At a Glance
- Tasks: Lead a team in advanced data science projects, focusing on AI and machine learning.
- Company: Join the Bank of England, a key player in maintaining monetary stability across the UK.
- Benefits: Enjoy flexible working options, a competitive salary, and a comprehensive benefits package.
- Other info: This role offers opportunities for professional growth and collaboration within a diverse team.
- Why this job: Make a real impact by connecting policymakers with businesses and communities through data insights.
- Qualifications: Expertise in R/Python, big data analysis, and strong leadership skills required.
The predicted salary is between 73760 - 92160 £ per year.
The Monetary Analysis directorate provides expert advice and guidance to the Monetary Policy Committee so that it can decide and communicate the right policy strategy to meet its price stability objective.
Agency network: Bank of England Agents and their teams operate from 12 agencies across the UK. Up to four agents are based at each agency and they are supported by small administrative teams. Agents have one-to-one confidential conversations with businesses and community organisations in their area. They hold local events so people can share views and experiences. They meet hundreds of contacts, from small businesses and community organisations to large global companies. They gather insight into all sectors of the economy. The agents find out what conditions are like for businesses and communities. Our agents make sure we have a well-rounded view of economic conditions and prospects across the UK. They help business people and our economists understand each other. They connect our policymakers (across the Monetary Policy Committee (MPC), the Financial Policy Committee (FPC) and the Prudential Regulation Committee (PRC)) with what’s happening on the ground. Our agents organise visits for our policymakers across the UK so they can hear the views of businesses and communities first-hand.
Key Responsibilities:
- Line management of an Analyst in Data Science and three Senior Research Assistants.
- Work with the Technical Agent for Data Strategy to implement the Data Analytics/ AI and Technology strategy for the Agency Network.
- Lead advanced research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling.
- Develop and implement complex data science solutions, ensuring they deliver measurable business improvements.
- Work collaboratively with Agents to implement new analytical tools, including scoping and leading projects.
- Provide technical leadership and mentorship to an Analyst Data Scientist and 3 Senior RAs.
- Collaborate with business stakeholders in the Agency Network and Monetary Analysis more widely to define objectives, frame problems, and deliver improvements.
- Drive innovation by identifying emerging trends in data science and assessing their applicability to the Agency Network.
- Ensure data science solutions align with governance, regulatory, and ethical standards.
- Provide leadership to the Analyst and Senior Research Assistants in operationalising innovations in data science.
The Senior Data Scientist will be part of a peer group in the Agency Network, allowing further integration into broader Agencies discussion and activities. The Senior Data Scientist will be a member of the Data and Analytics Team and can get involved in a range of workstreams via membership of a Working Group.
Role Requirements:
- Excellent analytical and problem-solving skills, with passion, perseverance and flexibility to apply advanced data science techniques to develop robust and valuable data solutions.
- Expert knowledge in R and/or Python, and how they work with Spark, to deliver critical data science and analytical capabilities in big data platforms.
- High proficiency in analysing big data with cloud services (e.g. Microsoft Azure Services, Databricks).
- Experience of software development best practices, including unit testing and CI/CD processes.
- Strong written and verbal communication skills to engage effectively with colleagues at a range of seniorities and knowledge levels.
- Strong leadership and management skills with the ability to manage and develop a team consisting of an Analyst Data Scientist and three Senior Research Assistants.
- Proficiency in data visualisation tools (e.g. Tableau, Power BI) and presenting data effectively.
Desirable criteria:
- Experience and knowledge of Cloudera Data Platform.
- Change management experience.
- An appreciation of the Bank’s approach to monetary and/or financial policy.
This is a people management role. You will be responsible for day to day management of the team and for defining roles and responsibilities. You will develop your team through sharing information effectively, coaching and communicating a clear vision to ensure that your staff are productive, engaged and motivated to deliver the area's aims.
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. We celebrate all forms of diversity, including age, disability, ethnicity, gender, gender identity, race, religion, sexual orientation and socioeconomic status.
This role can be based in one of the Agency offices in Belfast, Birmingham, Cardiff, Glasgow, Leeds or London and the jobholder will be required to meet regularly with the wider Data and Analytics Team in a central location.
Salary and Benefits Information:
This role offers a salary of circa £73,760 - £92,160. In addition, we also offer a comprehensive benefits package.
National Security Vetting Process:
Employment in this role will be subject to the National Security Vetting clearance process and the passing of additional Bank security checks.
The Application Process:
Please ensure that you complete the ‘work history’ section and answer ALL the application questions fully. The assessment process will comprise of two interview stages. This role closes on 30 June 2025.
Senior Data Scientist in Agencies in Leeds employer: Bank of England
The Bank of England is an exceptional employer, offering a dynamic work environment where innovation in data science and AI is at the forefront of our mission to maintain monetary stability. With a strong commitment to diversity, equity, and inclusion, we foster a collaborative culture that empowers employees to grow through mentorship and leadership opportunities. Our comprehensive benefits package, flexible working arrangements, and the chance to make a real impact on the economy make this role in one of our regional offices an exciting opportunity for any Senior Data Scientist.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Agencies in Leeds
✨Tip Number 1
Familiarise yourself with the latest trends in data science and AI, especially in relation to monetary policy. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of data science and monetary policy. Attend relevant conferences or webinars where you can meet people from the Bank of England or similar organisations, as personal connections can often lead to job opportunities.
✨Tip Number 3
Prepare to discuss your experience with big data platforms and cloud services like Microsoft Azure. Be ready to provide examples of how you've successfully implemented data science solutions in previous roles, as this will demonstrate your capability for the position.
✨Tip Number 4
Showcase your leadership skills by preparing examples of how you've managed teams or projects in the past. The role requires strong management abilities, so highlighting your experience in mentoring and guiding others will be crucial.
We think you need these skills to ace Senior Data Scientist in Agencies in Leeds
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data science, particularly with R, Python, and big data platforms. Emphasise your leadership skills and any relevant projects that demonstrate your ability to manage teams and deliver complex data solutions.
Craft a Compelling Cover Letter:In your cover letter, express your passion for data science and how it can solve real-world problems. Mention specific experiences that align with the role's requirements, such as your expertise in AI and machine learning, and your collaborative approach to working with stakeholders.
Highlight Relevant Skills:Clearly outline your technical skills, especially in data visualisation tools like Tableau or Power BI, and your experience with cloud services. Make sure to include your knowledge of governance and ethical standards in data science, as this is crucial for the role.
Complete All Application Sections:Ensure you fill out every section of the application form thoroughly. Pay special attention to the work history section and answer all questions fully, as incomplete applications will not be considered. This is your chance to showcase your qualifications and fit for the role.
How to prepare for a job interview at Bank of England
✨Showcase Your Analytical Skills
As a Senior Data Scientist, you'll need to demonstrate your excellent analytical and problem-solving skills. Prepare examples of how you've applied advanced data science techniques in previous roles to solve complex problems, especially in unfamiliar environments.
✨Familiarise Yourself with Relevant Technologies
Make sure you're well-versed in R, Python, and big data platforms like Spark. Be ready to discuss your experience with cloud services such as Microsoft Azure and Databricks, as these are crucial for the role.
✨Prepare for Leadership Questions
Since this role involves managing a team, be prepared to discuss your leadership style and experiences. Think about how you've developed and motivated teams in the past, and be ready to share specific examples.
✨Understand the Bank's Monetary Policy
Having a grasp of the Bank of England's approach to monetary and financial policy will set you apart. Research how data science and agency intelligence inform these policies, and be ready to discuss your insights during the interview.