Assistant Professor (Education) in Data Science

Institute of Mathematical Statistics; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading university in the UK seeks an Assistant Professor (Education) in Data Science to build and teach courses on modern data science topics. The ideal candidate will have a strong record in teaching, the ability to use real-world datasets, and will contribute to multiple programs including MSc Data Science. This role offers a competitive salary and excellent development opportunities.

Benefits

Occupational pension scheme

Collegial environment

Training and development opportunities

Qualifications

• Proven track record of excellence in teaching.
• Experience in using modern data science software tools.
• Ability to engage students with real-world datasets.

Responsibilities

• Demonstrate excellence in teaching for data science and programming.
• Teach modern data science software tools.
• Contribute to MSc Data Science and BSc Economics and Data Science.

Skills

Teaching computer science topics

Data science software tools

Real-world datasets

Interpersonal skills

Job description

Overview

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.

Department of Statistics

Assistant Professor (Education) in Data Science

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

Position and Role

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.

Responsibilities

• Demonstrate excellence in teaching with a focus on data science, including computer science topics such as programming, databases, and distributed computation for processing large datasets and solving large-scale machine learning tasks at undergraduate and postgraduate level.
• Teach using modern data science software tools and technologies; incorporate real-world datasets into teaching.
• Contribute to the teaching and management of the MSc Data Science, the BSc Economics and Data Science, and courses developed for other departments.
• Engage in scholarly activity and collaborate with colleagues within the Department and across the university.

Qualifications and Experience

• Strong track record in teaching with the ability to teach computer science topics such as programming, databases, and distributed computation for large datasets and large-scale machine learning tasks.
• 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.
• Strong interpersonal and networking skills.

Other Information

The other criteria used for shortlisting can be found in the person specification attached to the vacancy on LSE’s online recruitment system. In addition to a competitive salary, benefits include an occupational pension scheme, a collegial environment and excellent support, training and development opportunities.

How to Apply

For further information about the post, please refer to the ‘How to Apply’ document, the job description and the person specification. To apply, please go to www.jobs.lse.ac.uk. If you have technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. For queries about the role, please email [e-mail].

Important Dates

The closing date for receipt of applications is 14 December 2025 (23.59 UK time).

We are unable to accept any late applications.