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Data Scientist London, England

Hawk-Eye Innovations

Full Time London, England 24000 - 28000 GBP ANNUAL Today

Job description

Hawk-Eye Innovations is a leading provider of sports technology solutions, with an emphasis on improving the accuracy and efficiency of officiating, coaching, and fan engagement. We are currently seeking a talented and experienced Data Scientist with a strong background in US sports, in particular basketball, knowledge and analytics to join our team. The ideal candidate will possess a passion for sports & analytics, and the ability to derive insights from complex data sets.

Key Responsibilities

Responsibilities:

Develop and implement advanced sports analytics models and algorithms to help drive informed decision-making for teams, coaches, and officials.

Analyse large and complex data sets to identify trends, patterns, and insights that can be translated into actionable strategies for on-court 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 effectively communicate insights and findings to both technical and non-technical stakeholders.

Stay up-to-date with the latest sports analytics research, methodologies, and industry trends to ensure our analytics solutions remain cutting-edge.

Assist in the development and maintenance of internal databases, ensuring data quality and accuracy.

Contribute to the enhancement of Hawk-Eye's proprietary basketball analytics platform by continuously refining and optimising its performance and user experience.

Present findings and insights to clients, partners, and internal teams, ensuring that 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 basketball analytics tools and techniques.

Actively contribute to the continuous improvement of Hawk-Eye'sanalytics processes and methodologies, sharing knowledge and expertise with team members to foster a culture of learning and collaboration.

Skills, Knowledge and Expertise

Requirements:

Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, or a related field; a Master's degree is preferred.

2 years of experience in data analysis, predictive modelling, or machine learning

Strong knowledge of basketball rules, strategies, and advanced statistical concepts.

Proficiency in programming languages such as Python, R, or Julia, and experience with data manipulation and visualisation tools like pandas, dplyr,, plotly, or D3.js.

Familiarity with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or Scikit-learn.

Excellent analytical, problem-solving, and critical thinking skills, with the ability to interpret complex data and draw meaningful conclusions.

Strong communication and presentation skills, with the ability to effectively convey complex information to both technical and non-technical audiences.

Experience working with large, complex data sets and managing data pipelines, ensuring data quality and integrity.

Proven ability to work both independently and as part of a collaborative, cross-functional team.

Passion for basketball and sports analytics, with a desire to continuously learn and stay up-to-date with industry developments.

Preferred Qualifications:

Experience with player tracking data is ideal but not essential.

Familiarity with sports performance and biometric data analysis.

Previous experience working with professional sports teams or organisations in a data-driven capacity.

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

To apply for this exciting opportunity, please submit your CV and a cover letter detailing your relevant experience and passion for sports data!. We look forward to hearing from you!

About Hawk-Eye Innovations

About Hawk-Eye
Hawk-Eye Innovations have been at the forefront of sports officiating and broadcast enhancement technology since 2001. The world’s biggest sporting events trust Hawk-Eye to make the right call when it matters most.

Hawk-Eye’s vision-processing, video replay and creative graphic technologies make sport fairer, safer, more engaging and better informed. Our innovations are constantly changing the face of sports officiating, production, content management, and fan engagement in every sport.

Hawk-Eye Innovations form a key part of the Sony Sports Innovations Group with a shared mission to deliver best-in-class officiating, broadcast and digital solutions to the sports world.

Our Values

At Hawk-Eye Innovations, our three core values underpin our success, ensuring that we continue to be a leading innovator in sports technology on a global scale. Our business is filled with exceptional talent that helps to ensure that the World’s biggest sporting events trust us to make the right call when it matters the most. We deliver on this by ensuring that:

WE ARE BRAVE
- Confident in solving almost impossible problems, pioneering and ambitious for our clients and for ourselves. We are bold leaders in the industry, driven by possibilities and striving with pace and energy. We understand our risks and love the challenge.
WE ARE OWNERS
- Our business is our own; we feel every win, and especially the losses. We take pride in excellence and trust ourselves to do what’s right, relentlessly. We make decisions like owners, with endeavour and entrepreneurialism. We are serious about what we do, and have fun whilst doing it.
WE ARE INCLUSIVE
- We are one team; a community that’s connected and open. No secrets, no politics, just honesty and respect. We value diverse thinking, and diverse people - this helps us innovate. We treat people as people, who are all integral to our success and we celebrate as one.

Diversity and Inclusion
Our commitment to diversity and inclusion across race, gender, age, religion, identity, and experience drives us forward every day. We celebrate differences. We encourage different opinions and approaches to be heard, and then we come together and build.

Department

Software Engineering - Data Science

Employment Type

Permanent

Location

London, UK

Workplace type

Hybrid

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