Data Scientist Intern

The Coca-Cola Company • Atlanta, GA

5d

About The Position

The Coca-Cola Company’s Technology organization is in the midst of a digital transformation that allows our employees to use world class technology to connect our products to our customers all over the world. This journey is a very exciting time for Coca-Cola and our employees are big contributors to our Success and Growth. Our large scale and complex environment offers an incredible opportunity to address challenges, enable innovative solutions to make a difference for our customers. As a Data Scientist Consultant, you will embark on a journey of leveraging vast amounts of data to transform it into actionable insights. You will aid in the development of analytics models and work under the guidance of seasoned data science professionals to drive decision-making and strategy across the organization. This is an exciting opportunity to grow in your career in data science and analytics within a supportive and innovative environment.

Requirements

• 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.
• 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

Nice To Haves

• Practical experience with as many of the following as possible:

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.

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.

What This Job Offers

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