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 WorkingJob 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

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.

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.