Data Intern
Job in
Columbus, Franklin County, Ohio, 43224, USA
Listed on 2026-05-31
Listing for:
Cyod
Apprenticeship/Internship
position Listed on 2026-05-31
Job specializations:
-
IT/Tech
AI Engineer, Data Analyst, Data Science Manager, Data Scientist
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.
- 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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