Data for Good Hackathon: Summer Data & AI Internship

JPMorgan Chase; Plano (TX); On-site; USD 95,000 - 115,000; Full time

Benefits offered by this job

Travel expenses covered

Networking with senior leaders

Job summary

JPMorganChase invites you to join Data for Good hackathon, hosted by its Tech for Social Good team, to showcase analytics and coding talents for nonprofit impact. This program can lead to consideration for the 2027 Data & AI Program summer internship.

As a Summer Analyst in the Data & AI Program, you will build end-to-end data, analytics, and ML solutions, design scalable pipelines, and collaborate with global experts in agile teams while ensuring data governance and compliance.

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.
• Meeting the role requirement that no prior work experience is needed.

Responsibilities

• Own projects end-to-end, ensuring teams and stakeholders are informed about development progress.
• Collaborate and share ideas, information, and innovation 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.

Skills

Data Science

Machine Learning

Python

SQL

Big Data

Data Visualization

Analytical Thinking

Education

Bachelor’s or Master’s degree in a quantitative/technical discipline

Tools

AWS

Snowflake

DataBricks

Copilot

LLM

Job description

JPMorganChase invites you to join Data for Good hackathon, hosted by its Tech for Social Good team, to showcase analytics and coding talents for nonprofit impact. This program can lead to consideration for the 2027 Data & AI Program summer internship.

As a Summer Analyst in the Data & AI Program, you will build end-to-end data, analytics, and ML solutions, design scalable pipelines, and collaborate with global experts in agile teams while ensuring data governance and compliance.