Data Scientist Intern, Summer 2025

Mastercard powers economies and empowers people in over 200 countries and territories worldwide. The company is dedicated to building a sustainable economy where everyone can prosper, supporting a wide range of digital payment choices that make transactions secure, simple, smart, and accessible.

The Mastercard Internship Program offers penultimate year students an immersive experience to challenge the status quo, gain real work-life skills in a global company, foster decency and belonging, and promote personal and professional development. Interns are invited to bring their passion, share their talent, and make the most of this truly priceless experience.

Location: Dubai, United Arab Emirates (Hybrid)
Work Conditions: Full-time, available to work between 26th May/2nd June 2025 to 9th August or late June to late August 2025.

Role Description:

• Conduct analyses on the effectiveness of product offerings by examining the real-world impacts of customer use.
• Gain subject matter knowledge on cybersecurity best practices and common types of fraud.
• Advise technical teams and participate in educational initiatives.
• Handle large datasets, identify patterns and trends, and translate insights into technical solutions and educational materials.
• Collaborate with marketing and product teams to translate analysis into promotional materials.
• Partner with various teams to combine multiple sources of data in insightful ways.

Requirements:

• Must be a penultimate year undergraduate or master's student, graduating no earlier than 2026.
• Enrollment in a bachelor's or master's degree program in computer science or a related field, preferably focused on data (mathematics, statistics, or economics).
• Strong problem-solving skills and ability to synthesize input from diverse sources.
• Comfortable working with varying data sets and generating descriptive statistics.
• Bonus: Knowledge of and experience with machine learning models.
• Familiarity with at least one of the following tools: Tableau, SQL, Python, AWS, Hadoop.
• Excellent communication skills for teamwork and presentations.