Academic Tutor in Data Science and Analytics
| Company: | Sheffield Hallam University |
|---|---|
| Salary: | £32,722 to £39,560 a year |
| Hours: | Full-time |
| Location: | Sheffield, S1 1WB |
| Working pattern: | On-site |
| Job type: | Permanent |
| Posting date: | 2 Nov 2026 |
| Closing date: | 14 Nov 2026 |
Summary
The role
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.
The department
The School of Computing and Digital Technologies is a large and vibrant school engaged in taught programs, research and innovation, and knowledge exchange. All our UG and PG programs are underpinned by project-based learning, which facilitates embedding industry experience across all the programs. The school is home to the multi-disciplinary team that composes the Smart Interactive Technologies lab, which focuses on innovative research and developments investigating all the aspects of modelling and applying physical and intelligent systems, which coexist harmoniously.
The School of Computing and Digital Technologies is in the top ten biggest computing departments in the UK, with more than 2,000 students and nearly 100 staff.
Our size means we can cover a lot of ground.
We teach topics including:
• computer science
• data analytics
• computer games development
• AI
• machine learning
• cyber security
• cyber forensics
• advanced computer networking
• smart technologies.
Our department is located right at the heart of Sheffield city centre, putting you right in the middle of this industry. Sheffield is home to a thriving digital and tech industry, employing over 21,000 people and generating billions of pounds in the region.
Alongside our many connections with digital and tech businesses, we conduct our own work in industry. Steel Minions is our commercial games development studio, where students create and publish their own games on the PlayStation store. We’re also home to the Centre of Excellence in Terrorism, Resilience, Intelligence and Organised Crime (CENTRIC), working with government, police, and private companies to increase our security.
Our students also work on live projects with businesses as part of their course, so there are plenty of opportunities to collaborate and set projects with industry, from Sheffield’s many IT firms to the biggest names in computing. It’s not just the students who’ll be building networks and furnishing their CVs.
*** 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.
Essential requirements
• Postgraduate qualification and/or equivalent professional experience in a relevant discipline. • Postgraduate teaching qualification (PG Cert or HEA fellowship) or a commitment to complete the PGCert in Higher Education.
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