Data Scientist

University of South Hampton
Southampton
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist (Government)

Data Scientist - Renewable Energy

The University of Southampton is a world leading research-intensive university with a high-quality educational offering and is ranked in the Top 100 universities worldwide.


The role

We are looking for a Data Scientist to provide expertise to help drive the development of the University’s portfolio of programmes, including leading on market viability assessments and data analysis to support this process. You will be an excellent communicator able to engage effectively with both academic and professional services colleagues often on complex topics. You must be willing to be flexible and use your analytical and literacy skills on a range of topics.


Your responsibilities will include:



  • Supporting the key university process of programme and portfolio assessment and review, acting as the primary point of contact between the department and colleagues across both professional services and academic faculties.
  • Contributing to the understanding of our student population using data analysis of a variety of information sources and sharing findings across several different mediums to senior audiences.
  • Be the expert at the University on your areas of work, able to not only provide analysis but advise senior leaders ensuring decisions are being made effectively.

About you

We are looking for:



  • You must be confident working with data and generating robust analysis and actionable insight from it with minimal supervision. You don’t need professional experience but you’ll be expected to hit the ground running and be producing high impact work from day one.
  • You must be comfortable both presenting data and insight in several formats to meet the needs of a wide number of different audiences. Comfortable talking to nuance and context when providing predictive work.
  • Able to work collaboratively and communicate and negotiate with senior stakeholders with confidence.
  • An ability to influence others, use judgement and have excellent written and verbal communication skills to explain complex data to a range of audiences.
  • You have an interest in driving forward Higher Education and a desire to learn more about the sector and our University.

What it’s like to work here

We are dedicated to creating an environment where everyone can thrive and fostering a culture of inclusion, respect and equality of opportunity. We encourage applications from candidates from Black, Asian and Minority Ethnic communities, people who identify as LGBTQ+; and people with disabilities. We are open to a flexible working approach and we have adopted a hybrid working model across the university combining working from home with regular time on campus.


We offer a holiday allowance of 30 days per year plus bank holidays and six additional university closure days, as well as access to a pension scheme, subsidised health and fitness facilities, and a range of discounts.


Working at the University of Southampton:

Check out the staff benefits and why you should join us at The University of Southampton.


We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity.


Apply by 11.59 pm GMT on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or quoting the job number.


#J-18808-Ljbffr

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.

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.

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.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.