Intern - Data Science (Summer 2027) at Commerce Bank · Kansas…

Intern - Data Science (Summer 2027)
Location: MO - Kansas City Downtown/Plaza - Kansas City - KC Downtown Trust Building (922 Walnut) (64106)
About Working at Commerce
Building a career here is more than just steps on a ladder. It’s about helping people find financial safety and success, helping businesses thrive, and making sure people and their money are taken care of. And our commitment doesn’t stop there. Our culture is about our people, the ones in our communities and the ones that work with us.
Here, you’ll find opportunities to grow and learn, to connect with others, and build relationships with the people around you. You’ll have the space and resources to grow into the best version of yourself. Because our number one investment is you.
Creating an award-winning culture doesn't come easy. And after 160 years, we know Commerce Bank is only at its best when our people are. If this sounds interesting to you, keep reading and let’s talk.

Compensation Range
Hourly: $22.00 - $22.00 (Amount based on relevant experience, skills, and competencies.)
About This Job

This intern will gain invaluable experience as a data scientist working with best-in-class data scientists in the banking business. Duties of this position include the development of statistical analysis, queries, prediction and presentation of consumer behavior, profitability and campaigns using experimental design. The intern also assists with other special projects within the Data Analytics team.

The summer internship session will begin on Tuesday, May 18, 2027, and will run for 11 weeks, ending on Friday, July 30, 2027. Internships are paid, full-time opportunities with a Monday through Friday work schedule.

Essential Functions
Write efficient data queries to varied types of products and customer analysis.
Analyze, update, and compile customer behavior and profitability analysis reports.
Compile data analysis and reporting for data scientists.
Compile campaign analysis for marketing campaigns.
Present data analysis summary results to team members and business line leadership.
Perform other duties as assigned.

Work Schedule
Monday-Friday, 8:00am-5:00pm

Knowledge, Skills & Abilities Required
Motivated to learn and apply data science concepts in real-world use cases
Motivated and organized self-starter with strong attention to detail and the ability to manage multiple priorities
Inquisitive, agile, and strong team player with excellent written, verbal, and interpersonal communication skills
Ability to remain adaptable and resilient to all situations with an optimistic outlook and cast a positive shadow that is aligned with our culture and Core Values
Basic level proficiency with Microsoft Word, Excel, and Outlook

Education & Experience
Prefer a sophomore/junior with a Data Analytics, Mathematics, Statistics, or related major. PC Skills include Microsoft Office with proficiency in Excel. R, Python, SAS, SPSS, or similar computer programming is preferred.

*Hybrid Schedule: In office 2 days per week
***For individuals applying, assigned and/or hired to work in areas with pay transparency requirements, Commerce is required by law to include a reasonable estimate of the compensation range for some roles.  This compensation range is for the Intern job. The disclosed range estimate has not been adjusted for any applicable differentials (geographic, bilingual, or shift) that could be associated with the position or where it is filled. A reasonable estimate of the current base pay is $22.00 per hour.

#LI-MC1

#LI-Hybrid

Must be eligible to work in the US without sponsorship now or in the future.

The candidate selected for this position may be eligible for the following employment benefits: employer sponsored health, dental, and vision insurance, 401(k), life insurance, paid vacation, and paid personal time. In addition, we offer career development, education assistance, and voluntary supplemental benefits.  Click here to learn more.
Location: 922 WALNUT, KANSAS CITY, Missouri 64106
Time Type:
Full time