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Enterprise Data Intern

Job in Kansas City, Jackson County, Missouri, 64101, USA
Listing for: American Century Investments
Full Time, Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-10-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 25 - 35 USD Hourly USD 25.00 35.00 HOUR
Job Description & How to Apply Below
About US American Century Investments is a leading global asset manager with over 65 years of experience helping a broad base of clients achieve their financial goals. Our expertise spans global equities and fixed income, multi-asset strategies, ETFs, and private investments.

Privately owned and independent, we focus solely on investment management. But there’s an unexpected side to us, too. We direct 40% of our dividends every year—over $2 billion since 2000—to the Stowers Institute for Medical Research. Our ongoing financial support drives the Institute’s breakthrough work and mission of defeating life-threatening diseases like cancer and Alzheimer’s. So, the better we do for our clients, the more we can do for everyone.

All who work here around the globe are inspired every day by the unique difference our hard work can make in so many lives. It shows in the curiosity we bring to every initiative, the deep relationships we build with our clients, and the way we treat each other in the hallway. If you’re excited toRole Summary Explore Three Unique Data Career Paths:
Data Engineering, Data Analytics, and Data/AIAre you passionate about data, technology, and using information to solve real-world business challenges? Join American Century Investments for a 10-week summer internship and gain hands-on experience working alongside talented IT data professionals who are helping shape the future of our business.

Whether your interests lie in Data Engineering, Analytics, or AI and Machine Learning, you'll have the opportunity to contribute to meaningful projects, learn from experienced mentors, and apply classroom knowledge in a professional environment.

This program is for currently enrolled undergraduate rising seniors who will graduate in December 2027 - Spring 2028. The Final date to receive applications is November 1, 2026.

Location:

this onsite position will be based out of our Kansas City, MO or Southlake (DFW area), TX office.

Program dates:
June 2nd – August 6th (10 weeks).

Work schedule:

40 hours/week - Monday – Friday (8 am – 5 pm).This position is not eligible for visa sponsorship. Applicants must be authorized to work in the U.S. without visa sponsorship, now or in the future.

How You Will Make an Impact As an Enterprise Data Intern , you will:

Partner with experienced data professionals on projects that influence business decision-making.

Explore technologies and platforms used across Data Engineering, Analytics, Cloud Computing, Artificial Intelligence (AI), and Machine Learning (ML).Learn how data is collected, managed, transformed, and leveraged to create value across the organization.

Gain exposure to modern cloud platforms, data pipelines, analytics tools, and AI-driven solutions.

Collaborate with cross-functional teams to identify opportunities, solve problems, and deliver impactful results.

Present project findings and recommendations to leaders and stakeholders.

Our IT organization supports every area of the business, including Investment Management, Sales, Client Services, and Corporate Functions. Through a combination of cloud technologies, custom-built applications, and industry-leading software, we deliver solutions that help people make smarter decisions with data.

What You Bring to the Team (Required)
Currently pursuing a bachelor's degree in Computer Science, Information Technology, Data Analytics, Data Science, Computer Engineering, Management Information Systems, or a related field.

Expected graduation between December 2027 and Spring 2028.Strong analytical and problem-solving skills with attention to detail.

Coursework, academic projects, internship experience, or personal experience in one or more of the following areas:
Python, SQL, Data Analytics, Data Engineering, Data…
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