AI & Analytics Intern — Billing Solutions

Spectrum

Maryland Heights (MO)

On-site

USD 10,911,000 - 14,547,000

Full time

14 days+
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Benefits offered by this job

Paid internship
Mentorship
Networking events
Professional development

Job summary

Spectrum is offering a paid, full-time 11-week internship from May 26 to August 6, 2027 for students in IT/CS/Data Science/AI fields. The program combines department projects and intern cohort experiences, including kickoff conferences, mentorship, and networking to build professional skills in a telecommunications context.

You’ll work on AI-enhanced customer processes, analyze business partner operations, and translate requirements into tangible solutions across technology platforms, gaining

Qualifications

  • Must be a rising senior with expected graduation between Dec 2027 and May 2028.
  • Must be enrolled in a accredited college/university pursuing a bachelor’s degree.
  • Minimum 3.0 GPA in current program required.
  • Ability to travel locally to intern events during program.
  • Authorization to work in the U.S. without sponsorship.

Responsibilities

  • Utilize AI to develop processes to improve customer experiences.
  • Assist in analyzing partner operations to identify improvement opportunities.
  • Translate high-level requirements into functional specs for technology platforms.

Skills

Analytical skills
Communication skills
Project management
Time management
Python
Java
C++
Go
ML frameworks
Git
Jupyter
TensorFlow
PyTorch
NumPy
pandas

Education

Bachelor’s degree candidate

Tools

Git
Jupyter
TensorFlow
PyTorch
Keras
scikit-learn

Job description

Spectrum is offering a paid, full-time 11-week internship from May 26 to August 6, 2027 for students in IT/CS/Data Science/AI fields. The program combines department projects and intern cohort experiences, including kickoff conferences, mentorship, and networking to build professional skills in a telecommunications context.

You’ll work on AI-enhanced customer processes, analyze business partner operations, and translate requirements into tangible solutions across technology platforms, gaining

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