AI Analyst

Role Purpose

The AI Analyst is an early-career role for a high-potential graduate with a strong interest in AI and a desire to apply it to real business problems from day one.

The role sits within CABs AI Centre of Excellence (CoE) and will rotate across the breadth of CoE activity including business analysis AI adoption prompt engineering Power Platform automation Copilot Studio agents and data analysis.

Working under the guidance of the AI Implementation Lead and wider CoE team the AI Analyst will contribute directly to the Banks AI delivery goals by helping progress the AI use case pipeline supporting proof-of-concept and early delivery activities and producing clear artefacts and updates that translate AI capability into practical business outcomes. The role is designed to build broad capability quickly while delivering tangible productivity efficiency and insight benefits across the bank.

Role Responsibilities

Strategic & Commercial Alignment

• Contribute ideas to improve the value case and practical viability of proposed AI use cases (benefits feasibility scalability adoption considerations).
• Help gather stakeholder feedback and shape POC scope to ensure use cases demonstrate measurable value and are deliverable within constraints.
• Stay informed on relevant AI and industry trends and share insights to help position CoE approaches and tooling choices appropriately.

Hands-On Delivery

• Build and deliver low-complexity automations and AI agents from the AI use case pipelinestarting with closely supervised work and progressing to increased independence as capability grows.
• Support solution delivery activities such as:
  • data preparation basic analysis and quality checks
  • prompt iteration and testing
  • user testing defect triage and iterative improvement
• Contribute to the shared accelerator/library by documenting components prompts reusable flows patterns and how-to notes to enable reuse and handover.
• Assist with creation and maintenance of core CoE artefacts (e.g. use case library playbooks guidance and reporting content) to support scale and consistency.

Stakeholder Engagement & Communication

• Attend discovery sessions with business teams: capture requirements confirm next steps and follow up actions professionally.
• Act as a reliable point of contact for internal teams maintaining clear and responsive communication.
• Prepare non-technical written updates and materials (briefings slides status reporting short whats changed / whats next summaries).
• Support demos and workshops; over time present prototypes and delivered solutions to end users and stakeholders to build confidence and adoption.

Risk Quality & Compliance

• Follow the CoEs quality approach (peer review testing and any gating/approval steps) on all work products.
• Apply CAB standards under supervision including AI Policy GDPR data classification and information security requirements.
• Conduct quality checks on POC and delivery artefacts to ensure accuracy completeness and alignment to agreed requirements.
• Identify delivery risks (e.g. data issues limitations control gaps) and escalate early; maintain clear records for transparency and traceability.

Collaboration & Team Culture

• Work closely with the CoE team (automation analysts engineers adoption/literacy colleagues) through pairing/buddying learning by observation and hands-on contribution.
• Contribute positively to team morale and ways of working; participate actively in meetings brainstorming sessions Lunch & Learns and knowledge sharing.
• Build relationships across the bank through CoE engagement activities (e.g. roadshows champions network showcases).

Learning & Development

• Complete a structured onboarding pathway across Power Platform Copilot Studio prompt engineering data analysis and CAB AI tooling and policy.
• Achieve foundational certifications within the first 69 months (e.g. Microsoft PL900 AI900 and relevant follow-ons).
• Seek feedback regularly and act on it to develop technical capability delivery discipline and stakeholder skills.
• Over 1218 months identify a potential specialism (automation engineering adoption data) to support longer-term progression within the CoE.

Qualifications :

Recent Bachelors degree (2:1 preferred) or Masters degree in any discipline. All backgrounds welcome what matters most is curiosity about AI and learning agility.

Experience

No prior professional experience required. Evidence of applied interest in AI technology or problem-solving is strongly welcomed (e.g. projects internships hackathons side work automations or analysis).

Skills

• Genuine enthusiasm for AI and a demonstrable curiosity about how it can be applied to real business problems.
• Strong analytical and problem-solving mindset; able to break problems down and think logically about possible solutions.
• Demonstrates a test and learn mindset comfortable experimenting iterating and improving solutions quickly
• Excellent written and verbal communication; able to explain ideas clearly and adapt to different audiences.
• Comfortable with Microsoft 365 (Word Excel PowerPoint Teams SharePoint) and confident in picking up new tools quickly.
• Familiarity with at least one AI tool at an end-user level (e.g. Microsoft Copilot ChatGPT Claude Gemini) and the ability to describe what it does well and where it struggles.
• Well-organised reliable and able to manage multiple small tasks in parallel.
• Openness to feedback willingness to ask for help and a constructive attitude when things do not work first time.

Additional Information :

• Hybrid working
• Contributory personal pension plan: - Minimum: Employee 2% and Employer 7%. Employer matches contributions in 1% increments to a maximum of: Employee 5% and Employer 10%
• Life Assurance 4 times annual salary
• Group Income Protection
• Private Medical Insurance this may include cover for partner and or children at company cost. Cover includes Optical Dental and Audiology
• Discretionary Bonus
• Competitive Annual Leave
• 2 Volunteering Days
• Benefit Hub

Remote Work :

No

Employment Type :

Full-time

Experience: years
Vacancy: 1