Mastercard aims to advance its Decision Intelligence (DI) model, which scores transaction risk, by enhancing machine learning models to adapt to evolving fraud patterns and deliver high-impact insights to protect customers.
Requirements
- Hands-on experience, preferably former internship, in AI and Machine Learning
- Experience with opensource models such as Llama and OpenAI
- Has made contributions to opensource
- Had pursued projects in both school and in their personal time in the AI world
Responsibilities
- Feature engineering — extracting meaningful signals that distinguish fraudulent transactions from genuine ones.
- Model development — enhancing machine learning models to effectively learn and adapt to evolving fraud patterns in transaction data.
- Performance monitoring — running rigorous metrics to ensure model stability and effectiveness in production environments.
- Post-production analysis — investigating patterns missed in real time and developing strategies for new feature discovery.
Other
- Currently enrolled in a bachelor’s degree program majoring in Data Science or a related field with a graduation date of Winter 2026 – Spring 2027
- Proficient in Microsoft Office applications
- Excellent communication skills, ability and willingness to tackle complex problems
- 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.
