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

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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.

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