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Data Science Internship (Summer 2026)

Internship
 • 
Located in
Chicago, IL
or

Join Awarity’s Analytics and AI team and use Data Science to directly shape how businesses of all sizes reach their customers. You won’t be shadowing on the sidelines – you’ll work on real projects that advance our mission to democratize advertising and make high-impact awareness campaigns accessible to everyone.

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What You'll Do
  • Work on end-to-end analytics projects that influence live advertising campaigns and product decisions, from exploratory analysis through recommendations.
  • Interpret and analyze data to understand business performance, campaign effectiveness, and external trends, helping us improve outcomes for small businesses and Fortune 500 brands.
  • Apply data science and machine learning techniques (e.g., modeling, experimentation, testing) to uncover patterns and opportunities that directly feed into Awarity’s next generation of AI-driven capabilities.
  • Build clear, actionable dashboards and reports that translate complex data into simple, compelling stories for stakeholders across the company.
  • Partner closely with cross-functional teams – including Product, Engineering, Sales, and Customer Success – to design experiments, measure impact, and iterate on solutions together.
  • Promote best practices in data analysis, documentation, and reporting so insights are reusable and scalable across the organization.

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What We're Looking For
  • On track to earn a Master’s degree in a technical discipline (Data Analytics, Data Science, Statistics, Mathematics, or related).
  • Prior experience (coursework, projects, internships, or research) in business intelligence, analytics, statistics, or a similar field where you’ve turned data into insights.
  • Working knowledge of programming and statistical tools such as Python or R, along with experience writing and optimizing SQL.
  • Strong problem-solving and critical thinking skills, with a curious mindset and comfort asking “why” behind the data.
  • High attention to detail, the ability to prioritize and manage multiple workstreams, and a willingness to own projects from idea to impact.
  • Authorized to work in the US in 2026.
Why Awarity

Be part of the team that’s transforming the advertising industry. Awarity is one of the fastest-growing privately held companies in the nation, serving a rapidly expanding list of small businesses and well-known Fortune 500 brands.

Our mission is to democratize advertising by making it easy, efficient, and affordable for organizations of every size to build targeted awareness – and our Data Science interns are core to delivering on that promise. You will see your work show up in real campaigns, real client outcomes, and real product decisions.

We foster a culture of innovation, collaboration, and inclusivity where every voice is heard. You’ll collaborate across disciplines, learn from experienced teammates, and have direct access to leaders who value experimentation and continuous learning. Whether you are helping design an experiment, refining a machine learning model, or creating a new performance metric, you’ll have an unprecedented opportunity to learn, grow, and shape our mission.

Join the team that’s changing the advertising industry – apply today at www.Awarity.com/Careers.

Data Science Internship (Summer 2026)

Job Application

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It is the policy of Awarity to abide by all applicable state and federal fair employment laws, in all aspects of its operations.  Employment decisions and personnel practices relating to hiring, promotions, transfers, training, job assignments, rates of compensation, benefits, working conditions, discipline, and termination of employment shall not be based on race, color, gender, sex, sexual orientation, gender identity, religion, national origin, age, veteran or family status, or physical or mental handicap or disability (except as such handicap or disability may relate directly to the applicant’s ability to perform a particular job or function to which he or she may aspire and reasonable accommodations to compensate for such handicap or disability cannot be made), or any other status or condition protected by applicable state or federal laws, except where a bona fide occupational qualification applies.  Rather, these decisions and policies will be made and established based on the capability of the employee or the prospective employee to perform the particular job functions and the performance of the employee in the job functions.