Data Science
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Job Description
About American Express
American Express is a global company with a diverse community of colleagues dedicated to supporting their customers, communities, and each other. They offer a unique and meaningful career journey with benefits, programs, and flexibility to support employees both personally and professionally. American Express values its employees’ contributions, leadership, and impact, providing opportunities for everyone to share in the company’s success.
Company Values:
• Customer-centricity: Providing the world’s best customer experience.
• Integrity: Operating with the utmost honesty and ethics.
• Teamwork: Winning as a team and supporting each other.
• Diversity and Inclusion: Creating an environment where everyone feels seen, heard, and like they belong.
Data Science Role at American Express
Business Unit: Global Decision Science
Location: Global
Impact: As a Data Science colleague, you’ll be a key member of the Credit and Fraud Risk organization, contributing to the development of digital products and data-driven insights that shape customer experiences.
Responsibilities:
• Predictive Modeling and AI: Develop, deploy, and validate predictive models using industry-leading modeling and AI practices.
• Customer Behavior Insights: Analyze extensive digital data (Web, App, API) to understand customer behavior and create valuable insights.
• Data-Driven Optimization: Leverage data to improve credit, fraud, marketing, and customer service strategies.
• Machine Learning and Algorithms: Build and implement advanced machine learning models and algorithms to enhance customer experiences.
• Big Data Environment: Work with sophisticated tools and industry-leading big data environments.
• Innovation: Explore and develop new approaches using big data and machine learning solutions.
Qualifications:
• Minimum: Currently enrolled in a full-time Masters/PhD degree program in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research, etc.) with hands-on experience using sophisticated analytical and machine learning techniques.
• Preferred:
• PhD degree with practical experience in NLP (Natural Language Processing)
• Passion for customer experience, innovation, and customer-first thinking.
• Proven ability to frame business problems into mathematical solutions and deliver insights.
• Expertise in analytical languages (Python, R) and experience with databases (Hive, SQL).
• Strong communication and presentation skills.
Key Skills:
• Data analysis and interpretation
• Machine learning techniques
• Programming skills (Python, R)
• Database experience (Hive, SQL)
• Communication and presentation skills
Benefits:
• Competitive base salaries
• Flexible work arrangements
• Free access to global on-site wellness centers
• Free and confidential counselling support
• Career development and training opportunities
Note: The specific job responsibilities will depend on the team you are selected for during your summer internship role.
