Technology Intern – Digital Analytics- Summer 2026

Description: 
 
Are you ready to spend your summer as part of something special? Imagine working with a Fortune 200 company whose reputation for excellence opens the door to endless opportunities. At Genuine Parts Company (GPC), we offer the chance to work with the best teams on innovative projects in a supportive and dynamic environment. Our employees build long-lasting, rewarding careers and make a real difference in the community. GPC was just awarded one of America’s Greatest Workplaces for Parents & Families by Newsweek. 
 
About the Program: 
 
Our 10-week summer internship program will be held in-person at our Atlanta headquarters, conveniently located near Windy Hill and I-75. The program runs from June to August 2026. As a technology intern, you will help solve complex business problems by leveraging technology and building scalable solutions. Interns can express their preferences for areas of interest and are assigned to teams based on prior experience and interviews. 
 
As digital analytics focused intern, you will work on digital analytics projects that will leverage AI/ GenAI to drive efficiencies and business impact in key areas such driving sales, improving margins, improving customer experience, satisfaction and their overall value to the business. You will work with internal cross-functional teams (Analytics, Ops, Merchandising, Product), to solve business problems and enhance operational efficiency and drive value from our investments in data and AI infrastructure. You will collaborate with cross-functional teams to solve real business problems and drive value from our investments in data and AI infrastructure. Examples of projects include: 

• Predictive Analytics: Build advanced machine learning models to forecast critical business metrics such as churn rate, customer lifetime value, sales trends, and demand forecasting to drive strategic decision-making. 

• Classification Models: Develop AI solutions for categorizing customer behavior, product recommendations, risk assessment, and automated content classification to enhance operational efficiency. 

• Customer Segmentation: Apply unsupervised learning techniques including clustering algorithms and dimensionality reduction to discover non-obvious customer segments and behavioral patterns that can unlock new business opportunities and personalization strategies. 

• GenAI Integration: Implement Large Language Model (LLM) solutions via GenAI APIs to create innovative business applications such as: 

• Conversational BI and automated insights generation 

• Customer feedback analysis and workflow automation 

• Intelligent recommendations and decision support systems 

• Agentic AI solutions to activate insights across marketing, sales, and digital operations teams 

Required Experience and Skills 

• Programming: Proficiency in Python, SQL, with experience in data manipulation, analysis, and model development. 

• Machine Learning: Hands-on experience with ML frameworks (scikit-learn, TensorFlow, PyTorch) and solid understanding of supervised and unsupervised learning algorithms, m