2027 Data for Good Hackathon - Data & AI Program - Summer Internship

Data For Good Hackathon

Join Data for Good, a social impact hackathon hosted by JPMorgan

Chase's Tech for Social Good team, where your analytical and coding skills can make a difference for nonprofit organizations. Discover if a career in financial services technology is your calling, as you unlock your potential with a dynamic team of innovative technologists. Participating in Data for Good may also lead to an opportunity for you to learn more about and be considered for a 2027 Data & AI Program summer internship.

About the Program/Event

Tech for Social Good at JPMorgan

Chase is focused on driving impact in our communities through the skills of our tech workforce. By attending Data for Good, you will collaborate with our expert Data and AI professionals to creatively address real-world challenges faced by nonprofit organizations, fostering innovation and impact. This experience offers you the chance to network with fellow aspiring Data and AI professionals across the country and engage with our recruiting teams, providing insight into data focused roles r two days (Friday – Saturday), you and your team will analyze large, social good data sets and derive insights for a leading nonprofit organization, with travel expenses covered under certain conditions.

As a Summer Analyst in the Data & AI Program at JPMorgan

Chase, you'll drive impact by building end-to-end data, analytics, and artificial intelligence and machine learning solutions that translate business objectives into measurable outcomes for clients and customers. Working alongside global experts in agile teams, you will design scalable data platforms and pipelines, develop production-ready models, create intuitive dashboards, and ensure strong data governance, privacy, and compliance.

Please note, to be considered for internship opportunities, Data for Good participants will be required to participate in the standard hiring process, including additional interview steps. Additional information, including application details, to be provided to Data for Good participants.

We will be filling our classes on a rolling basis. We strongly encourage you to submit your application as early as possible before job postings close.

To be eligible for this program, you must be authorized to work in the U.S. We do not offer any type of employment-based immigration sponsorship for this program. Likewise, JPMorgan

Chase, will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT).

Event Expectations

• 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.
• Work on agile teams alongside peers and experienced data and AI professionals.

Required qualifications, capabilities and skills

• 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.

Preferred qualifications, capabilities and skills

• Demonstrates strong knowledge of machine learning, data science principles, including prompt engineering, with experience handling large, complex datasets.
• Use programming languages such as SQL and Python.
• Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, Data Bricks, LLM).
• Understand data management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance.
• Apply strong quantitative and analytical problem-solving skills to design experiments and deliver measurable outcomes (e.g., key performance indicators, uplift, return on investment).
• Communicate clearly in writing and verbally to translate…