AI & Data Scientist — Regulatory Analytics

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 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