2027 Summer Intern
Spectrum
Maryland Heights, MOFresher5h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree
- Must know
- NetworkingOperationsExcelMicrosoft OfficePythonJava
- Work
- On-site in Maryland Heights · internship
- Pay
- Not stated by the employer.
- Skill demand
- Microsoft Office18%Operations16%Excel6%Networking1%of 146 similar entry-level jobs posted in the US this week
- Listed
- Nov 9, 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
- This is an 11-week paid, full-time internship running from May 26 through August 6, 2027.
- Designed to provide real-world experience and exposure to the telecommunications industry.
- In addition to role-specific projects, the program includes professional development sessions, networking opportunities, mentorship, and experiences for personal and professional growth.
Key Responsibilities
- Utilize AI to develop processes to simplify and enhance the customer experience.
- Assist in analyzing business partner operations to understand opportunities for improvement.
- Translate high-level business requirements into functional specifications to deliver solutions for all technology platforms.
Requirements & Tech Stack
- Must be a rising senior with an expected graduation date between December 2027 and May 2028.
- Currently enrolled in an accredited College or University completing a bachelor’s degree.
- Minimum 3.0 GPA or greater in the current program.
- Ability to travel locally to Spectrum intern development events and activities.
- Authorization to work in the U.S. without restrictions or need for future sponsorship.
Qualifications (Preferred)
- Analytical skills.
- Strong verbal and written communication.
- Project and time management skills.
- Ability to collaborate within teams and self-motivate.
- Proficiency with Microsoft Office applications (Word, Excel, PowerPoint, Access).
- Programming skills in Python, with openness to Java, C++ or Go.
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, NumPy and pandas.
- Working knowledge of version control systems like Git and environments such as Jupyter Notebooks.
- Basic exposure to modern AI concepts including Large Language Models, prompt engineering and data pipelines.
- Ability to troubleshoot code, analyze datasets, and approach challenges methodically.
- Portfolio of personal projects or a GitHub profile demonstrating machine learning models or data analysis scripts.