Data Scientist - London, United Kingdom in Ashtead
Data Scientist - London, United Kingdom

Data Scientist - London, United Kingdom in Ashtead

Ashtead Full-Time 60000 - 80000 £ / year (est.) No home office possible
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Stats Perform

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 working, mental health days, and a supportive team culture.
  • Other info: Be part of a diverse team that values creativity and inclusion.
  • Why this job: Make a real impact in sports by creating next-gen AI models.
  • Qualifications: Master’s or PhD in relevant fields and 3+ years of data science experience.

The predicted salary is between 60000 - 80000 £ 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, improving how sports fans interact with their favourite sports teams and competitions.

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.

Why work at Stats Perform?

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. We pull together to build a better workplace and world for all.

We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups.

Diversity, Equity, and Inclusion at Stats Perform: 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. That is why our Diversity, Equity, and Inclusion goals underpin our core values. With increased diversity comes increased innovation and creativity, ensuring we’re best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do.

Data Scientist - London, United Kingdom in Ashtead employer: Stats Perform

At Stats Perform, we pride ourselves on being a leading employer in the sports tech industry, located in the vibrant city of London. Our commitment to employee well-being is reflected in our flexible working schedules, Mental Health Days Off, and a culture that values diversity and inclusion. With ample opportunities for professional growth and a collaborative environment, you will be empowered to innovate and make a meaningful impact in the world of sports data.
Stats Perform

Contact Detail:

Stats Perform Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist - London, United Kingdom in Ashtead

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 projects, especially those involving machine learning and sports data. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and practising common data science questions. Don’t forget to also think about how you can communicate complex ideas simply – it’s key when talking to non-technical teams!

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining a team that values diversity and innovation in the sports tech world.

We think you need these skills to ace Data Scientist - London, United Kingdom in Ashtead

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 machine learning, Python, and any relevant sports data projects. 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, and explain why you’re excited about joining our team. Let us know how you can contribute to our mission of enhancing sports experiences.

Showcase Your Projects: If you've worked on any cool data science projects, don’t hold back! Include links to your GitHub or any relevant portfolios. We love seeing practical applications of your skills, especially in sports analytics.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the Stats Perform family!

How to prepare for a job interview at Stats Perform

✨Know Your Data Inside Out

Before the interview, dive deep into Stats Perform's data offerings and how they leverage AI in sports. Familiarise yourself with their key products and think about how your experience aligns with their needs. This will show your genuine interest and help you speak their language.

✨Showcase Your Technical Skills

Be ready to discuss your proficiency in Python, SQL, and machine learning frameworks like TensorFlow or PyTorch. Prepare examples of projects where you've successfully implemented these technologies, especially in a sports context. This will demonstrate your hands-on experience and problem-solving abilities.

✨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 highlight your technical expertise but also your ability to communicate effectively with both technical and non-technical stakeholders.

✨Emphasise Your Passion for Sports

Stats Perform values a love for sports, particularly soccer and tennis. Share your personal experiences with sports and how they inspire your work in data science. This connection can set you apart and show that you're not just a data expert, but also someone who understands the industry.

Data Scientist - London, United Kingdom in Ashtead
Stats Perform
Location: Ashtead
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