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 cutting-edge 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.
Overview
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.
How do we add value?
- Media outlets add a little magic to their coverage with our stats and graphics packages.
- Sportsbooks can offer better predictions and more accurate odds.
- The world's top coaches are known to use our data to make critical team decisions.
- Sports commentators can engage with fans on a deeper level, using our stories and insights.
Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine. We succeeded thanks to a team of amazing people who spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience!
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 Heath employer: 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 Heath
✨Tip Number 1
Network like a pro! Get out there and connect with people in the sports tech industry. Attend meetups, webinars, or even local events. You never know who might have the inside scoop on job openings at Stats Perform!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to sports analytics. This will give you an edge when chatting with potential employers and demonstrate your passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, SQL, and machine learning techniques. And don’t forget to highlight your love for sports – it’s a big plus!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, you’ll be one step closer to joining a team that values diversity and creativity in the sports tech world.
We think you need these skills to ace Data Scientist - London, United Kingdom in Heath
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 that match what we're looking for. We want to see how your skills can contribute to our sports data magic!
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 want to join Stats Perform. Let us know how your background aligns with our mission to enhance sports experiences.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them! Whether it's deploying models in cloud environments or using AI in sports analytics, we want to see your hands-on experience and creativity in action.
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 to be part of our team!
How to prepare for a job interview at Stats Perform
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and experiences with data science. Be ready to discuss specific machine learning techniques you've used, especially in sports analytics. Stats Perform values practical knowledge, so showcasing your expertise in Python, SQL, and relevant ML packages will definitely impress.
✨Showcase Your Passion for Sports
Since Stats Perform is all about sports data, make sure to express your enthusiasm for sports, particularly soccer and tennis. Share any personal experiences or insights you have about how data impacts these sports. This will help you connect with the interviewers and demonstrate that you're not just a data scientist, but also a sports fan.
✨Prepare to Present Your Solutions
Be ready to explain your past projects clearly and concisely. Practice presenting your solutions as if you were talking to both technical and non-technical audiences. Stats Perform appreciates candidates who can communicate complex ideas effectively, so focus on clarity and engagement during your explanations.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the latest AI technologies they’re exploring or how they envision the future of sports analytics. This shows your genuine interest in the company and its direction, making you stand out as a proactive candidate.