Data Scientist
Full Time
full time
28 Feb 2024
London
Verified by Turrior
Content + Source + Freshness • 13 Feb 2026 • 95% confidence
85 / 100
Offer value
This position scores high due to the Bank of England's strong reputation, the integration of advanced technologies in financial supervision, and significant professional growth opportunities.
- Work at the esteemed Bank of England
- Engagement with cutting-edge AI and machine learning techniques
- Significant room for career advancement
- High expectations and workload potential
Pros
- Opportunity to work with advanced data science technologies, including AI/ML applications.
- Position in a respected institution with a crucial role in financial regulation.
- Strong potential for skill development in analytics and finance.
Cons
- Possibly high workload due to the nature of oversight functions.
- Requires a solid background in data science and finance, possibly limiting the candidate pool.
- Challenges associated with collaborative efforts across technical and regulatory teams.
Who it's for
Mid-Senior Level • On-site
Good fit
- Data analysts with a passion for finance
- Professionals with experience in AI/ML applications
- Individuals looking for a career in regulatory frameworks
Not recommended for
- Entry-level professionals without applicable experience
- Candidates seeking remote working options
- Those uncomfortable with regulatory environments
Motivation fit
Desire to contribute to public financial safety and regulation.Interest in leveraging advanced technology for social impact.Eagerness to work in a structured but innovative environment.
Key skills
Data analysis and visualization toolsStatistical modeling and programmingAI and machine learning techniquesStrong communication and problem-solving abilities
Score: 85/100 AI verified analysis
About the job
An exciting opportunity has arisen for a Data Scientist to join one of our technical specialist teams within our Supervision Directorate. The job holder will lead and assist with the development of advanced analytics through deployment of data science and artificial intelligence (AI) / machine learning (ML) techniques, including Large Language and Multimodal Models (LLMs/LMMs), to improve a variety of internal business functions related to financial supervision and regulation.
