Senior Lecturer in Data Science

CAPTION: Job details

• Posting date: 10 June 2025


• Salary: £48,149 to £59,139 per year


• Hours: Full time


• Closing date: 24 June 2025


• Location: York, North Yorkshire


• Remote working: On-site only


• Company: York St John University


• Job type: Permanent


• Job reference: 072-24-R2

Summary

Full time permanent

Location: York

Salary: £48,149 to £59,139 per annum

Introduction to YSJ University

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 U.K 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.

The Role

We are seeking an enthusiastic, adaptable and motivated individual to join our developing Computer and Data Science team in the School of Science, Technology & Health. Successful candidates will be able to contribute to developing and delivering teaching related to the data science degree apprenticeship and have expertise in one or more of the following: machine learning, AI, big data analytics and / or cloud computing. You will hold a relevant PhD, be research active and have a developing record of publications. Relevant industry experience would be an advantage.

Additional Information

For informal enquiries please contact Dr Julian Thompson via e-mail at J.Thompson4@yorksj.ac.uk

This role is eligible for Skilled Worker Visa sponsorship. For further information regarding this visa route please visit Skilled Worker visa: Overview - GOV.UK.

It is anticipated that the selection process will include an interview and presentation. Further details will be provided if you are shortlisted for interview.

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.

Application process support

We are keen to support you throughout the recruitment process. Before starting your application please refer to the attached candidate application form guidance below which provides advice about completing the application process.

If you require a reasonable adjustment in order to apply for this position please contact vacancies@yorksj.ac.uk. Within the application form there is an opportunity for you to request a reasonable adjustment at the interview stage of the process, however if you wish to discuss this in further detail at any point in the process please do not hesitate to contact us. The following resource may help you adapt the device you are using to apply to suit your needs My Computer My Way.

Please note that CVs are not accepted in place of the application form. Within the application process you will be asked to answer a selection of work-related questions. Our aim is to get to know you, and understand your individual skills and experience, and how you would apply these within the role. We are aware that AI can assist you with this, but we would prefer you to share your answers in your own words.

Our benefits package

We offer a wide range of employee benefits including:

• 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)

Proud member of the Disability Confident employer scheme

Disability Confident

About Disability Confident: A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people.

#s1-Gen

We are seeking an enthusiastic, adaptable and motivated individual to join our developing Computer and Data Science team in the School of Science, Technology & Health. Successful candidates will be able to contribute to developing and delivering teaching related to the data science degree apprenticeship and have expertise in one or more of the following: machine learning, AI, big data analytics and / or cloud computing. You will hold a relevant PhD, be research active and have a developing record of publications. Relevant industry experience would be an advantage., This role is eligible for Skilled Worker Visa sponsorship. For further information regarding this visa route please visit Skilled Worker visa: Overview - GOV.UK (www.gov.uk)., Disability Confident
About Disability Confident
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to .

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 U.K 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.

Please note that CVs are not accepted in place of the application form. Within the application process you will be asked to answer a selection of work-related questions. Our aim is to get to know you, and understand your individual skills and experience, and how you would apply these within the role. We are aware that AI can assist you with this, but we would prefer you to share your answers in your own words.

Our benefits package

We offer a wide range of employee benefits including -

- 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)