Data Science Intern - Summer 2026, Atlanta

Company

Cox Enterprises

Job Family Group

Business Operations

Job Profile

Intern - Premium

Management Level

Individual Contributor

Flexible Work Option

Hybrid - Ability to work remotely part of the week

Travel %

Yes, 5% of the time

Work Shift

Day

Compensation

Hourly base pay rate is $28.65 - $42.98/hour. The hourly base rate may vary within the anticipated range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include commission (annual, monthly, etc.) and/or an incentive program.

Job Description

We encourage candidates to apply to no more than three internship opportunities within a 90-day period. Our recruiting team will review your application and ensure you are considered for the opportunities that best align with your skills and interests. 

There’s something really inspiring about the idea of innovators teaming up to build something incredible. If you agree, then you might be a perfect fit for a tech job at Cox! 

Across the Cox family of businesses (Cox Enterprises, Cox Communications and Cox Automotive), we’re looking for Data Science Interns to join our team and learn from the best. Ready to collaborate with us and work at a great company that truly cares about you and your future? Keep reading! 

What’s In It For You?     

• We value your time and potential. At Cox, you’ll be exposed to meaningful and challenging work.  

• You won’t be left alone to figure things out. You’ll have a team of supporters (plus an assigned program mentor) who will show you the ropes, guide you to excellence and cheer you on. 

• You’ll experience real accountability to develop your professional skills.   

•  You’ll expand your network and professional toolbox through exposure to senior leaders.  

• You’ll help us build a bold future that is sustainable, accessible and inclusive. 

 

What You’ll Do: 

• Learn how to extract, transform, and load (ETL) the data for analysis. 

• Learn how to perform data cleansing and exploratory data analysis. 

• Learn how to work with different data sources to be able to produce the requested analysis. 

• Learn how to analyze machine learning results. 

• Learn how to measure the effectiveness of marketing initiatives using optimized contact strategies for marketing activities. 

• Produce reports summarizing your findings. 

• Able to forecast marketing activities. 

 

Preferred: 

• STEM majors are encouraged to apply, with preference to Math, Stat, Computer Science, and Engineering majors. 

• Intermediate to advanced analytical skills. 

• Ability to conduct thorough research and use the findings to inform decision-making. 

• Python, PySpark, SQL or other coding and visualization skills are highly preferred. 

• Hadoop and cloud computing. 

• Strong analytic skills.