At a Glance
- Tasks: Join our Machine Learning Modelling team to develop innovative AI solutions for sports data.
- Company: Stats Perform, the leader in sports tech and data analytics.
- Benefits: Enjoy flexible working, mental health days, and opportunities for volunteering.
- Why this job: Make a real impact in sports by creating cutting-edge AI models.
- Qualifications: Master’s or PhD in STEM, 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 30000 - 50000 £ 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.
- 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.
- 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 employer: Stats Perform
Contact Detail:
Stats Perform Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and data analyses. This is your chance to shine and demonstrate what you can bring to the table at Stats Perform.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common data science questions. Be ready to discuss your past projects and how they relate to the role you're applying for.
✨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
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 any machine learning techniques you've used. We want to see how your skills match up with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for sports and data, and explain why you want to join our team at Stats Perform. Let us know how your background makes you a perfect fit for this role.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's deploying models in cloud environments or using AI to solve complex problems, 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 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
As a Data Scientist, you’ll be working with complex datasets. Make sure you’re familiar with the types of data Stats Perform uses, especially in sports like soccer and tennis. Brush up on your knowledge of machine learning techniques and be ready to discuss how you’ve applied them in real-world scenarios.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in Python, SQL, and popular ML/AI packages like TensorFlow and PyTorch. You might be asked to solve a coding challenge or explain your approach to building neural networks, so practice articulating your thought process clearly.
✨Communicate Effectively
Since you’ll need to present your solutions to various teams, focus on honing your communication skills. Practice explaining complex technical concepts in simple terms, as you’ll be interacting with both technical and non-technical stakeholders. This will show that you can bridge the gap between data science and business needs.
✨Demonstrate Your Passion for Sports
Stats Perform values a deep interest in sports, particularly soccer and tennis. Be ready to share your thoughts on recent developments in sports analytics and how they relate to your work. Showing genuine enthusiasm for the industry can set you apart from other candidates.