About the role#
As an AI & Data Co-Op, you will join a team focused on building shared capabilities and scaling AI across the organization. You will work alongside data science professionals to deliver intelligent solutions that improve decision-making and customer experience. This is a full-time, paid position for the Winter 2027 term.
What you'll do#
- Apply statistical analysis, machine learning, and data mining techniques using languages such as Python, SQL, or R.
- Develop and evaluate predictive models with a focus on accuracy and responsible AI practices.
- Support the full data science lifecycle, from data exploration and feature engineering to deployment.
- Help build AI systems for safer, smarter, and personal commerce.
- Develop shared data platforms and lakehouse capabilities to accelerate innovation.
- Improve data discoverability, quality, and lifecycle management.
- Advance AI deployment, monitoring, and operations at enterprise scale.
- Support new AI ideas through a structured intake and prioritization process.
What you'll need#
- Current enrollment in a bachelor’s degree program at Northeastern University.
- Major in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Expected graduation date between December 2027 and June 2028.
- Exposure to statistics, probability, machine learning, and data analysis techniques.
- Experience with data manipulation tools, such as Python libraries like pandas, NumPy, or scikit-learn.
- Familiarity with data visualization and storytelling concepts.
- Strong analytical and problem-solving skills.
- Note: This role is not eligible for employer work authorization sponsorship.
Location & details#
- Location: Purchase, New York.
- Work Modality: Hybrid (must be in the office at least 3 days per week).
- Duration: January 2027 to May 2027.
- Commitment: 35 to 40 hours per week.
About Mastercard
Mastercard operates as a public company in the IT services and consulting sector. It provides technology and infrastructure for digital payments and commerce across more than 200 countries. The firm supports businesses, governments, and individuals with transaction processing and mobile payment solutions. It maintains a global presence with over 52,000 employees.
How to get in at Mastercard
Applying to Mastercard early gives you a distinct advantage because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, helping you get your materials in before the applicant pile grows. Securing a spot in the initial review cycle is often the difference between a screening call and a rejection. You can reach out to the recruiters behind Mastercard roles directly to ask about the position or a referral, which often improves response rates. Intern Insider surfaces these specific contacts for you, allowing you to bypass the generic queue. A direct, professional inquiry shows you have done your homework and are genuinely interested in the firm.
