Analyst-Data Science

codingcircle; Gurugram District; On-site; INR 1,000,000 - 1,200,000; Full time

Benefits offered by this job

Generous paid parental leave

Comprehensive insurance benefits

Flexible working model

Career development opportunities

Job summary

American Express is looking for an Analyst, Data Science in Gurugram, focusing on independent oversight and governance of Generative AI and advanced Machine Learning models. The role supports model risk management and collaboration across departments.

Ideal candidates have an MBA or Master’s in a relevant field, with 0-2 years of experience in analytics. Strong analytical skills and an interest in AI/ML technologies are crucial. This position offers a hybrid work environment with a strong benefits package.

Qualifications

• 0–2 years of experience in analytics, data science, or related fields.
• Experience with AI/ML model development preferred.
• Interest in Generative AI is a strong plus.

Responsibilities

• Support oversight of AI models across the enterprise.
• Participate in risk-based model reviews.
• Conduct AI/ML research to support guidance and standards.

Skills

Analytical skills

Interest in AI/ML technologies

Communication skills

Python

Education

MBA or Master’s Degree in Statistics, Data Science, AI/ML

Tools

Python

R

SQL

Job description

American Express Gurugram Full-time Fresher Not Disclosed Posted 2 days ago

Company :- American Express
Job Identification :- 26008698
Job Category :- Data Mgmt and Analytics
Posting Date :- 06/12/2026, 01:52 PM
Apply Before :- 06/20/2026, 12:00 AM
Job Schedule :- Full time
Job Shift :- Day
Locations:- AMEX Sub Tehsil Kadipur, Gurugram, HR, 122004, IN(Hybrid)
Career Area :- Analytics & Risk Management

Job Description

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.

The role requires strong analytical skills, curiosity in AI/ML technologies, and the ability to translate technical findings into clear, risk‑focused insights for stakeholders.

Responsibilities

• 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.
• 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.

Critical Factors to Success

Business & Enterprise Outcomes

• Contribute to improved model accuracy, robustness, and governance for GenAI and ML models.
• Support enterprise objectives by enabling responsible AI deployment through strong risk discipline.
• Continuously improve technical and domain expertise to enhance business impact.
• Set the Agenda
  • Demonstrate enterprise thinking and connect work outputs to broader risk and business priorities.
• Bring Others With You
  • Collaborate effectively, seek feedback, and actively contribute as part of high‑performing teams.
• Do It the Right Way
  • Communicate clearly and candidly, demonstrate integrity in analysis, and uphold American Express values.
  • Show learning agility, curiosity, and willingness to challenge assumptions responsibly.

Qualifications

Education

• 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.
• 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.

We back you with benefits that support your holistic well‑being so you can be and deliver your best. This means caring for you and your loved ones’ physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Support for financial‑well‑being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on‑site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.