What are the responsibilities and job description for the Summer 2026 - Data and AI Intern position at PPL Corporation?
Why Choose PPL for Your Internship?
At PPL, we believe in investing in the next generation of technology leaders. Our internship program is designed to provide meaningful, hands-on experience in a collaborative and innovative environment. We’re looking for a forward-thinking and creative student to join our team and help shape the future of AI-powered productivity. This role is ideal for someone who is passionate about artificial intelligence, enjoys solving business problems, and is comfortable working with emerging technologies.
Qualifications:Required Qualifications
- Currently pursuing a degree in Business, Computer Information Systems, Human-Computer Interaction, Data Analytics, or a related field
- Minimum 3.00 GPA
- Comfortable working with technology and learning new tools
Preferred Qualifications
- Strong interest in AI, automation, or machine learning,
- Excellent communication and collaboration skills
What You’ll Do
As a Data and AI intern, you will be assigned to teams focused on developing or automating AI solutions to address business challenges. Your responsibilities may include:
- Building and testing AI agents using low-code tools
- Collaborating with business teams to identify real-world problems and define outcomes that AI can help solve.
- Documenting use cases, outcomes, and lessons learned from pilot projects
- Creating prompt libraries and templates for common business scenarios
- Developing dashboards or trackers to monitor Copilot usage and effectiveness
- Supporting Copilot user engagement and training, helping teams learn how to interact with AI tools effectively.
- Participating in strategy meetings and contributing ideas for team projects.
What You’ll Learn
- How to apply AI, automation, and machine learning to solve real business problems
- The fundamentals of prompt engineering as well as exposure to low-code/no-code and DevOps environments
- How to work cross-functionally with business and technical teams
- Best practices for AI adoption, stakeholder engagement, and change enablement
- Exposure to enterprise strategy and innovation in emerging technologies