First Team Data Scientist

DEPARTMENT: First Team Analysis Department

SALARY: Depending on Experience

BENEFITS:

25 days holiday, plus bank holidaysCycle to Work SchemePrivate Medical Insurance & Health Cash Plan2 x Complimentary home match ticketsDiscounted Club MerchandiseEnhanced Family Leave Payments RESPONSIBLE TO: Head of Data

KEY RELATIONSHIPS:

1st Team Performance AnalystsFirst Team Coaching Staff CONTRACT: Full Time (40 hours)

WORKING HOURS:

The role requires an individual who can perform such hours as necessary to complete their roles and responsibilities. The position will involve working irregular hours (e.g., Evenings/Saturdays/Sundays/Bank Holidays) based around team schedules.

THE ROLE

This role will be responsible for the day-to-day use of data within the First Team Football Departments. Embedded within the First Team Analysis department, this role will foremost support the first team coaches and analysts with the match analysis cycle of opposition, individual, team performance and training analyses through the use of data. Additional responsibilities of this role will be to support the use of data across the wider football department including Sports Science, Medical and Recruitment.

ROLE RESPONSIBILITIES

Be an integral part of the club’s use of data across the match analysis cycle, providing data support and reporting across each of the following areas:

Opposition AnalysisLive Match AnalysisPost Match AnalysisMonitoring of team, opposition and individual performancesBuild and update bespoke club specific KPIsTrend analysis across the league and the wider footballing world, reporting on findings and comparisons with the first teamKeep up to date with the latest developments in football analytics and drive the club’s use of data to stay at the forefront of this spaceDesign and build data visualisations for the use of first team analysts and coachesAttend all home matches supporting live match analysis with data as well as remote support for away matchesContribute to ongoing projects and researchSupport the use of data across the football department in Analysis, Coaching, Medical, Sports Science & RecruitmentPerform ad-hoc analyses as required Skills / Experience

STEM degree (Preferred)Experience of handling and manipulating large data sets for data analysisUnderstanding of how data science can be applied in a professional football settingKnowledge of & experience using football event data (Statsbomb, Opta, WyScout etc.)Comfortable interacting with databases using SQLData visualisation experience using Python and BI Tools such as Tableau (preferred) or PowerBIExperience of a programming language, preferably Python and accompanying packages such as pandas, numpy and football/sport specific packages like matplotlib, PySport, MPLSoccer, Kloppy etc.Experience of presenting to audiences that do not possess data/technical backgroundsProficient using Mac OS and/or Windows OS & software including; Keynote, Numbers, iBooks, Microsoft Office (Excel, Powerpoint, Word) Desirable

Masters in Data Analytics, Data Science, Computer Science or similarExperience of retrieving and handling data from APIsExperience handling Tracking Data (Second Spectrum, TRACAB, GPS etc.) with the ability to extract practical insightsExperience with football data analysis software (Catapult Matchtracker or Hudl Insight)Full UK driving license & access to vehicle