Data Scientist in London

Data Scientist in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Research and develop innovative machine learning techniques for sports data.
  • Company: Join the market leader in sports tech, Stats Perform.
  • Benefits: Enjoy flexible schedules, mental health days, and volunteering opportunities.
  • Why this job: Make a real impact in sports by creating cutting-edge AI models.
  • Qualifications: Master’s or PhD in STEM fields with 3+ years of data science experience.
  • Other info: Be part of a diverse team that values creativity and inclusion.

The predicted salary is between 36000 - 60000 £ per year.

Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world access to the very best data, content, and insights.

In this role you’ll be a part of the Machine Learning Modelling team, a dynamic, international team which works on solving complex problems by creating cutting edge models based on unique data sets. This team is responsible for finding solutions to all kinds of complex sports problems, through the use of AI and Machine Learning.

Responsibilities
  • Researching, developing, and implementing innovative machine learning techniques to Stats Perform’s wealth of sports data, across various sports, such as soccer and tennis.
  • Productizing your models alongside engineers and product teams, in a quick and efficient way.
  • Presenting your solutions to other internal teams, broadening AI proficiency in the company.
  • Providing technical guidance to various teams on the artificial intelligence approaches that our team uses.
  • Identify new AI solutions for emerging problems, create requirements and propose an outline a roadmap for delivering the project.
  • Support, train and mentor team members on best machine learning implementation practices.
Required Qualifications
  • Master’s or PhD in data science, computer science, mathematics, statistics or related STEM fields.
  • 3+ years of experience working as a data scientist (or similar role).
  • Expert proficiency of Python and experience using SQL, alongside using common ML/AI packages (TensorFlow, PyTorch, XGBoost, etc.).
  • Familiarity with statistical (e.g. GLM, GAMs) and deep learning techniques (e.g. neural networks, transformers, diffusion models, etc.).
  • Comfortable designing and creating neural network architectures, tree-based methods and applying upcoming technologies from scratch.
  • Experience deploying models in cloud environments (such as AWS/Google Cloud), making models production-ready and integrating them in end-to-end cloud pipelines.
  • Fluency in English; excellent verbal and written communication and presentation skills, including an ability to effectively communicate with both business and technical teams, and both internal and external stakeholders.
Desired Qualifications
  • Experience with sports event and/or tracking data and deep interest in sports, in particular soccer and tennis.
  • Knowledge of the sports analytics landscape and latest research.

We love sports, but we love diverse thinking more! We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you'll feel valued and respected for your contribution.

We take care of our colleagues. We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules.

By joining Stats Perform, you’ll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment.

Data Scientist in London employer: Stats Perform

At Stats Perform, we pride ourselves on being a leading employer in the sports tech industry, where innovation meets passion. Our vibrant work culture fosters diversity and creativity, allowing you to thrive while working with cutting-edge AI technologies and a wealth of sports data. With flexible working arrangements, mental health support, and opportunities for professional growth, you'll find a rewarding environment that values your contributions and encourages you to make a meaningful impact in the world of sports.
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Contact Detail:

Stats Perform Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects and data analyses. This is your chance to demonstrate what you can do beyond just a CV—make it pop!

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and practising common data science questions. Don’t forget to think about how you can apply your skills to real-world sports problems—Stats Perform loves that!

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll be part of a community that values diversity and innovation—just like we do at Stats Perform!

We think you need these skills to ace Data Scientist in London

Machine Learning Techniques
Python
SQL
TensorFlow
PyTorch
XGBoost
Statistical Techniques
Deep Learning Techniques
Neural Network Architectures
Cloud Environments (AWS/Google Cloud)
Model Deployment
Communication Skills
Presentation Skills
Sports Analytics Knowledge

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and machine learning techniques. We want to see how your skills align with what we do at Stats Perform!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for sports and data science, and explain why you’re excited about joining our team. Let us know how you can contribute to our mission.

Showcase Your Projects: If you've worked on any relevant projects, make sure to include them! Whether it's deploying models or using AI in innovative ways, we love seeing real-world applications of your skills.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining Stats Perform!

How to prepare for a job interview at Stats Perform

✨Know Your Data Inside Out

Before the interview, dive deep into the types of sports data Stats Perform uses. Familiarise yourself with their products and how they leverage AI and machine learning. Being able to discuss specific examples of how you've worked with similar data sets will show your genuine interest and expertise.

✨Showcase Your Technical Skills

Prepare to demonstrate your proficiency in Python, SQL, and any ML/AI packages you’ve used. Bring along a portfolio or examples of past projects where you’ve successfully implemented machine learning techniques. This will help you stand out as a candidate who can hit the ground running.

✨Communicate Clearly and Confidently

Since you'll be presenting solutions to various teams, practice explaining complex concepts in simple terms. Use clear examples to illustrate your points. This will not only showcase your technical knowledge but also your ability to communicate effectively with both technical and non-technical stakeholders.

✨Stay Updated on Sports Analytics Trends

Research the latest trends in sports analytics and be ready to discuss them. Showing that you’re passionate about sports and aware of current developments will resonate well with the team. It demonstrates that you’re not just a data scientist, but someone who truly cares about the industry.

Data Scientist in London
Stats Perform
Location: London

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