Medical Analyst analyzing engagement effectiveness with advanced analytics solutions aligned with Medical business strategies. Collaborating with cross - functional teams to provide insights for US Medical Affairs.
About the role
- Data Scientist developing sports analytics models at Hawk-Eye Innovations. Collaborating with teams to support decision-making and performance improvements in various sports.
Responsibilities
- 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.
Requirements
- 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 audiences
- 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.
Benefits
- Annual leave per local labour law
- Hybrid working (2 days/week in office)
- Sony Group perks – discounted tickets and events
- Cafeteria options (SZÉP Card, nursery/kindergarten support, MOL Bubi Pass)
- Private medical, life & accident insurance, dental discounts
- Seniority awards, Employee Assistance Program
- “All You Can Move” Pass option
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EU
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