2026 Data Science Analyst Program - Full-Time Analyst

JPMorgan Chase • Chicago, IL

100d

About The Position

As a Full Time Analyst in the Data & Analytics organization at JPMorgan Chase, you will deliver excellence at the intersection of data science, research, and business domain expertise. You will work on projects focusing on machine learning, business intelligence, data engineering, and visualization, combining your technical skills and understanding of the business context to collaboratively develop end-to-end solutions with commercial, real-world impact on our clients and customers. Our areas of focus include Big Data Analytics, Deep Learning, Reinforcement Learning, Natural Language Processing, Classical Machine Learning, Time Series, Automation, and Interpretability of results in relation to business objectives. JPMorgan Chase & Co. (NYSE: JPM) is a leading financial services firm with operations worldwide. With over 55,000 technologists globally and an annual tech spend of $15 billion, JPMorgan Chase is dedicated to innovating and improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products.

Requirements

• Pursuing a Bachelor's Degree in Science, Technology, Engineering, Mathematics (STEM) or related major with analytically rigorous coursework, including at least one completed course related to quantitative analytics with an expected graduation of December 2025 - August 2026.
• Knowledge of and proficiency in Python and willingness to learn and apply other languages such as SQL during internship.
• Authorization to work permanently in the U.S.

Nice To Haves

• Knowledge of machine learning / data science theory, techniques and tools and experience working with large disparate data sets.
• Experience in mathematics and statistics modelling.
• Awareness of big data technologies (Hive, Hadoop, Spark) and/or computer clusters.
• Awareness of standard analytical tech stacks (Jupyter Notebooks, AWS, Spark, PyTorch, R, etc.).
• Strong communication skills and the ability to present findings in an understandable manner to a non-technical audience.
• Knowledge about applications of statistics, analytical methods, and large language models (LLMs) would be considered a plus.

Responsibilities

• Create innovative solutions that make a difference for our customers, clients, and employees.
• Work on agile teams with peers and experienced data scientists.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree