Intercontinental Exchange Holdings, Inc.

Compensation

Full Description

Overview Job Purpose 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. 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 Data Science Analyst Intern will support ICE Data Services by applying machine learning models to real-world data challenges. Responsibilities Contribute individually and as a team member to support functional areas, analyze business processes, and achieve goals assigned by an experienced manager Engage with business partners and contribute to projects that drive significant value Perform additional duties and contribute to projects as assigned Knowledge and Experience Must be currently enrolled in a degree program at an accredited university and be at least advancing to their senior year of study Proficiency in Python, with foundational knowledge in statistics and machine learning required Demonstrates strong written and oral communication skills Effective computer skills, including solid working knowledge of Microsoft Office Internship Program Schedule To accommodate varying academic calendars, the ICE Internship Program offers two schedule options: Option 1: May 18, 2026 – August 7, 2026 Option 2: June 8, 2026 – August 21, 2026 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 New York (Midtown) office for the entire duration of one of the designated program schedules. Partial participation or alternate dates cannot be accommodated. Hourly Pay Rate for New York Candidates The expected hourly rate for this role is $35 per hour. #LI-SH2