At a Glance
- Tasks: Lead the development of AI analytics and collaborate with experts to deliver impactful solutions.
- Company: Join the Bank of England's innovative ARTIS Data Science Spoke team.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role based in Leeds with excellent career advancement potential.
- Why this job: Make a real impact in AI and supervision while working with cutting-edge technology.
- Qualifications: Experience in data science and a passion for AI and analytics.
The predicted salary is between 56250 - 68750 £ per year.
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.
AI & Data Scientist — Regulatory Analytics in Leeds employer: Bank of England
The Bank of England is an exceptional employer, offering a dynamic work environment where innovation and user-centred design are at the forefront of its mission. With a strong commitment to employee development, the Bank fosters a collaborative culture that values diverse perspectives and encourages professional growth through training and mentorship. Located in London, employees benefit from a comprehensive benefits package, flexible working arrangements, and the opportunity to contribute to meaningful projects that shape the future of financial services.
StudySmarter Expert Advice🤫
We think this is how you could land AI & Data Scientist — Regulatory Analytics in Leeds
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We think you need these skills to ace AI & Data Scientist — Regulatory Analytics in Leeds
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
