Lead Data and AI Scientist

Job description

**End Date** Sunday 30 August 2026 **We Support Flexible Working – Click here for more information on flexible working options** **Flexible Working Options** Hybrid Working **Job Description Summary** Job Family: Data Science & AI > Data & AI Scientists Business Title: Data Science & AI Engineering Lead Grade: F Location: Hyderabad, Lloyds Technology Center Department: AI Centre of Excellence (CDAO) YOE: 18+ Years Role Overview We are seeking a hands-on lead Data & AI Scientist to drive the development and scaling of AI-powered solutions across the enterprise. This role is pivotal in shaping the technical direction of our AI/ML initiatives, mentoring talent, and delivering high-impact outcomes through cutting-edge technologies including GenAI, autonomous agents, advanced NLP, and machine learning. **Job Description** **Role Overview** We are seeking a hands-on lead Data & AI Scientist to drive the development and scaling of AI-powered solutions across the enterprise. This role is pivotal in shaping the technical direction of our AI/ML initiatives, mentoring talent, and delivering high-impact outcomes through cutting-edge technologies including GenAI, autonomous agents, advanced NLP, and machine learning. **Key Responsibilities** *Technical Leadership & Strategy* - Lead the design, incubation, and scaling of AI/ML solutions that solve complex business problems. - Architect and implement GenAI-powered systems, including Retrieval-Augmented Generation (RAG) pipelines and autonomous agents. - Evaluate and integrate open-source and proprietary LLMs, optimising for performance and business value. *Solution Delivery* - Translate business requirements into robust, scalable AI/ML solutions. - Collaborate with cross-functional teams to ensure seamless integration of AI capabilities into products and platforms. - Drive experimentation, rapid prototyping, and iterative development. *Team Development & Mentorship* - Guide and mentor data scientists, ML engineers, and junior developers. - Foster a culture of technical excellence, innovation, and continuous learning. *Operational Excellence* - Partner with CoE leaders to participate and improve delivery processes, resource allocation, and prioritisation frameworks. - Establish best practices for model development, deployment, monitoring, and governance. **Required Skills & Experience** - Strong foundation in statistics, machine learning, and deep learning. - Proven experience in building and deploying GenAI solutions using frameworks like LangChain, LangGraph, or similar. - Expertise in Natural Language Processing (NLP), including semantic search, entity recognition, and text generation. - Hands-on experience with LLMs (e.g., GPT, LLaMA, Claude, Mistral) and fine-tuning/customisation techniques. - Ability to design and implement autonomous AI agents capable of observation, planning, reasoning, and action. - Proficiency in analysing large datasets to identify trends, model improvements, and optimisation opportunities. - Familiarity with MLOps/AIOps practices and tools for scalable model deployment and lifecycle management. **Preferred Qualifications** - Advanced degree (MSc/PhD) in Computer Science, Data Science, AI/ML, or related field. - Experience in cloud platforms (Azure, AWS, GCP) and containerisation (Docker, Kubernetes). - Knowledge of enterprise AI governance, ethical AI, and model interpretability.