# Senior AI Scientist at Pigment

Pigment is hiring a Senior AI Scientist. Level rates it Builds AI ●●●●; you can [apply on Pigment](https://jobsbylevel.com/go/0c872ef3-71a5-41d9-a1b6-2b3451b710e3?utm_medium=ai-agent).

AI Level 4, AI centrality 92 out of 100. France.

## Details

- Company: [Pigment](https://jobsbylevel.com/companies/pigment)
- AI level: AI Level 4 (score 92 out of 100)
- Location: France
- Posted: April 12, 2024
- Apply: https://jobsbylevel.com/go/0c872ef3-71a5-41d9-a1b6-2b3451b710e3?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-ai-scientist-at-pigment-8d3f06

## Prepare for this job

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## Description

Join Pigment: The AI Platform Redefining Business Planning Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive platform, with AI agents that work alongside every team, from Finance to HR, to build, adapt, and align strategic plans in real time. Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally, passing $100M in ARR in 2026 and doubling revenue for the second year in a row. Industry leaders like Unilever, Uber, Anthropic, Snowflake, and Siemens use Pigment every day to make better-informed decisions and navigate any scenario with confidence. In October 2026, we raised a $250M Series E at a $2.3B valuation, bringing our total funding to $650M+. Today we’re a growing team of 700+ across Paris, London, New York, Toronto, San Francisco, and Austin, and we’ve been named a Visionary in the Gartner® Magic Quadrant™ for Financial Planning Software two years running. At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo - all while working as one team. If you’re driven by innovation and ready to make an impact at scale, we’d love to hear from you. Pigment is seeking an experienced AI Scientist with a strong CS background and experience with GenAI and Agentic Architectures to join our innovative and fast-paced team. In this role, you will work on AI projects and play a crucial part in developing and refining our product. If you are passionate about machine learning, have a background generative AI and natural language processing, and thrive in a collaborative and high-impact environment, we'd love to hear from you! What you will do : - Work on AI features built on top of the Pigment computation engine that provides determinism, auditability and data visualizations - Work on AI features with an ambitious product vision, that are actively used, have a real world impact and are built to last - Programming on a production python codebase. Our Scientists are encouraged to contribute to production features to ensure they can follow their experiments from ideation to production - Conduct experiments and benchmarking to assess the performance of various models and architectures - Continuously research and stay up-to-date with recent advancements in agentic architecture, NLP and large language models, applying novel techniques and methodologies to improve our features. 🎧 Listen to our podcast on Pigment’s GenAI team 📖 Read more about our vision: Agentic AI for Data Analysis Requirements MS or Ph.D. in Computer Science, Mathematics, or a related field Strong programming skills in Python, and relevant ML and GenAI libraries (e.g., langchain, langgraph, TensorFlow, PyTorch, scikit-learn) Hands-on experience evaluating pre-trained models, and fine tuning or training models Experience in the recent developments of Agentic Architecture Excellent problem-solving skills and ability to work independently Ability to communicate complex mathematical and AI concepts clearly and effectively across research, engineering, and product audiences If you are passionate about Generative AI and want to work on a cutting-edge business planning platform, we encourage you to apply for this exciting opportunity at Pigment. Experience building and shipping complex products on top of LLMs Experience with LLM or deep-learning–based tabular data understanding, including methods for interpreting complex spreadsheets, schema inference or table representation learning (e.g., TAPAS, TaBERT, TURL, and more generally Omniparser-like approaches) Knowledge of state-of-the-art deep learning forecasting models (e.g., TimesFM, Chronos, TOTO, or any other recent foundation models for time series prediction) #LI-HYBRID #LI-LS1 What you will get Competitive package Stock options to ensure you have a stake in Pigment's growth The best health insurance with Alan Blue entirely free for you and your family Weekly Lunch

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