Data Scientist, Lloyds
Security Data & AI Lab
£49-54.4k
+ Bonus & share schemes
2+ days a week in office
Retail and commercial bank
Be an early applicant
Retail and commercial bank
1001+ employees
Be an early applicant
£49-54.4k
+ Bonus & share schemes
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 delivering data science or analytics projects from problem definition through to implementation, with the ability to articulate measurable business impact
- Solid understanding of machine learning and the underlying statistics
- Knowledge of foundational model systems and frameworks / best practices for building agents
- Experience using Python and common data science libraries such as pandas, scikit-learn, NumPy and visualisation frameworks
- Strong SQL skills with experience querying and transforming large datasets, ideally using platforms such as BigQuery, Snowflake, or similar 'big data' warehouses
- Effective communication skills, with the ability to explain technical concepts and analytical findings to both technical and non-technical audiences
- Working knowledge of Cloud platforms and infrastructure
- Strong problem-solving skills and a structured approach to turning business challenges into data-driven solutions
- Curious and innovation-focused, driven to stay current with industry developments
- We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply
What the job involves
- This role sits within the Chief Security Office, whose job is to ensure customers, colleagues, and assets are safe from threat. Data and AI are key drivers of this work, and the Security Data & AI Lab plays a critical role. You'll help transform how threats are detected, mitigated, and prevented using advanced machine learning and agentic systems in one of the UK's most data-rich environments
- Collaborate with data engineers, DevOps engineers, and domain experts to deliver solutions across many branches of security
- Work with internal customers and stakeholders to convert business problems into data science solutions
- Integrate solutions into existing systems and processes through MLOps and model explainability, ensuring model insights are actionable
- Grow your domain knowledge in Security, one of the most important fields of the future
- Build and maintain both traditional machine learning and agentic systems
- Contribute to the growth of data science understanding through demonstrations and show-and-tells for audiences with varying levels of prior knowledge
- Participate in team ceremonies to better understand the work through planning, commit to clear, achievable goals, drive appropriate prioritisation, escalate impediments, and manage external dependencies effectively
Application process
- End Date: November 13, 2026
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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