Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and deployment of advanced analytics solutions using Databricks and Azure.
- Company: Join the Bank of England's innovative AI and Analytics Team.
- Benefits: Competitive salary, flexible working options, and comprehensive benefits package.
- Why this job: Make a real impact in financial regulation with cutting-edge data science techniques.
- Qualifications: Expertise in Databricks, Azure, and strong programming skills in Python.
- Other info: Dynamic environment with opportunities for professional development and mentoring.
The predicted salary is between 51360 - 57780 £ per year.
Overview
Data Scientist in AI and Analytics Team at Bank of England. Role requires expertise in Databricks, Azure, modern data science, and proven agile delivery experience.
Base pay range
This range is provided by Bank of England. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Key Responsibilities
- Lead and contribute to the design, development, and deployment of advanced analytics solutions using Databricks and Azure, supporting supervisory and regulatory objectives.
- Apply innovative data science techniques including NLP, RAG, and machine learning to extract insights from complex, multi-source regulatory data sets.
- Collaborate with supervisors and technical team members to comprehend requirements and deliver solid, scalable solutions that enhance supervision.
- Promote the implementation of guidelines in CI/CD, DevOps, and agile delivery, coordinating sprints and guiding team members in contemporary engineering workflows.
- Build and maintain data pipelines and analytical workflows, ensuring data quality, security, and regulatory compliance.
- Stay abreast of the latest developments in data science, cloud engineering, and financial supervision, sharing knowledge with technical and non-technical audiences.
- Collaborate with end-users including supervisors of banks and insurers to understand needs and ensure tools meet those needs.
- Demonstrable expertise in Databricks and Microsoft Azure (including Azure Data Factory, Databricks, and related services).
- Strong programming skills in Python (and/or PySpark, SQL), with experience in building and deploying machine learning models in production environments.
- Hands-on experience with NLP, RAG, and other advanced analytics techniques, ideally applied to financial or regulatory data.
- Solid understanding of supervision, prudential regulation, and the data sets underpinning supervisory analytics.
- Effective communication skills, collaborative team player, and ability to build impactful relationships with partners.
- Experience steering delivery sprints, creating CI/CD pipelines, and working in agile, multi-functional teams.
- Familiarity with RegTech and SupTech trends.
- Interest in financial markets, regulation, and continuous professional development (e.g., Azure and Databricks certifications).
- Demonstrable experience mentoring junior staff.
Inclusion
Our Approach to Inclusion
The Bank values diversity, equity and inclusion. We aim to reflect the society we serve and maintain monetary and financial stability through a diverse workforce.
Qualifications and Criteria
Minimum Criteria:
- Databricks and Microsoft Azure expertise (including Azure Data Factory, Databricks, and related services).
- Strong programming skills in Python (and/or PySpark, SQL), with production experience deploying ML models.
Essential Criteria:
- Hands-on NLP, RAG, and other advanced analytics techniques, ideally with financial or regulatory data.
- Solid understanding of supervision, prudential regulation, and supervisory analytics data sets.
- Strong communication, teamwork, and stakeholder engagement skills.
Desirable Criteria:
- Experience steering delivery sprints, CI/CD pipelines, and agile, multi-functional teams.
- Familiarity with RegTech and SupTech trends.
- Interest in financial markets and regulation; ongoing professional development (e.g., Azure, Databricks certifications).
- Mentoring experience for junior staff.
Salary and Benefits
Salary and benefits information: Leeds-based role with a salary range of £51,360 to £57,780. Flexible working, with part-time or job-sharing options. Comprehensive benefits package available, including pension, discretionary performance award, benefits allowance, annual leave, private medical insurance and income protection.
National Security Vetting
Employment is subject to the National Security Vetting clearance process (typically 6 to 12 weeks post offer) and additional Bank security checks in line with Bank policy. Details about vetting and data privacy are provided in the Bank’s Privacy Notice.
Immigration Sponsorship
The Bank is a UKVI-approved sponsor with responsibilities to comply with Immigration Rules. Eligibility for sponsorship will be considered on a case-by-case basis.
Application Process
Important: Please ensure you complete the work history section and answer ALL application questions fully. Applications are anonymised during screening. Include complete work history and detailed answers since these form a critical part of the initial selection process.
Closing date: This role closes on 31 October 2025.
Seniority
- Entry level
Employment type
- Full-time
Job function
- Finance
#J-18808-Ljbffr
Data Scientist in AI and Analytics Team employer: Bank of England
Contact Detail:
Bank of England Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in AI and Analytics Team
✨Tip Number 1
Network like a pro! Reach out to current employees at the Bank of England on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the AI and Analytics Team. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss Databricks, Azure, and your experience with Python and machine learning. Practice explaining complex concepts in simple terms – it shows you can communicate effectively with both technical and non-technical folks.
✨Tip Number 3
Showcase your passion for financial markets and regulation during interviews. Share any relevant projects or experiences that highlight your interest in these areas. It’s all about demonstrating that you’re not just qualified, but genuinely excited about the work you'll be doing!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on upcoming events or webinars hosted by the Bank of England – they’re great opportunities to learn more and make connections.
We think you need these skills to ace Data Scientist in AI and Analytics Team
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Databricks and Azure right from the get-go. We want to see how your programming skills in Python or SQL can shine through in your application!
Be Specific About Your Experience: When detailing your work history, focus on your hands-on experience with NLP, RAG, and machine learning. We love seeing concrete examples of how you've tackled complex data sets in the past.
Communicate Clearly: Effective communication is key! Use clear and concise language to explain your previous roles and how you collaborated with teams. We’re looking for team players who can build impactful relationships.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
How to prepare for a job interview at Bank of England
✨Know Your Tech Inside Out
Make sure you’re well-versed in Databricks and Azure. Brush up on your Python, PySpark, and SQL skills, as these will likely come up during technical discussions. Be ready to share specific examples of how you've used these technologies in past projects.
✨Showcase Your Analytical Skills
Prepare to discuss your experience with advanced analytics techniques like NLP and RAG. Think of a couple of scenarios where you’ve applied these methods to real-world data sets, especially in financial or regulatory contexts. This will demonstrate your practical knowledge and problem-solving abilities.
✨Emphasise Collaboration and Communication
Since the role involves working closely with supervisors and team members, be prepared to talk about your teamwork experiences. Highlight instances where you’ve successfully collaborated on projects, steered delivery sprints, or mentored junior staff. Good communication is key!
✨Stay Updated and Show Enthusiasm
Keep abreast of the latest trends in RegTech and SupTech, as well as developments in data science and cloud engineering. Showing genuine interest in these areas can set you apart. Mention any relevant certifications or ongoing professional development efforts to showcase your commitment to growth.