Summer 2026 – IT Customer Experience – Student Internship

Job Description

Summer 2026 – IT Customer Experience – Student Internship

Company: Tampa Electric Company (TECO Energy)

Location: Midtown East Tower, 3600 Midtown Dr., Tampa, FL 33607

Shift: 8 Hr. X 5 Days (Full-time)

Hiring Manager: Dilip R Tadisina

Recruiter: Mark E Koener

Program Overview

The TECO Energy Internship & Cooperative Education Program provides college degree-seeking students with an invaluable opportunity for professional growth while addressing the company’s business needs. This program extends the educational process by offering practical experience to complement formal classroom learning. It recruits students from various colleges, giving them exposure to a professional environment directly related to their field of study.

Position Summary

Tampa Electric Company is seeking a highly motivated Computer Science student for a Summer 2026 Internship. This role is dedicated to supporting the company’s AI-driven customer experience initiatives, specifically focusing on enhancing the contact center’s migration to AWS Connect. The intern will play a key role in leveraging AI, automation, and data-driven insights to improve operational efficiency and customer satisfaction.

This internship offers hands-on experience in:

• Cloud technologies (specifically AWS)
• Machine learning applications
• Customer service optimization
• Contributing to innovative solutions

Accountabilities & Key Responsibilities

The intern will be responsible for a range of tasks designed to support and enhance TECO’s customer experience initiatives, including:

1. Support AI-Powered Contact Center Enhancements

• Assist in testing and troubleshooting AI-driven features within AWS Connect, such as chatbots and voice agents.
• Collaborate with the team to explore and propose ways AI can improve customer interactions and engagement.

2. Assist in Data Analysis & Reporting

• Help collect and analyze call center data to identify emerging trends, patterns, and valuable insights.
• Support the creation of basic reports and dashboards utilizing AWS analytical tools to visualize performance metrics.

3. Participate in System Testing & Quality Assurance

• Assist in user testing of new and existing AWS Connect features, providing constructive feedback on performance and usability.
• Help document identified issues, bugs, and proposed improvements to ensure better system stability and functionality.

4. Contribute to Process Automation

• Work on small-scale automation tasks aimed at streamlining workflows using various AWS services.
• Assist in optimizing call routing strategies and enhancing self-service options within the contact center.

5. Research & Innovation Support

• Explore emerging AI and cloud technologies that are relevant to and could benefit the contact center environment.
• Prepare and present findings on potential improvements and innovative solutions to enhance the overall customer experience.

Working Conditions

• Physical Location: 3600 Midtown Dr., Tampa FL 33607
• Environment: Mostly in a normal office environment.
• Preferred Availability: Part-Time (30 – 40 hours) – Note: “8 Hr. X 5 Days” typically implies full-time, 40 hours. This phrasing might indicate flexibility within the 30-40 hour range.

Qualifications

Education

• Must be enrolled in an accredited university as a college undergraduate or a graduate-level post-secondary educational program in a related discipline.
• Required Degree: Engineering (specifically Computer Science, as indicated in the summary).
• Year in School: Junior, Senior, or Graduate Student.

Co-Op Requirements

• To qualify as a co-op student, enrollment in the university’s co-op program is required (proof of enrollment needed).
• If not eligible for a co-op program (or if the program is unavailable), the student will be considered an intern.
• A minimum GPA of 3.0 on a 4.0 scale is required.

Knowledge, Skills, And Abilities

• Basic understanding of cloud computing concepts (AWS experience is a significant plus).
• Familiarity with programming languages such as Python, JavaScript, or similar.
• Demonstrated interest in AI, automation, and customer experience technologies.
• Strong analytical and problem-solving skills with meticulous attention to detail.
• Ability to work collaboratively within a team environment and effectively communicate technical ideas.
• Eagerness to learn and explore new technologies related to AI and contact center solutions.

Emera Leadership Competencies

Candidates are expected to embody the following leadership competencies:

• Builds Strong, Collaborative Relationships
• Cultivates Innovation and Embraces Change
• Develops People and Teams
• Drives Operational Excellence for Customers
• Speaks Up on Safety, Health, and the Environment
• Takes Ownership & Acts with Integrity
• Thinks Strategically & Exercises Sound Judgement

TECO Energy is proud to be an Equal Opportunity Employer.