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American Express Off Campus Drive 2026 | Analyst – Data Science Jobs in Gurugram & Bengaluru | Placement Officer
Detailed Summary (Quick Overview)
American Express (Amex) has announced its
Off Campus Drive 2026 to hire Analyst – Data Science
professionals for its Credit & Fraud Risk (CFR) Analytics & Data
Science CoE team. This opportunity is ideal for MBA and Master’s
graduates with 0–30 months of experience who want to work on real-world
fraud, risk, and marketing analytics problems using Python, SQL, SAS,
Spark, Hive, and Machine Learning.
The role offers a hybrid work model,
global exposure, high compensation, and the chance to work in one
of the best companies for data scientists in India. Locations include Gurugram
(Haryana) and Bengaluru (Karnataka).
Are you Searching for Fresher Jobs: Click Here
About American Express (Amex)
American Express is a global financial
services leader known for its strong culture, data-driven decision-making, and
commitment to employee growth.
At Amex, you don’t just work on data—you influence
decisions that impact millions of customers worldwide. The company strongly
invests in analytics, AI, and machine learning, making it a dream
destination for aspiring data scientists and analytics professionals.
Tagline: You Lead The Way. We’ve Got Your
Back.
American Express Off Campus Drive 2026 – Job Overview
Job Role
Analyst – Data Science
Job ID
26001162
Work Locations
·
Gurugram, Haryana,
India
·
Bengaluru Urban,
Karnataka, India
Work Model
Hybrid (Office + Remote)
Experience Required
0 – 30 months (Freshers & early
professionals)
Business Unit: Credit & Fraud Risk (CFR)
The CFR Analytics & Data Science
CoE is the backbone of American Express’ financial decision-making. The
team:
·
Reduces fraud and
credit risk
·
Maintains
industry-leading low credit loss rates
·
Uses advanced
analytics, big data, and ML models
·
Supports
underwriting, customer onboarding, marketing, and lifecycle management
Detailed Job Description – Analyst Data Science
As an Analyst – Data Science at American
Express, you will work on development, deployment, and validation of
predictive models that power critical business decisions across risk,
fraud, and marketing domains.
Key Responsibilities
·
Understand Amex’s
core business and decision levers
·
Analyze large,
complex datasets to generate actionable insights
·
Build and deploy
predictive and ML models
·
Leverage Amex’s
closed-loop network data for smarter decisions
·
Apply big data
and machine learning techniques to solve real business problems
·
Present analytical
findings clearly to senior leadership
·
Stay updated with
industry trends in finance, payments, and analytics
Essential Skills Required (Must-Have Skills)
To successfully crack the American
Express Analyst – Data Science role, candidates should possess:
Technical Skills
·
Python / R / SAS
·
SQL (Advanced
querying)
·
Big Data Tools:
Hive, Spark
·
Machine Learning
(Supervised & Unsupervised)
·
Predictive Modeling
& Feature Engineering
·
MapReduce concepts
·
Statistical Analysis
& Hypothesis Testing
Advanced ML Techniques
·
Decision Trees
·
Neural Networks
·
Reinforcement
Learning
·
Bayesian &
Gaussian Models
·
Transfer Learning
·
Graphical Models
Soft Skills
·
Strong communication
& storytelling with data
·
Problem-solving
mindset
·
Ability to work
independently on unstructured problems
·
Cross-functional
collaboration skills
Minimum Qualifications
·
MBA OR
·
Master’s degree in:
o Statistics
o Economics
o Computer Science
o Engineering or related fields
·
0–30 months of
analytics / data science experience
Preferred Qualifications
·
Strong coding &
algorithmic skills
·
Experience with
high-performance computing
·
Exposure to
large-scale data environments
Batches Eligible (Based on Job Description)
Based on qualifications and experience
requirements, the following batches are eligible:
·
2023 Batch
·
2024 Batch
·
2025 Batch
·
2026 Batch (Postgraduates / MBA
students graduating in 2026)
Expected Salary (Market-Benchmarked)
Based on industry data from leading job
portals and Amex compensation trends:
·
Expected CTC: ₹18 LPA – ₹30 LPA
·
Average Fresher/Entry-Level CTC: ₹20–22 LPA
·
Additional Benefits:
o Annual performance bonus
o Stock/retirement benefits
o Health & wellness programs
Note: Salary varies based on education,
experience, and interview performance.
Benefits & Perks at American Express
·
Competitive base
salary
·
Performance bonuses
·
Hybrid &
flexible working model
·
Comprehensive
medical, dental & vision insurance
·
Mental wellness
& counseling programs
·
Global wellness
centers
·
Paid parental leave
·
Career development
& learning programs
Pro Tips to Crack American Express Off Campus Drive 2026
1. Master SQL & Python – Most interview
rounds focus heavily on these
2. Revise ML fundamentals – Be clear on model
selection and evaluation
3. Understand business impact – Amex values analytics
that drive decisions
4. Prepare real-world case studies –
Fraud detection & risk modeling preferred
5. Strong resume storytelling – Highlight
measurable impact, not just tools
6. Practice explaining models to non-technical stakeholders
Are You Searching for Experienced Jobs: Click
Here
FAQs – American Express Analyst Data Science 2026
Q1. Is this role open for freshers?
Yes, candidates with 0–30 months of experience are eligible.
Q2. Is the job remote?
No, it follows a hybrid work model.
Q3. Which degree is mandatory?
MBA or Master’s degree in Statistics, Economics, CS, or related fields.
Q4. What is the salary for Analyst – Data Science at Amex?
₹18–30 LPA
depending on experience and performance.
Q5. Which location is better – Gurugram or Bengaluru?
Both locations offer equal growth and exposure.
Conclusion
The American Express Off Campus Drive
2026 for Analyst – Data Science is a golden opportunity for aspiring
data scientists who want to work on high-impact financial analytics problems
at a global organization. With excellent compensation, world-class
mentorship, hybrid flexibility, and cutting-edge data challenges, this role
can be a career-defining move for early-career professionals.
If you are passionate about data, machine learning, and solving real business problems at scale, American Express is the place to be.
🔗 Apply Link: Click Here To Apply for American Express
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Disclaimer
The recruitment details shared above are for informational purposes only and
have been obtained from the organization’s official website. We do not
guarantee any job placements. Recruitment will be conducted according to the
company's official process. We do not charge any fees for sharing this job
information.
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