Apprentice AI Automation Specialist (Product Analyst)

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Location: London, ENG, GB, N1C 4AG

Brand: RS Group

Function: Apprenticeships/Early Careers

Work Location: Hybrid

Are you a Data Analytics, Business Analytics, Computer Science, Marketing Analytics, Mathematics, Psychology, or Technology graduate with a passion for AI and emerging technologies?

Do you enjoy analysing data, solving problems, understanding customer behaviour, and helping shape innovative digital experiences?

If you answered ‘Yes’ to the above, then read on...

At RS Group, we're investing in the future of Artificial Intelligence and digital customer experiences. This is an exciting opportunity to join our Customer Experience (CX) Team as an AI Product Analyst, where you'll help shape the next generation of AI-powered customer journeys while working towards a Level 4 AI & Data apprenticeship qualification.

About the Role

As an AI Product Analyst, you'll work at the intersection of Artificial Intelligence, Product Management, Data Analytics, and Customer Experience.

Initially focused on our Conversational Search capability, you'll help develop AI-powered products that make it easier for customers to find the right products, information, and solutions. You'll work closely with Product Owners, Engineers, Data Scientists, UX specialists, and business stakeholders to turn innovative ideas into reality.

This is an ideal opportunity for graduates who are excited by the potential of Generative AI, Machine Learning, Search Technologies, and Digital Product Development and want to gain hands‑on experience in one of the fastest-growing areas of technology.

What You'll Be Doing

You’ll gain practical experience across the full product lifecycle, including:

AI Product Development

• Supporting the design and delivery of AI-powered customer experiences
• Helping shape new AI use cases from concept through to implementation
• Working with stakeholders to understand business challenges and identify opportunities for AI solutions
• Supporting innovation and experimentation activities to validate ideas and improve outcomes
• Supporting Product Owners with backlog management and prioritisation
• Translating business requirements into clear user stories and acceptance criteria
• Working closely with Engineering and Data teams to ensure successful delivery
• Supporting roadmap planning and feature development

Data & Analytics

• Gathering, analysing, and interpreting data to identify trends and opportunities
• Monitoring customer engagement and AI performance metrics
• Producing insights and recommendations that influence product decisions
• Supporting data quality and governance initiatives
• Evaluating AI-generated outputs and identifying opportunities for enhancement
• Supporting A/B testing and experimentation activities
• Analysing user feedback and behavioural data to improve customer experiences
• Contributing to the ongoing optimisation of AI products

Stakeholder Engagement

• Building relationships with stakeholders across Product, Technology, Data, and Customer Experience teams
• Presenting findings and recommendations clearly to both technical and non-technical audiences
• Supporting alignment across multiple teams to ensure successful delivery

What We're Looking For

We're looking for curious, analytical graduates who are excited about the future of AI and customer experience.

• Strong analytical and problem-solving abilities
• Confidence working with data and drawing meaningful insights
• Excellent communication and stakeholder management skills
• Strong organisational skills and attention to detail
• Understanding of business analysis or product management principles
• Ability to translate business needs into clear requirements
• Interest in AI, Generative AI, Machine Learning, and digital experiences
• A proactive mindset with a willingness to challenge existing thinking and learn new skills

Experience or exposure to any of the following would be advantageous:

• Artificial Intelligence or Machine Learning projects
• Natural Language Processing (NLP) or Conversational AI
• Product Management methodologies
• Agile Scrum or Kanban environments
• Search technologies or recommendation systems
• SQL, Power BI, Adobe Analytics, or similar data tools
• AI evaluation, prompt engineering, or model performance testing
• User research, customer analytics, or experimentation frameworks

You’ll thrive in this role if you:

• Love understanding how customers think and behave
• Enjoy working with data to answer questions and solve problems
• Are naturally curious and regularly explore new technologies and AI tools
• Feel comfortable experimenting, learning, and improving ideas through evidence and feedback
• Can spot patterns, synthesise insights, and turn them into clear recommendations
• Are excited by technology but not intimidated by technical concepts or teams
• Want to help shape the future of AI-powered customer experiences

What Qualification Do You Need?

We're interested in graduates from a range of disciplines, including:

• Data Analytics
• Business Analytics
• Computer Science
• Data Science
• Mathematics
• Statistics
• Economics
• Marketing Analytics
• Business Management
• Or a related discipline

Most importantly, we're looking for people who can demonstrate curiosity, analytical thinking, and a genuine interest in how AI can improve customer experiences.

Why Join RS Group?

At RS Group, we're transforming our digital customer experience through data, technology, and innovation. AI is becoming a key part of how we help customers discover products and find solutions faster and more effectively.

As part of our Graduate Apprenticeship Programme, you'll benefit from:

• A recognised Level 4 apprenticeship qualification
• Structured development and mentoring
• Exposure to cutting‑edge AI and customer experience technologies
• Hands‑on experience working on real AI products
• Opportunities to collaborate with Product, Data Science, Engineering, and UX teams
• A supportive and innovative working environment
• Clear career pathways into Product Management, AI Product Management, Data & Analytics, and Digital Experience roles