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.
