Job Description
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.
Data Science and Engineering
We're building a new data science and engineering team sitting at the heart of Monetary Analysis at the Bank of England. 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 Data Scientists who will play a key role in developing critical data science and analytical workflows in the cloud. These are roles with a wide remit, and we are interested in all types of advanced data skill sets - from machine learning to data engineering, cloud tooling, automation, advanced analytics and modelling. You'll help us design robust, reusable pipelines and solutions that support a wide range of high impact use cases.
As a Data Scientist you will:
- Collaborate with cross-functional teams to migrate data pipelines, processes and economic forecasting models to the cloud (Databricks on Azure)
- Build scalable, production-grade workflows using Python, SQL, and Apache Spark
- Contribute to the automation and orchestration of data pipelines, ensuring reliability, testability, and maintainability
- Support the development and deployment of economic and machine learning models in production
- Work across teams on high impact projects, leveraging and implementing the latest data science techniques
- Help define standards and best practices for a modern data science and engineering team
Role Requirements
We are looking for someone with strong programming and problem-solving abilities who is excited to apply their skillset to a wide range of projects. People from all areas of data such as data science, data engineering, cloud engineering and analytic engineering are encouraged to apply as we value diverse complimentary skillsets across the team.
Minimum
- 2-5 years of experience in a data science, data engineering, or related field
- Highly proficient in python with exposure to one or more other programming languages
- Experience working with version control systems such as GitHub
- Comfortable working in a hybrid data science/data engineering role
- Experience developing econometric or machine learning models through python, R or MATLAB
- Solid understanding of data modelling, ETL/ELT pipelines or software engineering best practices
- Strong problem-solving mindset and the ability to work independently or as part of a team on complex tasks
Desirable
- Strong Python and SQL skills in a cloud or a distributed environment
- Experience in other languages such as R or Matlab
- Exposure to data lake or data warehouse architectures on the cloud
- Experience with Apache Spark & distributed computing (preferably in Databricks)
- Experience with Databricks-specific features such as notebooks, MLflow, Delta Lake and Unity Catalog
- Understanding of latest advances in frontier models and how to use them, for example through Hugging Face
- Familiarity with automating pipelines via CI/CD for example through GitHub actions
- Exposure to ML lifecycle management and model deployment
- Experience migrating on-prem data pipelines and models to cloud 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 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.
We offer a salary as follows:
Leeds circa £51,360 - £57,780
London circa £57,040 - £64,170
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 stages.
This role closes on 19 September 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.
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