American Express Hiring Analyst – Data Science | Latest IT Jobs 2026

American Express, a global leader in financial services, is actively recruiting for the Analyst – Data Science role in Gurgaon, India. This position offers freshers and early-career professionals a chance to work on cutting-edge US Prospect Analytics within a hybrid setup.

In the competitive 2026 job market, data science roles like this stand out due to their focus on GenAI and big data, driving revenue for sales channels. American Express provides stability, innovation, and global exposure, making it ideal for those eyeing long-term careers in analytics.

Graduates or postgraduates with 0-3 years of experience, skilled in Python, SQL, and Hive, should apply. Salary aligns with industry standards, often starting strong for top talent in Gurgaon.

About American Express

American Express is a Fortune 500 company renowned for premium credit cards, payment solutions, and financial services worldwide. In India, it has a robust presence with hubs in Gurgaon and Bengaluru, focusing on analytics, risk management, and AI-driven innovations. The company invests heavily in data science to enhance customer experiences and business growth.

Employees highlight a supportive culture that fosters learning and collaboration. For instance, teams work on strategic projects using the latest technologies, enabling quick career progression. American Express emphasises diversity, with professionals from top institutes contributing to global initiatives. In data science, roles involve real impact, such as optimising sales channels and leveraging GenAI for efficiency.

Growth opportunities abound through job rotations, training in analytics tools, and exposure to international markets. With a commitment to employee development, American Express has become a top choice for IT and finance careers in India, offering hybrid work and comprehensive benefits from day one.

Job Overview

This Analyst – Data Science position is part of the AIM team, focusing on US Prospect Analytics for sales channels. It is a full-time role based in Gurgaon (Hybrid).

• Experience: 0-3 years (Fresher/Experienced)
• Location: Gurgaon, Haryana, India
• Employment Type: Full-time
• Requisition ID: 26001414

Role & Responsibilities

• Spearhead analytics to drive commercial acquisitions in US sales channels using GenAI, data science, big data, and advanced techniques.
• Enable decision-making across channels by exploring big data, creating segmentation logic, prompt engineering, and traditional ML for lead prioritisation.
• Support GCS partners with actionable analytical solutions to evaluate and drive business performance.
• Act as a self-initiator to understand business needs and support pilot projects in ambiguous environments.
• Manage cross-collaboration among marketing, sales, capabilities, and modelling teams for timely deployment of analytics strategies.
• Demonstrate exceptional execution by resolving issues, defining success metrics, and driving outcomes.
• Excel in communication to engage, influence, and inspire partners for collaboration.
• Challenge the status quo with breakthrough thinking to uncover insights and opportunities.

Required Skills & Qualifications

• 0-3 years in relevant domain; degree in quantitative field like B.Tech, BSc/MSc Statistics, or Economics preferred.
• Proficiency in Hive, Python, PySpark, SQL, ChatGPT for data manipulation, statistical modelling, and data mining.
• Knowledge of decision trees and GenAI techniques to automate processes.
• Strong analytical skills to diagnose business needs and drive insights for marketing solutions.
• Excellent communication to present compelling messages to various organisational levels.
• Team player able to align on business objectives and actionable solutions.
• Passion for data science and machine learning with a track record of novel solutions.

Expected Salary for Analyst – Data Science in Gurgaon

Salary is as per company standards, typically ranging from ₹8-15 LPA for candidates with 0-3 years of experience in Gurgaon. Freshers may start at ₹8-12 LPA, while those with 2-3 years can expect ₹12-15 LPA, depending on skills in Python, SQL, and GenAI.

This range reflects industry trends for data science analysts at top firms like American Express, with rapid growth potential. Salaries often increase 20-30% annually with performance, plus bonuses and benefits. For a personalised estimate, use the Salary Estimator tool.

Why Join American Express?

• Career Growth: Access job rotations and leadership programs to build a global network.
• Tech Exposure: Work with advanced tools like GenAI, PySpark, and big data on high-impact US projects.
• Salary Progression: Competitive pay with quick increments and performance bonuses.
• Learning Opportunities: Continuous training in analytics, AI, and CPE credits.
• Real Impact: Influence revenue strategies in a collaborative, innovative culture.

Selection Process

American Express typically follows a structured hiring process for data science roles:

• Online Application Screening: Resume review for skills match.
• Technical Assessment: Coding tests on Python, SQL, Hive, and ML concepts.
• Technical Interviews: 2-3 rounds on data analytics, GenAI, and problem-solving.
• HR Round: Cultural fit, salary discussion, and behavioural questions.
• Final Offer: Background verification.

How to Prepare for American Express Interview

Focus on core skills like SQL queries, Python for data manipulation, and GenAI prompt engineering. Practice case studies on lead segmentation and business analytics. Build projects showcasing PySpark and Hive.

To stand out, optimise your application with tools like the Resume Builder and check ATS compatibility using the ATS Score Checker. Prepare for interviews with the Interview Preparation guide, craft a strong cover letter via Cover Letter Generator, and get feedback from Resume Reviewer. Explore Certification Suggestion for relevant courses and plan ahead with Career Path Planner.

How to Apply

Ready to apply? Click here to apply on the official website

Frequently Asked Questions (FAQs)

What is the salary for Analyst – Data Science at American Express in Gurgaon?

Expect ₹8-15 LPA based on experience, with strong growth potential through bonuses and hikes.

What experience is required?

0-3 years; freshers with relevant degrees and skills are eligible.

Is remote work an option?

No, it’s a hybrid role in Gurgaon.

Are freshers eligible?

Yes, graduates in quantitative fields with skills in Python, SQL, etc., can apply.

How many interview rounds are there?

Typically 4-5: screening, technical assessment, interviews, and HR.

What is the last date to apply?

Apply soon as postings close quickly; no specific deadline mentioned.

Does it offer work from home?

Hybrid model in Gurgaon; not fully remote.

What growth opportunities exist?

Job rotations, AI training, and paths to senior analyst roles.

Disclaimer

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