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 volunteering opportunities.
- 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.
- Other info: Be part of a diverse team that values creativity and inclusion.
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 Harringay 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 Harringay
✨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. Practice explaining complex concepts in simple terms – it’s key to impressing both technical and non-technical interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Stats Perform team and contributing to our mission in sports tech.
We think you need these skills to ace Data Scientist - London, United Kingdom in Harringay
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 your past projects and experiences with data science. Be ready to discuss specific machine learning techniques you've implemented, especially those relevant to sports data. Stats Perform values practical experience, so showcasing your hands-on skills will definitely impress.
✨Brush Up on Your Python and SQL Skills
Since expert proficiency in Python and SQL is a must, make sure you're comfortable discussing your coding practices. Prepare to solve a coding challenge or explain your thought process behind a project where you used these languages. This will demonstrate your technical prowess and problem-solving abilities.
✨Show Your Passion for Sports
Stats Perform thrives on a love for sports, particularly soccer and tennis. Make sure to express your enthusiasm for these sports during the interview. Share any relevant experiences or insights you have about sports analytics, as this will show that you’re not just a data scientist, but also a sports fan who understands the industry.
✨Communicate Clearly and Confidently
With the need to present solutions to various teams, strong communication skills are key. Practice explaining complex concepts in simple terms, as you'll likely need to bridge the gap between technical and non-technical stakeholders. Being able to articulate your ideas clearly will set you apart from other candidates.