University of Leeds
Teaching Fellow in Data Science and Statistics
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Teaching Fellow in Data Science and Statistics
Are you an enthusiastic teacher, committed to delivering a first-class learning and teaching experience with a proven ability to teach effectively at undergraduate and postgraduate levels?
Do you want to contribute to a Russell Group University, where passion for delivering exceptional student experiences aligns with research-led teaching and management of education? We seek highly motivated Data Science and Statistics professionals ready to join the School of Mathematics at the University of Leeds.
About the Role
You will play a pivotal role in supporting the School’s teaching, student education, and leadership for curriculum enhancement. Your responsibilities include:
- Contributing to online teaching and digital education, particularly for global distance-learning cohorts
- Supporting the development of mathematics education for the digital age
- Engaging in innovative practices aligned with the London Mathematical Society Good Practice Scheme
- Joining the Prime initiative (Practice-based Research in Mathematics Education), enhancing teaching strategies and student governance
- Potential collaborative work within the Department of Statistics
The School of Mathematics offers tailored induction and professional development opportunities, enabling career growth while fostering a culture of excellence.
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Key Responsibilities
- Develop and deliver online teaching materials aligned with version 2.0 enhanced curriculum
- Collaborate on interdisciplinary research-led initiatives, including digital education, online learning techniques, blended learning strategies, student evaluation processes, and mathematics education
- Act as a mentor and pedagogical leader, contributing to teaching improvement within the School
- Contribute to projects linked with the Department of Prime and Department of Statistics
- Participate in faculty governance, supporting academic operations and student success
- Engage in continual professional development through institutional training programs
Requirements & Qualifications
- Enthusiasm for experiential and discovery-based learning, especially in mathematics, statistics, and/or data science
- Proven ability to deliver effective undergraduate and postgraduate teaching, with prior experience in online learning preferred
- Commitment to engaging with emerging trends in digital education while maintaining high academic rigor
- Desire to contribute to multidisciplinary research and pedagogy in teaching, learning, evaluation, and assessment
- Strong willingness to liaise with School Executives, Prime members, and Department of Statistics colleagues
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What We Offer in Return
- Competitive benefits for academic roles:
- 42 days holiday + additional bank holidays (University closures included)
- Generous pension scheme (14.5% University contribution)
- Flexible working options, including family-friendly policies
- Health & Wellbeing support, including discounted access to state-of-the-art campus facilities
- Personal development opportunities, including language courses, creative writing, and wellbeing therapies
- Access to on-campus childcare, shopping discounts, and travel schemes
- Inclusive environment: The Faculty of Engineering & Physical Sciences holds an Athena Swan Silver Award (commitment to recruiting, retaining, and supporting women in SET).
How to Apply
To explore this exciting role or inquire further, please contact:
Dr Philip Walker (Head of Prime) → P.Walker@leeds.ac.uk Dr Stuart Barber (Head of Department of Statistics) → S.Barber@leeds.ac.uk Professor Clare Dunning (Head of School of Mathematics) → T.C.Dunning@leeds.ac.uk
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