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

JPMorganChase · Chicago, IL · 2 mo ago
On-siteEducationFull-time

About the Event

Join Data for Good, a social impact hackathon hosted by JPMorganChase's Tech for Social Good team, where your analytical and coding skills can make a difference for nonprofit organizations. This event offers the opportunity to explore a career in financial services technology while collaborating with a dynamic team of innovative technologists. Participation may also lead to consideration for a 2027 Data & AI Program summer internship.

Tech for Social Good at JPMorganChase drives impact in communities by leveraging the skills of our tech workforce. At Data for Good, you will collaborate with expert Data and AI professionals to address real-world challenges faced by nonprofit organizations. This experience includes networking with aspiring Data and AI professionals nationwide and engaging with recruiting teams to gain insights into data-focused roles at JPMorganChase.

Over two days (Friday – Saturday), you and your team will analyze large social good datasets and derive insights for a leading nonprofit organization. Travel expenses may be covered under certain conditions.

Note: To be considered for internship opportunities, Data for Good participants must complete the standard hiring process, including additional interview steps. Details will be provided to participants.

Event Details

  • Location: JPMorganChase's Brooklyn Office
  • Event Date: Friday, October 16th – Saturday, October 17th
  • Applications Close: Friday, 12:00am Eastern Time, October 16th

The hackathon will be held in Brooklyn, New York. Locations for the Data & AI Program summer internship (if accepted) may include Chicago, IL; Columbus, OH; Plano, TX; New York Metro; or Delaware Metro.

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

Requirements

  • 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 is required.

This position is subject to Section 19 of the Federal Deposit Insurance Act. An employment offer is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.

Preferred Skills

  • Strong knowledge of machine learning and data science principles, including prompt engineering, with experience handling large, complex datasets.
  • Proficiency in programming languages such as SQL and Python.
  • Experience with data and artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM).
  • Understanding of data management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance.
  • Strong quantitative and analytical problem-solving skills to design experiments and deliver measurable outcomes (e.g., key performance indicators, uplift, return on investment).
  • Ability to communicate clearly in writing and verbally to translate technical work for business stakeholders and collaborate across agile, cross-functional teams.
  • Experience translating business objectives into testable hypotheses and analytical plans, developing models and experiments, and communicating actionable recommendations.

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