University Teacher in Data Science

Dunhillmedical; Sheffield; Hybrid; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Annual leave entitlement

Generous pensions scheme

Flexible working opportunities

Retail discounts

Job summary

The University of Sheffield invites applications for a University Teacher in Data Science in the Information, Journalism & Communication School. You will design and deliver lectures and workshops for Data Science undergraduate and postgraduate programs, supervise dissertations, and contribute to assessments.

The role emphasizes fairness, ethics, and accessibility in teaching within a flexible hybrid working environment.

Qualifications

• Industry related experience or PhD in relevant subject area.
• Ability to design and deliver high quality, research-led teaching.
• Commitment to embedding FATES principles in data science teaching and research.
• Experience supervising undergraduate and postgraduate students.
• Ability to organise resources and plan workloads.
• Demonstrated commitment to equality, diversity and inclusion.

Responsibilities

• Design, deliver, assess, and evaluate Data Science programmes.
• Prepare and implement student assessments, including marking.
• Undertake academic tutor/pastoral responsibilities for undergraduate and postgraduate students.
• Carry out module and course evaluation with feedback and improvements.
• Conduct personal scholarship and keep up-to-date with literature.
• Contribute to School/Faculty/University administration as needed.
• Ensure digital accessibility of teaching materials for all learners.
• Promote sustainability and ethical considerations in teaching and research.

Skills

Lecture delivery

Assessment design

Student supervision

Curriculum development

FATES ethics Principles

Education

PhD in Data Science or related field

Tools

Learning management systems

Job description

Job Title: University Teacher in Data Science

Posting Start Date: 21/10/2026

Job Id: 3222

School/Department: Information, Journalism & Communication

Work Arrangement: Full Time (Hybrid)

Contract Type: Fixed-term

Closing Date: 04/11/2026

The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university.

We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more. Find out more about our benefits (opens in a new window) and join us to become part of something special.

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:

News and Social Media Analytics, Big Data Analytics, Database Design and Data Mining and AI. You will also carry out supervision of UG dissertation projects.

As a School we are committed to embedding FATES (fairness, accountability, transparency, ethics, safety and security) principles into data science teaching and research.

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

Stage(s) assessed at

Industry related experience and expertise in a relevant field, or a PhD in a relevant subject area (or working towards a PhD).

Application

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.

Application/interview

A commitment to embedding FATES (fairness, accountability, transparency, ethics, safety and security) principles into data science teaching and research.

Application/interview

Experience of critically reviewing and assessing existing teaching programmes and own teaching practice with evidence of positive change / impact.

Application/interview

Experience of supervising undergraduate and postgraduate students.

Application/interview

Experience of pastoral and academic support.

Application/interview

An ability to lead teaching and to collaborate effectively with others.

Application/interview

Knowledge and experience of technologies to support learning and teaching.

Application/interview

Ability to organise resources, plan and progress work activities. Ability to analyse and solve problems with an appreciation of longer term implications.

Application/interview

A demonstrable commitment to promoting and embedding equality, diversity and inclusion principles and practices.

For informal enquiries about this job contact Leo Appleton, School Director of Education: on [e-mail] or on 0114 222 2633

Next steps in the recruitment process

It is anticipated that the selecti on process will take place in early November. This will consist of an interview. We plan to let candidates know if they have progressed to the selection stage within 2 weeks of the closing date. 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]

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.

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 emerge ncies

support for those going through the menopause

paid time off and support for fertility treatment

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.

Possession of a criminal record is not an automatic bar to employment at the University of Sheffield. We recognise the value of steady employment in the rehabilitation process and examine each case in its own right. More information can be found on our Information for candidates page:- sheffield.ac.uk/jobs/candidates (opens in a new window).

We are a research university with a global reputation for excellence. Our ideas and expertise change the world for the better, making a real difference to society. We know that when people come together with different views, approaches and insights it can lead to richer, more creative and innovative teaching and research and the highest levels of student experience. Our University Vision ( www.sheffield.ac.uk/vision ) outlines our commitment to building a diverse community of staff and students that recognises and values the abilities, backgrounds, beliefs and ways of living for everyone.

The University of Sheffield
Western Bank
Sheffield
S10 2TN
[phone]