Energy Team Intern

Epyr; Paris; Hybrid; EUR 12,000 - 17,000; Full time

Benefits offered by this job

Meal vouchers

Public transport contribution

Sustainable Mobility Package

Job summary

Epyr is seeking an AI & Software Development Intern for the Energy Team in Paris to build AI-powered software and production tools for decarbonization. You will work on real production systems, create practical AI workflows, and collaborate closely with operators to deliver tangible impact.

The role emphasizes ownership, production exposure, and a fast learning environment, with a potential path to full-time for exceptional interns.

Qualifications

• Strong quantitative and analytical skills.
• Solid foundations in mathematics, physics, engineering, economics, energy systems, or computer science.
• Good Python skills, or ability to become productive quickly.

Responsibilities

• Develop and improve internal tools used by the Energy team.
• Identify AI use cases to automate analyses and accelerate workflows.
• Work with production data and real-world constraints to deliver reliable software.

Skills

Python

Quantitative skills

Analytical thinking

French & English communication

Education

Engineering degree or quantitative program (in progress)

Tools

Python data libraries

Optimization packages

Simulation tools

Job description

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.

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 matters? The 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 do

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

Profile we are looking for

Must-have

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, CentraleSupélec, Ponts, etc. 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, 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

We value people who are:

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

Excited by a demanding, mission-driven team environment

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 can support industrial decarbonization operations

Earned the trust to take on larger responsibilities — potentially as a full-time team member

Location: Paris

Team: Energy

Start date: April to June 2027

Duration: 6 months, end-of-studies internship

Language: French and English

Benefits: Meal vouchers, public transport contribution or Sustainable Mobility Package