Teaching Associate - Data Science / Statistics

University of Bristol
London
1 month ago
Create job alert

The role

We are seeking a motivated and engaging Teaching Associate in Data Science / Statistics to join our academic community. You will contribute to high‑quality teaching, assessment and student support at undergraduate level, helping to deliver an excellent learning experience and actively participating in the wider life of the School. This role is ideal for someone who is passionate about teaching, student engagement and supporting future data scientists and statisticians.


What will you be doing?

In this role, you will:


Teach undergraduate students through lectures, seminars, tutorials and computer lab sessions.
Act as a personal tutor, providing academic and pastoral support.
Supervise undergraduate dissertations in Data Science / Statistics.
Mark exams and coursework and contribute to assessment design and development.
Support curriculum development and enhancement in line with School ambitions.
Contribute to programme administration, including programme development, admissions, delivery of units and liaison with external examiners.
Participate in School and Faculty activities, including meetings, seminars and wider governance.
Take a proactive approach to your own professional development and scholarship.

You should apply if

You are someone who:

Has experience teaching Data Science, Statistics or a related discipline at undergraduate level in lectures, small‑group teaching or both.


Brings a proactive, student‑centred approach to teaching and learning.
Demonstrates strong organisational and administrative skills.
Has experience supervising undergraduate projects or dissertations.
Communicates clearly, works well with colleagues and adapts to changing needs.
Is confident using digital learning tools and programming languages such as R, Python and C++.
Holds, or will soon complete, a doctorate in a relevant discipline aligned with Data Science / Statistics.

Desirable qualities include leadership experience in teaching (such as programme or course development), blended or digital learning experience, links with accreditation bodies and a recognised HE teaching qualification.


Related Jobs

View all jobs

Associate Professor in Management and Artificial Intelligence

Assistant and Associate Professor positions in Statistics and Machine Learning at Warwick

Postdoctoral Research Associate (PDRA) in Machine Learning Methods for Mental Health (CHS294)

Professor of Econometrics | ML & Data Science

Data Scientist

Lecturer in Artificial Intelligence

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

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

🍪 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.