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

Apply Now

Assistant Professor (Education) in Data Science

Institute of Mathematical Statistics
City of London
1 week ago
Create job alert
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 .

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.


#J-18808-Ljbffr

Related Jobs

View all jobs

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/Associate Professor in Statistical Data Science

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.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.