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

JPMorganChase is hosting the Data for Good Hackathon, where participants can utilize their analytical and coding skills to benefit nonprofit organizations. The role involves collaborating with Data and AI professionals to address real-world challenges and may lead to a summer internship opportunity.

What you'll do:

• 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

What they're looking for:

• 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
• 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, DataBricks, 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 technical work for business stakeholders and collaborate across agile, cross-functional teams
• Translate business objectives into testable hypotheses and analytical plans, develops models and experiments, and communicates actionable recommendations to stakeholders

Benefits:

• Travel expenses covered under certain conditions
• Ongoing training
• Mentorship
• Access to senior leaders
• Reasonable accommodations for applicants with disabilities