Data Scientist - Level 3

Salary Banding: £48,120 - £64,150 per annum

Contract: Full-Time, Permanent

Working Location: Hybrid, 2 Days a week in the office, minimum

Office Locations: Basingstoke, London, Bristol

Hawk-Eye Innovations is a leading provider of sports technology solutions, dedicated to enhancing the accuracy and efficiency of officiating, coaching, and fan engagement across a variety of sports. We are seeking a talented and motivated Data Scientist with a strong passion for sports and analytics to join our team. The ideal candidate will possess a keen interest in sports, a solid foundation in data science, and the ability to derive insights from complex data sets.

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• Develop and implement sports analytics models and algorithms to support decision-making for teams, coaches_EQand 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.
  

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• Bachelor’s degree or equivalent in Data Science, Mathematics, Physical Sciences, Biomechanics, Computer Science or a similar related field.
  
• Two or more years of experience in data science, machine learning, predictive modelling or similar (including post‑grad academic experience).
  
• Strong Python skills and a relevant data analysis stack (e.g. pandas, NumPy, scikit‑learn, etc.).
  
• Experience with a deep learning framework (PyTorch preferred).
  
• Strong communication and presentation skills, with the ability to effectively convey complex information to both technical and non‑technical creators.
  
• An understanding of cloud and big data processing.
  
• Passion for sports and ideally sports analytics, with a desire to continuously learn and stay up‑to‑date with industry developments.
  

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• Experience with sports data is ideal but not essential.
  
• Familiarity with sports performance and biomechanical analysis would be nice.
  
• Knowledge of other scripting languages (e.g. R, JS) and/or general purpose programming languages (e.g. C++, Rust).
  
• Experience working with large, complex data sets and managing data pipelines, ensuring data quality and integrity.
  
• Familiarity with Agile working.
  

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• 25 days annual leave (excluding bank holidays)
  
• Enhanced pension scheme with 5% matching
  
• Hybrid working model
  
• Complimentary Unmind wellbeing app
  
• Sony Group Company discounts
  

At Hawk‑Eye Innovations, we value diversity and treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate based on race, religion, colour trill, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If you’re excited by the idea of solving real‑world problems at scale and want to make a difference in the world of sports tech, we’d love to hear about you. If possible, please apply with a cover letter, it will help you stand out.