INTERNSHIP DETAILS

DATA SCIENCE INTERN

CompanyCCAM
LocationDisputanta
Work ModeOn Site
PostedSeptember 14, 2026
Internship Information
Core Responsibilities
The intern will support research programs by developing and modifying scripts for data analysis, modeling, and image processing. They will also be responsible for formal reporting and presenting research results to the team.
Internship Type
full time
Salary Range
$24 - $30
Company Size
68
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
The Commonwealth Center for Advanced Manufacturing (CCAM) is an applied research center that bridges the gap between fundamental research typically performed at universities and product development routinely performed by companies. CCAM accelerates the transition of research innovation from the laboratory to commercial use. CCAM is the only collaboration of its kind in North America and it promises its member companies significant business benefits. By pooling resources to pursue university research authorized by member companies, CCAM increases the value of the R&D dollar. R&D risks and costs are shared by members – away from live production floors – and research results are shared with all members, allowing each company to capitalize on new, breakthrough developments that emerge from CCAM research. For more information, please contact Alicia Durham at ccam@ccam-va.com.
About the Role

Description

DATA SCIENCE INTERN The Data Science Intern will support CCAM’s research programs. Interns will help to ensure that projects are delivered on time, on budget, and with a high standard of quality.
IN THIS POSITION YOU WILL: Improve understanding of the application of data science principles in manufacturing through:

  • Understanding the principles of advanced data analysis and modeling schemes for manufacturing with emphasis on machine learning principles for image processing.
  • Modification of existing scripts to analyze large data sets for modeling and analysis purposes.
  • Development of scripts to pre-process datasets as needed for various modeling and analysis purposes.

Improve critical thinking skills through:

  • Learning new libraries through API documentation and self-experimentation.
  • Exploring literature for ways to improve performance of existing models.

Improve technical communication skills through:

  • Formatting and formal reporting and presentation of results

CCAM is committed to creating a diverse environment and is proud to be an equal opportunity employer. CCAM does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetics, disability, or veteran status

Requirements

CANDIDATE QUALIFICATIONS: The completed coursework section gives an overview of courses across the majors of Electrical Engineering, Computer Engineering, Mathematics, and Computer Science that give conceptual foundation for the internship project work. It is not expected for candidates to have taken all these courses.


* This position requires access to technology or intellectual property that is subject to export control requirements. Candidates must be qualified for such access without an export control license.*


*At a minimum, candidates must have partially (at least two years of academic credit) completed a scientific or engineering degree at an accredited university, rising Junior, Senior, or Graduate student. *


Academic Major OR Area of Focus: Computer Engineering, Computer Science, Engineering Majors Completed


Coursework: Programming 1 & 2, Design of Experiments/Statistics/Statistics for Engineering, Engineering Problem Solving, Technical Writing/Public Speaking Technical/ Programming Skills: Python, C++, C, C#, R, Technical Writing, Proficient in Excel


CCAM's is partnered with our 5 University Members- Virginia State University, Virginia Commonwealth University, Old Dominion University, University of Virginia, & Virginia Tech. We only select candidates from our 5 University Members.


Ability To:

Work independently towards an established goal without continuous oversight or assistance.

Quickly grasp key concepts needed to attack difficult engineering and manufacturing problems.

Maintain a positive, team-first mentality.

Take ownership of projects.


Passion for:

Development and application of scientific principles.

Innovative, creative, technically complicated problem solving.

Working outside of your comfort zone.

Having fun while learning new things!

Key Skills
PythonC++CC#RMachine learningImage processingData analysisModelingTechnical writingExcelStatisticsProblem solvingPublic speaking
Categories
Data & AnalyticsEngineeringScience & ResearchManufacturingTechnology