Analyst – Data Science (Job ID: 25021483)

Urgent
Application deadline closed.

Job Description

Company: American Express
Location: Gurugram, Haryana / Bengaluru, Karnataka, India (Hybrid)
Job Type: Full-Time
Experience: 0-3 years in analytics, big data workflows, machine learning, data science
Education: MBA, Masterโ€™s in Economics, Statistics, Computer Science, or related fields
Expected Salary: โ‚น8,00,000 to โ‚น15,00,000 Lakhs per year
Job Category: Information Technology, Engineering
Website: Website
Contact: Contact us


About the Company:
American Express, a global leader in financial services, has over 175 years of history built on innovation and customer-centric values.
The company offers diverse career paths supported by a culture of inclusivity, professional development, and employee well-being.
In India, Amex operates across multiple locations, emphasizing technological advancement and analytics-driven decision-making.


About the Role:
As a Data Science Analyst, you will develop, deploy, and validate predictive models to support profitable decision-making across risk, fraud, and marketing domains.
You will analyze large data sets, create innovative solutions, and communicate findings to leadership, contributing to the companyโ€™s industry-leading risk and customer experience management.


Key Responsibilities:
๐Ÿ“Œ Develop, deploy, and validate machine learning models for risk, fraud, and marketing decisions
๐Ÿ“Œ Analyze large datasets to derive actionable business insights
๐Ÿ“Œ Leverage the Amex networkโ€™s closed-loop data to enhance decision relevance and accuracy
๐Ÿ“Œ Innovate using big data, neural networks, reinforcement learning, and other advanced techniques
๐Ÿ“Œ Articulate findings clearly to senior leaders and cross-functional partners
๐Ÿ“Œ Stay current on payments, finance, and analytics industry trends


Requirements:
๐ŸŽฏ MBA or Masterโ€™s Degree in Economics, Statistics, Computer Science, or related fields
๐ŸŽฏ 0 – 3 years of experience in analytics, big data, or data science projects
๐ŸŽฏ Proficiency in SAS, R, Python, Hive, Spark, SQL
๐ŸŽฏ Hands-on experience with supervised and unsupervised learning models, neural networks, reinforcement learning, Bayesian models, and data engineering
๐ŸŽฏ Strong problem-solving, communication, and project delivery skills
๐ŸŽฏ Ability to work independently, learn quickly, and collaborate globally


Why Join American Express?
โœ… Be part of an innovative, customer-focused global leader with a rich history
โœ… Competitive salary, bonuses, and employee benefits supporting your well-being
โœ… Opportunities across diverse functions and continuous career development
โœ… Support for work-life balance with flexible hybrid working options
โœ… Access to wellness centers, mental health support, and employee assistance programs