serons ravis de vous accompagner.

 

About ENGIE

ENGIE is a global leader in low-carbon energy and services, committed to accelerating the transition towards a carbon-neutral world. Our purpose (“raison d’être”) is clear: act to reduce energy consumption and develop cleaner, more sustainable solutions that balance economic performance with a positive impact on people and the planet.

We rely on our core businesses — gas, power, renewable energy, and services — to deliver competitive, tailored solutions to our customers worldwide.

With 96,000 employees and a strong network of partners and stakeholders, ENGIE is more than a company: we are a community of Imaginative Builders, working every day to create harmonious, sustainable progress.