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- Tasks: Teach and manage courses in data science, focusing on computational aspects.
- Company: Join LSE, a leading university committed to diversity and inclusion.
- Benefits: Competitive salary, pension scheme, and excellent training opportunities.
- Why this job: Make a significant impact in data science education and foster collaborations.
- Qualifications: Proven teaching excellence and strong skills in computer science and data science.
- Other info: Vibrant research environment with opportunities for career growth.
The predicted salary is between 68087 - 95222 £ per year.
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
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 go to www.jobs.lse.ac.uk
- 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.
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Assistant Professor (Education) in Data Science employer: LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
Contact Detail:
LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Assistant Professor (Education) in Data Science
✨Tip Number 1
Network like a pro! Reach out to current or former staff at LSE, especially those in the Department of Statistics. A friendly chat can give us insights into the culture and expectations, plus it might just put your name on their radar.
✨Tip Number 2
Show off your teaching skills! Prepare a mini-lecture or presentation on a data science topic you love. This not only showcases your expertise but also demonstrates your passion for education, which is key for this role.
✨Tip Number 3
Get involved in discussions about data science trends! Join online forums or attend webinars. This keeps us updated and shows potential employers that we’re engaged and knowledgeable about the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we can tailor our application to highlight how our skills align with LSE's commitment to diversity and inclusion.
We think you need these skills to ace Assistant Professor (Education) in Data Science
Some tips for your application 🫡
Show Off Your Teaching Skills: Make sure to highlight your teaching experience in data science. We want to see how you've engaged students and made complex topics accessible. Use specific examples to demonstrate your impact!
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their materials to the role. Mention how your background aligns with the LSE's commitment to diversity and inclusion, and how you can contribute to our vibrant community.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured documents that are easy to read. Avoid jargon unless it's necessary, and make sure your passion for education shines through!
Apply Through Our Website: Remember to apply through our official website at www.jobs.lse.ac.uk. It’s the best way to ensure your application gets to us without any hiccups. Plus, you’ll find all the info you need about the role there!
How to prepare for a job interview at LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
✨Know Your Stuff
Make sure you’re well-versed in the latest trends and technologies in data science. Brush up on your knowledge of programming, databases, and machine learning tasks, as these are key areas for the role. Being able to discuss real-world applications and datasets will show your passion and expertise.
✨Showcase Your Teaching Skills
Prepare to demonstrate your teaching philosophy and methods. Think about how you can engage students with modern data science tools and real-world datasets. Be ready to share examples of your past teaching experiences and how you’ve successfully managed a classroom.
✨Emphasise Diversity and Inclusion
Since LSE values diversity, be prepared to discuss how you can contribute to an inclusive learning environment. Share any experiences you have in promoting equity in education or working with diverse student groups. This will resonate well with their commitment to building a diverse community.
✨Network Like a Pro
Strong interpersonal skills are crucial for this role. Before the interview, think about how you can connect with the interviewers. Prepare thoughtful questions that show your interest in collaboration and fostering relationships within the department. This will help you stand out as a candidate who is not just qualified but also a great fit for their team.
