Lead Data & AI Scientist

End Date

Sunday 21 June 2026

We Support Flexible Working – Click here for more information on flexible working options

Flexible Working Options

Hybrid Working

Job Description Summary

Why Lloyds Banking Group
Like the modern Britain we serve, we’re evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We’re growing with purpose. Join us on our journey and you will too.
About this Opportunity
Lloyds Banking Group puts customers at the heart of everything. Data & AI Science forms a key part of our strategy, and as a Lead Data & AI Scientist you will be contributing the largest ever transformation in this history of financial services.

Location: Hyderabad
Mode: Hybrid
Years Of Exp: 18-22 Years

Job Description

Key Activities / Responsibilities

As a Lead Data & AI Scientist, you will play a pivotal role in developing, operating, and maintaining machine learning solutions You will provide technical leadership, shape the capability roadmap, and ensure the delivery of high-quality models. Your role involves mentoring and guiding the data science team while fostering knowledge sharing and industry best practices.

Your role would include the following activities:

• AI Solution Design: Lead the development of AI use-case solution designs, balancing innovation with practicality. Apply appropriate data science techniques to develop and/or tune models and evaluate performance. 

• Project Delivery: Oversee the entire data science / AI delivery lifecycle, from data exploration to model development/tuning to deployment, monitoring, and performance optimisation using ML and AI Ops best practices. 

• Collaboration: Lead and work within cross-functional teams comprising of business leaders, product managers, data scientists, data engineers and ML/AI engineers 

• Responsible AI Governance: Partner with the Responsible AI team to embed robust ethical principles, bias mitigation techniques, and regulatory compliance into all AI development workflows. 

• Team Mentorship: Coach and mentor junior data scientists and AI engineers, helping to grow team capabilities and fostering a culture of continuous learning and curiosity. 

• Continuous Learning: Maintain an active view of emerging tools and techniques. Develop proof-of-concepts to demonstrate new capabilities. Guide the team in solving complex AI use cases and improving existing approaches. 

Recruitment Priority Skills

We're keen to speak to candidates with experience who have strong skills in :

Machine Learning : Experience to situationally assess and advise on the most appropriate Machine Learning solution to tackle existing and new scenarios. Troubleshoots and fixes model performance issues with the fitted models. Is able to use advanced methods such as forecasting, ensemble methods and model stacking.

Python:  Has an holistic understanding of Python and can make intuitive decisions in familiar contexts. Capable of implementing multi-threading and asynchronous programming using tools like threading and asyncio. Optimize performance using profiling tools and apply advanced debugging techniques.

AI Literacy: Designing workflows that integrate AI, anticipating AI behaviour, and adapts usage creatively. Coaches others and contributes to AI strategy discussions.

Foundation Model Application: Possesses extensive experience with Foundation Models. Understands the theoretical underpinnings of Foundation Models and engages in creative problem-solving using them. Can prioritise decisions effectively, balancing innovation with practicality to solve complex challenges.

Google Cloud Platform:  Capable of end-to-end delivery of products on GCP following standard architectures and templates. Takes key decisions on implementation.