Senior AI Data Scientist
AI in this role
End Date
Sunday 11 October 2026Salary Range
£72,702 - £80,780We support flexible working – click here for more information on flexible working options
Flexible Working Options
Hybrid Working, Job ShareJob Description Summary
.Job Description
Senior AI Data Scientist
SALARY: £72,702 - £88,000
LOCATION: Bristol
HOURS: Full time
WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of your time, at the above office location
About this opportunity
We're looking for a Senior AI Data Scientist to investigate and evaluate techniques that improve analytical reasoning and decision-making. You'll help shape the future of agentic analytics by designing rigorous experiments, evaluating emerging approaches, and producing evidence-based recommendations that support enterprise adoption.
Key responsibilities include:
- 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.
About us / Why Lloyds Banking Group
Like the modern Britain we serve, we're evolving. Investing in people, technology and data is central to our strategy, helping us create better outcomes for our customers, colleagues and communities.
You'll join a team focused on exploring how emerging AI capabilities can deliver meaningful business value through evidence-based research, experimentation and innovation. In return, you'll have the opportunity to work on challenging problems, influence strategic decisions and help shape the future direction of analytics and AI.
What you'll need
- Strong knowledge of retrieval methods, search strategies and retrieval-augmented generation (RAG) architectures.
- Understanding of large language model architectures, reasoning techniques and agentic systems.
- Experience designing evaluation frameworks and applying experimentation and statistical methods to assess outcomes.
- Strong SQL and data analysis skills, including experience with platforms such as BigQuery, Teradata or equivalent technologies.
- Research methodology expertise, including literature reviews and hypothesis-driven experimentation with the ability to interpret and apply research findings.
- Python development and AI prototyping skills.
And any experience of this would be really useful
- Knowledge of semantic layers and metrics modelling.
- Experience of ontologies, knowledge representation, taxonomy development and metadata design.
- Exposure to knowledge graphs, graph-based reasoning concepts, NL2SQL, Text-to-SQL, conversational analytics, dialogue with data approaches, or enterprise data architecture and data product concepts.
This is a place for you...
Our ambition is to be the leading UK business for diversity, equity and inclusion, supporting our customers, colleagues and communities. We are committed to creating an environment in which everyone can thrive, learn and develop.
We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and launch a dedicated Working with Cancer initiative.
We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. As a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role and have a disability, long-term health or neurodivergent condition, through the Disability Confident Scheme.
We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers - just let us know what you need.
Benefits
- 30 days' holiday, with bank holidays on top.
- A generous pension contribution.
- Flexible and hybrid working options.
- Access to wellbeing support and development opportunities.
- A range of colleague benefits designed to support you both inside and outside of work.
Ready to make an impact? Apply today.
At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.
We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.
We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
How we rate this
Senior AI Data Scientist at Lloyds Banking Group rates 91 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: RAG. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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