Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
AI & Data Co-Op (Northeastern University), Spring 2027 – Purchase, NY, US
What team will I join?
At Mastercard, our AI and Data teams set direction, build shared capabilities, and work side-by-side with cross-functional teams to scale AI and data responsibly across the organization.
This team focuses on insight, accuracy, scalability, and impact, and are driven to deliver intelligent solutions that improve decision-making and customer experience. We are driven by building simple, responsible, and intelligent solutions that instill trust in every interaction. The AI & Data team at Mastercard build models that analyze large datasets, detect fraud, personalize customer experiences, and generate insights into the direction of the economy on behalf of our customers.
Location: Mastercard Purchase, NY. Must be able to be in office 3+ days a week.
Duration: January 2027 to May 2027, 35-40 hours per week
Hourly Rate: $55/hr
What will I do?
As an AI & Data Co-op, you will:
- 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
What skills and experiences are we looking for?
- 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.
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
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.
In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.
