Senior Data Engineer

Location: Hyderabad Knowledge Park Tower 2

End Date

Friday 30 October 2026

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

Flexible Working Options

Hybrid Working

Job Description Summary

• Role Title: Senior Data & AI Scientist
• Location: Hyderabad
• Role Type: Hybrid
• hy 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 an Senior Data & AI Scientist you will be contributing the largest ever transformation in this history of financial services.

As a Senior Data & AI Scientist, you will lead the development of advanced machine learning models and AI applications. You will work in multidisciplinary teams to explore problem statements, experiment with different approaches, and develop industrialized applications. Your role also involves mentoring junior colleagues and ensuring the delivery of high-quality data science products.

Your role would include the following activities

• Design and implement solutions using foundation models (e.g., GPT, PaLM, Claude, Gemini) for tasks such as summarization, Q&A, classification, and generation.
• Evaluate model performance, fine-tune pre-trained models, and apply prompt engineering techniques.
• Build and deploy autonomous agents capable of reasoning, planning, and interacting with APIs or tools to complete tasks.
• Develop and deploy supervised and unsupervised ML models using scalable pipelines.
• Integrate ML models into production environments using CI/CD and containerization tools.
• Build robust, modular Python applications for data processing, model training, and inference.
• Collaborate with Machine Learning Engineers to ensure seamless integration of AI solutions.
• Lead code reviews and mentor junior developers on best practices.
• Use cloud-native tools (Google Cloud Preferred) for data storage, model training, and orchestration (e.g., Vertex AI, BigQuery, Cloud Functions).
• Mentor junior data scientists and engineers in AI techniques and best practices.
• Collaborate cross-functionally to align AI initiatives with strategic goals.