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Lancaster University

Teaching Fellow in Business Analytics - 0638-26

Lancashire
£48.8k – £56.6k/yr
Posted 1 day ago
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Teaching Fellow in Business Analytics

Management Science

Location: Bailrigg, Lancaster, UK

Salary: £48,822 to £56,535 (Full-Time/Fixed-Term)

Closing Date: Friday 14 August 2026

Interview Date: To be confirmed

Reference: 0638-26

The Department of Management Science seeks to appoint a full-time Teaching Fellow in Business Analytics (BA). The department has run successful BSc and MSc programmes in BA for many years. This is an exciting opportunity to contribute to these teaching activities within a research-intensive Management School.

The appointment is initially for one year, but there is a chance that it will be extended.

In this role, you will deliver part or all of several BA-related modules, at undergraduate and/or postgraduate level, and be involved in the setting and marking of assessment tasks. You will also be allocated time to conduct scholarship activities.

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You will already hold an MSc and/or PhD in BA or a related discipline (such as Operational Research, Management Science, or Industrial Engineering). You will also have some teaching experience in the Further Education and/or Higher Education sectors. You will be appointed at either grade 7 (currently £40K-£46K) or grade 8 (currently £47K-£58K), depending on qualifications and experience.

Expertise in any of the following topics would be particularly welcome: statistics, data mining, machine learning, stochastic modelling, forecasting, simulation.

Applications are by letter of no more than two pages setting out why you want the role, and how you meet the person specification. A CV must also be included. Applications must be submitted using the Lancaster jobs portal.

Informal enquiries can be made to Prof Adam N. Letchford, Interim Head of Department (a.n.letchford@lancaster.ac.uk).

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Please note: unless specified otherwise in the advert, all advertised roles are UK based.

Find out what it's like to work at Lancaster University, including information on our wide range of employee benefits, support networks and our policies and facilities for a family-friendly workplace.

The University recognises and celebrates good employment practice undertaken to address all inequality in higher education whilst promoting the importance and wellbeing for all our colleagues.

We warmly welcome applicants from all sections of the community regardless of their age, religion, gender identity or expression, race, disability or sexual orientation, and are committed to promoting diversity, and equality of opportunity.

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Skills

Business Analytics
Statistics
Data Mining
Machine Learning
Stochastic Modelling
Forecasting
Simulation
Teaching
Assessment Marking
Curriculum Delivery

Location

Lancashire, England, United Kingdom

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