Data, Analytics & AI Internship
About The Position
This 11-week program places interns on teams where they'll contribute to meaningful and impactful projects from day one. Throughout the summer, interns also get exposure to ADT as a whole: sessions with different business units, briefings on current company priorities, and time with our executive leadership team, alongside a dedicated professional development track. Depending on team needs and background, interns may be placed in Data Engineering, Data Analytics, Business Intelligence & Reporting, AI & Machine Learning, Analytics Strategy, or Data Science. Placement is based on business needs, skillsets, and academic background. Project work may include building data pipelines, developing dashboards and reporting solutions, analyzing business and customer data, identifying trends and opportunities, supporting AI and machine learning initiatives, and helping teams make data-informed decisions.
Requirements
- Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Business Analytics, Statistics, Mathematics, Information Systems, Artificial Intelligence, or a related field
- Graduating between December 2027 and May 2028
- Completion of at least two upper-level (300/400) courses relevant to the internship discipline
- Cumulative GPA of 3.2 or higher
- Applicants must be authorized to work for any employer in the U.S. We are unable to support or sponsor any U.S. immigration benefit (such as, but not limited to, H-1B, TN, STEM OPT) at this time.
- U.S. Citizenship or Permanent Residency is required, as we do not offer sponsorship.
- Must be available for the entire duration of the internship program, from May 17-July 29, 2027.
Nice To Haves
- Prior internship, co-op, research, or independent project experience, along with the ability to clearly explain their individual contributions, decisions, and lessons learned
- Experience using SQL, Python, R, Tableau, Power BI, or similar analytical tools
- Coursework or projects involving analytics, statistical modeling, machine learning, data visualization, business intelligence, or AI
- Experience turning large datasets into actionable insights and recommendations
- Leadership experience through student organizations, athletics, military service, community involvement, or campus initiatives
- Strong analytical, problem-solving, communication, and collaboration skills
- Interns who thrive in this program ask questions early, take ownership of their work, and look for opportunities to contribute beyond their assigned projects. They're able to explain not only what they accomplished, but how they approached challenges and what they learned along the way.
Responsibilities
- Building data pipelines
- Developing dashboards and reporting solutions
- Analyzing business and customer data
- Identifying trends and opportunities
- Supporting AI and machine learning initiatives
- Helping teams make data-informed decisions
Benefits
- Culture of professional development & training, including access to LinkedIn Learning, collaborative team support, and exposure to meaningful, real-world projects
- Front-line experience and opportunities to learn directly from leaders through our Executive Leadership Team (ELT) Speaker Series
- Commitment to equity and inclusion through ongoing initiatives, employee resource groups, and employee recognition programs
- Volunteer opportunities to give back and make a difference in the communities we serve
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Associate degree
