Assistant Professor (Education) in Data Science

Organisation: London School of Economics and Political Science – Department of Statistics

Location: London, UK

Application Deadline: 14 December 2025 (23:59 UK time)

Salary: No less than £68,087 per annum (salary scale on LSE website)

Commitment to Diversity, Equity and Inclusion: LSE is committed to building a diverse, equitable and truly inclusive university. We encourage applications from women and those of Minority Ethnic backgrounds. All appointments will be made on merit, skill and experience relative to the role.

Post Overview: Applications are invited for outstanding teachers in the field of data science, focusing 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 opportunities to create initiatives, foster collaborations and make a significant impact.

Teaching commitments include the MSc Data Science, the new BSc Economics and Data Science and courses for other departments. The post is tenable from 1 September 2026.

Post Type: Education Career Track – requires proven excellence in teaching and a strong commitment to education.

Key Responsibilities:

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• Teach computer science courses covering programming, databases, distributed computation for large datasets and large‑scale machine learning tasks at undergraduate and postgraduate level.
  
• Use modern data science software tools and technologies in teaching.
  
• Incorporate real‑world datasets into teaching.
  
• Deliver engaging, inclusive and high‑quality learning experiences.
  
• Participate in curriculum development, course management and assessment.
  
• Collaborate with other departments to develop interdisciplinary courses.
  

Qualifications and Experience:

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• Strong teaching record in data science or related fields.
  
• Experience teaching computer science courses focusing on programming, databases, distributed computation and machine learning.
  
• Proficiency with modern data science software tools and technologies.
  
• Experience with real‑world datasets in teaching.
  
• Excellent interpersonal and networking skills.
  
• Additional criteria for shortlisting can be found in the person specification.
  

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

How to Apply: Refer to the ‘How to Apply’ document, job description and person specification. Click the ‘Apply’ button above to submit your application. Late applications are not accepted.

For technical queries, use the contact links at the bottom of the LSE Jobs page.