Energy Team Intern

Nabla; Paris (TX); On-site; USD 20,000 - 24,000; Full time

Benefits offered by this job

Meal vouchers

Public transport contribution

Job summary

Epyr is seeking an AI & Software Development Intern for the Energy team in Paris. You will build and improve internal tools connected to real production systems and live operational needs, and explore AI use cases to accelerate workflows.

You will work on Python services, data pipelines, dashboards, and APIs, with exposure to real constraints like reliability, deployment, and maintainability. The internship lasts six months with competitive compensation.

Qualifications

• Strong quantitative and analytical skills.
• Solid foundations in mathematics, physics, engineering, economics, energy systems, or computer science.
• Good Python skills, or the ability to become productive quickly.
• Structured problem solving and clear communication in French and English.

Responsibilities

• Build and improve internal software tools for the Energy team.
• Contribute to AI-powered workflows, assistants, or analysis tools.
• Work on Python-based services, data pipelines, dashboards, and internal apps.
• Ensure reliability, usability, and maintainability of tools.

Skills

Quantitative skills

Python

Analytical thinking

Education

Top engineering school background

Tools

Optimization packages

Data pipelines

Job description

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 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

Depending 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”

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 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,

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

Soft skills

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

Practical details

• Location: Paris
• Team: Energy
• Start date: Flexible / to be defined
• Duration: 6 months, ideally end-of-studies internship
• Language: French and English
• Internship allowance: €1,700 / month
• Benefits: Meal vouchers, public transport contribution or Sustainable Mobility Package