2027 Data & AI Program - Summer Internship - Analyst - United States

JPMorgan Chase & Co.•Chicago, IL

14h•$55•Onsite

About The Position

In the Data & AI Program at JPMorgan Chase, interns will 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, they will design scalable data platforms and pipelines, develop production-ready models, create intuitive dashboards, and ensure strong data governance, privacy, and compliance. Leveraging modern tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM), interns will integrate diverse datasets, run experiments tied to key performance indicators, and deliver actionable insights. This program provides hands-on experience, mentorship, and training in a collaborative, innovation-focused environment—positioning interns to contribute to high-impact initiatives across the firm while building a strong foundation in Data & AI. As a Summer Analyst in the Data & AI Program at JPMorgan Chase, interns will help drive transformation by combining their technical skills, business context, and modern tools to deliver real-world impact for our clients and customers. They will collaborate with global experts to develop end-to-end data and AI solutions and contribute to positive change for the diverse communities we serve. Interns will receive mentorship, training, and support as they build their career in a culture where their ideas are valued and they are helped to grow. JPMorgan Chase will be filling classes on a rolling basis and strongly encourages early application.

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

Nice To Haves

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.

Responsibilities

Build intelligent systems that power real business outcomes, from machine learning models to generative artificial intelligence and agent-based solutions.
Work hands-on with cutting-edge technologies to design, develop, and deploy artificial intelligence capabilities that automate processes and enhance decision-making.
Apply data, statistics, and modeling to solve complex problems and generate actionable insights.
Develop predictive models, test hypotheses, and analyze trends to help teams make smarter, data-driven decisions.
Support data governance, risk management, and data standards to help ensure data is secure, trusted, and ready for artificial intelligence use.
Implement controls, improve data quality, and enable frameworks and structures that make solutions safe, scalable, and effective.
Collaborate in agile teams and contribute ideas from day one in a culture that supports growth and impact.
Learn through mentorship and training while building a strong foundation in data, analytics, and artificial intelligence.