%F0%9F%93%8A Lead Data Scientist at Livingstone Fc
Job Description
Livingston FC are seeking a Lead Data Scientist to play a central role in the club’s football intelligence, recruitment, performance analysis, and data infrastructure operations.
This is a unique opportunity to combine football expertise with advanced data science, helping drive recruitment strategy, player development, performance monitoring, and innovation across the club through cutting-edge analytical approaches and technology.
Almondvale Stadium, Livingston (Hybrid working available up to 2 days per week)
⚽ Key Responsibilities
- Support player recruitment strategy through identification, analysis, and benchmarking of transfer targets
- Deliver evidence-based recommendations to the Sporting Director and Head of Football Operations
- Produce pre-match, post-match, and opposition analysis reports
- Analyse tactical trends, player tendencies, team styles, and game model adherence
- Develop player performance reports and long-term development tracking systems
- Translate complex datasets into practical football insights that support decision-making
- Design, build, and maintain scalable football data infrastructure
- Develop automated workflows integrating event, tracking, video, performance, wellness, and medical data
- Create dashboards, applications, and reporting tools using Python, SQL, APIs, and visualisation platforms
- Streamline analytical processes through automation and custom reporting solutions
- Manage integrations with third-party football intelligence and performance platforms
- Collaborate with sports science and medical staff to analyse player workloads and readiness
- Support monitoring initiatives using GPS, wellness, biometric, and match-load data
- Contribute to predictive modelling and injury-risk monitoring projects
- Develop visualisations supporting player development and return-to-play programmes
- Drive innovation across football analytics, machine learning, artificial intelligence, and data engineering
- Explore new approaches to player evaluation, tactical analysis, and performance forecasting
- Contribute to the club’s long-term analytics strategy and competitive advantage initiatives
Essential Requirements
- Bachelor's degree in Data Science, Computer Science, Statistics, Sports Analytics, Mathematics, Exercise Science, or a related discipline
- Strong understanding of football tactics, technical concepts, and positional analysis
- Advanced proficiency in Python, SQL, and AI-powered analytical tools
- Experience developing automated data pipelines, workflows, and reporting systems
- Experience with Tableau, Power BI, Looker, or equivalent visualisation platforms
- Familiarity with platforms such as StatsBomb, Hudl, Wyscout, SkillCorner, Sportscode, or similar
- Excellent communication skills with the ability to present complex information to technical and non-technical audiences
- Strong organisational skills and ability to manage multiple projects in a high-performance environment
⭐ Desirable
- Master’s degree in a relevant discipline
- Experience applying machine learning, predictive analytics, or AI within elite sport
- Experience integrating tracking, event, and video data
- Knowledge of cloud infrastructure, APIs, databases, and modern data engineering practices
- Experience developing bespoke applications and internal tools for football operations
- Previous experience within performance analysis, recruitment analysis, sports science, or professional football environments
A fantastic opportunity for an ambitious data scientist to help shape recruitment, performance, and football operations at a progressive professional club through innovative data-driven decision-making.
To apply, please send your CV and a covering letter outlining your suitability for the role to: sd@livingstonfc.co.uk