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.

Please make sure you read the following details carefully before making any applications.

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.

Responsibilities

• 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

What We Offer

• 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

Skills / Experience You Must Have

• 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 xwzovoh or collaborative tooling
• Familiarity with cloud concepts (environments, deployments, permissions)
• Strong logical reasoning and comfort thinking in systems (inputs, outputs, constraints, edge cases)

Nice to Have

• 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

Qualifications

• 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)

…