Intern, Data & AI

**Role Overview** As a Summer Intern in Data and AI, you will collaborate with a diverse team of data engineers, and analysts to develop impactful solutions. This is a hands-on role where you’ll contribute to real-world projects, gaining experience in data processing, machine learning, and AI deployment. **Internship Details:** * **General:**Full-time, Monday – Friday, onsite paid internship * **Pay:** $20/hour * **Dates:** June through July 31, 2026 (or possibly longer, if available) * **Location:** Corporate headquarters, Gainesville, GA (Onsite Required) **Responsibilities** * **Data Analysis \& Preparation:** * + Collect, clean, and preprocess structured and unstructured data for analysis and modeling. * **Model Development:** * + Assist in building and optimizing machine learning models to solve specific business problems. * **Visualization \& Reporting:** * + Create dashboards and reports to communicate insights to stakeholders. * **Experimentation \& Research:** * + Explore and experiment with emerging AI technologies and frameworks to identify potential use cases. * **Collaboration:** * + Work closely with cross-functional teams to define project goals and deliverables. **Skills \& Qualifications** * **Required:** * + Currently pursuing a degree in Computer Science, Data Science, Statistics, Mathematics, or related field. + Familiarity with Python and other programming languages. + Understanding of machine learning concepts and tools + Strong analytical and problem-solving skills. * **Preferred:** * + Experience with data visualization tools (Power BI). + Knowledge of SQL and cloud platforms (Azure). + Previous project experience in AI or data analysis is a plus. + Agentic AI knowledge a plus. **What We Offer** * Mentorship from seasoned Data and AI professionals. * Opportunity to work on impactful, high-visibility projects. * A supportive and innovative work culture. * Potential for future opportunities. *All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.*