INTERNSHIP DETAILS

Intern - Roaming & Interconnect

CompanyLiberty Latin America Communications, Inc.
LocationUnited States
Work ModeOn Site
PostedApril 29, 2026
Internship Information
Core Responsibilities
The intern will build automated data pipelines for roaming datasets using Python and design the architecture for a natural language interface. They will also collaborate with the data science team to ensure data consistency and document all technical workflows.
Internship Type
unavailable
Company Size
6467
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Liberty Latin America (NASDAQ: LILA and LILAK, OTC Link: LILAB) is a leading telecommunications company operating in over 20 countries across Latin America and the Caribbean under the consumer brands Flow, Liberty Communications, Más Móvil, BTC and Liberty Costa Rica. The communications and entertainment services that we offer to our residential and business customers in the region increasingly include “triple-play” and “quad-play” combinations of bundled services comprised of digital video, broadband internet, telephony and mobile services. Our business products and services include enterprise-grade connectivity, data center, hosting and managed solutions, as well as information technology solutions with customers ranging from small and medium enterprises to international companies and governmental agencies. In addition, Liberty Latin America operates a sub-sea and terrestrial fiber optic cable network that connects approximately 40 markets in the region. For more information, please visit www.lla.com.
About the Role

The Intern will contribute to TravelSense, an AI-powered roaming customer intelligence project. Over a 2-month engagement, the intern will work entirely in Python to explore, validate, and build automated data pipelines from structured roaming datasets, and design the architecture of the natural language interface that will later be integrated into AWS by the project mentor.

  • Explore and validate the structured roaming dataset to ensure data quality and consistency
  • Build automated data ingestion and processing pipeline scripts in Python
  • Design and document the natural language interface architecture for future AWS integration
  • Collaborate daily with the Data Science intern to align data outputs with model requirements
  • Document all scripts, workflows, and technical decisions to ensure a clean handoff.
  • Currently pursuing a degree in Computer Science, Software Engineering, or a related field
  • Proficient in Python and JavaScript
  • Advanced knowledge of prompt engineering
  • Good communication skills and ability to present technical work to non-technical audiences.
 
Key Skills
PythonJavaScriptPrompt EngineeringData PipelinesData AnalysisData QualitySoftware ArchitectureCommunicationTechnical DocumentationData Science
Categories
TechnologyData & AnalyticsSoftwareEngineering