If you’re looking to build a career as a Data Science Analyst, American Express is offering exciting opportunities for freshers and early professionals in Gurugram and Bengaluru. With a strong focus on data science, analytics, and fraud risk management, this role is perfect for graduates who are passionate about solving complex problems with data-driven solutions.
American Express, known globally for innovation and leadership in financial services, is now hiring Data Science Analysts to join their Credit and Fraud Risk (CFR) Analytics & Data Science Center of Excellence. This is one of the best opportunities for individuals who want to grow in the fields of data science, machine learning, and big data analytics.
Why Choose a Career as a Data Science Analyst at American Express?
A Data Science Analyst at American Express plays a critical role in analyzing data, building predictive models, and enabling smarter business decisions. The CFR team helps prevent fraud, reduce risks, and improve customer experiences across millions of transactions.
This job gives you the chance to:
- Work with cutting-edge tools like Python, R, SAS, SQL, Hive, and Spark.
- Develop and validate predictive models to solve real-world financial problems.
- Collaborate with top industry experts in analytics, AI, and machine learning.
- Gain exposure to global financial services operations.
If you’re a fresher with strong analytical skills and a passion for data-driven decision-making, then this is the right career path for you.
Key Responsibilities of a Data Science Analyst
As an Analyst – Data Science, you will:
- Analyze large datasets to derive business insights.
- Develop and deploy machine learning models for risk, fraud, and marketing.
- Innovate with big data and advanced analytics techniques.
- Present findings to senior leadership and global stakeholders.
- Stay updated with latest trends in data science and finance analytics.
Eligibility Criteria
To apply for the Data Science Analyst role, you should meet the following qualifications:
- Education: MBA, Master’s Degree in Data Science, Statistics, Computer Science, Economics, or related fields.
- Experience: 0–30 months (freshers are welcome).
- Skills Required:
- Proficiency in Python, R, SQL, SAS, Hive, Spark
- Knowledge of machine learning models (supervised & unsupervised)
- Strong analytical, communication, and problem-solving skills
- Ability to work with cross-functional global teams
Job Information – Data Science Analyst
| Details | Information |
|---|---|
| Role | Data Science Analyst |
| Company | American Express |
| Location | Gurugram & Bengaluru |
| Job Type | Full-time (Hybrid) |
| Category | Credit & Fraud Risk (Analytics & Data Science) |
| Eligibility | MBA / Master’s in Data Science, Statistics, CS, Economics, or related |
| Experience | 0–30 Months (Freshers Eligible) |
| Skills | Python, R, SQL, SAS, Hive, Spark, ML Models, Data Analytics |
| Salary | As per industry standards |
| Job ID | 25017599 |
| Posted Date | September 24, 2025 |
Benefits of Joining American Express
Working as a Data Science Analyst at American Express gives you access to a competitive benefits package, including:
- Attractive salary and bonus incentives
- Hybrid work model (onsite + remote flexibility)
- Medical, dental, and vision insurance
- Paid parental leave and wellness programs
- Career growth and training opportunities
- Work-life balance with vacation and contingency leave
Career Growth as a Data Science Analyst
Starting as a Data Science Analyst opens doors to multiple career paths such as:
- Senior Data Analyst
- Machine Learning Engineer
- Data Scientist
- Risk & Fraud Analytics Manager
- Business Intelligence Specialist
With the rapid growth of AI and big data, the demand for skilled professionals in this field is higher than ever. This role can be a stepping stone to a long-term, successful career in data science and analytics.
How to Apply?
Interested candidates can apply directly through the American Express Careers Portal. Make sure your resume highlights:
- Your data analysis skills
- Experience with Python, R, or SQL
- Relevant academic projects or internships in data science and analytics
Conclusion
A career as a Data Science Analyst at American Express is one of the best opportunities for freshers and early-career professionals in India. With exposure to big data, machine learning, and global financial operations, this role offers a strong foundation for anyone passionate about data-driven problem-solving.
👉 If you are eager to start your journey as a Data Science Analyst, now is the perfect time to apply and become part of a company that values innovation, diversity, and growth.
✨ Wishing you all the best in your career journey!
