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About the Role

This role is at the intersection of Artificial Intelligence, Product Management, Data Analytics, and Customer Experience. You will help develop AI-powered capabilities to enhance customer product discovery and solutions across digital channels. Initially focused on Conversational Search, you will collaborate with various teams to shape AI use cases from concept to delivery, supporting experimentation, performance analysis, and continuous improvement of AI-powered customer experiences. This is an ideal opportunity for graduates interested in Generative AI, Machine Learning, Search Technologies, Data Analytics, and Digital Product Development.

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.
Ability to understand 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 working in ambiguity and helping shape new capabilities from the ground up.
Ability to spot patterns, synthesise insights, and turn them into clear recommendations.
Excited by technology but equally interested in the customer experience behind it.
Desire to help build the future of AI-powered customer journeys.

Skills

AI
Generative AI
Machine Learning
Conversational Experiences
Data Analytics
Product Management
Data Analysis
Problem-solving
Stakeholder Management
Organisational Skills
Backlog Management
Requirements Gathering
Reporting Tools
Visual Analytics
Data Ethics
Data Governance
Regulatory Compliance
Natural Language Processing (NLP)
Agile Scrum
Kanban
Search Technologies
Information Retrieval
Recommendation Systems
SQL
Power BI
Adobe Analytics
AI Evaluation Frameworks
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
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 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, solve problems, and find solutions faster and more effectively.