Summer Internship Program 2027 - Agentic AI Data Science Intern
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Before you apply
LocationOFF USA: FL Jacksonville (4800 Deer Lake Drive), United States
Work modeon-site
Typefull-time
SeniorityEntry
DepartmentData Science
Company size10,000+ people
First seenOct 30, 2026 · 1w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Must be currently enrolled in a degree program at an accredited university
Be at least advancing to their junior year of study
Pursuing a degree in computer science, data science, AI/ML, or a related field
Familiarity with Python
Exposure to NLP/NLU concepts, small language models, vector databases, and retrieval systems such as GraphRAG
Interest in agentic AI and multi-agent systems, including Model Context Protocol (MCP), agent-to-agent (A2A) communication, ontologies, and knowledge graphs
Comfortable using Git/GitHub and development environments like Jupyter Notebooks or VS Code
Strong communication skills and a willingness to learn and experiment
Exposure to tools like PyTorch, TensorFlow, or FastAPI is a plus
Must be available to work full-time, five days a week, at our Jacksonville office for the entire duration of one of the designated program schedules
Skills
Python
PyTorch
TensorFlow
FastAPI
NLP
NLU
GraphRAG
Git
GitHub
Jupyter Notebooks
VS Code
About the role
The ICE Internship Program offers a dynamic opportunity to combine hands-on, impactful work on projects that shape our business, alongside practical career and professional development. You’ll build meaningful connections, strengthen your interpersonal skills, and contribute in ways that truly make a difference.
Benefits
Beyond your day-to-day responsibilities, you’ll participate in weekly sessions led by industry leaders, connect with fellow interns, and deepen your understanding of the financial services, technology, and mortgage industries.
The Agentic AI Data Science Intern will contribute to the development of generative and agentic AI solutions by supporting model experimentation, integration, and research across real-world business use cases.
Responsibilities
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Assist in advancing generative AI and agentic AI solutions through rapid prototyping, model experimentation, fine-tuning, and evaluation
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Support integration of AI solutions with enterprise applications and data platforms
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Support the development of applications using LLMs, embeddings, and prompt engineering
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Collaborate on research and experimentation in areas such as NLP, retrieval systems, knowledge graphs, and multi-agent systems, while documenting findings and participating in agile workflows
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Perform additional duties and contribute to projects as assigned
Knowledge and experience
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Must be currently enrolled in a degree program at an accredited university, be at least advancing to their junior year of study, and pursuing a degree in computer science, data science, AI/ML, or a related field
•
Familiarity with Python; exposure to tools like PyTorch, TensorFlow, or FastAPI is a plus
•
Exposure to NLP/NLU concepts, small language models, vector databases, and retrieval systems such as GraphRAG
•
Interest in agentic AI and multi-agent systems, including Model Context Protocol (MCP), agent-to-agent (A2A) communication, ontologies, and knowledge graphs
•
Comfortable using Git/GitHub and development environments like Jupyter Notebooks or VS Code, with strong communication skills and a willingness to learn and experiment
Internship program schedule
To accommodate varying academic calendars, the ICE Internship Program offers two schedule options:
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Option 1: May 24, 2027 – August 6, 2027
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Option 2: June 7, 2027 – August 20, 2027
Hiring process
Candidates will be asked to select their preferred session during the application process.
Please Note: Interns must be available to work full-time, five days a week, at our Jacksonville office for the entire duration of one of the designated program schedules. Partial participation or alternate dates cannot be accommodated.
Legal
Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.
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