Data Scientist

Stats Perform; City of Westminster; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading sports technology company in the UK is searching for a talented Data Scientist to innovate and implement machine learning techniques for sports data across various sports. The ideal candidate should have a Master's or PhD in a related field, at least 3 years of experience, and proficiency in Python, SQL, and ML/AI frameworks. Strong communication skills are essential for collaborating with technical and business teams. The role is based in Westminster and offers challenging projects in a dynamic environment.

Benefits

Flexible working arrangements

Supportive benefits and inclusion initiatives

Volunteering opportunities

Qualifications

• 3+ years of experience working as a data scientist or similar role.
• Experience deploying models in cloud environments and integrating them in end-to-end pipelines.
• Fluency in English; excellent communication and presentation skills.

Responsibilities

• Research and develop innovative machine learning techniques for sports data.
• Productize models alongside engineers and product teams.
• Identify new AI solutions for emerging problems and create project roadmaps.

Skills

Machine learning techniques

Python proficiency

SQL experience

ML/AI packages (TensorFlow, PyTorch)

Statistical techniques (GLM, GAMs)

Neural network architecture design

Cloud deployment (AWS/Google Cloud)

Excellent communication skills

Education

Master's or PhD in data science or related STEM fields

Job description

Responsibilities

• Researching, developing, and implementing innovative machine learning techniques to Stats Perform's sports data across various sports (e.g., soccer and tennis).
• Productizing your models alongside engineers and product teams in a quick and efficient way.
• Presenting your solutions to internal teams to broaden AI proficiency.
• 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 outline a roadmap for delivering the project.
• Support, train, and mentor team members on best machine learning implementation practices.

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 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. We want you to be the creator of the next generation of AI models from Stats Perform!
• Experience deploying models in cloud environments (such as AWS/Google Cloud), making models production-ready, and integrating them in end-to-end cloud pipelines. Co-responsible for ensuring the models you have created are performing in a real-world environment.
• 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. We want to stay on top of the latest research in the sports world and apply the latest techniques in our projects.

About Stats Perform

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 turn, improving how sports fans interact with their favorite sports teams and competitions.

We invite people from all backgrounds to join us. We strive for diversity, equity, and inclusion in all we do.

We support colleagues with benefits and flexible working arrangements. We encourage volunteering and employee resource groups as part of our culture.