Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Tackle real-world challenges using Python and machine learning in gaming/esports.
- Company: Leading gaming/esports company in Greater London with a dynamic team.
- Benefits: Competitive salary up to £85k, transport contributions, and exciting perks.
- Why this job: Join an agile team and make a real impact in the gaming industry.
- Qualifications: 3+ years of experience in data science, Python, and machine learning.
The predicted salary is between 51000 - 85000 £ per year.
A leading gaming/esports company in Greater London is seeking a Senior Data Scientist with at least 3 years of experience. In this role, you will work closely with an agile team to tackle real-world challenges facing their data-driven platform. The ideal candidate should be skilled in Python and machine learning.
They offer a competitive salary of up to £85k, transport contributions, and a great list of perks in a brand-new office environment.
Senior Data Scientist - Gaming/Esports ML & Python employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Gaming/Esports ML & Python
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and esports industry on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to gaming. This will give you an edge and demonstrate your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and ML knowledge. Practice common data science interview questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We make it easy for you to find the right opportunities and connect with us directly. Plus, we love seeing applications from passionate candidates like you!
We think you need these skills to ace Senior Data Scientist - Gaming/Esports ML & Python
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python and machine learning. We want to see how your skills align with the challenges we face in the gaming/esports industry.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data science in gaming and how you can contribute to our agile team. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any cool projects related to gaming or machine learning, don’t hold back! We love seeing practical applications of your skills, so include links or descriptions of your work.
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 this exciting opportunity!
How to prepare for a job interview at Digital Waffle
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with libraries like Pandas, NumPy, and Scikit-learn, as well as any projects where you've implemented machine learning algorithms.
✨Showcase Your ML Projects
Prepare to talk about specific machine learning projects you've worked on. Highlight the challenges you faced, how you approached them, and the impact your work had. This will demonstrate your problem-solving skills and practical experience.
✨Understand the Gaming/Esports Landscape
Familiarise yourself with the gaming and esports industry trends. Knowing the latest developments and challenges in this space will show your passion and help you connect your skills to their needs.
✨Ask Insightful Questions
Prepare thoughtful questions to ask during the interview. Inquire about the team dynamics, the types of data you'll be working with, and how success is measured in the role. This shows your genuine interest and helps you assess if it's the right fit for you.
