Analyst – Data Science Job Openings in Bangalore & Gurgaon 2025 | High-Paying Data Science Careers
American Express has officially announced job openings for the position of Analyst – Data Science in Bangalore and Gurgaon (Hybrid mode). This opportunity is perfect for candidates with a strong background in Data Analytics, Machine Learning, and Predictive Modeling who aspire to grow in a global financial technology environment. Postgraduates with relevant experience or freshers passionate about analytics are encouraged to apply.
Company Overview
Θ Name of the Company: American Express
Θ Job Role: Analyst – Data Science
Θ Category: Data Science / Analytics
Θ Work Type: Hybrid (Office + Work from Home)
Θ Job Location: Bangalore & Gurgaon
Θ Salary: As per company norms
Θ Job Type: Full-Time
Θ Requisition ID: 25019586
About the Department
The Credit and Fraud Risk (CFR) team at American Express plays a vital role in driving profitable business growth by reducing fraud risk while maintaining industry-leading low credit loss rates. The team uses advanced AI, data analytics, and machine learning models to detect fraudulent activities, enhance risk management, and deliver a seamless customer experience. If you’re passionate about data-driven decision-making and want to work on impactful projects that combine analytics with financial technology, this role is for you.
Roles and Responsibilities
- Understand the core business levers of American Express and support key decision-making processes.
- Analyze large datasets to derive insights and develop innovative business solutions.
- Leverage Amex’s closed-loop data network to create intelligent, data-backed decisions.
- Develop, deploy, and validate predictive models to optimize risk, fraud, and marketing strategies.
- Apply machine learning algorithms and statistical models to improve business efficiency.
- Communicate business findings and analytical results to senior leadership and stakeholders.
- Stay updated on trends in finance, payments, data analytics, and AI-driven innovation.
Required Skills & Qualifications
- MBA or Master’s degree in Economics, Statistics, Computer Science, or a related field.
- 0–2 years of experience in analytics, big data, or data science projects.
- Proficiency in tools and languages such as SAS, R, Python, Hive, Spark, SQL.
- Experience with supervised and unsupervised learning techniques including decision trees, reinforcement learning, neural networks, and Bayesian models.
- Strong communication and interpersonal skills.
- Innovative thinker with the ability to work independently and manage complex initiatives.
- Strong teamwork and collaboration skills across cross-functional global teams.
Preferred Qualifications
- Experience in algorithm development, coding, or high-performance computing.
- Exposure to financial analytics, credit risk modeling, or fraud detection systems.
How to Apply
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Disclaimer: The information provided here is intended solely for informational purposes for students, freshers, and experienced candidates. All job details are sourced directly from the official American Express careers page. Latest MNC Jobs does not charge any fees or guarantee placement. Applicants are advised to apply only through official company channels and avoid fraudulent offers.
