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- Tasks: Develop sports analytics models and derive insights from complex data sets.
- Company: Join Hawk-Eye Innovations, a leader in sports technology solutions.
- Benefits: Enjoy 25 days annual leave, hybrid work, and a great pension scheme.
- Why this job: Combine your passion for sports with data science to make a real impact.
- Qualifications: Bachelor’s degree in Data Science or related field; proficiency in Python.
- Other info: Exciting opportunity for growth in a dynamic and collaborative environment.
The predicted salary is between 32080 - 48120 £ per year.
Salary Banding: £32,080 - £48,120 per annum
Contract: Full-Time, Permanent
Working Location: Hybrid, 2 Days a week in the office, minimum
Office Locations: Basingstoke, London, Bristol
Join Our Team as a Data Scientist at Hawk-Eye Innovations. 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.
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 utilise 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.
Main Requirements
- Bachelor’s degree or equivalent in Data Science, Mathematics, Physical Sciences, Biomechanics, Computer Science or a similar related field.
- Knowledge of sports rules, strategies, and basic statistical concepts.
- Proficiency in Python and experience with data manipulation (e.g. pandas, polars) and visualisation tools (e.g. plotly, matplotlib).
- Strong communication and presentation skills.
- Passion for sports and ideally sports analytics, with a desire to continuously learn and stay up-to-date with industry developments.
Bonus Skills
- 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!
Benefits & Perks
- 25 days annual leave (excluding bank holidays)
- Enhanced pension scheme with 5% matching
- Hybrid working model
- Complimentary Unmind wellbeing app
- Sony Group Company discounts
Equal Opportunity Employer
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, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Apply Today
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 from you. If possible, please apply with a cover letter, it will help you stand out!
Data Scientist - Level 1 in Basingstoke employer: Hawk-Eye Innovations
Contact Detail:
Hawk-Eye Innovations Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Level 1 in Basingstoke
✨Tip Number 1
Network like a pro! Reach out to people in the sports tech industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to sports analytics. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for the interview by brushing up on your knowledge of sports rules and strategies. Being able to discuss how your data insights can impact performance will impress the hiring team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Data Scientist - Level 1 in Basingstoke
Some tips for your application 🫡
Show Your Passion for Sports: When writing your application, let your love for sports shine through! We want to see how your enthusiasm for sports and analytics can contribute to our team. Share any relevant experiences or projects that highlight this passion.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Data Scientist role. Highlight your skills in Python, data manipulation, and visualisation tools, and relate them to the responsibilities mentioned in the job description. This will help us see how you fit into our team!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate well-structured applications that get straight to the important stuff without unnecessary fluff.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at Hawk-Eye Innovations.
How to prepare for a job interview at Hawk-Eye Innovations
✨Know Your Data Science Basics
Make sure you brush up on your data science fundamentals, especially in Python and data manipulation libraries like pandas. Be ready to discuss how you've used these skills in past projects or coursework, as this will show your practical understanding of the role.
✨Show Your Passion for Sports
Since this role is all about sports analytics, let your enthusiasm for sports shine through! Be prepared to talk about your favourite sports, any relevant experiences, and how you think data can enhance performance in those areas.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining your thought process when analysing data sets or developing models. You might even be asked to solve a problem on the spot, so keep your analytical skills sharp!
✨Communicate Clearly
You'll need to present your findings to both technical and non-technical stakeholders. Practice explaining complex concepts in simple terms, and consider preparing a few examples of how you've effectively communicated insights in the past.
