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 Heathrow 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.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - London, United Kingdom in Heathrow
✨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 related to sports data or machine learning. 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 common data science questions and case studies. Practice explaining your thought process clearly, as communication is key when working with both technical and non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Stats Perform team!
We think you need these skills to ace Data Scientist - London, United Kingdom in Heathrow
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 science, 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, especially in sports, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements.
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 your understanding of data science concepts, especially those relevant to sports analytics. Be prepared to discuss your experience with machine learning techniques and how you've applied them in real-world scenarios, particularly in sports contexts like soccer or tennis.
✨Showcase Your Technical Skills
Make sure you can demonstrate your proficiency in Python, SQL, and any ML/AI packages you've used. Bring examples of projects where you've deployed models in cloud environments, and be ready to explain your thought process behind designing neural network architectures or using statistical methods.
✨Communicate Clearly and Confidently
Since you'll need to present your solutions to various teams, practice explaining complex technical concepts in simple terms. Highlight your ability to communicate effectively with both technical and non-technical stakeholders, as this will be crucial in your role at Stats Perform.
✨Express Your Passion for Sports
Let your enthusiasm for sports shine through during the interview. Share your insights on the latest trends in sports analytics and how they can impact the industry. Showing that you have a genuine interest in sports, especially soccer and tennis, will resonate well with the team.