Data Scientist, Lloyds
£70.9-78.8k
+ An annual performance-related bonus and Share schemes including free shares
2+ days a week in office (Bristol Harbourside)
Retail and commercial bank
Be an early applicant
Retail and commercial bank
1001+ employees
Be an early applicant
£70.9-78.8k
+ An annual performance-related bonus and Share schemes including free shares
2+ days a week in office (Bristol Harbourside)
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 building and deploying AI/ML solutions across the full lifecycle
- Proficiency in Python (NumPy, Scikit-learn, Pandas) and SQL
- Hands-on experience with deep learning frameworks like PyTorch, TensorFlow, or JAX
- Solid understanding of machine learning theory and statistical modelling
- Familiarity with MLOps/AI Ops practices for scalable, reliable deployment
- Strong communication and leadership skills, with a collaborative mindset
- Comfortable working in agile, cross-functional teams
Desirable
- Experience with Google Cloud Platform (GCP)
- Exposure to Natural Language Processing (NLP) techniques
- Familiarity with Generative AI tools, including LLMs and frameworks like LangChain or LangGraph
What the job involves
- You will join the Consumer Servicing & Engagement (CS&E) Platform, a team focused on delivering a unified digital servicing experience for personal customers on the device of their choice
- We aim to provide the best digital customer experience by increasing engagement and enabling seamless self-service
- Lead and build AI and ML solutions, including feature selection, model training and validation
- Prepare and explore data ahead of modelling and labelling
- Utilise a modern tech stack for data science, including python, microservices, google cloud platform and other tools
- Work closely with data and ML engineers to develop and scalably integrate modelling solutions
- Work closely with business stakeholders to ensure that data science solutions are designed in a manner that aligns with business needs
- Operate as part of a collaborative agile team where data scientists, architects, engineers, and other specialists support one another to deliver effectively
- Prepare documentation for publication and governance review in line with organisational standards for applying ML and AI solutions
- Apply the AI Principles, develop guardrails for customer facing AI based propositions
- Deploy and observe the MLOps and AI Ops pipelines to ensure operational reliability and compliance
Application process
- End Date: October 24, 2025
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 – including for its handling of PPI complaints in 2015, and the 2009 European Commission ruling that forced it to part ways with TSB – but it has nonetheless stood the test of time and worked to build back its public reputation in the wake of these setbacks.
Of the company’s 26 million customers, over 18 million of them are online, making it the largest UK digital bank. 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 current 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.
Recently, Lloyds Bank has shown great interest in facilitating innovation in the industry, joining as a partner on FinTech Action Labs (a FinTech accelerator programme) to bring its industry expertise to early-stage FinTechs. As well as investment in digital transformation and AI, the company is enhancing its wealth product and corporate banking offerings, 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, not founder)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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