Senior Data Scientist, Lloyds
£72.7-80.8k
+ An annual bonus award, subject to Group performance + Share schemes including free shares
2 days a week in office
Retail and commercial bank
Be an early applicant
Retail and commercial bank
1001+ employees
Be an early applicant
£72.7-80.8k
+ An annual bonus award, subject to Group performance + Share schemes including free shares
2 days a week in office
1001+ employees
Company mission
To support families and businesses, helping them to take the next step, whatever that may be.
Role
Who you are
- 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)
Desirable
- 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 the job involves
- 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
- 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
Our take
Lloyds Bank, part of Lloyds Banking Group, began operations back in 1765 and is nowadays one of the UK’s leading retail and commercial banks. As with many leading banks, the company has dealt with its share of controversy, but it has nonetheless stood the test of time and worked to build back its public reputation in the wake of these setbacks.
As part of its ongoing digital transformation, the company is seeking to put the cloud at the front of its services and systems, and has cited intentions to invest heavily in overhauling its technology infrastructure. All this seeks to serve the modern banking customer, and to compete with the fast-increasing number of alternative banking options appearing on the market.
On top of this, Lloyds Bank has shown great interest in facilitating innovation in the industry, joining as a partner on "FinTech Action Labs" to bring its industry expertise to early-stage FinTechs. The company continues to enhance its online and mobile services (it is the UK's biggest mobile bank), as well as expanding its partnerships with digital banking companies.
Steph
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Company benefits
- Flex cash: This is 4% of your basic salary and can be used to spend on the benefits of your choice, or you can choose to take it as a cash top up in your monthly salary.
- A generous holiday allowance: You’ll be eligible for a minimum of 22 days holiday (excluding bank holidays), rising to 30 days based on length of service and grade.
- A flexible way of working: Whether you want flexibility over your location or when you log on, together we can create an approach that works for you and for the business.
- Family leave: Up to 63 weeks of maternity or adoption leave. Statutory maternity or adoption pay is available for 39 weeks, and 20 weeks will be enhanced to the equivalent of full pay. Partners can have six weeks of fully paid paternity leave.
- Health insurance: Our company funded Private Medical Benefit provides all colleagues with access to good quality medical care, including accommodation, nursing care and specialist advice.
- Colleague Offers: Get discounts on everything from electrical items to cinema tickets and weekly food shopping. You can share this benefit with up to ten family members or friends.
- Financial products: Take advantage of our great financial products, some at a discounted rate, including current accounts, home and car insurance and loans.
- Share plans: Participate in Sharematch and receive matching shares of up to £45 a month from the company, and you can choose to participate in Sharesave, our combined savings and share option plan.
- Pension: We offer a generous pension plan, with all joiners being automatically enrolled in our 'Your Tomorrow' scheme. You can decide how much you save and get a say in where your contributions are invested.
Company HQ
City of London, London, UK
Leadership
Charlie Nunn
(Group Chief Executive)Spent nine years at HSBC, including as Group Head of Wealth Management and Digital, and as CEO of Wealth and Personal Banking.
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