Digital Advisory Associate

Programme overview

Programme work

• Support client teams across the programme's three solution pillars.
• Connect business opportunities with working solutions and help measure and prove value.
• Contribute to internal transformation and commercial go-to-market activities.

Learning and development

• Build a rounded understanding of AI transformation through rotations, practical project work and learning alongside specialists.
• Gain exposure to technology and frontier AI ecosystem partners.
• Develop platform experience and hands-on building skills, with opportunities to grow confidence and responsibility.

Candidate requirements

• Be on course for a 2:1 undergraduate degree or equivalent, or above; candidates from all academic disciplines are encouraged to apply.
• Show curiosity about organisational uses of AI and interest in strategy, responsible technology and people.
• Be comfortable with ambiguity and willing to learn across the three disciplines.
• Demonstrate analytical research, evidence assessment, reasoning and a foundation in using data for decisions.
• Communicate clearly with audiences with different levels of technical knowledge; collaborate, accept feedback and handle client information carefully.
• Have explored building with AI-assisted tooling such as Codex, Claude Code or Cursor; AI engineering expertise is not required.
• Show interest in how people experience change and awareness of AI risks and limitations.
• Coursework, personal projects, coding or low-code experience is useful but not essential.

Application materials

• Submit an up-to-date CV and a cover letter describing interest in AI Analytics work, a project using AI, data analytics or technology, and its challenge, approach, tools and outcome.
• Provide a link to a portfolio, GitHub repository, website or other evidence of something built or developed using AI or related technologies.
• The stated vacancy closing date is 19 October 2026 at 11:59 p.m.