Data Scientist Internship
Core
Design, test, and evaluate LLM-based systems to build and maintain planning models that turn loosely structured inputs into reliable Pigment models and formulas.
Role type
Data Science Intern (LLM/Generative AI)
Builds
LLM-based systems for formula writing, model generation from documents, and data integration pipelines
Domain
SaaS / AI / Generative AI
Deliverable
production ML models
Required skills
Python, LLM prompting, agentic workflows, test suite design, evaluation metrics, benchmarking, documentation
Preferred skills
LangGraph, Weights & Biases, Hugging Face Hub, GCP, Docker, Kubernetes, PostgreSQL, CircleCI, MLflow
Technologies
Python, LangGraph, Weights & Biases, Hugging Face Hub, Google Cloud Platform, Docker, Kubernetes, PostgreSQL, CircleCI, MLflow
Responsibilities
Define success criteria, test suites, and evaluation metrics; Design and iterate on LLM-based approaches; Benchmark quality, reliability, and cost/latency; Work with engineers to build evaluation pipelines