Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Assistant Professor (Education) in Data Science

Association for Computing Machinery (MY)
City of London
3 days ago
Create job alert

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 usingreal-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

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

We are unable to accept any late applications.


#J-18808-Ljbffr

Related Jobs

View all jobs

Assistant Professor (Education) in Data Science

Assistant Professor (Education) in Data Science

Medical Statistician (Fixed Term)

Medical Statistician (Fixed Term)

Medical Statistician (Fixed Term) (MED230725)

Research Assistant in Health Data Science and Innovation

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.