Data Scientist

Data Scientist

Leeds Full-Time 36000 - 60000 £ / year (est.) No home office possible
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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 with innovative software.
  • Benefits: Enjoy a hybrid work model, pension scheme, life insurance, and flexible benefits.
  • Why this job: Be at the forefront of sports analytics, working with passionate experts in a dynamic environment.
  • Qualifications: 2+ years in Data Science, strong sports knowledge, and experience with machine learning and SQL required.
  • Other info: Opportunity to work across various sports like Cricket and Rugby.

The predicted salary is between 36000 - 60000 £ per year.

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.

With ambitious plans for growth, we are looking to recruit a Data Scientist to join us at the cutting edge of sports analytics.

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 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.
  • Experience working with sports data.
  • Familiarity developing APIs.
  • 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

  • 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 Benefit.

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, send your CV (maximum two pages) to 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.

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Data Scientist employer: Ellipsedata

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 creativity. Our commitment to employee growth is evident through our inclusive culture and opportunities to collaborate with experienced analysts across various sports, all while enjoying the flexibility of a hybrid work model in our vibrant London and Leeds offices. Join us to not only advance your career but also to contribute to groundbreaking insights that shape the future of sports performance analysis.
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Contact Detail:

Ellipsedata 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 a competitive edge during discussions.

Tip Number 2

Showcase your experience with the PyData stack by working on personal projects or contributing to open-source initiatives. This not only demonstrates your technical skills but also your passion for data science in sports.

Tip Number 3

Engage with the sports analytics community through forums, webinars, or social media. Networking with professionals in the field can provide insights into the industry and potentially lead to referrals.

Tip Number 4

Prepare to discuss specific examples of how you've applied machine learning techniques to real-world problems. Being able to articulate your thought process and results will impress the interviewers.

We think you need these skills to ace Data Scientist

Data Science
Machine Learning
Statistical Models
Linear Regression
Logistic Regression
Decision Trees
Random Forest
Neural Networks
Unsupervised Methods
Hypothesis Testing
PyData Stack (pandas, numpy, scikit-learn, XGBoost, matplotlib)
SQL
Data Visualization
Sports Data Analysis
API Development
Command Line Proficiency
Analytical Skills
Attention to Detail
Communication Skills
Problem-Solving Skills

Some tips for your application 🫡

Understand the Role: Make sure you fully understand the responsibilities and requirements of the Data Scientist position at TennisViz. Familiarize yourself with the specific skills mentioned, such as knowledge of sports betting markets and experience with the PyData stack.

Tailor Your CV: Craft your CV to highlight relevant experience in data science, particularly in sports analytics. Emphasize your familiarity with machine learning models and any previous work with sports data to make your application stand out.

Include a Work Sample: As requested, include an example of your work that demonstrates your skills. This could be a blog post or a GitHub repository showcasing your data analysis projects, especially those related to sports.

Follow Application Instructions: When applying, ensure you send your CV with the correct subject line 'TennisViz Data Scientist' as specified. Double-check that all documents are attached and formatted correctly before submitting your application through our website.

How to prepare for a job interview at Ellipsedata

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 machine learning models. Bring examples of how you've applied these tools in past projects, particularly in analyzing sports data or building predictive models.

Understand the Betting Market

Since knowledge of sports betting markets is crucial for this role, familiarize yourself with current trends and metrics used in betting. Be ready to discuss how you would approach building pricing models based on player performance data.

Prepare a Relevant Work Sample

Include a work sample that showcases your data analysis skills, such as a blog post or a GitHub repository. This will provide tangible evidence of your capabilities and help you stand out among other candidates.

Data Scientist
Ellipsedata
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  • Data Scientist

    Leeds
    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-02-08

  • E

    Ellipsedata

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