Senior AI Data Scientist — Hybrid, Data-Driven Innovation

Lloyds Bank plc; West of England; Hybrid; GBP 73,000 - 88,000; Full time

Benefits offered by this job

30 days holiday

Generous pension

Flexible/hybrid working

Wellbeing support

Colleague benefits

Job summary

Lloyds Banking Group is seeking a Senior AI Data Scientist to advance agents and analytics across enterprise-grade systems. You will design experiments, evaluate techniques, and translate research into practical recommendations for business value.

The role combines rigorous methods, Python development, and collaboration with stakeholders to shape the future of conversational analytics and knowledge-driven decision support at scale.

Qualifications

• Strong knowledge of retrieval methods, search strategies and retrieval-augmented generation (RAG) architectures.

Responsibilities

• Designing and conducting research into retrieval, semantic and agentic approaches for analytical reasoning and decision support.
• Building benchmarks, evaluation frameworks and experimental methodologies to assess AI solutions objectively.
• Prototyping and evaluating AI capabilities using Python, data analysis and large language model technologies.
• Producing technical evaluations, comparative assessments and research outputs that inform technology decisions.
• Developing design patterns for conversational analytics and agentic analytics experiences.
• Collaborating with stakeholders to translate research findings into practical recommendations for enterprise adoption.

Skills

Retrieval methods

LLM architectures

Evaluation frameworks

SQL

Python

Knowledge graphs

Data analysis

Ontology design

Tools

BigQuery

Teradata

Job description

Lloyds Banking Group is seeking a Senior AI Data Scientist to advance agents and analytics across enterprise-grade systems. You will design experiments, evaluate techniques, and translate research into practical recommendations for business value.

The role combines rigorous methods, Python development, and collaboration with stakeholders to shape the future of conversational analytics and knowledge-driven decision support at scale.