JPMorgan Chase
2027 Data & AI Program - Full Time - Analyst - United States
$95K–$115K
New York, NY +7 · Full-time · Posted Aug 27, 2026
- Location
- New York, NY
Chicago, IL
Columbus, OH
Wilmington, DE
Plano, TX
Jersey City, NJ
Palo Alto, CA
Newark, DE - Experience
- No prior work experience is required.
- Education
- Pursuing a Bachelor’s or Master’s degree in a quantitative or technical discipline (e.g., AI & Machine Learning, Computer Science, Data Science, Mathematics or Statistics).
- Visa sponsorship
- Must be authorized to work in the U.S. permanently. No employment-based immigration sponsorship or assistance with other immigration sponsorship or benefits, including OPT or CPT.
About the job
Build and deploy data, analytics, machine learning, and AI solutions that address business needs and produce measurable outcomes.
What you'll do
- Develop and deploy machine learning, generative AI, and agent-based systems to automate processes and support decision-making.
- Use data, statistics, and modeling to test hypotheses, analyze trends, and deliver actionable insights.
- Support data governance, risk management, controls, and data quality to make solutions secure and scalable.
What they ask for
- Pursuing a Bachelor’s or Master’s degree in a quantitative or technical discipline.
- Graduating between December 2026 and August 2027.
- Authorized to work permanently in the United States.
Nice to have
- Knowledge of machine learning and data science, including prompt engineering, and experience handling large, complex datasets.
- Programming with SQL and Python; familiarity with data and AI tools such as AWS, CoPilot, Snowflake, DataBricks, and LLM.
Pay
USD 110,000.00-$115,000.00 base salary (New York,NY); USD 95,000.00-$95,000.00 base salary (Chicago,IL); USD 110,000.00-$115,000.00 base salary (Jersey City,NJ); USD 110,000.00-$115,000.00 base salary (Palo Alto,CA)
Tools
AWS, CoPilot, Snowflake, DataBricks, LLM, SQL, Python
AI focus
Build and deploy machine learning, generative AI, and agent-based solutions; use AI to automate processes and enhance decision-making, with attention to governance and safe, scalable use.
Model-written summary · the original posting is authoritative