Data Science Manager

Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites.

At Lloyds Banking Group, we have a clear purpose; to help Britain prosper and to become the best Financial Services provider for our customers.

Like the modern Britain we serve, we're evolving. Investing billions in our people, data and tech to transform the way we meet the ever-changing needs of our 26 million customers. We're growing with purpose.

We're looking for someone to join as a Data Science Manager within our innovative, collaborative and highly-skilled AI, Data & Engineering team in Group Audit (GA).

At GA, we see AI as integral to our mission of supporting our purpose and strategy. We have a strategic commitment to harness cutting‑edge AI and cultivate an AI‑fluent function. In this role, you will have an opportunity to perform a hands‑on and multifaceted role within a skilled and supportive team of data scientists and engineers who are highly visible to senior management, with exposure to the entire Group.

You will have a passion for data science and engineering on GCP, strong customer focus, and interest in learning about internal audit.

The successful candidate will work across all stages of the data science lifecycle from problem identification to designing and implementing applications that use AI & ML techniques. These will support delivery of our audit plan, provide insights, and drive innovation within Group Audit.

You will have the opportunity to:

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• Lead multiple data science and application development projects concurrently with great autonomy. Programming tasks will include designing, implementing, and delivering applications, as well as creating data models and data pipelines in a mixed on‑premises and Google Cloud Platform environment.
  
• Design, build, test, and deploy robust AI/ML and generative AI systems, including cloud‑native architectures.
  
• Ensure solutions are scalable, secure, and production‑ready within enterprise frameworks.
  
• Diagnose complex issues and deliver high‑quality technical solutions aligned to best practices and standards.
  
• Produce specifications, testing approaches, and documentation to support reliable and consistent delivery.
  
• Lead other team members and manage stakeholders, acting as a project lead and applying agile project management and software development best practices.
  
• Work collaboratively across the audit function to identify innovative opportunities to apply data science techniques for business monitoring, audit planning, and audit delivery.
  
• Acquire sufficient levels of auditing and business knowledge, positively impacting the quality of GA's assurance work.
  
• Communicate technical concepts in plain, simple language that is easy for non‑technical stakeholders to understand.
  
• Answer queries and provide support to end users for existing utilities.
  

If you think all banks are the same, you'd be wrong. We're an innovative, fast‑changing business that's shaping finance as a force for good. A bank that empowers its people to innovate, explore possibilities and grow with purpose.

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• Experience leading application development and data science projects, involving techniques such as generative AI, machine learning and natural language processing.
  
• Experience designing and implementing infrastructure on Google Cloud Platform.
  
• The ability to productionise data and AI models for non‑technical users while applying best practices in software development and ensuring that key data science, engineering, and programming concepts are applied.
  
• Proven ability to translate data science and AI capabilities into measurable business value.
  
• Experience at managing peers or more junior colleagues on projects, holding colleagues accountable, ensuring the quality and timeliness of the project delivery, and fostering a culture of collaboration and continuous improvement.
  
• Managing stakeholders, communicating in a way that a lay audience can understand.
  
• Supporting colleague development with training, coaching and feedback as appropriate to upskill the team and the wider function.
  
• Proficient with mainstream data science programming languages, such as Python, and the use of data analytics tools such as SQL and PowerBI.
  
• Reviewing complex code and familiarity with version control.
  
• Experience in web application development (Django, Bootstrap, jQuery) is desirable.
  
• Previous financial services, audit or risk experience is an advantage.
  

Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we're 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 a dedicated Working with Cancer Initiative.

We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with 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.

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• A generous pension contribution of up to 15%
  
• An annual performance‑related bonus
  
• 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!