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Technology Intern – Digital Analytics- Summer 2026
Technology Intern – Digital Analytics- Summer 2026Genuine Parts Company • Atlanta, Georgia, USA
Technology Intern – Digital Analytics- Summer 2026

Technology Intern – Digital Analytics- Summer 2026

Genuine Parts Company • Atlanta, Georgia, USA
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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 Americas Greatest Workplaces for Parents & Families by Newsweek.

About the Program :

Our 1 0 -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 202 6 . 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 experien ce 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 model evaluation and validation techniques.

Statistics & Data Science : Strong foundation in statistical analysis hypothesis testing advanced analytics and experimental design.

AI Technologies :

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

Development Tools : Experience with AI coding assistants (GitHub Copilot Cursor Windsurf or similar tools) and modern development practices.

Nice to Have

Knowledge of digital analytics platforms (Google Analytics Adobe Analytics)

Experience with cloud platforms (AWS Azure GCP) and their AI / ML services

Exposure to MLOps practices model deployment and production ML systems

Understanding of data engineering concepts and ETL processes

The projects will be challenging and to help our interns be successful we are seeking top talent which includes :

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.

What our interns can expect :

Gain valuable experience and advance your skills while working for an iconic Atlanta-based Fortune 200 company.

Network with highly respected Technology leaders (our CIDO and Technology VPs meet regularly with the interns and attend presentations) . These connections can prove invaluable in the job market.

We have a highly collaborative work environment and teammates participating in the intern program are onsite fulltime Monday through Friday.

We include some fun company-sponsored events like attending a Braves game to help make the summer fun .

Explore GPCs rich history through field trips to various locations including distribution centers and retail operations.

Earn bragging rights prizes and opportunities to showcase your tech skills and learn more about a career in technology.

Not the right fit Let us know youre interested in a future opportunity by joining our Talent Community on or create an account to set up email alerts as new job postings become available that meet your interest!

GPC conducts its business without regard to sex race creed color religion marital status national origin citizenship status age pregnancy sexual orientation gender identity or expression genetic information disability military status status as a veteran or any other protected characteristic. GPCs policy is to recruit hire train promote assign transfer and terminate employees based on their own ability achievement experience and conduct and other legitimate business reasons.

Required Experience :

Intern

Key Skills

Microsoft Office,Public Relations,Google Docs,Data Collection,MailChimp,Microsoft Word,Dermal Fillers,Microsoft Powerpoint,Research Experience,Microsoft Excel,Adobe Photoshop,Writing Skills

Employment Type : Full-Time

Experience : years

Vacancy : 1

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