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Data Intern

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: Cyod
Apprenticeship/Internship position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Science Manager, Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Internship opportunity for students pursuing a degree in Computer Science, Data Science, Information Technology, or a related field, focused on Microsoft Cloud, AI, and Data technologies.

Qualifications
  • Currently enrolled in an accredited undergraduate program in Computer Science, Data Science, IT, or related field.
  • Anticipated graduation date of December
    2026 or May
    2027.
  • Full internship duration available from June1 to August7,2026.
  • Self‑motivated, eager to learn, and detail‑oriented.
  • Proactive learner with curiosity for new technologies.
  • Strong problem‑solving and structured solution‑building skills.
  • Strong team player capable of collaborating independently.
  • Works a hybrid schedule at Charlotte office and home.
  • Can work in a confined area and sit at a computer terminal for extended periods.
  • Can handle confidential documents discreetly.
  • Technical: core programming concepts and SQL.
  • Familiarity with Microsoft Copilot and AI‑assisted productivity tools.
  • Experience or coursework in the Power Platform.
  • Knowledge of Azure AI Fundamentals concepts.
  • Proficient with Git version control.
  • Microsoft Office Suite and basic coding tools.
Responsibilities
  • Support client‑facing and internal projects utilizing Microsoft Cloud, AI, and Data technologies.
  • Explore and build AI solutions using Microsoft Copilot and prompt‑engineering best practices.
  • Design and automate workflows with the Power Platform (Power Apps, Power Automate, Power

    BI).
  • Write and optimize SQL queries and basic programming scripts for data analysis and integration tasks.
  • Apply Azure AI Fundamentals knowledge to develop proof‑of‑concept solutions.
  • Collaborate on code and manage project files using Git version control.
  • Participate in structured problem‑solving sessions to address technical challenges.
  • Engage in proactive learning to stay current with emerging AI and data technologies.
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