PDC Data Science Intern

PDC Data Science Intern University of North Carolina Charlotte United States, North Carolina, Charlotte May 04, 2026 PDC Data Science Intern Please see Special Instructions for more details. Internal applicants only Position Information General Information Position Number STMP15 Working Title PDC Data Science Intern Division Business Affairs Department Facilities Management (Adm) Work Unit FM Architectural/Engineering Work Location Planning, Design, and Construction Department Vacancy Open To UNC Charlotte Employees Only Position Designation Non-Student Temporary Employment Type Temporary - Full-time Hours per week 40 Work Schedule 8am-5pm, Monday through Friday Pay Rate $17/hr Minimum Experience/Education Bachelor's degree with a major in planning, architecture, engineering,graphic design, communications, data science, or a related field. Advanced knowledge of data and analysis software and other pertinent software/systems (Excel, PowerPoint, Google platform, etc.). Effective skills in verbal, written and interpersonal communications. Ability to effectively work/interact with persons from different backgrounds and perspectives. Ability to foster and create an atmosphere of teamwork. Ability to work independently and self-monitor work progress.

Departmental Preferred Experience, Skills, Training/Education:

Bachelor's degree with a major in planning, architecture, engineering,graphic design, communications, data science, or a related field. Advanced knowledge of data and analysis software and other pertinent software/systems (Excel, PowerPoint, Google platform, etc.). Effective skills in verbal, written and interpersonal communications. Ability to effectively work/interact with persons from different backgrounds and perspectives. Ability to foster and create an atmosphere of teamwork. Ability to work independently and self-monitor work progress. Duties and Responsibilities The Data Science Intern is an important member of our department staff and contributes to achieving organizational goals by assisting with a variety of department tasks. In addition, the data science intern will specifically work on various space utilization data projects, signage information projects, or other data projects related to the enterprise of planning, design, and construction. These responsibilities would include but are not limited to: combining department space allocations (building location and square footage) with Facility Management's (FM) financial operations data, modeling future space needs based on the variable of enrollment growth, calculations for recommended existing facility expansions, new facilities, and/or leased space needs, estimated project costs, assisting in conducting space audits of university facilities, input of data into our university facility database system (Archibus) generating reports and presentations regarding campus space usage, verification of facility data, participation in department and/or project meetings, assisting staff in the administration of campus projects/studies, researching subject matter relative to facility planning, design, and construction. Other Work/Responsibilities Other duties as assigned to assist in the successful operations of the Planning, Design,and Construction department. Necessary Licenses or Certifications Proposed Hire Date 05/18/2026 Contact Information Cynthia Stone cstone26@charlotte.edu Expected Length of Assignment Summer 2026 Posting Open Date 05/04/2026 Posting Close Date 05/07/2026 Special Notes to Applicants Internal applicants only Posting Specific Questions Required fields are indicated with an asterisk (•). • How did you hear about this employment opportunity? UNC Charlotte Website HERC Job Board Inside Higher Education Mitratech Circa (formerly known as Local JobNetwork) Another Website Agency Referral Advertisement/Publication Personal Referral Other Where did you learn about this posting? (Open Ended Question) Applicant Documents Required Documents Resume / Curriculum Vitae Cover Letter / Letter of Interest Optional Documents Contact Information for References Other Document