Energy Team Intern
Listed on 2026-09-22
-
Software Development
Python, AI Engineer (Applied/Software), Software Engineer
One-line pitch
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 EpyrEpyr 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.
Founded by experienced entrepreneurs and energy/climate leaders, Epyr operates at the intersection of:
Energy markets — spot, intraday, flexibility, grid services
Industrial systems — high-temperature processes, reliability constraints, deployment at scale
Software & quantitative modeling — optimization, simulation, pricing, dispatch algorithms
Climate impact — direct contribution to European industrial decarbonization
We are building for people who want to solve real-world physics, economics, and systems problems.
Role: AI & Software Development Intern — Energy Team Why this internship mattersThe Energy team relies on software to run real analyses, support operational decisions, and make the team faster every week.
As an intern, 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 doDepending on your profile and the team’s priorities, your work may include:
Build and improve internal software tools used by the Energy team in day-to-day work
Contribute to AI-powered workflows, assistants, automations, or 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, and 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”
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 will get:
Real ownership — your tools can become part of the team’s daily operating system
Production exposure — work beyond toy prototypes, with reliability, deployment, and maintainability in mind
AI leverage — identify and build practical AI use cases that save time and improve decision quality
High learning density — software, data, AI, energy systems, and climate-tech scale-up
Close collaboration with operators — direct feedback from the Energy team and other internal users
A strong potential path to full-time — for exceptional interns, the internship can convert into a permanent role
You are likely a final-year student or gap-year student from a top engineering school or quantitative university program, such as École Polytechnique, Mines Paris, Centrale Supélec, Ponts,
You have:
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,…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).