University Teacher in Data Science

University of Sheffield; Sheffield; On-site; GBP 48,000 - 59,000; Full time

Job summary

A leading educational institution in the UK seeks a University Teacher to contribute to the Data Science programmes. Responsibilities include designing and delivering teaching sessions, assessing student work, and supervising dissertation projects. Essential requirements include relevant industry experience or a PhD, commitment to embedding fairness principles in teaching, and the ability to design high-quality assessments. The position offers a competitive salary and generous benefits, promoting a culture of respect and inclusivity.

Benefits

41 days annual leave

Flexible working opportunities

Generous pension scheme

Discounts on shopping and travel

Support for family-friendly policies

Qualifications

• Experience of supervising undergraduate and postgraduate students.
• Ability to assess students and provide effective feedback.
• Experience in critically reviewing existing teaching programmes.

Responsibilities

• Design, deliver, assess, and evaluate campus based Data Science programmes.
• Prepare and implement student assessments.
• Conduct personal scholarship and contribute to operational responsibilities.

Skills

Industry related experience

Ability to design and deliver high quality teaching

Commitment to FATES principles

Ability to collaborate effectively

Knowledge of technologies to support learning

Organizational and planning skills

Education

PhD in relevant subject area (or working towards)

Job description

Overview

As University Teacher you will play a key role in contributing to, and maintaining, the School’s portfolio of research‑led, high‑quality teaching. You will be expected to provide lectures and workshops to campus‑based students, and to produce and mark assessments on core and optional modules across our Data Science UG and PGT programmes such as:

• Data Analysis
• Big Data Analytics
• Communicating Data
• Data Translation
• Data Modelling
• Databases and Beyond
• Practical Programming for Data Science
• User Centred Design and Human Computer Interaction

You will also carry out supervision of UG and Masters dissertation projects.

Main duties and responsibilities

• Design, deliver, assess, and evaluate campus based Data Science programmes. This will include identifying learning objectives, selecting appropriate curricula and teaching methods.
• Prepare and implement student assessments, which will include designing assessment criteria, marking and ensuring adequate moderation.
• Undertake academic tutor/pastoral responsibilities for undergraduate and postgraduate students.
• Carry out module and course evaluation, including facilitating student feedback; reflecting on own teaching design and delivery; and implementing ideas for improving own performance.
• Conduct personal scholarship; identifying literature and updating own knowledge; assessing the validity of the literature and its contribution to the development of own field as well as developments in practice in your area of expertise.
• Contribute to the operations of the School, the Faculty and the wider University community through administrative responsibilities and committee memberships as and when appropriate.
• Ensure digital accessibility of teaching materials by ensuring that content, activities and all their components are accessible to all, in order to remove barriers to learning.
• As a member of staff you will be encouraged to make ethical decisions in your role, embedding the University’s Sustainability strategy into your working activities wherever possible.
• Carry out other duties, commensurate with the grade and remit of the post.

Person Specification

Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply.

Criteria

Essential and Desirable:

• Industry related experience and expertise in a relevant field, or a PhD in a relevant subject area (or working towards a PhD). – Stage(s) assessed at Application – Essential
• Ability to design and deliver high quality, research led teaching programmes to ensure effective learning. Ability to design and deliver high quality, innovative assessment, to assess students and provide effective feedback. – Stage(s) assessed at Application – Essential
• A commitment to embedding FATES (fairness, accountability, transparency, ethics, safety and security) principles into data science teaching and research. – Stage(s) assessed at Application/interview – Essential
• Experience of critically reviewing and assessing existing teaching programmes and own teaching practice with evidence of positive change / impact. – Stage(s) assessed at Application/interview – Desirable
• Experience of supervising undergraduate and postgraduate students. – Stage(s) assessed at Application/interview – Desirable
• Experience of pastoral and academic support. – Stage(s) assessed at Application/interview – Desirable
• An ability to lead teaching and to collaborate effectively with others. – Stage(s) assessed at Application/interview – Essential
• Knowledge and experience of technologies to support learning and teaching. – Stage(s) assessed at Application/interview – Essential
• Ability to organise resources, plan and progress work activities. Ability to analyse and solve problems with an appreciation of longer term implications. – Stage(s) assessed at Application/interview – Essential

Further Information

• Grade: 8
• Salary: £48,822 – £58,225
• Work arrangement: Full‑time
• Duration: 02/02/2026 – 31/03/2027
• Line manager: TBC
• Direct reports: None
• Website: https://sheffield.ac.uk/ijc
• For informal enquiries about this job contact Leo Appleton, School Director of Education: [e-mail]

Next steps in the recruitment process

It is anticipated that the selection process will take place in the week commencing 19 January 2026. This will consist of an interview. We plan to let candidates know if they have progressed to the selection stage in the week commencing 5 January. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact [e-mail].

What we offer

• A minimum of 41 days annual leave including bank holiday and closure days (pro rata) with the ability to purchase more.
• Flexible working opportunities, including hybrid working for some roles.
• Generous pension scheme.
• A wide range of discounts and rewards on shopping, eating out and travel.
• A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks).
• Recognition Awards to reward staff who go above and beyond in their role.
• A commitment to your development access to learning and mentoring schemes; integrated with our Academic Career Pathways.
• A range of generous family‑friendly policies
• Paid time off for parenting and caring emergencies.
• Support for those going through the menopause.
• Paid time off and support for fertility treatment.
• and more

We are a Disability Confident Employer

If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the selection process.