Data & AI - Summer Internship

JOB DESCRIPTION

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. Leveraging modern tools (e.g., AWS, CoPilot, Snowflake, Data Bricks, LLM), you 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 you 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, you will help drive transformation by combining your technical skills, business context, and modern tools to deliver real-world impact for our clients and customers.

You 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. You will receive mentorship, training, and support as you build your career in a culture where we value your ideas and help you grow.

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.

• 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 your growth and impact.
• Learn through mentorship and training while building a strong foundation in data, analytics, and artificial intelligence.

• Pursuing a Bachelor’s or Master’s degree in a quantitative or technical discipline (e.g., Data Science, Machine Learning, Computer Science, or Mathematics).
• Pursuing a bachelor's or master's degree with expected graduation between December 2027 and June 2028.

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

• London
• Glasgow

At JPMorgan

Chase, Data & AI sits at the core of how we operate, innovate, and serve our clients. We harness advanced data,…