2026 Data Science Analyst Program - Full-Time Analyst

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.

Whether you're working on projects that focus on machine learning, business intelligence, data engineering, and/or visualization, you will have the opportunity to combine 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.

Under the J.P.

Morgan and Chase brands, the Firm serves millions of customers in the U.S., and many of the world's most prominent corporate, institutional and government clients globally.

Visit http://www.jpmorganchase.com/tech for more information.

Job responsibilities


* Create innovative solutions that make a difference for our customers, clients, and employees.


* Work on agile teams with peers and experienced data scientists

Required qualifications, capabilities, and skills


* 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

Preferred qualifications, capabilities, and skills



* 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


* Clearly explain tho...