3. Provide leadership of key policy projects deploying the latest data science and AI tools

• Act as senior data scientist on key policy projects, driving delivery through others and ensuring policy-relevant analytical insights. For example, current projects in FSSR include setting up a LLM tool that extracts supervisory intelligence and setting up a dashboard of core financial stability vulnerability metrics.
• Provide senior technical leadership and advice across a range of projects in the area, including policy projects and innovation experiments.

4. As Lead Data Scientist in FSSR, support the professional development of staff

• Provide leadership to the small but growing pool of data scientists across divisions, acting as a senior mentor and technical authority. Through a matrix management model, support practitioners’ objectives and professional career development. Over time, there may also be opportunities to line manage staff including on key projects.
• Provide technical support and guidance to a broader pool of analysts, to support the development of their data science and AI skillsets. This includes coaching on applying new methodologies, tools, and delivery challenges.
• Strengthen the existing FSSR staff data science and AI networks and establish a mechanism for coordinating delivery of FSSR’s strategic priorities. Embed best practices in coding, modelling and documentation across divisions in the area while fostering a supportive community.
• Drive data science and AI capability across the directorate by delivering structured training that equips both specialists and non-specialists with the skills to use data and AI effectively in their roles.

5. Lead and deliver FSSR’s Data & AI strategy as part of the broader DGFS agenda

• Lead and deliver the strategy for how data science and AI can support financial stability analysis in FSSR. For example, this year’s priorities include planning cloud migration, driving automation leveraging data science/AI tools, upskilling staff, closing data gaps and streamlining data collection.
• Engage with seniors and staff to understand their needs and ensure solutions are aligned and effective.
• Act as the primary technical contact for DAT, Technology and cross-Bank initiatives related to AI, cloud platforms, data engineering and analytical tooling. And seek to influence bank-wide strategy on these initiatives.
• Act as the senior manager representative on the DGFS Data & Analytics Group. Shape cross-governorship and directorate alignment on cloud data tooling, model deployment and coding standards.
• Represent FSSR and DGFS in a range of cross-Bank communities on cloud, data science tools and AI.

Role Requirements

Minimum criteria

• Advanced technical expertise in data science, machine learning or data engineering, including experience with Python and/or R.
• Strong understanding of cloud-based technologies and solutions (Azure and Databricks preferred), DevOps practices and API-driven architectures.
• Experience of large language models (LLMs), generative AI technologies including AI agents and their practical applications.
• Proven experience leading analytical projects that leverage large and complex datasets, applying data science, machine learning and AI techniques to derive actionable insights and support policy.

Essential criteria

• Experience delivering business change and production-ready pipelines through new data and technology systems. A strong understanding of organisational data and AI transformation.
• Ability to lead multidisciplinary technical projects and teams, with the ability to set strategy and technical direction, manage staff during a project and deliver results in ambiguous, fast-moving environments.
• Strong communication and stakeholder engagement skills, able to translate complex technical concepts for senior non-technical audiences, influence governance and strategic decisions, and build relationships across staff.

Desirable Criteria

• Experience of building cloud-based analytical solutions and delivering the implementation of a new data platform and analytics capabilities within a large or complex organisation.
• Experience working within central bank, financial services or complex public-sector environments.

Our Approach to Inclusion

The Bank values diversity, equity and inclusion. We play a key role in maintaining monetary and financial stability, and to do that effectively, we believe we need a workforce that reflects the society we serve.

At the Bank of England, we want all colleagues to feel valued and respected, so we're working hard to build an inclusive culture which supports people from all backgrounds and communities to be at their best at work. We celebrate all forms of diversity, including (but not limited to) age, disability, ethnicity, gender, gender identity, race, religion, sexual orientation and socioeconomic status. We believe that it’s by drawing on different perspectives and experiences that we’ll continue to make the best decisions for the public.

We welcome applications from individuals who work flexibly, including job shares and part time working patterns. We've also partnered with external organisations to support us in making adjustments for candidates and employees in the recruitment process where they're needed.

For most roles where work can be carried out at home, we aim for colleagues to spend half of their time in the office, with a minimum of 50% per month. Subject to that minimum requirement, individuals and managers should work together to find what works best for them, their team and stakeholders.

Finally, we're proud to be a member of the Disability Confident Scheme [https://www.gov.uk/government/publications/disability-confident-guidance-for-levels-1-2-and-3/level-2-disability-confident-employer]. If you wish to apply under this scheme, you should check the box in the ‘Candidate Personal Information’ under the ‘Disability Confident Scheme’ section of the application.

Salary and Benefits Information

We encourage flexible working, part time working and job share arrangements. Part time salary and benefits will be on a pro-rated basis as appropriate.

The salary range is from £97,920 - £110,160. In addition, we also offer a comprehensive benefits package as detailed below:

• Currently a non-contributory, career average pension giving you a guaranteed retirement benefit of 1/80th of your annual salary for every year worked. There is the option to increase your pension (to 1/65th) or decrease (to 1/105th) in exchange for salary through our flexible benefits programme each year. The Bank has the discretion to vary standard accrual rates and dial up and dial down rates