Job Description
Job description
The Bank of England is the UK's central bank. Our mission is to deliver monetary and financial stability for the British people.
The Bank of England is a diverse organisation. Each of its 4,000 plus people are committed to public service and dedicated to promoting the good of the people of the United Kingdom by maintaining monetary and financial stability.
Data Strategy Implementation Division
Our Division helps the Bank to make the best use of data and analytics. Pretty much everything the Bank does depends critically on the use of data and analytics, and the Bank has made our work a strategic priority. We have support from the Governor down and across the Bank, and a big increase in funding. As part of our team, you will contribute to outcomes of national importance today, while preparing the Bank to face the challenges of tomorrow.
We have lots of opportunities for people who want to grow. We are moving from a start-up to a scale-up: created four years ago, and grown from a dozen or so to approaching eighty people. We need people to contribute their ideas, be entrepreneurial, and take the lead on new areas of work. You can gain broad exposure to the various parts of the Bank, giving you the option to move to other roles within the Bank in the future.
We have a supportive culture that empowers people to be the best they can. This culture is reflected in staff survey results. Staff in our division tell us we are particularly good at giving recognition, praise and useful feedback, with a large majority of staff saying they would recommend their manager to others.
We offer very flexible working arrangements.
How do you know if our team is a good fit for you?
You are
• Focussed on what makes a difference.
• Collaborative and inclusive.
• Committed to iteration and incremental improvement.
You like
• Creating great products and services that make people's lives easier.
• Seizing opportunities and solving problems.
• Learning, honing your skills, and gaining new skills.
• Data and analytics!
You know
• What can be achieved by using data and analytics.
• What must be done to use data and analytics effectively.
The Analytics Enablement Hub (AEH)
The AEH provides data science and analytics tools, platforms, policies, and advice to colleagues across the Bank, to help them analyse data and communicate their insights to decision-makers. We achieve this through close partnership with Technology teams, and ongoing consultation with business representatives to prioritise use of existing capacity (where constrained) and of our considerable continuous improvement budget.
The Data Science and Analytical Tools Strategy Team within the AEH is responsible for setting the strategy for Data Science tools within the Bank. We work together with our business stakeholders to own key decisions such as:
• what should be in our strategic toolkit,
• how to ensure this is fit for purpose and addresses the Bank's ongoing demand for programming, dashboarding and presentations tools,
• how to ensure our strategic data science toolkit is kept up to date and in-line with industry best practices,
• how to support users to implement best practices in their analytical processes.
This team therefore sits at the core of an organisation-wide transformation in the way we use data & analytics.
Job Description
This is an exciting opportunity for a Data Science Tools Expert in the DS&A Tools Strategy Team. We expect the job holder to:
• Oversee and input to the day-to-day support of users across the Bank, drawing on their own expertise in the data science toolset, and building relationships with key users to create a network of experts.
• Promote data science and analytical best practice, supporting users from all areas of the Bank in understanding and implementing best practices to analytical processes.
• Work closely with the Skills and Learning team to deliver improvements to our tool resources such as self-help material, wikis and training courses.
• Work collaboratively with users from across the Bank to address queries, knowledge gaps and challenges that might be raised regarding the use and access of our strategic toolkit. Provide advice and guidance to users on different stages of their analytical journey, and work closely with Technology colleagues and Business Owners to address any challenges raised.
Role Requirements
Minimum knowledge/competencies
The most important requirement for the role is that the work excites the candidate and that they believe they can help the Bank substantially improve its data and analytics capabilities through supporting and empowering other Bank users. In addition, the job holder will have:
• Hands-on experience of using Python and/or R to deliver Data Science projects.
• Experience in using Git for version control and collaboration.
• Experience in working with visualisation tools (e.g. Tableau, Power BI)
• Expertise in/keen to learn about other analytical tools, techniques and frameworks (e.g. RShiny, Dash, Streamlit, machine learning).
• Basic understanding of technical implementation concepts that can influence the data science workflow e.g. in the cloud.
• Strong communication skills, particularly the ability to communicate/translate between technical and non-technical audiences.
• Genuine interest in problem solving and pro-active approach to supporting data scientists with their challenges and queries.
• A strategic mindset with the ability to balance longer term solutions with shorter term improvements.
Desirable knowledge/competencies
• Knowledge and experience working with different types of data, for example structured and unstructured.
• Experience of service design and/or defining user journeys and identifying pain points.
• User support experience, such as through a service desk, delivering training courses or creating learning content.
• Experience with distributed computing, such as the use of Spark.
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, 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 circa £xx,xxx-£xx,xxx. In addition, we also offer a comprehensive benefits package as detailed below:
• A non-contributory, career average pension giving you a guaranteed retirement benefit of 1/+5th of your annual salary for every year worked. There is the option to increase your pension (to 1/50th) or decrease (to 1/120th) in exchange for salary through our flexible benefits programme each year.
• A discretionary performance award based on a current award pool.
• A 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 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 11 October 2026.
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.
The Bank of England is the UK's central bank. Our mission is to deliver monetary and financial stability for the British people.
