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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data sciencemachine learningpredictive modellingPythonpandasNumPyscikit-learndeep learningPyTorchdata analysis

Soft skills

communication skillspresentation skillscollaborationproblem-solvinganalytical thinkinginterpersonal skillstraining and developmentadaptabilityteamworkknowledge sharing