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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.

Responsibilities

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
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
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

Requirements

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 Artificial Intelligence or Machine Learning projects
Experience or exposure to Natural Language Processing (NLP) or Conversational AI
Experience or exposure to Product Management methodologies
Experience or exposure to Agile Scrum or Kanban environments
Experience or exposure to Search technologies or recommendation systems
Experience or exposure to SQL, Power BI, Adobe Analytics, or similar data tools
Experience or exposure to AI evaluation, prompt engineering, or model performance testing
Experience or exposure to User research, customer analytics, or experimentation frameworks
Love understanding how customers think and behave
Enjoy working with data to answer questions and solve problems
Naturally curious and regularly explore new technologies and AI tools
Comfortable experimenting, learning, and improving ideas through evidence and feedback
Can spot patterns, synthesise insights, and turn them into clear recommendations
Excited by technology but not intimidated by technical concepts or teams
Want to help shape the future of AI-powered customer experiences

Skills

AI
Generative AI
Machine Learning
Digital Product Development
Product Management
Data Analytics
Customer Experience
Conversational Search
Search Technologies
Natural Language Processing (NLP)
Conversational AI
Product Management methodologies
Agile Scrum
Kanban
Recommendation systems
SQL
Power BI
Adobe Analytics
AI evaluation
Prompt engineering
Model performance testing
User research
Customer analytics
Experimentation frameworks

Location

Remote

Work Type

Apprenticeship
Full-time

Experience Level

Graduate

Education Level

Data Analytics
Business Analytics
Computer Science
Data Science
Mathematics
Statistics
Economics
Psychology
Marketing Analytics
Business Management
Related discipline

Benefits

A recognised Level 5 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

About the Company

At RS Group, we're investing in the future of Artificial Intelligence and digital customer experiences.
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.