Data Scientist Internship

Posted 9 Days Ago
Be an Early Applicant
Paris, Île-de-France, FRA
Hybrid
Internship
Software
The Role
The intern will design, test, and evaluate LLM-based systems that transform specifications, documents, or databases into reliable Pigment planning models and formulas. Responsibilities include defining evaluation criteria, building test suites, developing prompting and agentic workflows, benchmarking quality, reliability, cost, and latency, and creating evaluation pipelines with AI engineers and data scientists.
Summary Generated by Built In

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.

Skills Required

  • Ability to learn quickly
  • Ability to experiment rigorously
  • Ability to translate data insights into actionable results
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Paris
187 Employees
Year Founded: 2019

What We Do

In a world moving at an incredibly fast pace, businesses have grown accustomed to change. Transforming their business model, pivoting their strategy, rethinking their go-to-market, the list goes on. To enable these changes, they have also had to rethink the way they work. Breaking down silos isn’t a best practice anymore. It’s a given. And yet, when it comes to planning, little has changed. In fact, planning tools work the exact opposite way, reinforcing data and people silos, and preventing teams from working together toward their common goals. As a result, planning is usually seen as a dreadful process. But the truth is, planning drives strategy. It’s high time we serve it with the right tools. Pigment is the business planning platform for fast-growing companies. Our mission is to help companies make better, faster decisions in a changing world, and drive revenue growth. At Pigment we believe that: ✅ Real-time data informs better outcomes. Trim your sail, and make the best use of current winds. ✅ Reporting should be accurate, quick, and insightful. ✅ Planning should be simple, smooth, and delightful. ✅ Less time should be spent on data crunching, more time on bringing insights to the business. ✅ Collaboration should be at the heart of any planning process, so your organization works as one. Book your demo today ? https://www.gopigment.com/contact We’re hiring! Check out our offers: https://jobs.lever.co/pigment

Similar Jobs

Shift Technology Logo Shift Technology

Data Scientist

Artificial Intelligence • Information Technology • Insurance • Machine Learning • Software • Automation
In-Office
Paris, Île-de-France, FRA
559 Employees
2K-2K Annually

Shift Technology Logo Shift Technology

Data Scientist

Artificial Intelligence • Information Technology • Insurance • Machine Learning • Software • Automation
In-Office
Paris, Île-de-France, FRA
559 Employees
2K-2K Annually

Pfizer Logo Pfizer

Staff Software Engineer

Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
In-Office
2 Locations
121990 Employees

Mondelēz International Logo Mondelēz International

Juriste (H/F/X) - CDD

Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Hybrid
Boulogne-Billancourt, Hauts-de-Seine, Île-de-France, FRA
90000 Employees

Similar Companies Hiring

Ford Energy Thumbnail
Automotive • Software • Energy • Utilities • Manufacturing • Renewable Energy
Glendale, Kentucky
55 Employees
Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Marina Del Rey, California
70 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
33 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account