Summer Internship Program 2027 - Data Science Intern
New York, New York
- Pay
$35/hour — pay source
Hourly Pay Rate for New York Candidates The expected hourly rate for this role is $35 per hour. Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingUse AI tools to research, prototype, and validate quantitative models for financial data products
Analyze structured and alternative datasets to uncover relationships with financial markets
Apply statistical and machine learning techniques to model market behavior and pricing
Meet with business partners and contribute to projects that drive significant value
Perform additional duties and contribute to projects as assigned
From the employer’s posting
Use AI tools to research, prototype, and validate quantitative models for financial data products
Analyze structured and alternative datasets to uncover relationships with financial markets
Apply statistical and machine learning techniques to model market behavior and pricing
Meet with business partners and contribute to projects that drive significant value
Perform additional duties and contribute to projects as assigned
What you’ll bring
All qualificationsCore experience
- Currently enrolled in an accredited university degree program, advancing to junior year at least
- Deep knowledge of Python
- Deep knowledge of SQL
- Interest in financial markets, with a drive to learn more about them
- Experience with AI tools such as Claude, Codex, or Copilot, with an interest in learning more
Qualification wording
Must be currently enrolled in a degree program at an accredited university and be at least advancing to their junior year of study
Deep knowledge of Python with SQL
Interest in financial markets, with a drive to learn more about them
Experience with AI tools such as Claude, Codex, or Copilot, with an interest in learning more
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- Experience with AI tools such as Claude, Codex, or Copilot, with an interest in learning more - Deep knowledge of Python with SQL Internship Program Schedule
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 24, 2026 · 6 days ago
- Recorded sightings
- 33
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on careers-ice.icims.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
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 Intern will support the team’s use of AI tools to research and develop quantitative models and explore new data sources that provide insight into financial markets.
Responsibilities
- Engage with the team to learn about all the tools and data sources
- Meet with business partners and contribute to projects that drive significant value
- Use AI tools to research, prototype, and validate quantitative models for financial data products
- Analyze structured and alternative datasets to uncover relationships with financial markets
- Apply statistical and machine learning techniques to model market behavior and pricing
- 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 junior year of study
- Interest in financial markets, with a drive to learn more about them
- Experience with AI tools such as Claude, Codex, or Copilot, with an interest in learning more
- Deep knowledge of Python with SQL
Internship Program Schedule
To accommodate varying academic calendars, the ICE Internship Program offers two schedule options:
- Option 1: May 24, 2027 – August 6, 2027
- Option 2: June 7, 2027 – August 20, 2027
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 (11 Wall Street) 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.
Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Hourly Pay Rate for New York Candidates The expected hourly rate for this role is $35 per hour. Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.
- Location & working pattern
New York, New York
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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