The team at MRJ Recruitment are partnering with a fast-scaling, innovation-led business making significant investment across Data Science, AI and intelligent automation, with a clear mission to turn data into a core commercial growth engine.
This is a rare opportunity for an ambitious Data Science leader to build and shape a function with genuine executive backing, modern infrastructure and the freedom to define strategy, architecture and capability from the ground up.
The business is entering a major phase of AI adoption, focused on creating intelligent systems that connect raw data with live commercial outcomes, spanning product intelligence, pricing optimisation, recommendation engines, automated creative generation and next-generation search experiences.
The Opportunity
As the Head of Data Science, you’ll lead the evolution of advanced ML and agentic AI capabilities across the organisation, driving automation, experimentation and real-time decision‑making at scale.
You’ll operate at the intersection of commercial strategy, machine learning and AI innovation, building systems that reduce manual intervention, improve performance and unlock entirely new revenue opportunities.
This is not a role focused on maintaining legacy models or managing incremental change. You’ll define the vision, influence senior stakeholders, grow a high‑performing Data Science capability and help establish AI as a true competitive advantage for the business.
What You’ll Be Doing
Leading and scaling a commercially focused Data Science function
Driving the development of ML powered Martech, Search, Pricing & Recommendation systems
Building intelligent agentic workflows and automation capabilities
Owning experimentation strategy, model optimisation and AI innovation
Collaborating with Product, Engineering and Commercial teams to embed Data Science into core decision-making
Shaping scalable MLOps and ML infrastructure within AWS environments
Mentoring and developing a technically strong team of Data Scientists and ML Engineers
Influencing long‑term AI strategy and roadmap at leadership level
What We’re Looking For
Proven leadership experience within Data Science or Machine Learning environments
Strong background in Python and production-level ML engineering
Hands‑on experience with PyTorch and deploying scalable ML models
Expertise in recommendation systems, pricing models or personalisation engines
Strong understanding of MLOps, experimentation frameworks and ML infrastructure
Experience operating within AWS cloud environments
A commercially minded approach to AI, modelling and automation
Track record of building, mentoring and scaling high‑performing DS teams
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