American Express (Amex), a global leader in financial services and analytics, is inviting applications for the role of Data Science Analyst in Gurugram and Bengaluru, India (Hybrid).
This opportunity is designed for freshers and early‑career professionals (0–30 months of experience) who want to build careers in data science, machine learning, analytics, and risk management.
Job Overview
| Details | Information |
|---|---|
| Company | American Express |
| Role | Data Science Analyst |
| Job ID | 26012381 |
| Location | Gurugram, Haryana & Bengaluru, Karnataka |
| Work Mode | Hybrid |
| Experience | 0–30 Months |
| Employment Type | Full‑Time |
| Career Area | Analytics & Risk Management |
| Education | MBA / Master’s in Statistics, Economics, Computer Science, or related fields |
| Key Skills | Python, SAS, R, SQL, Hive, Spark, Machine Learning |
Key Responsibilities
- Analyze large datasets to uncover patterns and insights.
- Develop predictive models for fraud detection, credit risk, and customer analytics.
- Apply machine learning techniques to real‑world business problems.
- Collaborate with cross‑functional teams to deliver analytical solutions.
- Communicate findings to stakeholders and support strategic decision‑making.
Eligibility Criteria
- Education: MBA or Master’s in Statistics, Economics, Computer Science, or related fields.
- Experience: 0–30 months in analytics, data science, or big‑data projects.
- Strong interest in data science, AI/ML, and risk analytics.
Skills at a Glance
- Programming: Python, SAS, R, SQL.
- Big Data: Hive, Spark.
- Machine Learning: Predictive modeling, bias reduction, model evaluation.
- Analytics: Fraud detection, credit risk, customer insights.
- Soft Skills: Communication, problem‑solving, analytical thinking.
Career Growth
Starting as a Data Science Analyst at American Express can lead to roles such as:
- Senior Data Analyst
- Data Scientist
- Machine Learning Engineer
- Risk Analyst
- Fraud Analytics Specialist
- Analytics Consultant
- Data Science Manager
Why Apply?
- Exposure to large‑scale datasets and real‑world analytics problems.
- Opportunity to work on fraud detection, credit risk, and predictive modeling.
- Hybrid work model with global collaboration.
- Strong foundation for careers in data science and risk management.
Final Thoughts
The American Express Data Science Analyst Recruitment 2026 is a valuable opportunity for graduates with Python, SQL, SAS, R, Spark, Hive, and ML knowledge to gain hands‑on experience in analytics and risk management.
With exposure to fraud prevention, credit risk modeling, and customer analytics, this role provides a strong platform for building a career in data science and financial analytics.