American Express Hiring Analyst Data Analytics (Gurugram) | Hybrid

Job Description

The Analytics, Investment Optimization and Marketing Enablement (AIM) team sits within the Global Commercial Services Marketing group at American Express. It serves as the analytical engine for the Global Commercial Card and Non-Card business, driving profitable growth through data, analytics, decision science and AI-powered capabilities that deliver actionable insights for business and marketing strategy.

Based in Gurugram, this role sits within the AIM team and focuses on building and applying advanced Data Science and Generative AI solutions across Global Commercial Services. The work covers high-impact problems such as customer acquisition, engagement, targeting and personalization, product and portfolio analytics, marketing measurement and analytical productivity.

The role centers on applying Generative AI to business and analytical problems and turning opportunities into hands-on solutions and prototypes. You will use Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, agentic AI and other emerging techniques alongside traditional Data Science and Machine Learning methods.

You will work closely with partners across AIM, GCS Marketing, Product, Capabilities, Technology and other teams at American Express.

Key Responsibilities

• Develop hands-on Generative AI and Data Science solutions for complex, unstructured business problems across GCS.
• Design, build and experiment with LLM-powered solutions using prompt engineering, RAG, embeddings, semantic search and vector-based retrieval.
• Develop and test agentic AI workflows that reason over context, use relevant data and tools, and support analytical and business decisions.
• Build and apply evaluation approaches for GenAI solutions covering response quality, relevance, consistency and business effectiveness, with attention to responsible AI, controls and governance.
• Apply Machine Learning and statistical techniques alongside Generative AI to build fit-for-purpose solutions for acquisition, engagement, targeting, personalization, measurement and other opportunities.
• Explore structured and unstructured data from multiple sources to find relevant signals and turn data into actionable insights and AI-powered solutions.
• Prototype, test and refine emerging GenAI techniques, working with Technology, Capabilities and other partner teams to support scalable solutions.
• Evaluate emerging LLMs, GenAI techniques and frameworks for their fit with GCS business and analytical problems.
• Work with business partners and stakeholders to understand needs, structure analytical problems and translate them into suitable Data Science and GenAI approaches.
• Define analytical measures and success metrics, evaluate results and communicate findings, limitations and recommendations to technical and non-technical audiences.
• Contribute reusable GenAI approaches, analytical assets and learnings that can support applications across AIM.
• Show curiosity and a willingness to challenge the status quo, bringing new thinking to generate insights and business opportunities.

Shift Time: 1:30 PM - 9:30 PM IST

Qualifications

• Bachelor's or Master's degree in a quantitative or technical field such as Computer Science, Engineering, Mathematics, Statistics, Economics, Data Science, Artificial Intelligence or a related discipline.
• 0-3 years of relevant experience in Data Science, Machine Learning, Generative AI or Analytics, with hands-on Generative AI work through professional roles, internships, academic research or substantial projects.
• Strong Python programming and working knowledge of SQL to manipulate data, run analysis and build Data Science/AI solutions.
• Solid grounding in Data Science and Machine Learning, including statistical modeling, supervised and unsupervised learning, model evaluation and experimentation.
• Hands-on understanding of LLMs and core GenAI techniques such as prompt engineering and RAG, including embeddings, semantic retrieval and using context to improve LLM responses.
• Understanding of how to evaluate GenAI solutions for response quality, relevance, consistency and reliability.
• Strong analytical and conceptual thinking, with the ability to structure and solve unstructured, complex business problems.
• Ability and curiosity to learn quickly, experiment with and apply emerging AI techniques to practical business problems.
• Excellent written and oral communication, with the ability to explain technical concepts and analytical findings clearly.

Preferred Qualifications

• Hands-on exposure to agentic AI concepts and workflows involving tool use, reasoning or multi-step orchestration.
• Experience with GenAI/LLM frameworks and libraries such as LangChain, LangGraph, LlamaIndex, Hugging Face or equivalent tools.
• Experience with vector-based retrieval, semantic search, advanced RAG techniques or LLM evaluation frameworks.
• Familiarity with commercial and open-source LLMs and the factors involved in choosing suitable models for different use cases.
• Exposure to advanced GenAI techniques such as model fine-tuning, parameter-efficient fine-tuning or advanced retrieval approaches.
• Experience working with unstructured data or Natural Language Processing techniques.
• Familiarity with responsible AI principles and their application within enterprise or regulated environments.
• Interest in applying AI and GenAI to marketing, customer engagement, personalization, analytical productivity and business decision-making.

About the Company

American Express is built on a 175-year history of innovation, shared values and Leadership Behaviors, and a commitment to back its customers, communities and colleagues. The company delivers differentiated products and world-class customer service, operating with a strong risk mindset to uphold its brand promise of trust, security and service.

As part of Team Amex, employees receive comprehensive support for their holistic well-being along with many opportunities to learn new skills, develop as leaders and grow their careers. Your voice and ideas matter, your work makes an impact, and together you help define the future of American Express.