Traineeship
Paris
A few days home
2K € a month
Skills we're looking for
Kubernetes
PostgreSQL
CircleCI
LangGraph
Blocks
+3
You'll be part of
750 employees
SaaS / Cloud Services
Average age: 33
Founded in 2019
65%
35%
Founded in 2019, Pigment stands out as one of the fastest-growing SaaS companies globally, redefining business planning and performance with our AI-powered platform. We empower organizations across diverse industries, including Consumer Packaged Goods, Retail, and Technology, to seamlessly integrate data, people, and processes, enabling them to plan and adapt rapidly.
With a vibrant team of over 500 professionals across North America and Europe, and offices in New York, Toronto, London, Paris, and the Bay Area, Pigment has successfully secured nearly $400 million in funding from leading global venture capitalists. Our recognition as a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software underscores our commitment to excellence, as we proudly partner with industry leaders like Unilever, Vinci, Kayak, Siemens, and Coca-Cola.
At Pigment, we champion smart risks, celebrate bold ideas, and challenge the status quo—all as a united team. Every team member has the opportunity to make a significant impact and tackle ambitious challenges. Together, we pursue excellence with a collaborative spirit, continuously raising the bar to ensure strong performance and a proactive approach while fostering an environment of humility.
If you are passionate about innovation and wish to collaborate with some of the brightest minds in the industry, we would love to hear from you!
You'll be working on
Your mission
Our Engineering team
Our Engineering team is responsible for developing our SaaS platform and building a comprehensive and user-friendly product. Pigment engineers participate in the entire application development lifecycle, focusing on design, coding, and keeping the production platform up and running. They can be specialized, but there is no strict separation between infrastructure, backend, and frontend.
We value user-centricity and pragmatism: we choose the most relevant tools for the problem we have to solve, understanding the strengths and constraints of each technology. Our engineering culture also values curiosity, humility, trust, ownership, and team spirit.
👉 Curious to see what we’re building? Check out our Tech Blog!
As a Data Scientist Intern, you will help us push the boundaries of what AI can do inside Pigment, focusing on how our AI Modeler builds and maintains planning models. You’ll work closely with our AI engineering and data science teams to design, test, and evaluate LLM-based systems that turn loosely structured inputs into reliable, working Pigment models and formulas.
Project Overview: Making Pigment’s AI Modeler Smarter
Depending on your profile and interests, you will focus on one of these topics:
1. Formula Writing from Specifications
Have the Modeler write a specification of a formula (what it should do, and the tests it must pass), then build a small Formula Writer model that produces a correct formula from it.
2. Building Models from External Documents
Turn amorphous inputs (long PDFs, call transcripts, existing applications, templates) into structured Pigment applications: write the tests first, then iterate on a DSL representation until they pass.
3. Building Models from Databases
Given an existing database, determine which blocks and transformations to create to make sense of the data and integrate it as a Pigment model.
As an intern, you will:
- Define success criteria, test suites, and evaluation metrics for your topic.
- Design and iterate on LLM-based approaches (prompting, agentic workflows, intermediate representations).
- Benchmark quality, reliability, and cost/latency, and document trade-offs.
- Work with engineers and data scientists to build evaluation pipelines and share findings.
Technical Stack
Our current AI and engineering stack includes:
- Languages & Frameworks: Python, LangGraph
- Data & ML Infrastructure: Weights & Biases, Hugging Face Hub, Google Cloud Platform (GCP), Docker, Kubernetes
- Databases: PostgreSQL
- CI/CD & Experimentation: CircleCI, MLflow, and internal orchestration tools
We don’t expect you to know them all. What matters most is your ability to learn quickly, experiment rigorously, and translate data insights into actionable results.
Work Environment
- Hybrid: possibility to work partially remotely
- Office in the heart of Paris (Paris 9)
- Choose your working environment (hardware / OS)
- A competitive remuneration package
- Opportunity to continue your journey with us after your internship
Technical stack
- Our current AI and engineering stack includes:
- Languages & Frameworks: Python, LangGraph
- Data & ML Infrastructure: Weights & Biases, Hugging Face Hub, Google Cloud Platform (GCP), Docker, Kubernetes
- Databases: PostgreSQL
- CI/CD & Experimentation: CircleCI, MLflow, and internal orchestration tools
- We don’t expect you to know them all. What matters most is your ability to learn quickly, experiment rigorously, and translate data insights into actionable results.
Key figures
In short
Founding year
2019
Employees
750
Average age
33
Gender
35%
65%
