LSE is committed to building a diverse, equitable and truly inclusive university
As an equal opportunities employer strongly committed to diversity and inclusion, we encourage applications from women and those of Minority Ethnic backgrounds as they are currently under-represented at this level in this area. All appointments will be made on merit or skill and experience relative to the role.
Salary is no less than £68,087 per annum and the salary scale can be found on the LSE website
Applications are invited for this post from outstanding teachers in the field of data science, with a focus on computational aspects. The successful candidate will join a vibrant research and teaching environment in the Department of Statistics. Data science is a key priority area in the LSE 2030 strategy, offering exciting opportunities to create new initiatives, foster collaborations, and make a significant impact in this field.The postholder will contribute to the teaching and management of the MSc Data Science, the new BSc Economics and Data Science, and courses developed for other departments. The post is tenable from 1st September 2026.
Please note that this is an Education Career Track post. Candidates for these posts should have a proven track record of excellence in teaching and a strong commitment to education.
Candidates should have a strong track record in teaching; the ability to teach computer science courses on topics such as programming, databases, and distributed computation for processing large datasets and solving large-scale machine learning tasks at undergraduate and postgraduate level; experience in teaching that involves the use of modern data science software tools and technologies; experience or interest in using real-world datasets in teaching; and strong interpersonal and networking skills.
The other criteria that will be used when shortlisting for this post can be found on the person specification, which is attached to this vacancy on the LSE’s online recruitment system.
In addition to a competitive salary the benefits that come with this job include occupational pension scheme, a collegial environment and excellent support, training and development opportunities.
For further information about the post, please refer to the ‘How to Apply’ document, job description and the person specification.
To apply for this post, please click the 'Apply' buton, above.
If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page.
Should you have any queries about the role, please email i.noble-andolfo@lse.ac.uk
The closing date for receipt of applications is 14 December 2025 (23.59 UK time).
We are unable to accept any late applications.
