Data Scientist in AI and Analytics Team

Bank of England

Leeds

On-site

GBP 51,360 - 57,780

Full time

14 days+

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Benefits offered by this job

Flexible working options

Comprehensive benefits package

Pension scheme

Private medical insurance

Job summary

A national financial institution in Leeds is seeking a Data Scientist to lead advanced analytics initiatives using Databricks and Azure. The role requires expertise in programming with Python, hands-on experience with NLP and RAG techniques, and a collaborative approach to enhance supervisory tools. This position offers a competitive salary and benefits, including flexible working options.

Qualifications

Databricks and Microsoft Azure expertise including production experience.
Strong programming skills in Python (and/or PySpark, SQL).
Hands-on experience with NLP, RAG and advanced analytics techniques.

Responsibilities

Lead design, development, and deployment of advanced analytics solutions.
Apply innovative data science techniques to extract insights from complex data.
Collaborate with technical teams to enhance supervision.

Skills

Databricks

Microsoft Azure

Python

NLP

RAG

Agile delivery

Stakeholder engagement

Job description

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