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Senior Analyst-Data Science at AMERICAN EXPRESS — Gurgaon

Experience2–7 yrs
SalaryNot disclosed
Work modeonsite
Levelmid
Posted18 Sept 2026

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About AMERICAN EXPRESS

AMERICAN EXPRESS is hiring in Gurgaon in financial services. This role looks for around 2+ years of experience.

Skills

Statistics
Mathematics
Economics
Engineering
Management
Python
Hive
PySpark
Machine Learning
Deep Learning
Artificial Intelligence
Google Cloud
data preprocessing
Fraud Risk Decision Science

The role

A data scientist at a financial services company develops fraud risk decision models using advanced machine learning, deep learning, and Python, and applies PySpark to large datasets. Google Cloud supports model training while analytical modeling translates business challenges into technical solutions for risk decisions.

Full job description

Fraud, CBO, Payments and Agentic Risk Decision Science Team of American Express is looking for a tenured Analyst or Sr. Analyst who would be actively involved in developing, refining and implementing ML models for Fraud Risk Decision Sciences domain.

Minimum Qualifications

Graduate/Post Graduate Degree in Statistics / Mathematics / Economics / Engineering/Management from a reputed institute.

2+ years relevant CFR experience in Analytical/Modelling Skills

Proficiency in data analysis and programming languages such as Python, Hive, PySpark.

Strong coding skills and hand-on experience with advanced Machine Learning, Deep Learning, AI algorithms

Familiarity with cloud computing platforms like Google Cloud for model training.

Experience in handling large datasets and implementing data preprocessing techniques

Excellent communication and presentation skills, with the ability to translate business problems into technical solutions and explain complex technical concepts to non-technical stakeholders.

Demonstrated ability to provide insight and accurate judgment in addressing and resolving business challenges and opportunities

Preferred Qualifications

Knowledge of Amex platforms is preferred

Experience in building and deploying models

Experience in working with Agents and associated risks

Responsible for:

Leverage advanced ML techniques to innovate for the next generation of models and drive business growth

Conduct case reviews to generate insights for improving the model performance and decision-making processes

Collaborate with relevant stakeholders to ensure alignment of analytical and modeling efforts with business objectives, effectively managing stakeholder expectations and communication throughout the project lifecycle

Bring in ideas by incorporating external perspectives through reading research papers and identify appropriate use cases to enhance model development and innovation.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.