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The Coca-Cola Company · 13 hours ago

Data Scientist Intern

Atlanta, GA

Internship

Onsite

Intern

$4,506/mo - $4,506/mo

Start in 2026 Spring

The Coca-Cola Company is undergoing a digital transformation within its Technology organization, aiming to connect products with customers through advanced technology. As a Data Scientist Intern, you will leverage data to develop analytics models and drive decision-making across various functional areas while working alongside experienced data science professionals.

Consumer GoodsFast-Moving Consumer GoodsFood and BeverageManufacturing

Comp. & Benefits

No H1B

U.S. Citizen Only

Responsibilities

Collaborate with cross-functional teams to understand business requirements and objectives

Translate business requirements by incorporating data and develop ML and AI algorithms to predict outcomes for various functional areas and use-cases, including Finance, Marketing, Supply Chain (among others) across the Globe

Leverage a diverse set of large structured and unstructured data to derive meaningful insights and information sets for modeling

Visualize and interpret data and create reports and actionable insights

Communicate complex analytical work to a variety of technical and non-technical stakeholders

Partner with Machine Learning Engineers and ML OPS to scale and operationalize ML and AI use-cases

Maintain technical documentation in accordance with the agreed standards

Build and maintain a robust library of data science solutions, reusable templates, algorithms and supporting code

Keep abreast of industry trends and developments in data science and analytics

Qualification

PythonRSQLMachine LearningStatistical TechniquesData VisualizationGitHubEffective CommunicationProblem-SolvingTeam Collaboration

Required

Bachelor's degree in a quantitative field, such as Data Science, Statistics, Computer Science, Economics, Finance, Mathematics or other quantitative discipline

Must be currently pursuing a Bachelor's degree or have graduated from their degree program no earlier than December 2025

Experience gathering, interpreting and translating business requirements

Experience with analytical and programming languages and packages, such as Python, R, and SQL

Able to understand various data structures and common methods in data transformation

Knowledge and experience applying a range of statistical and modeling techniques including hypothesis testing, dimensionality reduction, supervised learning (classification and regression), forecasting, and unsupervised clustering

Strong aptitude for learning and applying new technologies related to Data Science and Data Management

Demonstrated ability to communicate complex analytical concepts and results at multiple levels to both technical and non-technical audiences

Experience with code version control platforms like GitHub, GitLab or Azure DevOps

Preferred

Handles multiple competing priorities in a fast-paced, deadline-driven environment

Strong attention to details and excellent problem-solving skills

Ability to work in a collaborative team environment

Highly innovative, adaptable, and self-directed

Results-oriented with a delivery focus

Presentation skills: Ability to communicate technical topics to business audience

Be able to collaborate across other levels of the organization

Team player who can lead a discussion to defined outcomes

Effective Communication

Pursuing Innovation

Benefits

Innovation & Technology: The ability to work with an award-winning team that is on the cutting edge of innovation.

Exposure to World Class Leaders: Availability to global technology leaders that will expand your network and exposure you to emerging technologies and techniques.

Agile Work Environment: We embrace agile with management that believes in removing barriers, so you are empowered to experiment, iterate and innovate.