Senior Lecturer in Data Science

Join to apply for the Senior Lecturer in Data Science role at York St. John University

Full time permanent
Location: York
Salary: £48,822 to £59,966 per annum

York St John is an ambitious, modern university at the heart of historic York and there has never been a more exciting time to join us. As one of the fastest growing universities in the UK over recent years, we have a new strategy for the next decade, emphasising our commitment to widening opportunity through the power of education and contributing our talents to creating a fairer world, and a more prosperous region. We are putting inspirational learning and impactful research at the heart of this strategy, recognising our academic expertise as our greatest asset.

We are seeking an enthusiastic, adaptable and motivated individual to join our developing Computing and Data Science team in the York Business School. Successful candidates will be able to contribute to developing and delivering teaching related to the Data Science Degree Apprenticeship and should preferably have expertise in machine learning, AI, big data analytics or cloud computing. You will hold a relevant PhD, be research active and have an established record of research activity and publications. Relevant industry experience would be an advantage.

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• A doctoral degree in Data Science, Computer Science, Statistics, AI, or a closely related discipline
  
• Demonstrable experience teaching at the higher education level, ideally with experience in apprenticeship or work-based learning settings
  
• Strong technical competence in data science domains (e.g. machine learning, big data analytics, data engineering, programming languages such as Python, R, and SQL)
  
• Evidence of research activity and scholarly engagement in data science or a related field, with the potential to contribute to the School’s research portfolio.
  
• A commitment to inclusive pedagogy and supporting diverse learner needs
  

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• Fellowship (or eligibility) with the Higher Education Academy (Advance HE)
  
• Previous experience leading modules and contributing to curriculum design within data science, analytics, or related fields
  
• Experience collaborating with employers, industry partners or stakeholder organisations
  

For informal enquiries please contact Dr Waseem Ahmad via email at . It is anticipated that the selection process will include an interview and presentation. Further details will be provided if you are shortlisted. This role is eligible for Skilled Worker Visa sponsorship subject to UKVI criteria being fulfilled. We offer a range of family friendly and inclusive policies and facilities and welcome applications from individuals from underrepresented backgrounds. As part of our commitment to providing an inclusive working environment, consideration is given to all requests for job share or flexible working arrangements.

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• Excellent annual leave entitlement, including five discretionary university closure days over the Christmas period
  
• Disability leave (applies to staff who have disclosed a disability and is also available to staff with disabled dependants)
  
• Pension scheme
  
• Health Cash Plan after six months service
  
• Employee Assistance Programme
  
• Paid leave for Armed Forces Reservists
  
• On‑campus courses, one‑to‑one tutorials, and online resources to help you develop your digital skills and work with new software
  
• Relocation expenses package for certain roles
  
• Reimbursement of Skilled Worker Visa application fees and Visa loan scheme for additional costs (if applicable to the role)
  

Tuesday 28 October 2025 at midnight

Wednesday 12 November 2025