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$114,400–$214,937.
Based on 240 similar postings.
Employer
About Mastercard
Mastercard is a global technology company in the payments industry, processing transactions between financial institutions and merchants using its extensive network of credit, debit, and prepaid card products. Industry: Payments Technology & Financial Services
Mastercard currently has
115 open roles
on FindRole.
Listed pay typically runs
$115,000–$191,500
across 104 roles with salary data.
AI & Data Co-Op (Northeastern University), Spring 2027 – Purchase, NY, US is a role within the AI and Data team focused on building responsible, scalable solutions to improve decision-making and customer experience. You will join a high-performing team of data science and AI professionals to work on projects involving statistical analysis, machine learning, and data mining. Day-to-day responsibilities include developing and evaluating predictive models for accuracy and explainability while navigating the full lifecycle from feature engineering to deployment. You will utilize Python, SQL, or R, along with libraries like pandas, NumPy, and scikit-learn, to solve challenges such as fraud detection, personalized commerce, and data lifecycle management. The role addresses complex problems regarding data discoverability, quality, and infrastructure for large datasets to provide insights into economic trends and improve overall transaction security.
Apply statistical analysis, machine learning, and data mining techniques using Python, SQL, or R.
Develop and evaluate predictive models with a focus on accuracy and explainability.
Execute the full data science lifecycle including exploration, feature engineering, validation, and deployment.
Build AI systems to support safer, smarter, and more personalized commerce experiences.
Develop shared data platforms and lakehouse capabilities to accelerate innovation.
Improve data discoverability, quality, and lifecycle management across the organization.
Advance AI deployment, monitoring, and operations at an enterprise scale.
What we're looking for
Must be currently enrolled in a bachelor’s degree program at Northeastern University in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Graduation date must be between December 2027 and June 2028.
Must have exposure to statistics, probability, machine learning concepts, and data analysis techniques.
Experience with data manipulation and analysis tools like Python (pandas, NumPy, scikit-learn), SQL, or R is required.
Familiarity with data visualization and storytelling concepts to communicate insights effectively.
Strong analytical and problem-solving skills for exploring datasets and identifying patterns.
Python
SQL
R
Java
Data Engineering
Data Science
Kubernetes
PowerBI
Azure
AKS
Snowflake
Oracle
SQL Server
Database Design
Data Modeling
Data Visualization
Software Development
Python
SQL
R
Java
Data Engineering
Data Science
Kubernetes
PowerBI
Azure
AKS
Snowflake
Oracle
SQL Server
Database Design
Data Modeling
Software Development
Data Visualization
Python
SQL
R
Java
Data Engineering
Data Science
Kubernetes
PowerBI
Azure
AKS
Snowflake
Oracle
SQL Server
Database Design
Data Modeling
Software Development
Data Visualization
Python
SQL
R
Java
Data Engineering
Data Science
Kubernetes
PowerBI
Azure
AKS
Snowflake
Oracle
SQL Server
Data Modeling
Database Design
Software Development
Python
SQL
PL/SQL
Snowflake
GitHub
ETL
ELT
Data Pipelines
AWS
Azure
Google Cloud
Machine Learning
Generative AI
Tableau
Agile
Data Modeling
Data Quality
NLP
Copilot