Data Scientist

Data Scientist

Southampton Full-Time 28800 - 42000 ÂŁ / year (est.) No home office possible
T

At a Glance

  • Tasks: Join us to analyze tennis data and generate insights for performance metrics.
  • Company: TennisViz, part of Ellipse Group, leads in sports analytics and data processing.
  • Benefits: Enjoy 25 days holiday, hybrid work, pension scheme, and flexible employee benefits.
  • Why this job: Be at the forefront of sports analytics with autonomy and growth opportunities.
  • Qualifications: 2+ years in Data Science, strong sports knowledge, and machine learning skills required.
  • Other info: Opportunity to work across various sports and contribute to innovative projects.

The predicted salary is between 28800 - 42000 ÂŁ per year.

Data Scientist About Summary: TennisViz, part of the Ellipse Group, is the world leader in using algorithmic software to process player and ball tracking data to create ground-breaking analysis in real time. Our unique automated software captures every shot, situation, phase, and tactic, which are the foundation of a new set of performance metrics called TennisViz Insights. Job Description With ambitious plans for growth, we are looking to recruit a Data Scientist to join us at the cutting edge of sports analytics. This is a unique opportunity to be part of the growth story of our rapidly expanding business. Responsibilities: You will be working with experienced tennis analysts, using a very extensive tennis database consisting of match results, official point-by-point data and ball/player tracking data etc. from all levels of the professional game. You will be analysing and interpreting granular tracking data to generate new insights on player performances and build accurate pricing models for new betting markets, as well as for use by other clients such as broadcasters and professional coaches. You will have full autonomy on ideas and approaches to projects. You may also have the opportunity to work on other sports in the business such as Cricket, Rugby & Horse Racing. Requirements: 2+ years of professional experience in Data Science or equivalent academic experience demonstrating relevant skills. Knowledge and thorough understanding of sports betting markets. Strong interest and knowledge in a variety of sports, in particular tennis. Knowledge of machine learning and statistical models, e.g. linear/logistic regression, decision trees, random forest, neural networks, unsupervised methods, hypothesis testing etc. Experience with the PyData stack (pandas, numpy, scikit-learn, XGBoost, matplotlib etc.). Experience using relational databases and SQL. A passion for data and ability to convey complex information through Data Visualisation. Nice to have: Experience working with sports data. Familiarity developing API’s. Comfortable working with the command line. Equality & diversity Ellipse is committed to building an open and inclusive culture that supports personal development and learning. Ellipse believes in the principle of equal opportunity in employment and its employment policies for recruitment, training, development and promotion despite any differences based on individual grounds of race, colour, nationality, religion or belief, sex, sexual orientation, marital status, age, ethnic and national origin, disability or gender reassignment. Benefits 25 days’ holiday plus bank holidays Hybrid role with an expectation to work from our new offices in London and Leeds when required Company pension scheme Company life insurance Flexible Employee Benefits About Ellipse: TennisViz is part of Ellipse. Ellipse is a leading sports data and analytics company comprising CricViz, FootballViz, Horse Racing, RugbyViz (Oval and Stuart Farmer Media Services) and TennisViz. Working with the world’s biggest broadcasters, professional teams and rights holders, we simplify complex data to engage a broad and diverse audience and tell better stories about the sports we love. To apply, please send your CV (maximum two pages) to careers@ellipsedata.com with the subject “TennisViz Data Scientist”. Please also include one example of work demonstrating the above skills (e.g. blog post or GitHub repo). We cannot promise to respond to all applicants due to the volume we receive.

Data Scientist employer: TennisViz

At TennisViz, part of the Ellipse Group, we pride ourselves on being at the forefront of sports analytics, offering a dynamic work environment that fosters innovation and personal growth. Our commitment to equality and diversity ensures that every team member feels valued and empowered, while our hybrid work model and generous benefits package, including 25 days of holiday and a company pension scheme, provide the perfect balance for a fulfilling career. Join us in our new London and Leeds offices, where you will have the opportunity to collaborate with experienced analysts and contribute to groundbreaking insights in the world of sports.
T

Contact Detail:

TennisViz Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist

✨Tip Number 1

Familiarize yourself with the latest trends in sports analytics, especially in tennis. Understanding how data is currently being used to enhance player performance and betting markets will give you an edge during discussions with our team.

✨Tip Number 2

Showcase your passion for sports by engaging with tennis communities online. Whether it's through forums, social media, or blogs, demonstrating your knowledge and enthusiasm for the sport can make a strong impression.

✨Tip Number 3

Prepare to discuss specific projects where you've applied machine learning techniques. Be ready to explain your thought process and the impact of your work, as we value autonomy and innovative ideas.

✨Tip Number 4

If you have experience with sports data, be sure to highlight it! Discuss any relevant projects or analyses you've conducted, as this will demonstrate your capability to contribute to our unique insights at TennisViz.

We think you need these skills to ace Data Scientist

Data Analysis
Machine Learning
Statistical Modeling
Linear Regression
Logistic Regression
Decision Trees
Random Forest
Neural Networks
Unsupervised Learning
Hypothesis Testing
PyData Stack (pandas, numpy, scikit-learn, XGBoost, matplotlib)
SQL
Data Visualization
Knowledge of Sports Betting Markets
Interest in Various Sports (especially Tennis)
Autonomous Project Management
API Development (nice to have)
Command Line Proficiency (nice to have)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your relevant experience in Data Science, especially any work related to sports analytics or betting markets. Keep it concise and limit it to two pages as specified.

Showcase Your Skills: Include a specific example of your work that demonstrates your skills in data analysis, machine learning, or data visualization. This could be a blog post, a GitHub repository, or any project that showcases your expertise.

Craft a Strong Email: When sending your application, write a brief but engaging email. Use the subject line 'TennisViz Data Scientist' as instructed, and express your enthusiasm for the role and the company.

Follow Up: If you haven't heard back after a couple of weeks, consider sending a polite follow-up email to inquire about the status of your application. This shows your continued interest in the position.

How to prepare for a job interview at TennisViz

✨Show Your Passion for Sports Analytics

Make sure to express your enthusiasm for sports, especially tennis. Share any personal projects or analyses you've done related to sports data, as this will demonstrate your genuine interest and commitment to the field.

✨Demonstrate Your Technical Skills

Be prepared to discuss your experience with the PyData stack and any machine learning models you've implemented. Bring examples of your work, such as code snippets or visualizations, to showcase your technical expertise.

✨Understand the Betting Markets

Since knowledge of sports betting markets is crucial for this role, familiarize yourself with how these markets operate. Be ready to discuss any relevant experiences or insights you have regarding pricing models and player performance metrics.

✨Prepare Questions About the Company and Role

Show your interest in the company by preparing thoughtful questions about TennisViz's projects, future plans, and the team you'll be working with. This not only demonstrates your enthusiasm but also helps you assess if the company is the right fit for you.

Data Scientist
TennisViz
T
  • Data Scientist

    Southampton
    Full-Time
    28800 - 42000 ÂŁ / year (est.)

    Application deadline: 2027-01-22

  • T

    TennisViz

Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>