Football Data Scientist: Models, Insights & Impact in Bolton
Football Data Scientist: Models, Insights & Impact

Football Data Scientist: Models, Insights & Impact in Bolton

Bolton Full-Time 30000 - 50000 £ / year (est.) No home office possible
Go Premium
B

At a Glance

  • Tasks: Develop and maintain statistical models to drive data-driven decisions in football.
  • Company: Prominent sports organisation in Bolton with a focus on diversity and inclusion.
  • Benefits: Exciting opportunity to contribute to analytical efforts and support continuous improvement.
  • Why this job: Join a dynamic team and make an impact in the world of sports analytics.
  • Qualifications: Bachelor's degree in a quantitative field and strong skills in Python and SQL.
  • Other info: Encourages applications from all backgrounds for a diverse workplace.

The predicted salary is between 30000 - 50000 £ per year.

A prominent sports organization in Bolton is seeking a Data Scientist to develop and maintain statistical and machine learning models. The role requires a Bachelor's degree in a quantitative field and strong experience in Python and SQL.

Responsibilities include:

  • Preparing datasets
  • Monitoring model performance
  • Supporting data-driven decision-making across the club

The organization values diversity and inclusion and encourages applications from all backgrounds. This role offers an exciting opportunity to contribute to the club’s analytical efforts and support their continuous improvement.

Football Data Scientist: Models, Insights & Impact in Bolton employer: Bolton Wanderers Football Club

Join a leading sports organisation in Bolton that champions diversity and inclusion, offering a vibrant work culture where your contributions directly impact the club's success. With a focus on employee growth, you will have access to continuous learning opportunities and the chance to collaborate with passionate professionals in the field of data science. This role not only allows you to apply your skills in Python and SQL but also positions you at the forefront of innovative analytical efforts within the sports industry.
B

Contact Detail:

Bolton Wanderers Football Club Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Football Data Scientist: Models, Insights & Impact in Bolton

✨Tip Number 1

Network like a pro! Reach out to people in the sports data field on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your Python and SQL projects, especially those related to sports analytics. This will give potential employers a taste of what you can bring to the table.

✨Tip Number 3

Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key in supporting data-driven decision-making.

✨Tip Number 4

Don’t forget to apply through our website! We value diversity and inclusion, so make sure to highlight your unique background and experiences that can contribute to the club’s analytical efforts.

We think you need these skills to ace Football Data Scientist: Models, Insights & Impact in Bolton

Statistical Modelling
Machine Learning
Python
SQL
Data Preparation
Model Performance Monitoring
Data-Driven Decision-Making
Analytical Skills
Quantitative Analysis
Collaboration
Problem-Solving Skills
Attention to Detail

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back on the details!

Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing how your background aligns with our needs, especially in developing statistical and machine learning models.

Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and get straight to the point about your relevant experiences.

Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity with our club!

How to prepare for a job interview at Bolton Wanderers Football Club

✨Know Your Stats

Brush up on your statistical knowledge and machine learning concepts. Be ready to discuss specific models you've worked with, how you implemented them, and the impact they had. This shows your expertise and passion for data science in sports.

✨Python and SQL Proficiency

Make sure you can demonstrate your skills in Python and SQL during the interview. Prepare to solve coding challenges or answer technical questions that showcase your ability to manipulate datasets and build models effectively.

✨Understand the Club's Goals

Research the sports organisation and understand their mission, values, and recent performance. Tailor your answers to show how your skills can help them achieve their goals, especially in terms of data-driven decision-making.

✨Diversity and Inclusion Matters

Since the organisation values diversity, be prepared to discuss how your unique background or experiences can contribute to a more inclusive environment. This will resonate well with the interviewers and show that you align with their values.

Football Data Scientist: Models, Insights & Impact in Bolton
Bolton Wanderers Football Club
Location: Bolton
Go Premium

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

B
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>