Data Scientist and AI Engineer on KTP Project with Carpenters Group

University of Liverpool
Liverpool
1 month ago
Applications closed

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Data Scientist and AI Engineer on KTP Project with Carpenters Group

We are seeking to appoint a highly qualified and motivated individual to undertake a role as a data scientist and AI engineer, working on an Innovate UK funded, three-year collaborative project between Carpenters Group and the School of Computer Science and Informatics. Carpenters are a market‑leading insurance legal services provider. Within Carpenters, and a team from the School, you will realise a programme of work to automate a number of legal processes and build tools involving AI technologies related to Machine Learning, Natural Language Processing, Neurosymbolic Computing and Explainable AI. You will work within a research‑based commercial environment to build a commercial product based on the state‑of‑the‑art AI and data science technology.


Responsibilities

  • Lead the design and implementation of AI solutions for legal process automation.
  • Conduct high‑quality research to develop novel machine learning, NLP, and neuroscience‑inspired models.
  • Translate research outcomes into robust software engineering practices and production‑ised products.
  • Collaborate with cross‑functional teams across Carpenters and the School of Computer Science and Informatics.
  • Advise on AI governance, ethics, and explainability requirements.

Qualifications

  • At least an MSc in computer science or closely related subject; PhDs preferred.
  • Demonstrated experience conducting high‑quality computer science research.
  • Strong software engineering and programming skills.

Compensation and Benefits

The salary will be enhanced by a substantial annual training budget to support the post holder’s professional development. The post is available for 3 years and is based at Carpenters office in Liverpool.


Diversity Commitment

The University of Liverpool is committed to enhancing workforce diversity. We actively seek to attract, develop, and retain colleagues with diverse backgrounds and perspectives. We welcome applications from all genders/gender identities, Black, Asian, or Minority Ethnic backgrounds, individuals living with a disability, and members of the LGBTQIA+ community.


Position Details

  • Seniority level: Entry level
  • Employment type: Full‑time
  • Job function: Engineering and Information Technology
  • Industry: Higher Education


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