Graduate Data Scientist, Credit & Fraud Risk

Jobtailor; New York (NY); On-site; USD 34,000 - 62,000; Full time

Job summary

Jobtailor is seeking a detail-oriented Master's student for a data analytics internship in New York. You will contribute to predictive modeling and analytics across credit, fraud, and marketing, using SQL, Hive, and Python to derive actionable insights.

You will build and evaluate ML models, apply statistical methods, and collaborate with data scientists to deliver data-driven recommendations. Strong communication and teamwork are essential for this role.

Qualifications

• Currently enrolled in a Master's degree program with an expected graduation date between December 2027 and June 2028.
• Pursuing a Master’s degree in Computer Science, Statistics, Data Science, Mathematics, Artificial Intelligence, or a related quantitative field.
• Proficiency in Python for data analysis, modeling, and automation.
• Experience working with large datasets using SQL, Hive, or similar technologies and/or developing GenAI, NLP, LLM, or AI-powered solutions.
• Hands-on experience applying statistical, machine learning, or AI techniques to solve business or research problems.
• Strong analytical, problem-solving, communication, and teamwork skills.
• Employment eligibility to work with American Express in the United States is required; the company will not pursue visa sponsorship for these positions

Responsibilities

• Contribute to the development of predictive models and analytical solutions informing key business decisions across credit, fraud, and marketing
• Query, analyze, and derive insights from large and complex datasets using SQL, Hive, Python, and other analytical technologies
• Build, test, and evaluate predictive models using machine learning, statistical techniques, and advanced analytical methods
• Apply analytical approaches to solve business problems and support data-driven decision-making
• Leverage large-scale data assets and/or develop GenAI-enabled solutions to address business challenges
• Partner with data scientists, business partners, and cross-functional teams to deliver analytical solutions and recommendations
• Communicate project findings and insights through clear presentations and visualizations
• Contribute to projects enhancing risk management, customer experiences, operational efficiency, and business performance

Skills

Predictive Modeling

Data Analysis

Statistical Techniques

Machine Learning

GenAI Development

NLP Techniques

LLM Solutions

Automation

Data Querying

Education

Master's degree in Computer Science, Statistics, Data Science, Mathematics, AI or related field

Tools

SQL

Hive

Python

GenAI

NLP

LLM

Job description

Jobtailor is seeking a detail-oriented Master's student for a data analytics internship in New York. You will contribute to predictive modeling and analytics across credit, fraud, and marketing, using SQL, Hive, and Python to derive actionable insights.

You will build and evaluate ML models, apply statistical methods, and collaborate with data scientists to deliver data-driven recommendations. Strong communication and teamwork are essential for this role.