Lead Data Scientist (Agentic AI, RAG, GenAI/LLM, Classical ML)

About the role

Gartner is looking for a Lead Data Scientist in Gurgaon to lead high-impact data science initiatives that turn diverse data into actionable insights and decision support. The role combines hands-on technical leadership with collaboration across cross-functional stakeholders, and sits within Gartner's focus on AI.

Key responsibilities

• Extract, interpret and visualise insights from large volumes of structured and unstructured data
• Design and implement solutions using machine learning, deep learning and generative AI
• Innovate in text analytics and build text analytics and knowledge retrieval capabilities for large-scale unstructured data
• Own high-visibility programs that deliver measurable results such as improved engagement, retention and cost efficiency
• Define standards for evaluation, guardrails, prompt engineering, retrieval quality and hallucination control
• Enforce best practices in documentation, code reuse and model lifecycle management
• Ensure responsible AI practices covering data privacy, IP, safety and auditability
• Mentor and develop a team of data scientists

Required profile

• Bachelor's or Master's degree in computer science, engineering, statistics, mathematics or a related field
• 8+ years overall in data science/AI/ML roles, with 6+ years hands-on applying ML/DL, NLP and LLMs to real business problems
• Experience analysing unstructured data and building scalable solutions
• Ability to foster innovation and drive adoption of next-generation AI tools

Required skills

• Python, SQL, Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, SpaCy, NLTK
• Agentic AI, RAG pipelines, LLMs, prompt engineering and evaluation frameworks
• Vector databases (e.g. FAISS, pgvector), knowledge databases, embeddings, feature stores
• AWS, Azure or GCP, and familiarity with Spark/Databricks
• Visualization in Excel, Power BI or Streamlit

What we offer

• Competitive salary and generous paid time off
• Charity match program, group medical insurance and parental leave
• Employee assistance program (EAP)
• Hybrid work option, professional development and unlimited growth opportunities