About the Role:

Grade Level (for internal use):
11

Team:

As a lead data scientist in the EDO, Collection Platforms & AI - Cognitive Engineering team, you will own the technical direction of a large-scale entity resolution and linking
platform used across S&P; Global. This platform combines classical ML and GenAI techniques to power intelligent matching and linking services across multiple data domains, exposed as
production APIs and orchestrated through downstream workflow systems. You will set technical strategy, champion the adoption of LLMs and agentic AI across the platform, architect its
evolution, mentor senior and junior data scientists, and be the final technical authority on design decisions across the codebase. You will work in a truly global team and be expected to
drive thoughtful risk-taking, cross-team alignment, and technical/AI innovation.

What's in it for you:
- Own the technical vision for an enterprise-scale AI/ML platform used across S&P; Global
- Be the org's go-to authority on LLMs and agentic AI,



with room to prototype and productionize novel approaches
- Lead, grow, and set technical direction for a highly skilled team of data scientists and engineers
- Architect solutions to the highest-complexity, highest-impact problems in the org, end-to-end
- Have final say on architecture, tooling, and technical trade-offs for a multi-domain production system

Responsibilities:
- Own the end-to-end technical architecture of the platform, including its API service layer, asynchronous distributed task orchestration, and multi-domain model registry
- Set the AI/ML roadmap across both classical ML (gradient boosting, embedding-based similarity, fuzzy/probabilistic matching) and GenAI approaches (LLM-based extraction, prompt engineering,
fine-tuning/customization, agentic and multi-agent workflows)
- Champion innovation with agentic workflows: design, prototype, and productionize multi-step, tool-using LLM agents that can plan, reason, call tools/APIs, and

📌 Lead Data Scientist (Hyderabad)
🏢 S&P Global
📍 Hyderabad