Energy Team Intern — AI & Software Development
Join Epyr's Energy team to build AI-powered software and production tools that help operate, analyze, and scale industrial decarbonization in the real world.
About Epyr
Epyr is a French climate-tech company on a mission to decarbonize industrial heat — one of the largest, hardest-to-abate sources of CO2 emissions in Europe. We develop next-generation Thermal Energy Storage systems that convert low-carbon electricity into reliable, high-temperature industrial heat. Our ambition is simple: make clean heat cheaper, more flexible, and more scalable than fossil fuels.
We operate at the intersection of energy markets (spot, intraday, flexibility, grid services), industrial systems (high-temperature processes, reliability constraints, deployment at scale), software and quantitative modeling (optimization, simulation, pricing, dispatch algorithms), and climate impact.
Why this internship matters
The Energy team relies on software to run real analyses, support operational decisions, and make the team faster every week. Your mission will be tech-first: build and improve internal tools used in a professional environment, connected to real production systems and live operational needs. You will also help identify where AI can create leverage for the team — from analysis automation to workflow acceleration and better knowledge access.
What you will do
- Build and improve internal software tools used by the Energy team in day-to-day work
- Contribute to AI-powered workflows, assistants, automations, and analysis tools that make the team more efficient
- Work on Python-based services, notebooks, data pipelines, APIs, dashboards, and internal applications
- Connect prototypes to real production constraints: reliability, usability, documentation, maintainability, deployment
- Investigate AI tools and use cases, test them pragmatically, and turn the useful ones into team workflows
- Support energy-related analyses when needed, without being expected to be the energy market expert
What makes this internship different
This is not a generic energy transition internship. It is a software-builder role inside a deeptech company, with real users, real data, and real production constraints. You get real ownership (your tools can become part of the team's daily operating system), production exposure, AI leverage, high learning density across software, data, AI, energy systems and climate-tech scale-up, close collaboration with operators, and a strong potential path to full-time for exceptional interns.
What success looks like
By the end of the internship, a strong candidate will have built or improved software tools used by the Energy team, turned at least one AI use case into a practical workflow or prototype, shipped work that is documented, maintainable and usable by non-developers, developed a strong understanding of how software and AI support industrial decarbonization operations, and earned the trust to take on larger responsibilities.
Practical details
- Location: Paris
- Team: Energy
- Start date: April to June 2027
- Duration: 6 months, end-of-studies internship
- Language: French and English
- Internship allowance: 1,700 EUR / month
- Benefits: meal vouchers, public transport contribution or Sustainable Mobility Package
Must-have
You are likely a final-year or gap-year student from a top engineering school or quantitative university program (École Polytechnique, Mines Paris, CentraleSupélec, Ponts, or equivalent), with:
- Strong quantitative and analytical skills
- Solid foundations in applied mathematics, physics, engineering, economics, energy systems, or computer science
- Good Python skills, or the ability to become productive quickly
- A structured problem-solving approach
- Strong written and oral communication in French and English
- Genuine interest in energy transition, industrial systems, and climate impact
Nice-to-have
- Experience with electricity markets, optimization, operations research, statistics, or time-series analysis
- Knowledge of power systems, renewables, storage, flexibility, or energy regulation
- Experience with Python data libraries, optimization packages, or simulation tools
- Previous internship in energy, strategy consulting, trading, quantitative research, industrial engineering, or climate tech
- Taste for messy real-world problems where the best answer is not in the textbook
Soft skills
Rigorous without being slow. Autonomous without being isolated. Curious enough to challenge assumptions, pragmatic enough to ship useful work. Comfortable with ambiguity and fast iteration, and excited by a demanding, mission-driven team environment.