Lead Data & AI Scientist

**End Date** Thursday 06 August 2026 [**We Support Flexible Working – Click here for more information on flexible working options**](http://www.lloydsbankinggroup.com/careers/culture-and-inclusion/agile-working.html) **Flexible Working Options** Hybrid Working **Job Description Summary** Leads the desigining of patterns, tooling, and templates to rapidly and efficiently deploy models into production. Scales AI/ML solutions on strategic infrastructure and integrating them into existing systems. Acts as a point of technical expertise and thought leadership, and provides line management and/or coaching to grow team capability. **Job Description** Exp : 15+ years Location : Hyderabad   We are looking for a **hands-on Lead Data & AI Scientist** to drive the design, development, and scaling of AI-powered solutions across the enterprise. This role will shape our AI/ML strategy, mentor high-performing teams, and deliver impactful outcomes using cutting-edge technologies like **GenAI, autonomous agents, NLP, and advanced ML**. ### 🔹 What You’ll Do * Lead end-to-end development of scalable AI/ML solutions for complex business problems * Design and implement **GenAI systems** (RAG pipelines, autonomous agents) * Evaluate and optimise **LLMs** (GPT, LLaMA, Claude, Mistral) for business use cases * Collaborate with cross-functional teams to integrate AI into products/platforms * Drive experimentation, rapid prototyping, and continuous innovation * Mentor data scientists and engineers, fostering a culture of excellence * Establish best practices for **MLOps, governance, and model lifecycle management** ### 🔹 What We’re Looking For * Strong foundation in **Statistics, Machine Learning, and Deep Learning** * Hands-on experience with **GenAI frameworks** (LangChain, LangGraph, etc.) * Expertise in **NLP** (semantic search, NER, text generation) * Experience building and deploying **LLM-based solutions** and fine-tuning models * Ability to design **autonomous AI agents** (planning, reasoning, action) * Proven experience working with large datasets and scalable AI systems * Exposure to **MLOps/AIOps** for production-grade deployments