American Express Hiring Fresher Analyst – Data Science
Job Description
Company: American Express
Job Role: Analyst – Data Science
Qualification: Post Graduate Degree in Statistics / Mathematics / Economics / Engineering / Management from Top Tier Institutes
Batch: Recent Batches (2023 / 2024 / 2025)
Experience: Freshers (0–2 years)
Salary: ₹4 to ₹7 LPA (Expected)
Job Location: Bengaluru, Karnataka & Gurgaon, Haryana
Work Mode: Hybrid
Last Date to Apply: Apply ASAP
Job Description – High CPC Optimized
American Express is hiring fresh graduates for the role of Analyst – Data Science under its Commercial Data Science & Model Integration team. This opportunity is ideal for aspiring data scientists passionate about working on AI/ML projects, credit risk modeling, and big data analytics.
You will work on:
- Building and enhancing credit and collection models using data science tools
- Using internal and external data (consumer, commercial bureau, etc.) for modeling
- Innovating new AI/ML techniques to drive business impact
- Exploring model interpretability, variable importance, and deployment strategies
Key Responsibilities
- Support the development and enhancement of commercial credit risk models
- Leverage AI/ML techniques to identify business insights
- Analyze customer cases to generate actionable intelligence
- Work closely with data, product, and risk teams to execute models
- Conduct research and experiments in modeling, automation, and data ingestion pipelines
Required Skills & Qualifications
- Postgraduate Degree in a relevant field from Tier 1 institutes
- Strong foundation in statistics, machine learning, and analytics
- Proficiency in Python, PySpark, SQL, Hive
- Excellent communication and collaboration skills
- Ability to learn quickly and work independently
- Experience or academic projects related to data science, credit scoring, or predictive analytics
Perks & Benefits
- Competitive base salary and bonus incentives
- Financial-wellbeing and retirement plans
- Comprehensive health insurance (medical, dental, vision)
- Flexible hybrid work model
- Generous parental leave policies
- Access to wellness centers and mental health support
- Ongoing training and career growth opportunities
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