Performance Data Scientist

Sport Wales
Cardiff
2 weeks ago
Create job alert

Department and salary

Department - Sport System Institute Services

Salary - £41,574.01 (pro rata - £25,281.49)

Working Hours - 3 days per week (22.5 hours) – 12 months fixed term contract

Location - Sport Wales National Centre, Cardiff

What you’ll need

We are seeking an experienced Data Scientist with proven expertise in understanding complex data requirements across a diverse range of sports. In this role, you will design and implement robust methods to capture, process, and interpret athlete data, applying advanced statistical techniques, coding, and data analytics. You will bring credibility through your experience in data integration, process automation, and visualisation, helping internal and external teams make informed, data-driven decisions.

You will have a strong appreciation for the value of optimising and standardising data workflows, maintaining data integrity, providing technical guidance on data management systems, and developing analytics solutions that generate actionable insights to support organisational objectives.

Working collaboratively with multi-disciplinary teams and sport system partners, you will excel at building trusted relationships and influencing stakeholders to improve data management practices. You will demonstrate curiosity and confidence to challenge existing processes, drive science-based innovation, and continually enhance the design and delivery of data management practices within Teamworks AMS. Your work will directly contribute to a system that supports athletes to thrive and where ‘winning well’ is embedded across the Welsh high-performance system.

How you’ll contribute

Wales is a proud part of the UK high performance system and has achieved unprecedented recent success on the world stage. We want to create the most science-informed sporting system in the world, enabling all athletes in Wales to thrive and making 'winning well' more likely. 

We’re clear on the crucial role that the environment can play in improving the experiences of athletes and we want to ensure that athlete development environments in Wales are better than anywhere else. If you’ve got a passion for sport and for helping people to be the best version of themselves then this could be the role for you, and we’d love to hear from you. 

You will contribute by working closely with the Teamworks AMS lead to enhance data management processes in addition to applying your experience to other projects that the Sport System Institute Services team are responsible for. You will help to identify, explore, plan and deliver on projects that are aligned to our Institute purpose. You will support our learning around enhancing athlete development across pathways and our sharing of this with everyone that needs to know. 

Who you’ll work with

You will need to develop strong relationships with members of the sport system institute services team, wider Sport Wales colleagues, coaches, and other staff in sports to deliver against identified data needs. 

What happens next

Readthe full job description (linked below) 

If you need any support to apply for this role, then please email .

Closing date

9am 6th February 2026

Provisional interview date

19th February 2026

Related Jobs

View all jobs

Performance Data Scientist

Performance Data Scientist

Football Performance Data Scientist — Insights & Strategy

Product Performance Data Scientist: FMCG Insights

Senior Data Scientist

Senior Data Scientist

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.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.