Campus Graduate - 2025 Data Science Finance Summer Internship New York, NY

Key Skills

Analytical and Problem solving, Data Visualization, PowerBI, PySpark, Python Programming, SQL, Tableau

Job Description

Work Location Options:Hybrid

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Business Unit / Role Specific Info

At American Express, we maximize the latest in data science, analytics techniques and visualization tools to drive out business forward through smart predictions actionable insights. We are passionate about solving business problems through data and technology and this internship will allow candidates to work closely with a of high-performing colleagues responsible for developing and implementing in-depth data analytics. Many of these outputs are foundationally important to better understand our business and to drive effective strategies.

We expressly empower colleagues to harness the power of our data unlock potential through Data, Technology & innovation. Finance data scientists have highly visible roles with frequent exposure to teams across the Enterprise, including business partners, Risk, and others. Given the broad remit of our teams, an ideal candidate will bring a unique balance of strong analytical and communication skills.

Candidates will be asked to help define new methods of prediction that are aligned with them with our business strategy.

How will you make an impact in this role?:

• Innovate and develop new, more sophisticated ways to track, analyze, and forecast customer behaviors and trends to inform both near- and longer-term business strategies

• Develop and / or enhance machine learning modelling techniques to forecast spend, lend and other metrics which sit 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 along with capital adequacy

• Play the role of strategic advisors as the guide on spend trends, converging data [e.g., multivariate analyses] to parse weak signals and get ahead of inflection points

This position will be based in New York City

Minimum Qualifications:

• Currently enrolled in a full-time graduate degree program in Applied Mathematics, Computer Science, Data Science Engineering, Quantitative Finance, or Statistics

• A graduation date between December 2025 and June 2026

Preferred Qualifications:

• 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 application of 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 levels of motivation and intellectual curiosity combined with excitement to work 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

Our team will review completed applications on a rolling basis. We appreciate your patience while we consider your application and will be in contact with you

Salary Range: $38.45 to $87.00 hourly + sign-on bonus

The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws,

American Express may provide visa sponsorship for certain positions.

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

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

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

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.

We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.