Campus Graduate II Summer Internship Program - 2027 Data Science, Finance - New York, NY

American Express
New York
Workplace: HybridInternshipUSD 38.45 - 87 hourlyFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Problem-solving","Attention to detail","Communication","Documentation","Interpretation"]

Build predictive models and analytical frameworks using large-scale datasets to forecast financial and business metrics. Apply machine learning and statistical techniques to identify drivers of performance, risk, and customer behavior, then validate and refine model accuracy. Translate finance and business objectives into technical modeling plans and communicate results through executive-ready presentations and clear documentation while partnering with Finance, Business, Risk, and Technology teams.

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FursaFursa
American Express
American Express
5 days ago

Campus Graduate II Summer Internship Program - 2027 Data Science, Finance - New York, NY

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Build predictive models and analytical frameworks using large-scale datasets to forecast financial and business metrics. Apply machine learning and statistical techniques to identify drivers of performance, risk, and customer behavior, then validate and refine model accuracy. Translate finance and business objectives into technical modeling plans and communicate results through executive-ready presentations and clear documentation while partnering with Finance, Business, Risk, and Technology teams.
Location: New York
Workplace: Hybrid
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Query, transform, and analyze large datasets using SQL, Python, and related analytical tools.
  • •Build, test, and refine predictive models using statistical and machine learning techniques.
  • •Evaluate model performance, improve predictive accuracy, and document modeling choices, assumptions, limitations, and rationale.
  • •Apply Python or R for exploratory data analysis, feature engineering, model development, automation, and validation.
  • •Translate finance and business objectives into technical requirements and communicate project purpose, approach, findings, and business impact via presentations.

Pay and Benefits

Salary: USD 38.45 - 87 hourly
Perks:Wellness StipendCounselling Support

Key Requirements

  • •Currently enrolled in a full-time graduate degree program in a quantitative field such as Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, Quantitative Finance, AI, or Physics.
  • •Expected graduation date between December 2027 and June 2028.
  • •3+ years of prior relevant full-time work experience.
  • •Experience involving predictive modeling, machine learning, statistical analysis, optimization, or applied data science through coursework, research, internships, or projects.
  • •Demonstrated ability to use programming and quantitative methods to solve ambiguous, real-world problems.
Education:Bachelor's
Skills:Problem-solvingAttention to detailCommunicationDocumentationInterpretation
Tech Stack:PythonRSQLPower BIMachine learningPredictive modelingRegressionClassificationClusteringDecision treesFeature engineeringLLM-based AIStatistical analysisData analysisModel validationAutomationExploratory data analysis

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

American Express
Provides global payment, credit, and travel-related financial services for consumers and businesses. Best known for its charge and credit cards, merchant payment network, and premium customer rewards and servicing.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York City, United States
Founded: 1850
WebsiteLinkedIn