Generative AI & NLP Data Science Intern

Intercontinental Exchange Holdings, Inc.; Jacksonville (FL); On-site; USD 25,000 - 30,000; Full time

Job summary

Intercontinental Exchange, Inc. in Jacksonville, Florida is offering an AI Data Science Internship through the ICE Internship Program. You’ll work on developing generative and agentic AI solutions, prototype models, and contribute to real-world business use cases.

The program includes weekly industry-leader sessions, teamwork with interns, and exposure to finance, technology, and mortgage industry applications. This role emphasizes hands-on experimentation, documentation, and agile collaboration.

Qualifications

• Must be currently enrolled in a degree program at an accredited university and advancing toward junior year.
• Pursuing a degree in computer science, data science, AI/ML or related field.
• Familiarity with Python and ML frameworks is a plus.

Responsibilities

• Assist in advancing generative AI and agentic AI solutions through rapid prototyping, model experimentation, fine-tuning, and evaluation
• Support integration of AI solutions with enterprise applications and data platforms
• Support development of applications using LLMs, embeddings, and prompt engineering
• Collaborate on research in NLP, retrieval systems, knowledge graphs, and multi-agent systems with agile workflows
• Perform additional duties and contribute to projects as assigned

Skills

Python

NLP concepts

Git / GitHub

Communication

Willingness to learn

Education

Pursuing CS/Data Science/AI/ML degree

Tools

PyTorch

TensorFlow

FastAPI

Jupyter Notebooks

VS Code

Job description

Intercontinental Exchange, Inc. in Jacksonville, Florida is offering an AI Data Science Internship through the ICE Internship Program. You’ll work on developing generative and agentic AI solutions, prototype models, and contribute to real-world business use cases.

The program includes weekly industry-leader sessions, teamwork with interns, and exposure to finance, technology, and mortgage industry applications. This role emphasizes hands-on experimentation, documentation, and agile collaboration.