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.