Data Scientist Internship
Pigment · Paris · hybrid
EUR 2,000 to 2,000 · period not stated
Your mission:
- 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.
- 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
- 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.