Impact Lab: Summer Data & AI Hackathon Internship

JPMorgan Chase; Wilmington (DE); On-site; USD 95,000 - 115,000; Full time

Job summary

JPMorgan Chase invites rising students to join the Data for Good Hackathon as part of the 2027 Summer Internship program. Participants will work on end-to-end data, analytics, and AI projects to support nonprofit organizations, with opportunities to learn from senior leaders and mentors in a fast-paced, agile environment.

The program focuses on building scalable data platforms, governance, and production-ready models, with travel and collaboration across multiple U.S. locations.

Qualifications

• Pursuing a Bachelor’s or Master’s degree in a quantitative or technical discipline (e.g., Data Science, Machine Learning, Computer Science, or Mathematics).
• Graduating between December 2027 and August 2028.
• Authorized to work permanently in the United States.
• No prior work experience required.

Responsibilities

• Own projects end-to-end, ensuring teams and stakeholders are informed about development progress.
• Collaborate and share ideas with our global team of technologists.
• Develop skills through ongoing training, mentorship, and access to senior leaders.
• Share data-driven recommendations and insights that impact our stakeholders.
• Work on agile teams alongside peers and experienced data and AI professionals.

Skills

Data science

Machine learning

Python

SQL

Communication

Education

Bachelor’s or Master’s degree in Data Science/CS/Math

Tools

AWS

Snowflake

DataBricks

LLM

Copilot

Job description

JPMorgan Chase invites rising students to join the Data for Good Hackathon as part of the 2027 Summer Internship program. Participants will work on end-to-end data, analytics, and AI projects to support nonprofit organizations, with opportunities to learn from senior leaders and mentors in a fast-paced, agile environment.

The program focuses on building scalable data platforms, governance, and production-ready models, with travel and collaboration across multiple U.S. locations.