ADT is looking to advance its data maturity, insights generation, and AI/ML evolution by engineering new data objects and/or pipelines, improving data quality, and developing ML models and AI-driven systems to support key business decisions.
Requirements
- Basic SQL and Python skills
- Interest in machine learning concepts and applications
- Ability to translate data into insights
- Ability to communicate technical concepts to a non-technical audience
- Exposure to cloud platforms (AWS, GCP, or Azure)
- Ability to showcase past projects solving real-world problems
Responsibilities
- Engineer new data objects and/or pipelines
- Share responsibility for data object remediation and QA
- Contribute to descriptive analytics and root-cause analysis
- Help evaluate and create ML models and AI-driven systems
- Design and build scalable data pipelines and ETL processes to support business needs
- Improve data quality through validation, remediation, and analysis to identify trends and root causes
- Translate technical findings into actionable business insights
Other
- Strong communicator with a collaborative mindset, eager to learn and able to integrate seamlessly into highly collaborative teams
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field with a graduation date between December 2026-August 2027
- 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 18-July 30, 2026.
- Housing allowance and relocation assistance are not offered for Internship roles.
