End Date
Wednesday 28 January 2026Salary Range
£72,702 - £80,780We support flexible working – click here for more information on flexible working options
Flexible Working Options
Job ShareJob Description Summary
.Job Description
Job Title: Senior Data Scientist
Salary: £70,929 – £86,691
Location: Manchester
Hours: Full time
Working Pattern: Hybrid, 40% (or two days) in an office site
About us
Like the modern Britain we serve, we’re evolving. Investing billions in our people, data and tech to transform the way we meet the everchanging 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 is the UK’s leading digital franchise, with over 13 million active online customers across our three main brands - including Lloyds Bank, Halifax and Bank of Scotland - as well as the biggest mobile bank in the country. We're building the bank of the future, and we need your help.
The Hive Lab has a clear purpose – to ‘unleash Agentic Intelligence and transform Operating Models with Autonomous AI Workflows’ and is committed to focussing on the latest technologies in the market and pushing the boundaries on the art of the possible through constant innovation.
As a Senior Data Scientist in the lab, you’ll lead the development of advanced AI-driven solutions—leveraging deep expertise in data science, Language Models, and Generative AI within a cloud-native ecosystem. You’ll design and implement scalable models, drive experimentation, and collaborate closely with engineering teams to transform cutting-edge research into production-ready capabilities.
What you’ll do
Hands-on experience with specialised agentic frameworks such as LangGraph or CrewAI.
Exposure to Google Cloud Platform (GCP) tooling, particularly Vertex AI and BigQuery.
Experience in designing and analysing A/B tests or other controlled experimentation methods.
Familiarity with Reinforcement Learning with Human Feedback (RLHF) or similar techniques for iterative model improvement.
Experience working within regulated environments and a strong understanding of model risk management.
What you’ll need
Experience in a quantitative field such as Computer Science, Statistics, Engineering, or Mathematics.
Extensive hands-on experience in data science, with a proven track record of architecting and deploying machine learning models into production environments.
Proficiency in Python (including pandas, NumPy, scikit-learn, PyTorch/TensorFlow) and SQL.
Proven expertise across the full software development lifecycle for machine learning, including API development and deploying containerized models.
Deep understanding of both supervised and unsupervised learning, with applied experience in areas such as Natural Language Processing (NLP), classification, or anomaly detection.
Strong knowledge of agentic AI architectures, multi-step reasoning frameworks, and autonomous systems.
Practical experience in operationalizing LLMs, including fine-tuning, evaluation, and integration into production workflows.
Expertise in model interpretability, bias detection techniques, and delivering solutions that enforce strict governance and compliance standards.
Proficiency with MLOps frameworks (e.g., MLflow, Kubeflow) and version control systems (Git).
It would be great if you have:
Hands-on experience with specialised agentic frameworks such as LangGraph or CrewAI.
Exposure to Google Cloud Platform (GCP) tooling, particularly Vertex AI and BigQuery.
Experience in designing and analysing A/B tests or other controlled experimentation methods.
Familiarity with Reinforcement Learning with Human Feedback (RLHF) or similar techniques for iterative model improvement.
Experience working within regulated environments and a strong understanding of model risk management.
About working for us…
Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms.
We want our people to feel that they belong and can be their best, regardless of background, identity or culture.
We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative.
And it’s why we especially welcome applications from underrepresented groups.
We’re disability confident. So, if you’d like reasonable adjustments to be made to our recruitment processes, just let us know.
We also offer a wide ranging benefits package, which includes…
A generous pension contribution of up to 15%
An annual bonus award, subject to Group performance
Share schemes including free shares
Benefits you can adapt to your lifestyle, such as discounted shopping
30 days’ holiday, with bank holidays on top
A range of wellbeing initiatives and generous parental leave policies
If you’re excited by the thought of becoming part of our team, get in touch. We’d love to hear from you!
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.