About the Role
This role offers an exciting opportunity to join the Customer Experience (CX) Team as an AI Product Analyst. You will help shape the next generation of AI-powered customer journeys while working towards a Level 6 Machine Learning apprenticeship qualification. You'll work at the intersection of Artificial Intelligence, Product Management, Data Analytics, and Customer Experience, developing AI-powered capabilities to enhance customer product discovery and information access across digital channels. Initially focused on Conversational Search, you will collaborate with various teams to shape AI use cases, support experimentation, analyze performance, validate AI outputs, and drive continuous improvement.
Responsibilities
- Support the development of Proof of Concepts across the Customer Experience function and portfolio.
- Conduct exploratory data analysis on large, complex or fast‑moving datasets.
- Support applied research and prototype development for AI & Machine Learning solutions.
- Assist with building and validating predictive, statistical or machine‑learning models.
- Contribute to data engineering workflows, including data preparation and pipeline optimisation.
- Support Machine Learning Operation practices such as model deployment, monitoring and performance tracking.
- Build dashboards, reporting tools and visual analytics that communicate insights clearly.
- Apply best practice in data ethics, governance and regulatory compliance.
- Work with cross‑functional teams to translate business needs into analytical solutions.
- Engage in continuous learning and stay current with emerging AI and data science trends.
Requirements
- Strong analytical and problem-solving abilities.
- Confidence working with data and drawing meaningful insights.
- Excellent communication and stakeholder management skills.
- Strong organisational skills with the ability to manage competing priorities.
- Understanding of Product Management principles, including backlog management and requirements gathering.
- Ability to translate business needs into clear product requirements.
- Interest in AI, Generative AI, Machine Learning, and Conversational Experiences.
- Experience working with data, reporting, and analytical tools.
- A proactive mindset with a willingness to challenge existing thinking and learn new skills.
- Experience or exposure to AI, Machine Learning, or Data Science projects.
- Experience or exposure to Natural Language Processing (NLP) or Conversational AI.
- Experience or exposure to Agile Scrum or Kanban methodologies.
- Experience or exposure to Search technologies, information retrieval, or recommendation systems.
- Experience or exposure to SQL, Power BI, Adobe Analytics, or similar analytical tools.
- Experience or exposure to AI evaluation frameworks, prompt engineering, or model performance testing.
- Experience or exposure to User research, customer analytics, or experimentation frameworks.
Skills
- Data Analytics
- Business Analytics
- Computer Science
- Data Science
- Mathematics
- Psychology
- Economics
- Technology
- AI
- Emerging technologies
- Data analysis
- Problem-solving
- Customer behaviour analysis
- Digital experiences
- Generative AI
- Machine Learning
- Search Technologies
- Digital Product Development
- Conversational Search
- Product Management
- Data Analytics
- Customer Experience
- Data Engineering
- Machine Learning Operations
- Dashboard building
- Reporting tools
- Visual analytics
- Data ethics
- Data governance
- Regulatory compliance
- Natural Language Processing (NLP)
- Agile Scrum
- Kanban methodologies
- Information retrieval
- Recommendation systems
- SQL
- Power BI
- Adobe Analytics
- AI evaluation frameworks
- Prompt engineering
- Model performance testing
- User research
- Customer analytics
- Experimentation frameworks
Experience Level
- Graduate
Education Level
- Data Analytics
- Business Analytics
- Data Science
- Computer Science
- Mathematics
- Statistics
- Economics
- Psychology
- Marketing Analytics
- Business Management
- Related discipline
Benefits
- A recognised Level 6 apprenticeship qualification.
- Structured development and mentoring.
- Exposure to cutting-edge AI and customer experience technologies.
- Hands-on experience working on real AI products and innovation projects.
- 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, Customer Experience, and Digital Product roles.
About the Company
- 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, solve problems, and find solutions faster and more effectively.
