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Data Science Intern - Summer 2026, Atlanta

Cox
parental leave, sick time, 401(k)
United States, Georgia, Fairburn
Sep 10, 2025
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.
  • Strong background in Mathematics, Computer Science, or Statistics.
  • Background using Microsoft tools mentioned above.
  • Detail-oriented and able to meet project timelines through good time management and work prioritization.
  • Oral and written communication skills, as well as presentation skills.
  • A positive attitude, determination, and humility.


Don't miss out on the first steps toward your future. Apply today!

Intern/Co-Op sessions are considered temporary employment. No full-time employment commitments are made. However, depending on our business needs, some interns may be considered for a full-time position following the conclusion of the session conditioned upon the intern graduating from their academic program and being available to commence full-time employment at a specified time.

Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.

USD 28.65 - 42.98 per hour

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.

Benefits:

Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page.

Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.
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