At a Glance
- Tasks: Analyse athlete tracking data to deliver insights for broadcasters and coaches.
- Company: Leading sports data and analytics company in the UK.
- Benefits: Hybrid work model, competitive salary, and opportunities for growth.
- Other info: Join a dynamic team at the forefront of sports analytics.
- Why this job: Combine your passion for sports with data science to make a real impact.
- Qualifications: Strong interest in sports, knowledge of the PyData stack, and data visualisation experience.
The predicted salary is between 30000 - 40000 € per year.
A leading sports data and analytics company in the UK is seeking a Junior Data Scientist to join its team at the forefront of sports analytics. This role involves analyzing athlete tracking data to provide insights to clients such as broadcasters and professional coaches.
Candidates should have a strong interest in sports, detailed knowledge of the PyData stack, and experience in data visualization.
This position offers a hybrid work model with offices in London and Leeds.
Junior Data Scientist: Tennis Analytics & Insights in London employer: Ellipse
As a leading sports data and analytics company, we pride ourselves on fostering a dynamic work culture that values innovation and collaboration. Our hybrid work model allows for flexibility while being part of a passionate team dedicated to transforming sports through data insights. With ample opportunities for professional growth and development, especially in the vibrant cities of London and Leeds, we are committed to supporting our employees in achieving their career aspirations in the exciting field of sports analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Scientist: Tennis Analytics & Insights in London
✨Tip Number 1
Network like a pro! Reach out to people in the sports analytics field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that Junior Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects, especially those related to sports. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of the PyData stack. We recommend practising common data science interview questions and even doing mock interviews with friends to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing passionate candidates who are eager to join our team!
We think you need these skills to ace Junior Data Scientist: Tennis Analytics & Insights in London
Some tips for your application 🫡
Show Your Passion for Sports:When you're writing your application, let your love for sports shine through! We want to see how your interest in tennis and sports analytics can contribute to our team. Share any relevant experiences or projects that highlight this passion.
Highlight Your Technical Skills:Make sure to showcase your knowledge of the PyData stack and data visualisation techniques. We’re looking for someone who can dive into data and extract meaningful insights, so don’t hold back on detailing your technical expertise!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your skills align with the job description and how you can add value to our team. A personalised touch goes a long way in making your application stand out!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and submit your details!
How to prepare for a job interview at Ellipse
✨Know Your Data
Make sure you brush up on your knowledge of the PyData stack. Be ready to discuss how you've used libraries like Pandas, NumPy, and Matplotlib in your previous projects. Having specific examples at hand will show your practical experience and understanding.
✨Show Your Passion for Sports
Since this role is all about sports analytics, demonstrate your enthusiasm for sports during the interview. Share any personal experiences or insights you've gained from following tennis or other sports, and how they relate to data analysis.
✨Prepare for Technical Questions
Expect some technical questions related to data analysis and visualisation. Practice explaining your thought process when tackling data problems, and be prepared to solve a sample problem on the spot. This will showcase your analytical skills and problem-solving abilities.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready to ask the interviewer. Inquire about the types of projects you'll be working on or how the team collaborates on data insights. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
