Analyst-Data Science Job Openings in Gurgaon & Bangalore 2026!!!
American Express announced job vacancy for the post of Analyst-Data Science.The place of posting will be at Gurgaon & Bangalore.Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Company Overview
| Name of the Company | American Express |
| Required Qualifications | Post Graduate |
| Skills | SAS, R, Python, Hive, Spark, SQL |
| Category | Data Mgmt and Analytics |
| Work Type | Hybrid |
| Closing Date | 19th August 2026 @ 12 AM |
Development, deployment and validation of predictive model(s) and supporting use of models in economic logic to enable profitable decisions across risk, fraud and marketing.
Job Details
Θ Positions: Analyst-Data Science
Θ Job Location: Gurgaon & Bangalore
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: 26012381
Roles and Responsibilities:
- Understand the core business of AXP and the levers behind various decisions
- Analyze large amounts of data to derive business insights and create innovative solutions
- Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
- Innovate with a focus on developing newer and better approaches using big data & machine learning solution
- Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners
- Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.
Required Skills & Qualifications:
- MBA, master’s degree in economics, Statistics, Computer Science Or related fields
- 0-30 months of experience in analytics, big data workstreams.
- Ability to work effectively in a team environment
- Ability to drive project deliverables to achieve business results
- Strong communication and interpersonal skills
- Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives
- Ability to Integrate with Cross-Functional Business Partners Worldwide
- SAS, R, Python, Hive, Spark, SQL
- Unsupervised and supervised techniques -: active learning, transfer learning, neural models, Decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, Map Reduce techniques, attribute engineering
Preferred Qualifications
- Expertise in Coding, Algorithm, High Performance Computing
How to Apply
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