Data Scientist - PRA

Bank of England; Leeds; Hybrid; GBP 51,000 - 57,000; Full time

Benefits offered by this job

Pension (career average)

Performance bonus

Benefits allowance 8%

26 days annual leave

Private medical insurance

Job summary

The Bank of England's ARTIS Data Science Spoke (ADSS) is looking for a data scientist to lead the development of advanced analytics capabilities at the intersection of AI and supervision. You will collaborate with data scientists, supervisors, and technical experts to deliver impactful AI solutions using supervisory data.

Based in Leeds with hybrid working options, you will help implement cloud-based AI pipelines on platforms like Azure Data Factory and Databricks, while advancing SAM and the

Qualifications

• Experience contributing to projects that apply AI or ML techniques to drive more effective and efficient use of data.
• Experience developing data pipelines using best practices in data engineering, AI, and ML.
• Ability and willingness to proactively seek out opportunities to innovate.
• Keen interest in learning how investment banks operate, how international banks are supervised, and general banking business models.
• Proficiency in Python and/or R, or their Spark equivalents.
• Excellent stakeholder management skills, and the ability to communicate technical concepts to non-technical audiences.
• Strong problem-solving skills, and the ability to deliver under pressure.
• Ability and willingness to stay updated on frontier AI developments.
• Experience working with solutions that involve Large Language Models (LLMs) and agentic approaches, including evaluating the efficacy of them.
• Experience working with Databricks and/or Azure Data Factory or other cloud-based tools and technologies.
• Familiarity with MLOps and LLMOps frameworks such as MLFLow for the purposes of development and maintenance of AI solutions in a cloud environment.
• Experience developing and deploying Streamlit and Shiny content on a Posit Connect server.
• Pre-existing knowledge of how investment banks operate, how international banks are supervised, and general banking business models.

Responsibilities

• Lead the design and development of cutting-edge AI tools and products to make better use of supervisory data.
• Work with supervisors and technical specialists to understand analytics gaps and design the innovative future data landscape within ARTIS to meet them.
• Lead contributions to strategic Bankwide and PRA initiatives such as the Enterprise Data Platform (EDP) and Supervisory Analytics and Metrics (SAM).
• Keep abreast of frontier AI developments to constantly assess and explore new opportunities to innovate alongside other PRA data scientists.
• Build and maintain strong collaborative relationships with key partners at all levels. This may include representing ADSS in presentations to senior committees.

Job description

The Authorisations, Regulatory Technology and International Supervision (ARTIS) Directorate brings together the PRA's Authorisations Division, the RegTech, Data and Innovation Division, and four divisions supervising UK activities of internationally headquartered banks, custodians and designated investment firms. It provides global leadership through data analytics, technical capability, consistent supervision and regulatory transactions, working collaboratively across the PRA and wider Bank.

The Cross Firm Team (CFT)

The CFT provides cross-firm financial analysis, risk identification, and thematic reviews across the international banking section. Combining supervisory insight with cutting-edge analytics, the team supports supervisors, seniors, and the wider Bank in identifying emerging risks, understanding industry trends, and taking informed supervisory action.

The ARTIS Data Science Spoke (ADSS)

ADSS is a team of dedicated data scientists within the CFT developing innovative artificial intelligence (AI), machine learning (ML), and advanced analytics capabilities to deliver more effective and efficient use of data within ARTIS and ultimately drive better decision making.

Job Description

The role holder will sit at the intersection of AI implementation and supervision and lead contributions to the development of advanced analytics capabilities. They will interface with data scientists, supervisors, and technical experts to ensure that ADSS is best serving the data needs of ARTIS. As a result, they will gain insight into how international banks operate, and are supervised, as well as sitting at the forefront of AI implementation in the PRA.

A key part of ADSS' ongoing workplan is to maximise opportunities opened by the PRA's future data product, Supervisory Analytics and Metrics (SAM). SAM sits on the Enterprise Data Platform (EDP), and the role holder will play a leading role in assessing and implementing cloud-based AI solutions, including pipelines and products spanning Azure Data Factory and Databricks which include state-of-the-art AI & ML techniques.

Number of direct reports: 0

Role Responsibilities

• Lead the design and development of cutting-edge AI tools and products to make better use of supervisory data.
• Work with supervisors and technical specialists to understand analytics gaps and design the innovative future data landscape within ARTIS to meet them.
• Lead contributions to strategic Bankwide and PRA initiatives such as the Enterprise Data Platform (EDP) and Supervisory Analytics and Metrics (SAM).
• Keep abreast of frontier AI developments to constantly assess and explore new opportunities to innovate alongside other PRA data scientists.
• Build and maintain strong collaborative relationships with key partners at all levels. This may include representing ADSS in presentations to senior committees.

Role Requirements

• Experience contributing to projects that apply AI or ML techniques to drive more effective and efficient use of data.
• Experience developing data pipelines using best practices in data engineering, AI, and ML.
• Ability and willingness to proactively seek out opportunities to innovate.
• Keen interest in learning how investment banks operate, how international banks are supervised, and general banking business models.
• Proficiency in Python and/or R, or their Spark equivalents.
• Excellent stakeholder management skills, and the ability to communicate technical concepts to non-technical audiences.
• Strong problem-solving skills, and the ability to deliver under pressure.
• Ability and willingness to stay updated on frontier AI developments.
• Experience working with solutions that involve Large Language Models (LLMs) and agentic approaches, including evaluating the efficacy of them.
• Experience working with Databricks and/or Azure Data Factory or other cloud-based tools and technologies.
• Familiarity with MLOps and LLMOps frameworks such as MLFLow for the purposes of development and maintenance of AI solutions in a cloud environment.
• Experience developing and deploying Streamlit and Shiny content on a Posit Connect server.
• Pre-existing knowledge of how investment banks operate, how international banks are supervised, and general banking business models.

We know that candidates do not always apply if they do not fully meet every criterion. We are most interested in an innovative mindset and technical potential. If this role excites you and you can bring an analytical skillset that you think would fit, we encourage you to apply or reach out to discuss the role.

LEEDS BASED

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.

From 1st October 2026, we expect all our colleagues to spend a minimum of 50% of their working time in the office per month. This is to capitalise on the benefits of working together in person across teams, while maintaining the flexibility offered by home working. Subject to that minimum requirement, individuals and managers should work together to find what works best for them and their team.

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.

Salary is circa £51,360 - £57,000. 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

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.

This role closes on 12th October.