Senior Business Analyst - Data Science

Senior Business Analyst – Data Science Division: Data, Technology and Innovation Department: Advanced Analytics & Data Science Solutions Salary: National (Edinburgh and Leeds): £53,800–£68,000 per annum; London: £59,200–£73,000 per annum, based on skills and experience. Grade: Senior Associate – Regulatory Role Responsibilities Identify and shape high‑value opportunities for applying AI across the organisation to enable smarter regulatory outcomes. Facilitate structured discovery workshops with stakeholders to surface pain points, map processes and pinpoint where AI can deliver meaningful improvements.

Translate business challenges into clear functional and non‑functional requirements, working collaboratively with technical teams to design AI‑enabled solutions. Manage and prioritise a pipeline of AI initiatives, partnering with data scientists and leadership to focus effort on the highest‑impact projects. Contribute to the organisation’s wider AI adoption strategy through insight, stakeholder engagement and evidence‑based recommendations.

Advocate best practice in business analysis, promoting consistency, quality and knowledge sharing across the department. Gain experience delivering experimental and innovative projects that address real‑world challenges such as financial crime and consumer protection. Build a distinctive skill set at the intersection of AI, data, technology and regulation within a collaborative, learning‑focused environment.

Minimum Skills Required Experience in a senior business analyst role or a comparable position such as Consultant, Solution/Service Designer or Product Owner. Experience delivering projects across the full lifecycle, using both waterfall and agile methodologies. Essential Solid understanding of core Business Analysis techniques, including user journey mapping, process mapping, requirements gathering and the ability to design and facilitate collaborative workshops.

Interest or familiarity with artificial intelligence, particularly in areas such as large language models, agentic AI, or prompt engineering. Effective interpersonal skills with the ability to build and maintain relationships across a diverse range of stakeholders. Ability to work through complex problems, identifying underlying issues and opportunities for improvement.

A pragmatic approach that can adjust to changing priorities, management of multiple tasks and balanced decision‑making informed by evidence, stakeholder perspectives and organisational context. Benefits 25 days annual leave plus bank holidays. Hybrid model: minimum 40% office attendance each month (expected 50% for senior leaders).

Non‑contributory pension (8–12% depending on age) and life assurance at eight times salary. Private healthcare with Bupa, income protection, and 24/7 Employee Assistance. 35 hours of paid volunteering annually. Flexible benefits scheme designed around personal lifestyle.

Disability Confident Employer We are a Disability Confident Employer and encourage applicants with disabilities or long‑term conditions to apply. #J-18808-Ljbffr