CPS Data Science Intern

The Coca-Cola Company • Atlanta, GA

1d

About The Position

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.

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.
• 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.
• 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

Nice To Haves

• Understanding of Azure Databricks, cloud-based data systems, or version control tools (GitHub, Azure DevOps) is a plus.

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.

What This Job Offers

• Career Level: Intern
• Number of Employees: 5,001-10,000 employees