Data Scientist Intern (Finance)

Job Description

About American Express

American Express is a global company with a diverse community of colleagues committed to supporting their customers, communities, and each other. They believe in empowering their employees to create a career journey that is unique and meaningful to them, providing benefits, programs, and flexibility to support their personal and professional growth.

American Express recognizes and rewards its colleagues for their contributions, leadership, and impact. They strive to uphold their company values and promise of providing the world’s best customer experience every day. They are committed to creating an inclusive environment where everyone feels seen, heard, and like they belong.

Job Description: Data Scientist Intern (Finance)

What you’ll do:

As a Data Scientist Intern at American Express, you will be part of a team that uses data science, analytics techniques, and visualization tools to drive the business forward with smart predictions and actionable insights. You will work closely with a team of high-performing colleagues responsible for developing and implementing in-depth data analytics. Your work will be foundational to understanding the business and driving effective strategies.

Specifically, you will:

• Innovate and develop new ways to track, analyze, and forecast customer behaviors and trends to inform near- and long-term business strategies.
• Develop and enhance machine learning modelling techniques to forecast spend, lend, and other metrics within the team’s purview.
• Develop techniques and tools to influence American Express’s decisions on credit, fraud, and recessionary preparedness.
• Support balance sheet management by focusing on efficient asset-liability management, liquidity risk management, and capital adequacy.
• Play the role of a strategic advisor by guiding on spend trends, converging data through multivariate analyses to parse weak signals and get ahead of inflection points.

This position will be based in New York City.

Qualifications:

• Minimum: Currently enrolled in a full-time graduate degree program in Applied Mathematics, Computer Science, Data Science Engineering, Quantitative Finance, or Statistics with a graduation date between December 2025 and June 2026.
• Preferred:
• Hands-on experience dealing with large quantities of complex data and ability to derive actionable insights from those data.
• Proficiency in SQL and Python or PySpark.
• Machine learning development and experience in applying advanced predictive analytics.
• Experience with Power BI, Tableau, or other visualization tools.
• Proven experience communicating technical concepts to non-technical audiences, bridging the gap between academic outputs and real-world applications.
• Highly motivated and intellectually curious with a passion for working on “whitespace” projects.
• Intuition for striking the right balance between speed and accuracy.
• Ability to break down/implement complex ideas and create structured output from data in an explainable way.
• Strong analytical, organizational, and problem-solving skills with distinguished attention to detail.

Compensation:

• $38.45 to $87.00 hourly + sign-on bonus

Benefits:

American Express offers a comprehensive benefits package that includes:

• Competitive base salaries
• Flexible work arrangements and schedules with hybrid and virtual options through Amex Flex
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through their Healthy Minds program
• Career development and training opportunities

For a full list of Team Amex benefits, visit their Colleague Benefits Site.

Equal Opportunity Employer:

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Amex Flex:

American Express supports its colleagues with the support they need to thrive professionally and personally. Their Amex Flex working model provides greater flexibility to colleagues while ensuring the preservation of their unique in-person culture. Depending on the role and business needs, colleagues can work onsite, in a hybrid model, or fully virtually.