Data Scientist Level 1

What you'll work on

• Develop and implement sports analytics models and algorithms to support decision-making for teams, coaches, and officials across various sports.
• Analyse large and complex data sets to identify trends, patterns, and insights that can be translated into actionable strategies for performance improvements.
• Collaborate with cross-functional teams, including software engineers, product managers, and other data scientists, to develop and deploy data-driven solutions.
• Create visualisations and reports to communicate insights and findings effectively to technical and non-technical stakeholders.
• Assist in the development and maintenance of internal databases, ensuring data quality and accuracy.
• Contribute to the enhancement of Hawk-Eye's proprietary analytics platforms by continuously refining and optimising their performance and user experience.
• Present findings and insights to clients, partners, and internal teams, ensuring they understand the value and implications of the analytics work being performed.
• Participate in the development and delivery of training materials and workshops to help clients and internal team members better understand and utilize sports analytics tools and techniques.
• Actively contribute to the continuous improvement of Hawk-Eye's analytics processes and methodologies, sharing knowledge and expertise with team members to foster a culture of learning and collaboration.

What we're looking for

• Experience with sports data is ideal but not essential.
• Familiarity with sports performance and/or biomechanical data analysis.
• Familiarity with machine learning frameworks and libraries, such as scikit-learn and PyTorch.
• Knowledge of general purpose programming languages such as C++ or Rust.
• Any experience working with large, complex data sets and managing data pipelines, ensuring data quality and integrity.
• Experience in data analysis, predictive modelling, or machine learning, including academic or placement/internship experience.

If you are enthusiastic about sports and data science and are looking for an exciting opportunity to grow your skills and make a meaningful impact in the sports industry, we would love to hear from you!