Data Analyst / Data Scientist Intern

Morgan 6•Tampa, FL

2h•$10 - $20

About The Position

Morgan 6 (M6), a Service-Disabled Veteran-Owned Small Business and SBA-certified HUBZone company headquartered in Charleston, South Carolina, is seeking a motivated and curious Data Analyst / Data Scientist Intern. The intern will apply data analysis, statistical methods, and emerging technologies to practical business and national security challenges while working with M6 data science, intelligence, and technology professionals. The intern will support data-driven research, analytical projects, and operational decision-making. Work includes collecting, cleaning, organizing, and analyzing data; identifying patterns and trends; developing visualizations; and supporting the use of statistical and data science techniques. No previous professional experience is required. The role is intended for a student pursuing a relevant degree who has foundational technical skills and is willing to learn. This is a part-time internship of approximately 10–20 hours per week, with flexibility to accommodate academic schedules and business needs. Compensation is $10.00–$20.00 per hour, depending on qualifications, technical skills, and relevant experience. Work arrangements and project assignments will be determined based on business needs and the selected candidate’s availability.

Requirements

Currently pursuing an undergraduate degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, Information Systems, Engineering, or a related field.
Foundational understanding of data analysis, statistics, or quantitative problem-solving through coursework or academic projects.
Basic proficiency in Microsoft Excel or similar spreadsheet applications.
Interest in learning programming languages and analytical tools such as Python, R, or SQL.
Strong analytical thinking, curiosity, and problem-solving skills.
Good organizational skills and attention to detail.
Ability to communicate findings clearly and work collaboratively.
Willingness to learn new technologies, analytical techniques, and business processes.

Nice To Haves

Exposure to Python, R, SQL, or similar programming languages through coursework or personal projects.
Familiarity with data visualization tools such as Power BI, Tableau, or Python visualization libraries.
Coursework involving statistics, data mining, machine learning, or database management.
Experience working with datasets in academic projects, research, or extracurricular activities.
Interest in artificial intelligence, predictive analytics, automation, or national security applications.
Familiarity with Jupyter Notebook, pandas, or Git.

Responsibilities

Assist with collecting, organizing, cleaning, and validating structured and unstructured data.
Support data preparation by identifying missing information, inconsistencies, and duplicate records.
Organize datasets for analysis, reporting, and research, and learn data quality and documentation practices.
Analyze datasets to identify trends, patterns, and relationships, applying foundational statistical concepts to analytical projects.
Explore data using spreadsheets, programming languages, and analytical tools.
Support research related to business operations, technology, intelligence, and national security applications.
Help interpret analytical results and communicate findings to team members.
Support development of dashboards, charts, graphs, and other visualizations.
Assist with analytical reports, presentations, research summaries, recurring reports, and performance metrics.
Assist with testing and evaluating analytical methods or models under the guidance of experienced professionals.
Support exploratory research involving automation, artificial intelligence, and emerging data technologies.
Document analytical processes, methodologies, and project findings.
Work with data scientists, analysts, and other technical professionals on assigned projects.
Assist with research and analysis supporting M6 business operations and government customer initiatives, as authorized.
Participate in team meetings, project discussions, and learning opportunities, and support additional data-related assignments based on interests, skills, and project needs.