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AI & Property Data Scientist - KTP Associate

University of Exeter - Faculty of Environment, Science and Economy

Location: Exeter, Hybrid
Salary: £33,951 to £43,482 on Grade E or Grade F depending on qualifications, skills and experience
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 4th September 2026
Closes: 2nd October 2026
Job Ref: 1296

About The Role

This is a full time position available from immediately on a 28-month fixed term contract.

The role:

An exciting opportunity has become available to work on a 28-month Knowledge Transfer Partnership (KTP) between the University of Exeter and Intelligent AI Limited. The KTP will support the development and commercialisation of an AI-driven platform that automatically converts UK planning application drawings into structured building data, enabling insurers, brokers and property owners to improve risk assessment and generate more accurate reinstatement cost estimates through enhanced insight into internal property layouts.

The successful candidate will be employed by the University of Exeter and will spend the majority of their time working remotely in the Exeter region, with occasional visits to the University of Exeter and Exeter Science Park.

Company Information

Intelligent AI Limited is a fast-growing, highly innovative UK InsurTech and PropTech scale-up, using AI, advanced property data and risk intelligence to transform how insurers understand and manage property risk. The company works closely with leading insurers, brokers and technology partners and has strong connections across the Lloyd’s of London insurance market and wider UK insurance ecosystem. Recognised through major insurance innovation programmes, Intelligent AI offers the opportunity to work at the intersection of AI, property technology, financial services and real-world commercial innovation.

More information about Intelligent Ai Ltd can be found here: https://www.intelligentai.co.uk/ 

Qualification / skills we require:

  • Educated to first degree level, a good Master’s Degree or Doctorate in Computer Science, AI, Computer Vision, or in a related field of study or equivalent experience
  • Strong programming capability using Python.
  • Experience with machine learning & computer vision frameworks.
  • Familiarity with multimodal data processing & document analysis techniques.
  • Strong analytical & problem‑solving skills, with ability to interpret complex datasets.
  • Excellent written & verbal communication skills, with the ability to explain complex technical concepts to mixed academic & industrial audiences both in person & online.
  • Ability to work effectively within a multidisciplinary academic–industry team, with commercial awareness.
  • Experience of managing research projects or contributing significantly to collaborative research.
  • Well‑organised, self‑motivated able to prioritise work independently within a project framework.
  • Enthusiasm for hands‑on experimental work alongside computational modelling.
  • Adaptable & able to work effectively in a fast‑paced SME environment.
  • Understanding of health & safety requirements & good research record‑keeping practices.
  • Commitment to equality, diversity & inclusive working practices.
  • Willingness to travel to Exeter for face to face meetings with Intelligent AI, with visits to the University of Exeter as required & flexibility to meet project demands.

Benefits:

  • A £4,667 training budget with 10% of your working time dedicated to personal development.
  • A unique & challenging career opportunity, working with both industry & academia.
  • For the right candidate there will be the opportunity to create an impactful & rewarding career with Intelligent AI after this project is complete.
  • The successful applicant will develop a wide range of industrial & research skills for their future career, utilising the skills & knowledge of company supervisors, as well as benefitting from continuous academic support.
  • The opportunity to manage & lead on a project early on in your career.
  • Specific KTP residential training.
  • The possibility to write academic papers & present at conferences.

Before submitting an application you may wish to discuss the post further by contacting Dr Zeyu Fu – Z.Fu@exeter.ac.uk at University of Exeter or email Sarah Brooks -sarah.brooks@intelligentai.co.uk at Intelligent AI Ltd.

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