Analyst – Data Science
American Express — Gurugram, Haryana
₹4–10 LPA (HireSetu estimate) · 0–2 yrs exp · Freshers eligible · Internship · hybrid
HireSetu listing reference 641907 — confirm requirements below, then apply on the employer site.
Where Data Science Fits This Early-Career Track
The Analyst, Data Science role sits within American Express’s Model Risk Management Group under Global Risk and Compliance. The position supports independent oversight of Generative AI, large language models, and machine-learning models used across areas such as marketing, credit, fraud, customer engagement, operations, and risk decisioning.
The work combines AI/ML analysis with model governance, testing, documentation, and communication of risk findings.
Analysis drafted with AI assistance from public listing data, reviewed before publication. See our Editorial Policy.
What This Job Actually Involves
- This role sits in Model Risk Management, not a team that builds models.
- The work is reviewing GenAI, LLM and machine-learning models other teams have already built.
- Reviews cover design, training data, bias and robustness, with findings written up formally.
- Reads closer to model auditing than model development.
Don't Confuse These Skills
- Python, PySpark, R and SQL are listed as skills.
- The ask is to read and evaluate model code and outputs, not build production ML pipelines.
- "Preferred exposure" to GenAI/LLM systems doesn't specify how that exposure must have been obtained.
- Relevant coursework or project experience may be worth highlighting if you have it.
Something to Clarify
- Employment type on this posting is Internship.
- The qualification bar — MBA or a quantitative master's from a top-tier institute — reads like a full-time entry-level hire.
- Worth confirming with the recruiter whether this is fixed-term, a pre-placement-offer track, or a direct full-time role.
What to Highlight on Your Resume
- Model Risk, Model Validation
- Generative AI, LLM Evaluation
- Python, PySpark, SQL
- Bias and Robustness Testing
Core Capabilities Expected
- The posting names analytical and structured thinking, problem-solving, and written/verbal communication as core capabilities.
- Task management, adaptability, and working under time constraints round out the list.
- These read as real screening criteria for this seat, not boilerplate — worth having a concrete example ready for each one.
Who You'd Work With
- The role coordinates directly with data science, engineering, product, and risk teams.
- It also involves presenting findings to model committees and senior leaders — real cross-functional exposure for an entry-level seat.
- Worth mentioning any prior experience presenting technical findings to a non-technical audience.
What Makes This Early-Career Opening Different
This HireSetu page covers the Analyst – Data Science requisition at American Express (listing 641907). Apply through American Express's official careers flow — not through HireSetu directly.
American Express lists this role in Data Science (Gurugram, Haryana).
Campus, graduate trainee, and apprenticeship titles can look similar across companies but imply different assessment paths. Expect fundamentals tests even when the experience band reads zero to one year.
Location, Schedule, and Eligibility
Location in metadata: Gurugram, Haryana. Confirm relocation or hybrid expectations on the employer site.
Structured experience band: 0–2 years.
Work mode: hybrid.
Questions Freshers Often Ask
Does HireSetu submit my application to American Express?
No. You apply on American Express's employer-controlled page.
Can I apply if I am still studying?
Check the experience band and description — many trainee roles accept final-year students; others require a completed degree.
Why does this page exist if American Express also lists the job?
HireSetu helps candidates compare openings; the authoritative channel remains American Express's careers infrastructure.
Before You Apply
- Cross-check the requisition ID against the employer posting so you apply to the right opening.
- Prepare a PDF resume with consistent dates and discussable projects.
- Answer ATS screening questions in your own words — the summaries here are context, not a script.
- If the employer page shows the role as filled, withdrawn, or closed, flag it with Report a Job.
How This Listing Is Classified
Employment type: Internship. Work mode: hybrid. Category: internship.
Confirm final arrangement on the employer apply page before submitting.
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