Analyst-Data Analytics (Agentic)
American Express (company site, opens in a new tab)0–3 yrsGurugramOn-siteDirect career pageEst. 8–18 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and apply advanced Data Science and Generative AI solutions across Global Commercial Services to address business challenges such as customer acquisition, engagement, personalization, and marketing measurement.
- Lead hands-on creation of prototypes using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, agentic AI, and traditional ML techniques.
- Collaborate cross-functionally with teams in marketing, product, technology, and analytics to translate AI opportunities into practical business applications.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Data Science, AI, or related quantitative/technical field.
- 0–3 years of relevant experience in Data Science, Machine Learning, Generative AI, or Analytics with demonstrable hands-on Generative AI development experience (professional, internship, research, or substantial projects).
- Proficient programming skills in Python and working knowledge of SQL for data manipulation and AI solution development.
- Strong foundation in Data Science/ML concepts and hands-on understanding of LLMs, prompt engineering, RAG, and GenAI evaluation metrics.
Ideal Candidate Profile
- Experienced in applying advanced GenAI techniques including agentic AI workflows and tool orchestration, with familiarity using frameworks like LangChain, Hugging Face, or similar.
- Comfortable working with unstructured data, NLP techniques, and implementing responsible AI principles in enterprise or regulated environments.
- Strong orientation towards solving complex business problems using AI, capable of rapidly learning and experimenting with emerging AI tools to impact marketing, personalization, and analytical productivity.