INTERNSHIP DETAILS

Computer Science / Data Science Intern

CompanyGrowTech Industries, LLC
LocationGoodyear
Work ModeOn Site
PostedDecember 16, 2025
Internship Information
Core Responsibilities
The intern will support manufacturing analytics, systems integration, and reporting initiatives. Key tasks include developing dashboards, assisting with data extraction and analysis, and automating reporting processes.
Internship Type
full time
Company Size
147
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
GTI Fabrication is a leading U.S.-based contract manufacturer specializing in complex steel enclosures and fully integrated systems for Energy Storage (BESS), Power Generation, Modular LNG, Data Centers, Defense, and Offshore markets. Founded in 2015 in Buffalo, NY, GTI has rapidly expanded with advanced manufacturing facilities in Buffalo, Phoenix, and Monterrey, offering over 1,000,000 sq. ft. of combined production space. Our capabilities span structural steel fabrication, precision welding, powder coating, mechanical and electrical integration, battery integration, and end-of-line testing—all under one roof. We are an ISO 9001:2015 certified manufacturer and one of the only LRQA and ABS-approved ISO shipping container factories in the U.S., ensuring full TAA/BAA compliance for government and defense contracts. At GTI, we believe in long-term partnerships over vendor relationships. Our engineering, manufacturing, and supply chain teams work side-by-side with customers to bring complex products from prototype to mass production—on time, on budget, and at scale. Key Capabilities ✔ U.S. and Mexico-based Manufacturing ✔ BESS Enclosure Fabrication & Integration ✔ ISO Container Customization & Certification (CSC, ABS, LRQA) ✔ Power Gen Packaging & Modular Data Centers ✔ Busbar, Wire Harness, and Battery Module Assembly ✔ Robotic Welding & Automation ✔ Full-Service Engineering & Prototyping ✔ High Volume Manufacturing
About the Role

Computer Science / Data Science Intern – Manufacturing Systems & Analytics

Location: Goodyear, AZ (On-Site)
Schedule: 20–40 hours per week
Employment Type: Internship / Co-Op (Paid)


About GTI Fabrication

GTI Fabrication is investing heavily in manufacturing systems, data visibility, and operational analytics. This role supports the intersection of software, data, and manufacturing operations.


Role Overview

The Computer Science / Data Science Intern will support manufacturing analytics, systems integration, and reporting initiatives. This role works closely with operations, engineering, and business systems teams to turn raw production data into actionable insights.


Key Responsibilities

  • Support development of dashboards and reports for production, quality, and inventory metrics
  • Assist with data extraction, cleaning, and analysis from ERP/MES systems
  • Help automate manual reporting processes using scripts or tools
  • Support basic SQL queries and data modeling efforts
  • Participate in manufacturing systems improvement projects
  • Document system workflows and data definitions
  • Collaborate with engineering and operations teams to understand real-world data needs


Qualifications

  • Currently pursuing a degree in Computer Science, Data Science, Information Systems, or related field
  • Able to work at least 20 hours per week
  • Working knowledge of Python, SQL, or similar programming languages
  • Strong analytical and problem-solving skills
  • Interest in manufacturing systems, analytics, or industrial technology
  • Experience with Power BI, Tableau, or similar tools is a plus


What You’ll Gain

  • Real-world experience applying software and data skills in manufacturing
  • Exposure to ERP, MES, and operational data systems
  • Hands-on analytics projects tied to production outcomes
  • Mentorship from systems and operations leaders
Key Skills
PythonSQLData AnalysisData CleaningData ExtractionDashboard DevelopmentReportingManufacturing SystemsAnalyticsProblem-SolvingData ModelingCollaborationERPMESPower BITableau
Categories
TechnologyData & AnalyticsManufacturingEngineering