Morgan 6 (M6) is a Service-Disabled Veteran-Owned Small Business (SDVOSB) and SBA-certified HUBZone company headquartered in Charleston, South Carolina. We deliver expert talent with high-demand, low-density skill sets to support critical U.S. Government missions in areas such as special operations, intelligence, cybersecurity, agile development, and IT support.
Most importantly, we are — and we support — Warriors First.
M6 Core Values – HEROIC- Honor – Act with integrity and truthfulness.
- Excellence – Strive for quality in all we do.
- Resourcefulness – Innovate and embrace change.
- One Team – Stand together and treat each other with respect.
- Iron Sharpens Iron – Encourage personal and professional growth.
- Castle Defense – Protect the resources entrusted to us.
Position Summary
Morgan 6 (M6) is seeking a motivated, curious, and analytically minded Data Analyst / Data Scientist Intern interested in applying data analysis, statistical methods, and emerging technologies to real-world business and national security challenges.
This internship provides students with hands-on experience working alongside M6's data science, intelligence, and technology professionals to support data-driven research, analytical projects, and operational decision-making. The intern will assist with collecting, cleaning, organizing, and analyzing data, exploring patterns and trends, developing visualizations, and supporting the application of statistical and data science techniques to practical problems. The ideal candidate is currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, Information Systems, or a related field and enjoys solving problems, working with data, and learning new technologies.
No previous professional experience is required. We are looking for students with strong analytical curiosity, foundational technical skills, and a willingness to learn and contribute to meaningful projects.
Key Responsibilities
Data Collection & Preparation
- Assist with collecting, organizing, cleaning, and validating structured and unstructured data.
- Support data preparation activities, including identifying missing information, inconsistencies, and duplicate records.
- Help organize datasets for analysis, reporting, and research.
- Learn and apply data quality and documentation practices.
Data Analysis & Statistical Research