41 data-"https:"-"https:"-"https:"-"https:"-"The-University-of-Manchester" positions at Lancaster University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
HR Systems & Management Information Location: Bailrigg, Lancaster, UK Salary: £33,002 to £37,694 (Full-Time/Indefinite) Closing Date: Wednesday 08 April 2026 Interview Date: To be confirmed
-
to identify trends, risks and opportunities. Present clear and insightful financial information to senior decision-makers. Lead the University’s TRAC return through to Vice-Chancellor sign-off. Line manage and
-
University Information Systems Services (ISS) department is looking for a Senior Developer to join the Enterprise Operations team on a Fixed Term Contract until December 2026. The ISS department is undergoing
-
upgrade’, this will improve student engagement, boost operational efficiency and enable data-driven decision-making! This programme will give the University and students clarity, efficiency and engagement
-
organisations to plan and undertake qualitative fieldwork to understand perspectives of groups experiencing digital inequalities. You will coordinate evaluation activities, lead data collection and data analysis
-
. Applicants wishing to consider the Skilled Worker Route should ensure they meet the points requirement before applying. Further information can be found on the UK Visas and Immigration website.
-
deadlines About You We are looking for a collaborative and analytical finance professional who can turn financial data into clear insight. You will bring: Experience in a finance, management accounting or
-
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
-
. The Procurement team at Lancaster work with world-leading academics and colleagues from other Professional Services areas such as Facilities and Information Systems. A wide variety of categories are managed
-
learning (ML) approaches that integrate domain knowledge with data-driven learning, as well as explainable AI (xAI) techniques that make model behaviour transparent and scientifically meaningful. You will