Junior Data Scientist - TennisViz in London

Junior Data Scientist - TennisViz in London

London Full-Time 63000 - 77000 £ / year (est.) Hybrid
E

At a Glance

  • Tasks: Analyse sports data to generate insights for broadcasters and coaches.
  • Company: Join TennisViz, a leader in sports analytics and part of the innovative Ellipse Group.
  • Benefits: Enjoy a hybrid role, company pension, life insurance, and a supportive work culture.
  • Other info: Opportunity for personal development in an inclusive and diverse environment.
  • Why this job: Be at the forefront of sports analytics and contribute to exciting projects in tennis and beyond.
  • Qualifications: Passion for sports, experience with PyData stack, and knowledge of machine learning.

The predicted salary is between 63000 - 77000 £ per year.

Tennis Viz, 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 Tennis Viz Insights.

With ambitious plans for growth, we are looking to recruit a Junior 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 for use by clients such as broadcasters and professional coaches.
  • You may also have the opportunity to work on other sports in the business such as Cricket, Rugby & Horse Racing.

Requirements

  • Strong interest and knowledge in a variety of sports, in particular tennis.
  • Experience with the Py Data stack (pandas, numpy, scikit-learn, matplotlib etc.).
  • Knowledge of machine learning and statistical models, e. g. linear/logistic regression, decision trees, random forest, unsupervised methods etc.
  • Basic knowledge of relational databases and SQL.
  • Experience conveying complex information through Data Visualisation.
  • Nice to have
  • Experience working with sports data.
  • Understanding of version control systems like Git.
  • Comfortable working with the command line.

Benefits

  • Hybrid role with an expectation to work from our new offices in London and Leeds when required
  • Company pension scheme
  • Company life insurance
  • 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.

About Ellipse

Tennis Viz is part of Ellipse.

Ellipse is a leading sports data and analytics company comprising Cric Viz, Football Viz, Horse Racing, Rugby Viz (Oval and Stuart Farmer Media Services) and Tennis Viz.

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.

Please apply using this link

  • We cannot promise to respond to all applicans due to the volume we receive
  • #J-18808-Ljbffr

Junior Data Scientist - TennisViz in London employer: Ellipse

Ellipse is an exceptional employer that fosters a vibrant and inclusive work culture, where innovation thrives and personal development is prioritised. Located in Kennington, London, our hybrid working model allows for flexibility while engaging with a passionate team dedicated to revolutionising sports performance data. With comprehensive training opportunities, a supportive Employee Assistance Programme, and a commitment to diversity, we empower our employees to grow and excel in their careers.

E

Contact Details:

Ellipse Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior Data Scientist - TennisViz in London

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ellipse!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Junior Data Scientist - TennisViz at Ellipse.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ellipse.

✨Apply Directly through Our Website

When you find a suitable opening like Junior Data Scientist - TennisViz at Ellipse, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Junior Data Scientist - TennisViz in London

Data Analysis
Machine Learning
Statistical Models
PyData Stack (pandas, numpy, scikit-learn, matplotlib)
Relational Databases
SQL
Data Visualisation

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Ellipse, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ellipse. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Ellipse

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ellipse!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.