The Bank of England is a diverse organisation. Each of its 4,000 plus people are committed to public service and dedicated to promoting the good of the people of the United Kingdom by maintaining monetary and financial stability.
Data Strategy Implementation Division
Our Division helps the Bank to make the best use of data and analytics. Pretty much everything the Bank does depends critically on the use of data and analytics, and the Bank has made our work a strategic priority. We have support from the Governor down and across the Bank, and a big increase in funding. As part of our team, you will contribute to outcomes of national importance today, while preparing the Bank to face the challenges of tomorrow.
We have lots of opportunities for people who want to grow. We are moving from a start-up to a scale-up: created four years ago, and grown from a dozen or so to approaching eighty people. We need people to contribute their ideas, be entrepreneurial, and take the lead on new areas of work. You can gain broad exposure to the various parts of the Bank, giving you the option to move to other roles within the Bank in the future.
We have a supportive culture that empowers people to be the best they can. This culture is reflected in staff survey results. Staff in our division tell us we are particularly good at giving recognition, praise and useful feedback, with a large majority of staff saying they would recommend their manager to others.
We offer very flexible working arrangements.
How do you know if our team is a good fit for you?
You are
• Focussed on what makes a difference.
• Collaborative and inclusive.
• Committed to iteration and incremental improvement.
You like
• Creating great products and services that make people's lives easier.
• Seizing opportunities and solving problems.
• Learning, honing your skills, and gaining new skills.
• Data and analytics!
You know
• What can be achieved by using data and analytics.
• What must be done to use data and analytics effectively.
The Analytics Enablement Hub (AEH)
The AEH provides data science and analytics tools, platforms, policies, and advice to colleagues across the Bank, to help them analyse data and communicate their insights to decision-makers. We achieve this through close partnership with Technology teams, and ongoing consultation with business representatives to prioritise use of existing capacity (where constrained) and of our considerable continuous improvement budget.
The Data Science and Analytical Tools Strategy Team within the AEH is responsible for setting the strategy for Data Science tools within the Bank. We work together with our business stakeholders to own key decisions such as:
• what should be in our strategic toolkit,
• how to ensure this is fit for purpose and addresses the Bank's ongoing demand for programming, dashboarding and presentations tools,
• how to ensure our strategic data science toolkit is kept up to date and in-line with industry best practices,
• how to support users to implement best practices in their analytical processes.
This team therefore sits at the core of an organisation-wide transformation in the way we use data & analytics.
Job Description
This is an exciting opportunity for a Data Science Tools Expert in the DS&A Tools Strategy Team. We expect the job holder to:
• Oversee and input to the day-to-day support of users across the Bank, drawing on their own expertise in the data science toolset, and building relationships with key users to create a network of experts.
• Promote data science and analytical best practice, supporting users from all areas of the Bank in understanding and implementing best practices to analytical processes.
• Work closely with the Skills and Learning team to deliver improvements to our tool resources such as self-help material, wikis and training courses.
• Work collaboratively with users from across the Bank to address queries, knowledge gaps and challenges that might be raised regarding the use and access of our strategic toolkit. Provide advice and guidance to users on different stages of their analytical journey, and work closely with Technology colleagues and Business Owners to address any challenges raised.
Role Requirements
Minimum knowledge/competencies
The most important requirement for the role is that the work excites the candidate and that they believe they can help the Bank substantially improve its data and analytics capabilities through supporting and empowering other Bank users. In addition, the job holder will have:
• Hands-on experience of using Python and/or R to deliver Data Science projects.
• Experience in using Git for version control and collaboration.
• Experience in working with visualisation tools (e.g. Tableau, Power BI)
• Expertise in/keen to learn about other analytical tools, techniques and frameworks (e.g. RShiny, Dash, Streamlit, machine learning).
• Basic understanding of technical implementation concepts that can influence the data science workflow e.g. in the cloud.
• Strong communication skills, particularly the ability to communicate/translate between technical and non-technical audiences.
• Genuine interest in problem solving and pro-active approach to supporting data scientists with their challenges and queries.
• A strategic mindset with the ability to balance longer term solutions with shorter term improvements.
Desirable knowledge/competencies
• Knowledge and experience working with different types of data, for example structured and unstructured.
• Experience of service design and/or defining user journeys and identifying pain points.
• User support experience, such as through a service desk, delivering training courses or creating learning content.
• Experience with distributed computing, such as the use of Spark.
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, 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 circa £xx,xxx-£xx,xxx. In addition, we also offer a comprehensive benefits package as detailed below:
• A non-contributory, career average pension giving you a guaranteed retirement benefit of 1/+5th of your annual salary for every year worked. There is the option to increase your pension (to 1/50th) or decrease (to 1/120th) in exchange for salary through our flexible benefits programme each year.
• A discretionary performance award based on a current award pool.
• A 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 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 11 October 2026.
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.
💡 Quick Summary
Seeking a career-building opportunity? The Data Science Analytical Tools Expert in Analytics Enablement Hub position is now open for candidates interested in the Bank Jobs sector. This role in London offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
