Lead Data Scientist, Data Science
About the role
National Grid is hiring a Lead Data Scientist for its Syracuse, Brooklyn, Hicksville NY or Waltham MA office. This is a hybrid role with work‑from‑home availability. The Customer Performance Lab seeks a highly motivated Lead Data Scientist to lead the next generation of AI‑enabled analytics solutions across the Customer Organization. The role focuses on applying Generative AI, machine learning, semantic modeling, and enterprise data platforms to transform how business users consume insights, interact with data, and make decisions. The incumbent will develop AI‑powered analytics solutions that leverage customer operational data, call transcripts, knowledge stores, and semantic layers to deliver scalable business value, and will partner closely with Customer Operations, IT, and Business Transformation teams to drive AI adoption and modernize the analytics experience.
Responsibilities
- Design, develop, and optimize Retrieval‑Augmented Generation (RAG) solutions that combine AI models with enterprise knowledge stores, semantic layers, and operational data to improve response accuracy and business relevance.
- Build and maintain AI knowledge architectures, including metadata frameworks, vector stores, business glossaries, semantic models, and contextual data repositories that enable AI systems to understand Customer Operations data and processes.
- Develop reusable AI skills, agents, copilots, and prompt frameworks that automate analytical workflows, KPI interpretation, root cause analysis, dashboard generation, and insight discovery.
- Lead AI cost optimization initiatives by leveraging knowledge stores, retrieval patterns, caching strategies, model selection, and token management techniques to reduce operational expenses while maintaining performance.
- Partner with engineering teams to deploy AI capabilities into business applications, dashboards, and web‑based solutions.
Qualifications
- Bachelor’s, Master’s, or PhD in Data Science, Computer