Academic Tutor in Data Science and Analytics

Job description

Academic Tutor in Data Science and Analytics

College of Business, Tech. & Engineering

Academic

Grade 6, £32,722 to £39,560 depending on experience

Computing, data science and data analytics are disciplines that drive innovation, optimize decision-making, and enable smarter solutions across sectors. We are seeking an outstanding multidisciplinary academic tutor with ability to leverage and teach data science and analytics, and their importance in driving scalable analytical solutions on our UG/PG programmes.

We're really proud of our work environment, undergraduates, postgraduates, and research students work together alongside academic and support staff. The way we teach here is non-traditional, you won't be handed a menu of content to serve up to the students. Instead, we follow an applied, project-based approach to learning.

You'll spend most of your classroom time helping students work on their own projects, which are run in the same way as in the IT industry. You and your students will always be connected to what's going on in the real world.

Join our team and you'll gain access to extraordinary facilities and equipment, such as:

• The world's largest PlayStation development lab.
• Cyber security labs with the latest forensic equipment.
• Largest user of Microsoft Azure Lab services in the UK, bringing with it access to a wealth of cloud-based teaching resources.

You'll also have some unique colleagues, in the shape of our humanoid robots Nao and Pepper and our pet robot dog MiRo.

*** This is a rolling advert and may close earlier than advertised but no earlier than the 11th November. Applications will be processed at regular intervals.

We offer a diverse range of benefits and opportunities to pursue a rewarding and fulfilling career in a supportive environment.

The University currently enrols eligible academic staff into the Teachers' Pension Scheme (TPS), a defined-benefit pension scheme.

Find out more about the TPS

We welcome applications for job-share, part-time and flexible working arrangements.

To find out more, take a look at our

guide to applying.

We recommend you download the job description and person specification when you apply, as this will not be available once the job has closed.

The University may be able to sponsor the employment of international applicants in this role; this will depend on a number of factors specific to the individual applicant. You are advised to assess your eligibility against the criteria set out in the UKVI Guidance before applying.

Accessibility

We are committed to ensuring our materials are accessible to all. If you encounter any accessibility barriers or have suggestions for improvement please contact us using our web accessibility report form. Your feedback helps us enhance our accessibility efforts and improve our services.

Contact Person : Dr Vishal Parikh
Contact Number : 0114 225 6830

Date Advertised : 30-Oct-2026
Closing Date : 15-Nov-2026

Employment Type : Permanent - Full Time

Contact Email : [email protected]
Job number : 120667