Technology Intern – Data Science and Analytics

Northern Trust
Chicago, Illinois, United StatesPosted Sep 1, 2026
Data Science / MLYear-round

About the role

About Northern Trust

As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions.

Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.

With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.

Please note: Each applicant has the opportunity to apply to a maximum of 3 job postings per recruitment season in North America. Please do not create multiple email addresses to apply to additional opportunities. Posting Close Date: October 9, 2026, 11:59pm Central, unless the class is filled before that date. Applications will be reviewed on a rolling basis. We strongly encourage you to submit your application as early as possible as programs will close once positions are filled.

WHO YOU ARE

You are pursuing a bachelor's degree or master’s degree in Data Science, Informatics, Statistics, Econometrics or related major with specialization in Analytics or Data Science at an accredited college/university with an expected graduation date between December 2027 and Summer 2028 Must have experience or curriculum in programming languages such as Python or R, SQL, and or tools like Power BI or Tableau You have a minimum GPA of 3.0 or higher You have good verbal and written communication skills You are curious about financial markets and interested in learning more about the financial services industry You have proven analytical, data interpretation, problem-solving, critical and strategic thinking skills through cour

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