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Atlanta, GA

Internship

Onsite

Intern

Genuine Parts Company is a Fortune 200 company known for its commitment to excellence and innovation. They are seeking a Technology Intern focused on Digital Analytics to work on projects leveraging AI to drive business impact and improve operational efficiency.

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Responsibilities

Help solve complex business problems by leveraging technology and building scalable solutions.
Work on Digital Analytics Projects that will leverage AI/GenAI to drive efficiencies and business impact.
Collaborate with internal cross-functional teams to solve business problems and enhance operational efficiency.
Build advanced machine learning models to forecast critical business metrics such as churn rate, customer lifetime value, sales trends, and demand forecasting.
Develop AI solutions for categorizing customer behavior, product recommendations, risk assessment, and automated content classification.
Apply unsupervised learning techniques to discover non-obvious customer segments and behavioral patterns.
Implement Large Language Model (LLM) solutions via GenAI APIs to create innovative business applications.

Qualification

Required

Proficiency in Python, SQL, with experience in data manipulation, analysis, and model development.
Hands-on experience with ML frameworks (scikit-learn, TensorFlow, PyTorch) and solid understanding of supervised and unsupervised learning algorithms, model evaluation, and validation techniques.
Strong foundation in statistical analysis, hypothesis testing, advanced analytics, and experimental design.
Familiarity with GenAI APIs (OpenAI, Anthropic, Google Gemini, or similar platforms)
Understanding of LLM prompting strategies, finetuning techniques, and integration patterns
Basic knowledge of AI agents, agentic workflows, and multi-agent systems
Experience with AI coding assistants (GitHub Copilot, Cursor, Windsurf, or similar tools) and modern development practices.
Rising juniors and seniors (as of summer 2025) enrolled in an undergraduate program with a focus on computer science, digital merchandising, or related technology fields.
Preference will be given to applicants with a GPA of at least 3.6.
Experience in data analysis, customer experience, and digital operations.
Demonstrated passion for learning and applying modern technology tools to create innovative solutions.