Heading
Harrison, NY
Internship
Onsite
$55/hr - $55/hr
Intern
Mastercard is a global payments technology company that supports secure, simple, smart, and accessible digital payments. The AI & Data Co-Op will work with data science and AI professionals on statistical analysis, machine learning, data mining, predictive modeling, and responsible AI projects across the data science and AI lifecycle.
Apply NowResponsibilities
- Be a member of a high-performing team of data science and AI professionals
- Work on AI projects that include, applying statistical analysis, machine learning, and data mining techniques using languages such as Python, SQL, or R
- Help develop and evaluate predictive models with a focus on accuracy, explainability, and responsible AI practices
- Be exposed to various phases of the data science and AI lifecycle from data exploration and feature engineering through model development, validation, and deployment
- Help solve challenges that cut across products, regions, and customer needs. Examples include: 1. building AI systems that support safer, smarter, and more personal commerce 2. developing shared data platforms and lakehouse capabilities to accelerate innovation 3. improving data discoverability, quality, and lifecycle management 4. advancing AI deployment, monitoring, and operations at enterprise scale 5. supporting new AI ideas through a structured AI intake and prioritization process
- Abide by Mastercard’s security policies and practices
- Ensure the confidentiality and integrity of the information being accessed
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines
Qualification
Required
- Currently enrolled in a bachelor's degree program at Northeastern University in Data Science, Computer Science, Statistics, Mathematics, or a related field with a graduation date between Dec 2027 – June 2028
- Exposure to statistics, probability, machine learning concepts, and data analysis techniques
- Experience working with data manipulation and analysis tools (e.g., Python libraries such as pandas, NumPy, or scikit-learn, or similar tools)
- Familiarity with data visualization and storytelling concepts to communicate insights effectively
- Strong analytical and problem-solving skills, with experience in exploring datasets, identifying patterns, and interpreting results using appropriate tools and techniques
- This role is not eligible for Mastercard's work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. For example, students or recent graduates in the United States on an F1 visa (including those with CPT or OPT authorization) are not eligible for this role
Preferred
Benefits
- 56 hours of Paid Sick and Safe Time
- Jury duty leave
- On-site fitness facilities in some locations
Mastercard is a financial network that processes payments between banks and cardholders.
Founded in 1966
Purchase, New York, USA
10001+ employees
http://www.mastercard.com
5 other Similar Jobs
