Data Science & Analytics Tech Intern

Northern Trust; Chicago (IL); On-site; USD 45,000 - 52,000; Full time

Job summary

Northern Trust offers a Technology internship in Chicago, focusing on data science and analytics. You will join engineering and technology teams, contribute to real projects, and participate in events to develop new skills and network with leaders.

The program spans ten weeks, with opportunities for mentorship, professional development, and exposure to enterprise-wide initiatives. You will gain hands-on experience transforming data into insights while learning about data governance and AI-driven

Qualifications

• Pursuing a bachelor’s or master’s in Data Science, Informatics, Statistics, Econometrics or related with an expected graduation between Dec 2027 and Summer 2028.
• Experience or coursework in Python or R, SQL, and tools like Power BI or Tableau.
• Minimum GPA of 3.0 or higher.
• Good verbal and written communication skills.
• Curious about financial markets and willing to learn more about financial services.

Responsibilities

• Interns will work with teams on day-to-day tasks and participate in internship program events to develop new skills.
• Gain hands-on experience transforming data to actionable insights across data pipelines and dashboards.
• Contribute to real-world projects using modern technologies and develop a foundation in data architecture and governance.

Skills

Python

R

SQL

Communication

Team leadership

Education

Bachelor's or Master's in Data Science/Analytics/related

Tools

Power BI

Tableau

Job description

Northern Trust offers a Technology internship in Chicago, focusing on data science and analytics. You will join engineering and technology teams, contribute to real projects, and participate in events to develop new skills and network with leaders.

The program spans ten weeks, with opportunities for mentorship, professional development, and exposure to enterprise-wide initiatives. You will gain hands-on experience transforming data into insights while learning about data governance and AI-driven