Data Scientist

Southampton Football Club; Milano; In loco; EUR 40.000 - 55.000; Tempo pieno

Descrizione del lavoro

An international sports organization is seeking a Data Analyst to provide insights through data analysis for performance, recruitment, and sports science. You will build predictive models, manage data pipelines, and collaborate closely with club staff in a dynamic environment. A strong background in mathematics or statistics, along with programming skills in R or Python and a passion for football, are essential for success in this role.

Servizi

25 days' holiday per year

Collaborative working culture

Strong core values

Competenze

• Undergraduate degree in Mathematics, Statistics, or Computer Science.
• Experience in building statistical models and ML algorithms.
• Strong proficiency in R or Python programming.

Mansioni

• Develop automated pipelines for data processing and metrics creation.
• Build predictive models for player and team performance measurement.
• Collaborate with football club staff to translate concepts into metrics.

Conoscenze

Statistical modeling

Machine Learning algorithms

R or Python programming

Data visualization skills

Managing data pipelines

Knowledge of football tactics

Formazione

Undergraduate degree in STEM

Postgraduate degree in STEM

Strumenti

Power BI

Tableau

Descrizione del lavoro

Overview

Be part of our journey...

Details

Hours : Full Time

Contract Type : Permanent

Criminal Record Check : DBS Enhanced with Childs Barred List

• Sport Republic Office, South Kensington, London, UK
• Staplewood Training Ground, Southampton, UK

Role Purpose

This role will be responsible for a diverse range of analysis tasks and research projects to provide data insights to all Sport Republic clubs. This includes working on player recruitment, team and opposition performance analysis, sports science physical testing, injury prevention, player pathways and academy player development. Our investments in other sports technology companies will allow you to work with other cutting-edge data products.

What is the role?

You will be responsible for maintaining and developing automated pipelines to process data and create metrics efficiently as well as building advanced predictive models to measure and classify player and team performance. In addition to this, you will be liaising with data engineers on the cleansing and ingestion of various data sources into our databases and you will be required to possess the ability to present and explain your Analysis to diverse audiences across all of our clubs.

You will also be collaborating with football club staff to understand technical and tactical concepts and translate them into metrics along. Additionally, you will be conducting your own research to answer a variety of football questions, creating visual apps, dashboards and documents to share your insights with stakeholders.

Essential skills

• Undergraduate degree in Mathematics, Statistics, Computer Science or other STEM field (Postgraduate degree desirable).
• Experience building a variety of statistical models and / or ML algorithms.
• Experienced user of statistical computer programming languages (R or Python).
• Data visualisation skills and / or ability to use data visualisation software (Power BI or Tableau).
• Professional experience managing data pipelines.
• A strong passion for football and a good knowledge of football tactics

Desirable skills

• Able to communicate and present effective to audiences with varying levels of data literacy.
• Previous experience working with a professional football club desirable and experience working with football data.
• An inventive and creative mindset for exploratory research and problem solving.
• Ability to speak multiple languages is desirable.

How this benefits you

• 25 days’ holiday per year excluding bank holidays.
• Collaborative & inclusive working culture
• Working with likeminded individuals.
• Working in an environment with strong core values.
• We reserve the right to close this vacancy early, if a high volume of applicants are received.