Senior Manager – Data Science and Engineering Team
Leeds, United Kingdom
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Full Time Senior-level / Expert Clearance required GBP 95K - 122K
Bank of England
The Bank of England (BoE) is the UK's central bank. Our mission is to deliver monetary and financial stability for the people of the United Kingdom.The Monetary Policy Transformation Directorate
The Monetary Policy Transformation (MPT) Directorate was set up to lead a major project, responding to external advice on how the Bank of England can improve the way it supports monetary policy. The main goal is to help set and explain monetary policy more clearly, so the UK economy can achieve better results. MPT works closely with the Monetary Analysis (MA) Directorate, which provides expert analysis and advice to help the Monetary Policy Committee (MPC) decide how to keep inflation under control.
Monetary Policy Processes Division (MPPD)
MPPD is a new group built as part of the MPT project. We are responsible for designing and overseeing the processes that support monetary policy setting, working in conjunction with the relevant analytical divisions and areas. This means developing organisational and technology-based solutions that ensure that MPC decision-making is supported in the most effective and efficient way on a sustained basis.
Job description
We are looking for an experienced data scientist leader to head our new Data Science and Engineering Team and help shape the strategic direction and delivery of data science across monetary policy. This is an exciting opportunity to build and lead a high-performing team and play a key role in modernising our use of data and analytics to support the MPC. The person who takes on this role will have a real opportunity to shape how things are done, making a big difference now and in the future. As the senior manager you will:
· Lead the vision and strategy for how data science can support monetary policy
· Build and manage a diverse team of data scientists
· Engage with policymakers and economists to understand their needs and ensure solutions are aligned and effective
· Embed best practices in coding, modelling and documentation while fostering a supportive community
· Lead innovation through emerging tools, including AI, that can improve our effectiveness and efficiency
· Link with the Bank’s central technology and data teams to ensure that business needs are continuously catered for
Number of direct reports: 6
Role Requirements
We are seeking someone with deep technical knowledge, experience shaping and delivering impactful data science products and strong leadership skills. People from all backgrounds are welcome—even if you don’t meet every desirable criterion, we value your perspective and interest.
Essential · Strong technical skills working with modern data platforms and programming languages like R and Python and their data science libraries and packages.
· Experience leading and developing a team of data scientists or analysts.
· Experience leading or overseeing the development, testing and deployment of models and analytical tools, ensuring robustness, risk reduction and alignment with analytics development lifecycle principles.
· Ability to assess emerging AI tools and integrate them effectively to streamline processes, raise productivity, unlock new insights and increase the impact of analytical work.
· Strong collaboration skills, including the ability to plan and communicate how data science can benefit a large organisation, work well with others (economists, policy specialists, technical staff), and actively help build a supportive, knowledge-sharing data science community.
Desirable
· Familiarity with Microsoft Azure and scalable cloud-based data platforms.
· Familiarity with Databricks.
· Experience delivering the implementation of a new data platform and analytics capabilities within a large or complex organisation.
· Experience working in partnership with economists or in a policy-making environment, with an understanding of how data analytics can support policy analysis.
· Knowledge of operational risk reduction in the context of analytical workflows and model management.
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 40% 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. 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.
This role offers a salary of £108,800-£122,400 (London) and £95,470 - £110,160 (Leeds) 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 at any time and to withdraw dial up and dial down options at any time.
- A discretionary performance award based on a current award pool.
- An 8% benefits allowance with the option to take as salary or purchase a wide range of flexible benefits.
- 26 days’ annual leave with option to buy up to 12 additional days through flexible benefits.
- Private medical insurance and income protection.
National Security Vetting Process
Employment in this role will be subject to the National Security Vetting clearance process (and typically can take between 6 to 12 weeks post offer) and the passing of additional Bank security checks in accordance with the Bank policy. Further information regarding the vetting and security clearance requirements for the role will be provided to the successful applicant, and information about how the Bank processes personal data for these purposes, is set out in the Bank's Privacy Notice.
The Bank of England welcomes applications from all candidates, but as a UK Visas and Immigration (UKVI) approved sponsor, we have a responsibility to comply with the Immigration Rules and guidance. As such, our ability to employ individuals who require sponsorship for immigration purposes is limited. The Bank cannot guarantee that you and / or the role you are applying for will be eligible for sponsorship and that any application made to UKVI will be successful. Eligibility will therefore be considered on a case by case basis.
The Application Process
Important: Please ensure that you complete the ‘work history’ section and answer ALL the application questions fully. All candidate applications are anonymised to ensure that our hiring managers will not be able to see your personal information, including your CV, when reviewing your application details at the screening stage. It’s therefore really important that you fill out the work history and application form questions, as your answers will form a critical part of the initial selection process.
The assessment process will comprise of two interview stages. (Amend and add brief details if relevant, such as interview/assessment dates or process for your specific role).
This role closes on 1 August 2025
Please apply online, ensuring that you complete your work history and answer ALL the application questions fully and in detail as your application will not be considered if all mandatory questions are not fully completed.
Tags: Azure Data Analytics Databricks Engineering Privacy Python R Security Testing
Perks/benefits: Career development Equity / stock options Flex hours Health care Home office stipend Insurance Medical leave
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