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Data Science Manager

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Lloyds Bank plc
Full Time position
Listed on 2026-02-17
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer
Salary/Wage Range or Industry Benchmark: 89739 - 99710 GBP Yearly GBP 89739.00 99710.00 YEAR
Job Description & How to Apply Below
Location: Greater London

** End Date
** Friday 27 February 2026
** Salary Range**£89,739 - £99,710
** Flexible Working Options
** Hybrid Working, Job Share
** Job Description Summary**.
** Job Description
***
* JOB TITLE:

** Data Science Manager
** SALARY:** £89,739 - £99,710
** LOCATION(S):
** London & Bristol
*
* HOURS:

** Full time
** WORKING PATTERN:
** 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.
** About this opportunity
** 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:
* 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.
** Why Lloyds Banking Group
** 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’s empowering its people to innovate, explore possibilities and grow with purpose.
** What you’ll need
*** 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 product ionise 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…
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