Data Science Practitioner - AI & Data

Overview

We are seeking a Data Science Practitioner to join an established AI & Data team, working on a large-scale delivery unit programme. The role offers the opportunity to design, build and deliver AI/ML-driven decision-making solutions that directly support business outcomes.

You will act as a subject matter expert, contributing to technical strategy, leading delivery decisions, and collaborating closely with multiple teams across the organisation.

Key Responsibilities

• Design, develop and deliver AI/ML-based decision-making frameworks and models aligned to business objectives
• Measure, validate and articulate the value and impact of AI/ML solutions
• Lead and contribute to technical and delivery decisions within your team and across multiple teams
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing platforms, systems and workflows
• Evaluate AI/ML frameworks and models to ensure performance, scalability and alignment with business requirements
• Stay up to date with emerging AI/ML technologies and best practices and apply innovations where appropriate
• Mentor and guide team members on AI/ML implementation, data science best practices and delivery standards

Required Skills & Experience

• Advanced proficiency in Machine Learning
• Advanced Data Science experience, including model design, evaluation and deployment
• Strong understanding of AI/ML solution delivery within enterprise environments
• Experience working collaboratively across multiple teams and stakeholders
• Ability to take ownership of technical direction and team-level decisions

Desirable/Recommended Skills

• Intermediate experience with Amazon SageMaker
• Exposure to Retrieval-Augmented Generation (RAG)
• Understanding of Model Context Protocol
• Experience working within a structured Software Development Life Cycle (SDLC)

Technical Skills (Release Comments)

Required:

• Java
• Testing frameworks (TDD/BDD)
• Kubernetes
• Terraform
• Oracle Database

Nice to Have:

• Basic AI concepts
• Data Lake technologies
• Databricks

Personal Attributes

• Strong analytical and problem-solving skills
• Comfortable working in complex, multi-team environments
• Confident communicator, able to explain technical concepts to both technical and non-technical stakeholders
• Proactive, delivery-focused and able to mentor others