Analyst – Data Science Job Openings in Gurgaon 2026!!!
American Express announced job vacancy for the post of Analyst – Data Science.The place of posting will be at Gurgaon (Hybrid).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 | Analytics, data science, model development, validation, or big‑data workstreams |
| Category | Data Mgmt and Analytics |
| Work Type | Hybrid |
| Closing Date | 20th June 20926 @ 12 AM |
The Analyst, Data Science role sits within the Model Risk Management Group (MRMG) under the Global Risk and Compliance organization. The role supports the independent risk management and governance of Generative AI and advanced Machine Learning models across American Express.
This role focuses on the assessment and monitoring of LLMs, GenAI applications, and ML‑based models used in areas such as marketing, credit, fraud, customer engagement, operations, and risk decisioning. The analyst will contribute to strengthening enterprise model risk controls, elevating model excellence, and supporting compliance with evolving regulatory and governance expectations for AI systems.
Job Details
Θ Positions: Analyst – Data Science
Θ Job Location: Gurgaon (Hybrid)
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: 26008698
Roles and Responsibilities:
- GenAI Model Risk Assessment & Oversight
- Support independent oversight and effective challenge of Generative AI, LLM‑based, and advanced ML models across the enterprise.
- Participate in risk based GenAI model risk reviews, including assessment of:
- Model objectives, design, and architecture
- Training data, prompt design, and assumptions
- Model performance, monitoring approaches, and control mechanisms
- Risks related to bias, explainability, robustness, and misuse
- Execute model risk testing, documentation reviews, and evidence assessment in line with MRMG standards.
- Frameworks, Research & Continuous Learning
- Contribute to gap assessments against internal policies and external regulatory expectations for AI/ML models.
- Conduct AI/ML and GenAI research to support MRMG guidance, standards, and validation approaches.
- Stay current on emerging trends in Generative AI, AI risk management, and regulatory developments, and apply learnings to day‑to‑day work.
- Stakeholder Collaboration & Communication
- Prepare clear, well‑structured analysis, validation notes, and risk summaries for internal stakeholders.
- Communicate analytical findings effectively to business partners, model committees, and senior leaders, with guidance from managers.
- Collaborate with cross‑functional teams including data science, engineering, product, and risk partners to support validation execution.
- Enterprise Contribution
- Support consistent, scalable, and defensible GenAI risk management practices across the enterprise.
- Help improve efficiency and quality of MRMG processes through strong analytical execution and documentation discipline.
Required Skills & Qualifications:
- MBA or Master’s Degree in Statistics, Economics, Data Science, AI/ML, Generative AI or related quantitative fields from a top‑tier institute.
- Experience
- 0–2 years of experience in analytics, data science, model development, validation, or big‑data workstreams.
- Exposure to AI/ML model development, testing, or validation through professional experience, projects, or internships preferred.
- Interest in or early exposure to Generative AI or LLM‑based systems is a strong plus.
- Technical Skills
- Foundational understanding of AI/ML concepts, with interest in Generative AI technologies.
- Hands‑on experience with at least one of Python, PySpark, R, or SQL.
- Ability to work with data, perform analytical checks, and support model evaluation activities.
- Core Capabilities
- Strong analytical, problem‑solving, and structured‑thinking skills.
- Clear written and verbal communication, with ability to explain analytical results to diverse audiences.
- Ability to manage multiple tasks, adapt to changing priorities, and meet tight timelines.
How to Apply
Apply Link – Click Here
For Regular Updates Join our WhatsApp – Click Here
For Regular Updates Join our Telegram – Click Here
Disclaimer:
The information provided on this page is intended solely for informational purposes for Students, Freshers & Experience candidates. All the recruitment details are sourced directly from the official website and pages of the respective company. Latest MNC Jobs do not guarantee job placement, and the recruitment process will follow the company’s official rules and Human Resource guidelines. Latest MNC Jobs do not charge any fees for sharing job information. Latest MNC Jobs strongly advise Students, Freshers & Experience candidates not to make any payments for any job opportunities.
