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Assistant Professor (Education) in Data Science

The London School of Economics and Political Science (LSE)
City of London
5 days ago
Applications closed

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Assistant Professor (Education) in Data Science

Assistant Professor (Education) in Data Science

Assistant Professor (Education) in Data Science

Assistant Professor in Statistics and Data Science (Research and Education) - School of Mathema[...]

Assistant Professor (Education) in Data Science

Assistant Professor (Education) in Data Science

Assistant Professor (Education) in Data Science

LSE is committed to building a diverse, equitable and truly inclusive university. As an equal opportunities employer, we encourage applications from women and ethnic minorities under‑represented at this level. All appointments will be made on merit or skill and experience relative to the role.

Department of Statistics

Salary: no less than £68,087 per annum. Salary scale can be found on the LSE website.

Position overview: This Education Career Track post is suitable for outstanding teachers in data science with a focus on computational aspects. The postholder will join a vibrant research and teaching environment in the Department of Statistics, supporting the MSc Data Science, the new BSc Economics and Data Science, and other departmental courses. Tenable from 1 September 2026.

  • Teaching responsibilities: Deliver undergraduate and postgraduate courses in programming, databases, distributed computation and other computer-science subjects; use modern data‑science software; incorporate real‑world datasets.
  • Other responsibilities: Manage course delivery, contribute to curriculum development, support students and collaborate across departments.
  • Qualifications: Proven track record of excellence in teaching and a strong commitment to education.
  • Strong record in teaching computer‑science courses: programming, databases, distributed computation, large‑scale machine‑learning tasks.
  • Experience with modern data‑science tools and technologies.
  • Interest or experience using real‑world datasets.
  • Strong interpersonal and networking skills.

Benefits: Competitive salary, occupational pension scheme, collegial environment, excellent support, training and development opportunities.

How to apply: Please go to https://www.jobs.lse.ac.uk and submit your application. For technical questions, use the ‘contact us’ links on the LSE Jobs page. For role‑specific questions, email .

Closing date for receipt of applications: 14 December 2025 23:59 UK time. Late applications will not be accepted.


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