Overview
Develop AI solutions that drive commercial business decisions. We are looking for a highly capable machine learning specialist to lead the development of a next‑generation retail insight platform, combining advanced analytics with real‑world commercial decision‑making. This is not a typical data science role!
About the role
This Knowledge Transfer Partnership (KTP) brings together The Tapestry Agency, a leading retail analytics consultancy, and the University of Bath, a top UK research institution in AI and machine learning. You will be at the centre of this collaboration, applying cutting‑edge research to build production‑ready AI systems that directly influence international business strategy and client outcomes.
Responsibilities
- Design, develop and validate machine learning models and decision systems.
- Work with complex, multi‑source retail datasets.
- Translate technical outputs into actionable commercial insights.
- Collaborate with engineers to embed models into a scalable platform.
- Lead project planning, delivery and stakeholder engagement.
- Transfer knowledge into the business through training and documentation.
Benefits
- Structured KTP training and leadership development.
- A dedicated £2,000 yearly personal development budget.
- Mentorship from leading academics and experienced industry professionals.
- Opportunities to publish research and build your professional profile.
- Fixed‑term hybrid role for 29 months with monthly travel to Swindon.
- Personal development budget and training sessions.
About you
We’re looking for someone who combines strong technical capability with curiosity and commercial awareness. As the KTP Associate, you will act as the project lead, responsible for delivering the full lifecycle of the project.
Equity, diversity and inclusion
We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and we truly believe that diversity of experience, perspectives and backgrounds will lead to a better environment for our employees and students and encourage applications from all genders, backgrounds and communities, particularly from under‑represented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment.
Other information
Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage.Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name may be removed from application forms at the initial shortlisting stage.
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