Data Scientist Internship

Pigment is hiring a Data Scientist Internship in Paris, France. Level rates it ; you can apply on Pigment.

Level's read on this job

On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
The posting mentions LangGraph, Hugging Face and MLflow among its tools and skills.
Level classes it as an internship.
Pigment has 128 other open roles on Level.

AI in this role

langgraphhugging-facemlflowweights-and-biases

ai-agents

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.

How we rate this

Data Scientist Internship at Pigment rates 91 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Scientist Internship is an open job at Pigment.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Paris.
The job was posted on October 16, 2025.
Seniority: intern.
Applications are handled by Pigment. Apply on Pigment

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsLangGraphHugging FaceMLflowWeights And Biases

Also common in data scientist jobs at this level

Machine learning SQL Generative AI AWS Spark Deep learning

Pay

Typical data scientist job: $166k

Use the typical data scientist figure as a reference when pay comes up. See data scientist jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through how you've used LangGraph in your day-to-day work.
What are the limits of Hugging Face that you've run into, and how did you work around them?
What's a project where you used MLflow hands-on?
Walk me through how you've used Weights And Biases in your day-to-day work.

Adapt your resume

List these exact terms on your resume: AI agents, LangGraph, Hugging Face, MLflow, and Weights And Biases. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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