Location(s):
United States of America
City/Cities:
Atlanta
Travel Required:
00% - 25%
Relocation Provided:
No
Job Posting End Date:
January 23, 2026
Shift:
Job Description Summary:
Candidates are encouraged to apply to 3 or fewer internship roles during a given internship recruiting cycle.

We're seeking a Data Science Intern to apply analytics, machine learning, and automation to real-world manufacturing challenges. You'll help improve efficiency, optimize inventory, and support sustainability across our global CPS network while gaining hands-on experience and mentorship in a collaborative environment.

Function Related Activities/Key Responsibilities:

• Partner with CPS Data Engineers, Manufacturing, and GDI teams to understand business problems and translate them into analytical solutions.
• Collect, clean, and analyze large datasets from multiple sources (SAP, Azure Data Lake, Power BI, etc.).
• Develop and test machine learning or optimization models to support initiatives such as Kit Optimization, Complexity Analysis, and Inventory Benchmarking.
• Build clear visualizations and dashboards to communicate findings and recommendations to stakeholders.
• Support automation and scaling of analytics workflows in Databricks and Azure environments.
• Document methodologies, datasets, and models to ensure reproducibility and knowledge sharing.
• Present insights and recommendations to the Data Science and Manufacturing leadership teams.

Education Requirements:
Must be currently pursuing a Bachelor's or Master's degree or have graduated from their degree program no earlier than December 2025 in Data Science, Computer Science, Statistics, Industrial Engineering, or a related quantitative field.

Related Work Experience:

• Strong programming skills in Python (pandas, scikit-learn, PySpark) or SQL.
• Experience with data visualization tools such as Power BI, Tableau, or matplotlib.
• Able to understand various data structures and common methods in data transformation.
• Familiarity with machine learning concepts, statistical analysis, and model evaluation techniques.
• Understanding of Azure Databricks, cloud-based data systems, or version control tools (GitHub, Azure DevOps) is a plus.
• Strong analytical mindset, attention to detail, and curiosity to explore data-driven insights.
• Excellent communication skills and ability to work collaboratively in a team environment.

Monthly Salary (undergraduate): $4,506
Monthly Salary (graduate): $6,066
Dates of Internship: May 18 - July 31, 2026
Location: Atlanta, Georgia

Our Purpose and Growth Culture:
We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.