Data Scientist

Hawk Eye Innovations; Basingstoke; Hybrid; GBP 39,000 - 49,000; Full time

Job summary

A leading sports analytics company in the UK is seeking a passionate Data Scientist to develop sports analytics models and provide insights from complex datasets. You will collaborate with diverse teams and communicate findings effectively. The ideal candidate has a deep interest in sports and strong skills in Python and data analysis. Enjoy a hybrid working model and numerous employee benefits including flexible working conditions and access to sporting events.

Benefits

25 days annual leave plus 8 public holidays

Enhanced pension scheme with 5% matching

Flexible working

Access to sporting events

Onsite gym in Basingstoke

Qualifications

• Strong foundation in data science and sports analytics.
• Ability to convey complex information to technical and non-technical audiences.
• Passion for sports and commitment to continuous learning.

Responsibilities

• Develop and implement sports analytics models and algorithms.
• Collaborate with cross-functional teams to deploy data-driven solutions.
• Analyze large datasets to identify trends and provide actionable insights.

Skills

Data analysis

Communication

Statistical knowledge

Python programming

Data visualization

Education

Bachelor's degree in Statistics, Data Science or related field

Tools

Python

pandas

dplyr

TensorFlow

Job description

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!