Data and Insight Scientist

To support the delivery of player intelligence across Welsh rugby by transforming player and performance data into clear, accessible and actionable insight for coaches and multidisciplinary performance teams.

The role will specialise in data visualisation, interactive applications and performance reporting, bringing together information from across the performance system and using modern development approaches, including AI-assisted coding, to rapidly create and improve tools that support player understanding, development and decision-making.

Salary:
Competitive

Closing Date: 29th October 2026

• Strong ability to transform complex information into simple, engaging and decision-ready visual outputs for non-technical audiences.

• Experience using AI-assisted coding and development tools to accelerate application design, visualisation, coding, prototyping and workflow automation.

• Demonstrable experience in data visualisation, dashboard development and interactive analytical applications, using Streamlit, Tableau or similar technologies.

• Practical experience using Python or similar analytical technologies to manipulate, analyse and visualise data.

• Ability to combine traditional analytical tools with modern AI development workflows to rapidly build, test and iterate user-focused products.

• Experience connecting, analysing and presenting information from multiple data sources and disciplines.

• Strong visual judgement and understanding of information design and data storytelling.

• Working knowledge of data structures, SQL or similar approaches to accessing and managing data would be advantageous.

• Strong communication and interpersonal skills, with the ability to work effectively with coaches, analysts, scientists and multidisciplinary performance practitioners.

• Ability to understand performance questions and translate them into practical analytical solutions, rather than simply reporting data.

• Experience with in elite sport, player development or another high-performance environment would be advantageous but is not essential.

• Relevant qualification or equivalent practical experience in data analytics, performance analysis, sports science, computer science or a related discipline.

• Curious, creative and solutions-focused, with a willingness to experiment with new technologies and ways of working to improve the speed and quality of delivery.

• A growth mindset, commitment to continuous learning

• Ability to communicate and work through the medium of Welsh is desirable.

• Design and develop high-quality player and performance data visualisations, dashboards and interactive applications, using AI-assisted development, visualisation software and modern coding workflows to accelerate delivery and innovation.

• Translate complex player and performance data into clear, intuitive and decision-ready insight for coaches and multidisciplinary performance teams.

• Bring together data from Performance Analysis, Physical Performance, Medical, Behavioural Performance, Talent and other relevant sources to create an integrated view of player performance and development.

• Develop and maintain self-service analytical tools and applications that enable coaches and practitioners to access, explore and understand player information effectively.

• Support the development of player trajectory, national depth chart and pathway visualisations, making changes in performance, progression and opportunity visible over time.

• Produce high-quality player, positional, cohort and pathway reporting to support player reviews, development conversations and performance planning.

• Work closely with coaches and practitioners to understand performance questions and translate these into practical analytical products and visual solutions.

• Rapidly build, test and iterate new applications and analytical products, using feedback from coaches and practitioners to continually improve their usability and impact.

• Work collaboratively with data scientists and other technical specialists to translate advanced analytical work and models into accessible tools, applications and visualisations that can be used within performance environments.

• Support the development and maintenance of the Player Intelligence System, improving how multidisciplinary player information is connected, organised, visualised and communicated.

• Improve the efficiency and consistency of recurring reporting and analytical processes through automation, reusable workflows and modern development tools.

• Support strong data quality and…