Enterprise Data Intern
for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can include "About the role" heading and put the role summary there. The "About Us" could be omitted? It's substantive but not exactly role. Could we include as a paragraph before headings? The instruction: Output ONLY the HTML fragment — no /. It didn't forbid extra paragraphs not under headings. But they said "Prefer a few substantive sections over many thin ones." We could include a
for About Us before headings. That seems okay. We need to include sections only when posting has real specific content. We have: - Role Summary: details about internship, paths, duration, location, schedule, deadline, eligibility. That fits under "About the role". Could also have "Responsibilities" (How You Will Make An Impact). Could have "Requirements" (What You Bring To The Team (Required)). Could have "Qualifications" maybe same as Requirements? But we can combine. "Skills" maybe list of technical skills. "Benefits" (What We Offer). "Pay" (Competitive pay and 401k eligibility). "Schedule" (Work schedule: 40 hours/week - Monday – Friday (8 am – 5 pm)). Also program dates. We must not create sections with filler like "commensurate with experience". We have actual content. We must not repeat job title as heading. No Job ID. We must remove boilerplate: EEO, accommodation, etc. Remove those paragraphs. We must preserve all substantive information; do not invent or summarize away detail. Thus we need to extract: About Us paragraph: "American Century Investments® is a leading global asset manager..." etc. Keep that as a paragraph maybe before sections. Role Summary: "Explore Three Unique Data Career Paths: Data Engineering, Data Analytics, and Data/AI Are 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 deadline to apply 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." We could split some of that into sections: About the role (role summary), Responsibilities (How You Will Make An Impact), Requirements (What You Bring To The Team (Required)), Benefits (What We Offer), Pay (Competitive pay and 401k eligibility), Schedule (Work schedule and program dates). Also maybe Skills (list of technical skills). But we can incorporate skills into Requirements or separate. We must not create thin sections; but we have enough content. Let's plan: -
About Us paragraph.
-About the role
Role summary paragraph (maybe combine first part).
-Responsibilities
- Partner with experienced data professionals on projects that influence business decision-making. ... etc.
Requirements
- 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 Science, Cloud Computing (AWS or Azure), Artificial Intelligence (AI), or Machine Learning (ML).
- Effective verbal and written communication skills.
- Ability to work collaboratively in a team-oriented environment.
- Demonstrated curiosity and enthusiasm for learning new technologies and concepts.
- Demonstrates the American Century Investments Winning Behaviors: Client Focused, Courageous and Accountable, Collaborative, Curious and Adaptable, Competitively Driven.
Skills
maybe list technical skills: Python, SQL, Data Analytics, Data Engineering, Data Science, Cloud Computing (AWS or Azure), Artificial Intelligence (AI), Machine Learning (ML). Could be- .
-
- Competitive pay and 401k eligibility for employee contributions.
- Mentor Program - during your time with us you will be assigned a dedicated mentor to provide career coaching and mentoring.
- Access to our Business Resource Groups (Emerging Professionals, Pride, Mosaic, Green Team, and others.)
- Casual dress code - be comfortable and express your unique self.
- A robust social and philanthropic calendar of events hosted just for Interns!
- 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.
- Currently pursuing a bachelor's degree in Computer Science, Information Technology, Data Analytics, Data Science, Computer Engineering, Management Information Systems, or a related field.
- 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
Benefits
Pay
Competitive pay and 401k eligibility for employee contributions.
(But that duplicates Benefits; maybe we can combine Pay into Benefits? But rule: only create Pay section if posting actually states them. It does state "Competitive pay and 401k eligibility". So we could have Pay section with that sentence. Benefits section could list other benefits. That's okay. -Schedule
Work schedule: 40 hours/week - Monday – Friday (8 am – 5 pm). Program dates: June 2nd – August 6th (10 weeks). Location: this onsite position will be based out of our Kansas City, MO or Southlake (DFW area), TX office.
Also mention deadline? Could be in About the role. We must not include visa sponsorship etc? That is part of role summary; we can keep. We must not include EEO etc. Now ensure we don't repeat content unnecessarily. It's okay if some overlap but try to avoid duplication. Let's craft HTML. We'll start with About Us paragraph. Then About the role: include role summary (maybe first two sentences plus program details). We'll incorporate location, deadline, program dates, work schedule, visa sponsorship? Actually schedule and location maybe better in Schedule section. So About the role could focus on description of internship, paths, opportunity. Let's extract: "Explore Three Unique Data Career Paths: Data Engineering, Data Analytics, and Data/AI Are 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 deadline to apply is November 1, 2026." That seems good for About the role. Responsibilities: list from "How You Will Make An Impact". Requirements: list from "What You Bring To The Team (Required)" plus maybe graduation expectation already used? We used graduation in About the role; we could keep it there only. But Requirements could still include degree field, skills, communication, teamwork, curiosity, winning behaviors. We'll avoid repeating graduation. Skills: list technical areas: Python, SQL, Data Analytics, Data Engineering, Data Science, Cloud Computing (AWS or Azure), Artificial Intelligence (AI), Machine Learning (ML). Could be bullet list. Benefits: list from "What We Offer" excluding competitive pay (we'll put in Pay). So Mentor Program, Business Resource Groups, Casual dress code, social/philanthropic calendar. Pay: "Competitive pay and 401k eligibility for employee contributions." Schedule: Work schedule, program dates, location. Let's ensure we keep all substantive info: Also mention "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." That's important; we should include somewhere, maybe in About the role or Schedule. We'll add a sentence in About the role after deadline. Also mention "Additional Requirements Employees are required to be in the office on a scheduled frequency. Adherence to this schedule is essential to fulfilling the expectations of the role." That's substantive; we could add to Schedule or Requirements. Probably schedule section. Now craft HTML. We'll output:About Us paragraph...
About the role
Explore Three Unique Data Career Paths: Data Engineering, Data Analytics, and Data/AI Are 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 deadline to apply is November 1, 2026. 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.