Apply now for high-paying Analyst – Data Science roles at American Express—0–2 yrs exp, hybrid Bengaluru/Gurugram, top perks & growth (2025).
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🔥 High-Paying Analyst – Data Science Role at American Express — Hybrid (2025)
Why Choose American Express? 🏢
American Express boasts a 175-year legacy of innovation and unwavering support for customers, employees, and communities. Their culture values leadership, inclusion, and continuous learning—empowering you to define the future of financial services.
With a global presence across major financial hubs, Team Amex offers growth opportunities and the backing to make a real impact.
Job Summary
As an Analyst – Data Science, you’ll drive credit risk and collections strategies by implementing advanced ML models, leveraging diverse data sources, and collaborating on AI/ML innovation.
Key Responsibilities 🔧
(Extracted from JD)
✅ Support commercial collections and credit data science initiatives
✅ Implement model usage and enhance performance
✅ Develop innovative modeling techniques and variables
✅ Integrate consumer, commercial, and internal data into credit risk models
✅ Conduct AI/ML research to boost model excellence
✅ Review customer cases to spot new variable/model opportunities
Who Can Apply? ✅
🎓 Postgraduate degree in Statistics, Mathematics, Economics, Engineering, or Management from a top-tier institute
📊 0–2 years’ experience in Analytics, Data Science, Machine Learning or related fields
⚙️ Proficiency in econometric, statistical, analytical, and ML techniques
💻 Skilled in Python/PySpark and SQL/Hive
🤝 Strong communication, teamwork, and independent project delivery ability
🧠 Fast learner who thrives in handling complex, unstructured problems
High-paying Graduate Engineer Trainee role at Maruti Suzuki
Work Location & Type 🌍
Locations: Bengaluru Urban, Karnataka OR Gurugram, Haryana, India
Work Model: Hybrid
(As specified in the job description; no remote-only option mentioned.)
Salary Insights 💰
Based on public data:
- ₹18.6 LPA avg for Data Scientists at Amex in India
- Another report shows ₹26‑35 LPA total comp for Data Scientist bands
Expect a competitive base salary, performance-based bonus, and total compensation aligned with industry top-tier standards.
About American Express 🏢
American Express is renowned globally for its payments innovation, trusted financial services, and customer-first philosophy. With operations spanning multiple countries and diverse teams, Amex fosters an inclusive environment where every voice matters. Career growth is accelerated through structured leadership programs, extensive training, and cutting-edge analytics projects.
Perks & Benefits 🎁
According to employee feedback:
- 🏥 Comprehensive health, dental, vision, life, and disability insurance
- 💰 Competitive base salary + annual bonus incentives
- 🏡 Hybrid work flexibility (onsite/virtual as needed)
- 🧠 Financial wellness & retirement support
- 🤰 Generous paid parental leave (location-dependent)
- 🧘 On‑site/global wellness centers & mental health counseling (“Healthy Minds”)
- 🚘 Transport allowances or facilities
- 📚 Career development & training opportunities
- 🆓 Paid time off: casual/sick/privilege/bereavement leave schemes
📢 How to Apply for American Express Recruitment 2025?
To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:
- Click on “Apply”.
- If you have not registered before, create an account.
- After registration, log in and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- Submit the application form after verification.
If you face any issues while applying. Do let us know in the comment section
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FAQs ❓
What is the selection process?
• Initial resume screening → online assessments (technical + psychometric) → rounds including case study, technical review, and HR interview
Does this job support remote work?
No – this is a hybrid role based out of Bengaluru or Gurugram. Remote-only is not mentioned.
What skills are preferred?
ML/statistics expertise, Python/PySpark, SQL/Hive, credit modeling, analytical thinking, communication, and teamwork.
When is the last date to apply?
No deadline mentioned—apply ASAP to align with their intake cycle.
