Intern Program - Agentic AI

Our Vision:
We make dreams possible. Yes, we’re a student loan servicer. We’re also a technology company, idea incubator, start-up accelerator, and K-12 and higher education expert. At Nelnet, we’re so much more than what you think—and we’re just getting started. So, no matter what you want to do in life—build codes or build brands—we’re the best place to do it. Join Nelnet as an intern and do real work that matters to our business.

• one-on-one mentorship
• competitive pay
• casual dress
• flexible schedule
• intern-specific programming
• meaningful work experience

Nelnet’s AI Cohort Internship Program is a hands‑on experience that offers interns a unique opportunity to work on AI‑focused projects across multiple business units within Nelnet. This program is designed to foster a culture of innovation, enhance team AI capabilities, and meet evolving resource needs.

• Collaborate with Teams:
  Work closely with various business units to identify AI-driven opportunities for improved efficiency and productivity.
• Research & Database Management:
  Assist in building a research database for tracking AI projects and participate in knowledge-sharing initiatives across the organization.
• Project Support & Training:
  Conduct meetings with various teams to understand project requirements, deliver AI training sessions, and participate in hands‑on support for ongoing initiatives.
• Documentation & Knowledge Transfer:
  Document all project steps, results, challenges, and recommendations for continued progress within teams.
• Final Presentation:
  Present findings, achievements, and key takeaways to Nelnet leadership and team members at the end of the internship.

• Pursuing a degree in Computer Science, Data Science, Engineering, Business, Visual Media Arts, or a related field.

• Previous Internship/Project Experience (Preferred):
  Experience in AI‑related internships, research projects, or personal AI/technology initiatives is a plus, but not required.
• Experience with data analysis, programming, or AI tool development is beneficial.

• Familiarity with programming languages such as Python, R, or Java.
• Experience with AI/ML frameworks, data visualization tools, or database management platforms is highly desirable.

• Ability to approach complex problems with a structured, analytical mindset and deliver data-driven solutions.
• Experience using critical thinking to solve challenges is valued.

• Experience in working in a team setting, collaborating on projects, and effectively communicating ideas to both technical and non-technical team members.

• Experience in documenting processes, results, and creating clear reports or presentations to convey findings and recommendations is a plus.

• AI and Data Analysis Knowledge:
  Strong understanding of artificial intelligence concepts, machine learning models, and data analytics techniques.
• Familiarity with AI tools, algorithms, and frameworks is an advantage.
• Agentic AI Workflows:
  Comfortable with exploring how business processes can transform into Agentic AI workflows, and how AI Agents can lead, pair, and hand‑off tasks in a multi‑agentic environment. The ability to question what components are required—how data is organized, ethical and security concerns—will prove beneficial to understanding Agentic conversations.
• Programming & Technical Proficiency:
  Proficient in programming languages such as Python, R, or Java.
• Experience with data manipulation and analysis libraries (e.g., Pandas, Num Py) and machine learning frameworks (e.g., Tensor Flow, PyTorch) is beneficial.
• Problem-Solving & Critical Thinking:
  Ability to break down complex problems into manageable tasks and apply logical reasoning to develop innovative solutions. A strong aptitude for troubleshooting and refining AI models or systems.
• Data Interpretation & Decision-Making:
  Ability to interpret large datasets and AI-generated insights to inform business decisions. Comfortable leveraging AI tools to analyze data and translate findings into actionable recommendations.
• Communication
  
  Skills:
  
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