Lead Data Scientist

Overview

Lead Data Scientist role at Gartner building AI advisory, recommender and ML/NLP products for Gartner's events and digital platforms.

What you'll do

• Build and enhance AskGartner (Gartner's AI Advisor) with insights and capabilities from Gartner events, ensuring a seamless user experience between Events and Gartner.com digital platforms
• Build in-house agentic products and fine-tune LLMs to improve AskGartner and Gartner conferences' agentic products
• Build and optimize recommender systems for Gartner Global Conferences to improve user experience before, during and after a conference
• Build and roll out ML/NLP/deep learning models to improve attendee and exhibitor acquisition and retention
• Work closely with business to refine requirements around conferences business, build quick POCs, and present findings in a consumable report or Streamlit app
• Enrich the conferences client dataset by leveraging scraping, predictive and generative AI tooling and capabilities
• Improve MLOps capabilities by building and optimizing data pipelines, model monitoring and training capabilities
• Build evaluation frameworks to ensure product development is tied to metrics that can be measured offline
• Build automated solutions that help conferences business and strategy teams with analytics and insights for efficient decision making
• Work closely with business and engineering counterparts to develop and deploy production-grade micro-services, data pipelines and insight dashboards

What you'll need

• 8+ years of hands-on experience in data science
• Degree in computer science, statistics, mathematics or a related field
• Hands-on experience with GenAI development tools and frameworks such as LangGraph/LangChain and Langfuse
• Experience building recommender systems, search engines and query pipelines for end-user applications
• Experience building and deploying enterprise-grade machine learning, NLP, deep learning and AI agents in close collaboration with engineering and product managers
• Solid programming skills in Python, data science libraries (scikit-learn, TensorFlow/PyTorch, HuggingFace, etc.) and GenAI tools such as Claude Code and Copilot
• Experience building and deploying machine learning models in close collaboration with engineering, with a good understanding of CI/CD pipelines
• Hands-on experience with big data technologies (PySpark) and familiarity with cloud platforms (AWS, GCP, Azure) for working with complex datasets
• Strong ability to communicate technical concepts to non-technical audiences

Nice to have

• Master's or PhD (highly preferred)
• Experience leveraging and fine-tuning Large Language Models (LLMs) or building/distilling SLMs

Details

• Location: Gurgaon
• Hybrid work environment: virtual work when productive, with in-person collaboration at the office
• Job Requisition ID: 114007