Graduate Data & AI Analyst – Digital Products & Low-Code Solutions

You will work across AI‑enabled products, intelligent agents, data analysis, and low‑code solutions, supporting both internal product development and client delivery.

This is a varied, hands‑on role for an intellectually curious analyst who enjoys working with data, understanding how systems behave, and helping turn complex or manual processes into scalable digital solutions for real clients.

• Work closely with Product Managers, AI specialists, and Senior Consultants to understand client needs and shape intelligent digital solutions
• Support the development and improvement of AI‑driven products and agent‑based workflows, helping analyse inputs, outputs, and behaviour
• Analyse, structure, and validate data used across products and client solutions to ensure accuracy, insight, and reliability
• Produce reports, insights, and updates that help teams and clients understand performance, outcomes, and opportunities for improvement
• Support delivery of low‑code solutions (e.g. Microsoft Power Platform), including configuration, testing, and validation
• Assist with data remediation, cleansing, migration, and reconciliation activities
• Help configure and test cloud‑based software solutions across different environments
• Support clients with troubleshooting, triage, and user guidance where required
• Identify opportunities to remove, automate, or digitise manual processes using data‑driven and low‑code approaches
• Create clear documentation, process maps, and artefacts to support delivery and ongoing use

• Training and mentorship from Senior Analysts, AI specialists, and Product Leads
• Exposure to AI products, intelligent agents, and data‑driven digital delivery
• Hands‑on experience with low‑code platforms and modern cloud tooling
• Early client exposure in a supportive consultancy environment

• Strong analytical thinking and attention to detail
• Ability to work confidently with data: analysing, restructuring, validating, and drawing insight
• Strong communication skills, able to explain ideas and insights clearly to technical and non‑technical audiences
• Comfortable learning new tools, systems, and concepts quickly
• Interest in AI, intelligent agents, automation, and data‑driven decision‑making
• Interest in how digital products and low‑code solutions are designed, delivered, and adopted
• Evidence of exceptional problem-solving ability (e.g. competitive maths, coding challenges, research projects, side projects, published work, hackathons, etc.)
• Demonstrable ability to learn new technical domains independently and quickly
• Clear examples of self-directed projects beyond university coursework
• Comfort with basic coding concepts (variables, loops, APIs, JSON)
• Exposure to Git/version control or collaborative tooling
• Familiarity with cloud concepts (environments, deployments, permissions)
• Strong logical reasoning and comfort thinking in systems (inputs, outputs, constraints, edge cases)

• Exposure to data analysis beyond Excel (e.g. SQL, Python, Power BI, or similar)
• Familiarity with low‑code or no‑code platforms (e.g. Power Platform or similar)
• Understanding of software delivery, automation, or digital transformation concepts
• Any experience (academic or practical) with AI, agents, or analytics

• Minimum 2:1 degree or Masters in a relevant discipline (Data Science, AI/ML, Computer Science, Engineering, Mathematics, Business & Technology, Economics, or similar)

Competitive salary based on experience

Industry: IT Services and IT Consulting

Employment Type:

Full‑time Hybrid (Tuesdays and Fridays working from London office)