Data Science & Analytical Tools Expert in Analytics Enablement Hub

at  Bank of England

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.

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.

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.

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.

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

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

This role offers a salary of circa £52,730 - 60,000. 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 1/95th 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