Population Data Science Intern - Project 4

Swansea University / Prifysgol Abertawe
Swansea
2 days ago
Create job alert
About The University

Swansea University is a research‑led university that has been making a difference since 1920. The University community thrives on exploration and discovery and offers the right balance of excellent teaching and research, matched by an enviable quality of life.


Our stunning waterfront campuses and multicultural community make us a desirable workplace for colleagues from around the world. Our reward and benefits, and ways of working enable those who join us to have enriching careers, matched by an excellent work‑life balance.


About The Role

Within the Population Data Science group at Swansea University Medical School, we host a range of world‑leading research programmes and initiatives, including the Secure Anonymised Information Linkage (SAIL) Databank, enabling population health research, holding billions of records from data sources covering the Welsh population. The Secure e Research Platform (SeRP) is a complete customisable solution for Trusted Research Environments. The Dementias Platform UK (DPUK) Data Portal is a repository and analysis environment for dementia‑optimised cohort data. Administrative Data Research (ADR) Wales brings together data science experts, leading academics and specialist teams within Welsh Government, producing evidence that shapes future policy decisions.


Our interdisciplinary workforce is involved in major projects and research programmes, applying methodological and applied skills across multiple disciplines to support and achieve our world‑leading innovations. These skills include, but are not limited to, software development, database development/management, epidemiology, Geographical Information Systems, statistics, data mining, data visualisation, infrastructure‑related projects, website development, training and end‑user support, project management, and more.


This summer internship program offers a 3‑month paid position to students interested in gaining, developing, and applying their skills and experience within a real‑world, highly secure, state‑of‑the‑art environment. It is an excellent opportunity to develop your skills working as part of a multidisciplinary team, enhancing your experience on your path to further employment. We are looking for applicants who can work well as part of a team, are responsible for their work, and are interested in contributing to delivering measurable output during their internship.


This internship is open to all degree programmes at Swansea University or elsewhere. It will be especially relevant to students from disciplines that possess the skills and expertise listed above. Experience in line with the Summer Intern Brochure Intern project IDs (see specific skills and suitable background is identified alongside each Intern Project ID).


Equality, Diversity & Inclusion

The University is committed to supporting and promoting equality and diversity in all its practices and activities. We aim to establish an inclusive environment and welcome diverse applications from the following protected characteristics: age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race (including colour, nationality, ethnic and national origin), religion or belief, sex, sexual orientation.


As an inclusive and welcoming workplace, we value people for their skills regardless of their background. Applications are welcome in Welsh and will not be treated less favourably than those submitted in English.


Welsh Language Skills

The Welsh language level required for this role is Level 1 - A little. The role holder will be able to pronounce Welsh words, answer the phone in Welsh (good morning/afternoon) and use very basic everyday words and phrases (thank you, please etc.). Level 1 can be reached by completing a 1 hour course.


The University is a proud bilingual institution, our Welsh Language Strategy outlines our aspiration to promote the language and enable our staff to engage with the language as an additional workplace skill and as a gateway to new cultural and social opportunities. Applications are welcome in Welsh and will not be treated less favourably than those submitted in English. Welsh speakers have the right to an interview in Welsh. Applicants for a role where Welsh skills are essential are expected to present their application in Welsh and will be interviewed in Welsh, if shortlisted.


Additional Information

Applications for this role will take the format of a CV submission and cover letter.


Note: We have vacancies in several project areas, so please submit an application to each project area you wish to be shortlisted for. Please make clear in your cover letter, in relation to each project number you are applying for, how you meet the requirements for that specific 'Population Science Data Intern - Project number' which you are applying for.


Please note that no additional funding is available to cover accommodation or travel costs beyond the salary.


Internships are offered on a full‑time basis, which is a standard 35‑hour working week, but there is some flexibility where appropriate.


Students on a tier 4 visa are limited to working 20 hours per week, and Master's students are limited to 20 hours per week.


#J-18808-Ljbffr

Related Jobs

View all jobs

Population Data Science Intern - Project 19

Population Data Science Intern - Project 14

Population Data Science Intern - Project 3

Population Data Science Intern - Project 7

Population Data Science Intern - Project 16

Population Data Science Intern - Project 13

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 Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.