At a Glance
- Tasks: Develop sports analytics models and analyse complex data sets to improve performance.
- Company: Hawk-Eye Innovations is a leader in sports analytics, enhancing decision-making for teams and officials.
- Benefits: Enjoy hybrid working, 25 days leave, gym access, and discounts on Sony products.
- Why this job: Join a passionate team, work with cutting-edge technology, and make a real impact in sports.
- Qualifications: Bachelor’s degree in a related field and proficiency in Python or similar programming languages required.
- Other info: Diversity is valued; all applicants are welcomed regardless of background.
The predicted salary is between 39560 - 48120 £ per year.
Data Scientist
Salary: £39,560 – £48,120
Hybrid Working : 2 days per week in the office
Location : Basingstoke, London or Bristol
Join Our Team as a Data Scientist at Hawk-Eye Innovations
Hi, I\’m Sam Green , Head of Data Science at Hawk-Eye Innovations. 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.
What You\’ll Be Doing
- 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
- Bachelor’s degree or equivalent in Statistics, Data Science, Physical Sciences, Biomechanics, Computer Science, Mathematics, or a similar related field.
- Knowledge of sports rules, strategies, and basic statistical concepts.
- Proficiency in programming languages such as Python (Preferred), R, or Julia, and experience with data manipulation and visualization tools like pandas, dplyr, plotly, or D3.js.
- Strong communication and presentation skills, with the ability to effectively convey complex information to both technical and non-technical audiences.
- Passion for sports and sports analytics, with a desire to continuously learn and stay up-to-date with industry developments.
Bonus Points For
- Experience with sports data is ideal but not essential.
- Familiarity with sports performance and biometric data analysis would be nice.
- Familiarity with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-learn.
- Any experience working with large, complex data sets and managing data pipelines, ensuring data quality and integrity.
- Some experience in data analysis, predictive modelling, or machine learning, including academic or placement/internship experience.
What We Offer You
- 25 days annual leave in addition to 8 public holidays
- Enhanced pension scheme (with 5% matching)
- Flexible working
- Complimentary Unmind app
- Access to sporting events and tickets
- Onsite gym (Basingstoke)
- 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, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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!
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Data Scientist employer: Houston Texans
Contact Detail:
Houston Texans Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in sports analytics. Follow industry leaders on social media and read relevant blogs or publications to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the sports data science community. Attend meetups, webinars, or conferences related to sports analytics. Building connections can lead to valuable insights and potential referrals for job opportunities.
✨Tip Number 3
Showcase your skills through personal projects or contributions to open-source initiatives. Create a portfolio that highlights your ability to analyse sports data and develop models. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and data analysis problems. Use platforms like LeetCode or Kaggle to sharpen your skills in Python or R. Being well-prepared will boost your confidence and performance during the interview process.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and any specific projects related to sports analytics. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for sports and data science. Mention specific examples of how your skills can contribute to Hawk-Eye Innovations and align with their goals.
Showcase Technical Skills: In your application, emphasise your proficiency in programming languages like Python, R, or Julia. Include any relevant projects or experiences that demonstrate your ability to analyse complex data sets.
Prepare for Interviews: If selected for an interview, be ready to discuss your analytical approach and problem-solving skills. Prepare to explain how you would develop sports analytics models and communicate insights effectively.
How to prepare for a job interview at Houston Texans
✨Show Your Passion for Sports
Make sure to express your enthusiasm for sports during the interview. Discuss any relevant experiences or projects that showcase your love for sports and how it ties into your data science skills.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with programming languages like Python, R, or Julia. Highlight specific projects where you used data manipulation and visualisation tools, and be ready to solve a technical problem on the spot.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. Since you'll be working with both technical and non-technical stakeholders, being able to convey your insights clearly is crucial.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would approach real-world problems in sports analytics. Think about how you would analyse data sets, identify trends, and present your findings to different audiences.