Six-Month Internship Program – Grenoble, France (on-site)

Start Date: 17 February 2026

About the Internship

We are offering three full-time internship opportunities in Grenoble beginning February 2026:

• Two positions in Renewable Portfolio Analytics.
• One position in Quantitative Research, focusing on data science techniques for renewable energy forecasting.

Our Grenoble office is a small, talent-rich hub, home to a highly skilled and experienced team who are focused on tackling the inherent challenges of making renewable energy sustainable. Our close-knit environment provides interns with an opportunity to build meaningful, hands-on mentorship relationships with specialists across the business.

All three internships share a common foundation: practical experience, exposure to real-world business challenges, and the opportunity to collaborate with skilled professionals in a supportive environment.

Eligibility: You must be enrolled at a French university or Grande École and able to obtain a convention de stage for a six-month internship starting February 2026.

If you don’t meet the French convention de stage requirements, please keep an eye out for our 2026 internship opportunities in Berlin, Geneva, London and the US, which will open in the coming weeks. Follow us on LinkedIn to be the first to hear when applications go live.

Track 1: Renewable Portfolio Analytics (two positions)

Work with state-of-the-art analytical tools to support live operational needs in the renewable energy sector.

Key Technical Themes

• Time Series Analysis: Anomaly detection, data curation, validation, and processing for wind and solar assets.
• String-Level Analysis: Development of advanced processing methods to enhance accuracy and efficiency.
• Data Insights & KPIs: Design and build KPIs to assess data quality and model performance.
• Tool & Product Roadmap: Contribute ideas, propose improvements, and help shape the evolution of internal tools.

What You Will Learn

• Application of cutting-edge analytics to real operational challenges.
• Use of LLMs and AI agents in business-critical analytics.
• Methods to automate operational processes for energy market efficiency.
• How technical insights translate into commercial and operational decision-making.

Track 2: Renewables Data Science (one position)

As part of our Quantitative Research team, work on quantitative modelling and renewable energy forecasting within a team of experienced quantitative researchers.

Key Technical Themes

• Model Aggregation: Designing and evaluating methods to combine renewable forecasting models.
• Weather-Driven ML Models: Developing machine learning models that use meteorological data to predict renewable generation.
• Time Series Forecasting: Applying statistical and ML-based forecasting methods and associated data preprocessing.
• Data Engineering Workflows: Building pipelines to operationalise models in production environments.
• Advanced ML/DL Exploration: Investigating machine learning and deep learning techniques to improve forecasting accuracy.

What You Will Learn

• Develop and deploy renewable forecasting models using machine learning and statistical approaches.
• Work with real-world weather and generation datasets.
• Apply data engineering, deep learning, and model optimisation techniques.
• Operate within an applied quantitative research workflow alongside experienced quants.

About You

Across our Grenoble internships for 2026, we are looking for motivated individuals who are eager to grow and contribute to a fast-paced, intellectually stimulating environment and have a keen interest in renewable energy.

Essential Criteria

• Enrolled at a French university or Grande École and able to obtain a six-month convention de stage from February 2026.
• Strong academic background in Engineering, Mathematics, Computer Science, Data Analytics, Statistics, or a related discipline.
• Business-level English and French language proficiency.
• Strong analytical and problem-solving abilities.
• Effective communication skills and a collaborative mindset.
• Attention to detail and comfort working with large datasets.
• Genuine interest in renewable energy and commodity markets.

Track-Specific Criteria

Renewable Portfolio Analytics Internship:

• Experience with time series data, Python, data processing, KPI design, and analytical modelling.
• Interest in LLMs, automation tools, or operational analytics.

Quantitative Research Internship:

• Knowledge of ML/DL, applied mathematics, weather/renewable modelling, computer science, or data engineering.
• Hands-on experience running ML models in Python and handling time series data is highly beneficial.

What We Offer

• Attractive internship compensation package.
• Restaurant vouchers (tickets restaurant).
• Sustainable mobility allowance (forfait mobilité durable).
• A friendly, supportive, and inclusive working environment.
• The opportunity to work alongside experts in analytics, quantitative research, and renewable energy.
• Real responsibilities and the chance to make a meaningful impact.