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- Tasks: Tackle real-world challenges using Python and machine learning in gaming/esports.
- Company: Leading gaming/esports company in Greater London with a vibrant culture.
- Benefits: Competitive salary up to £85k, transport contributions, and exciting perks.
- Why this job: Join an agile team and make a significant impact in the gaming industry.
- Qualifications: 3+ years of experience in data science, proficient in Python and machine learning.
- Other info: Work in a brand-new office environment with great career growth potential.
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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and esports industry on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and machine learning models. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you've tackled real-world data challenges. We want to see your problem-solving skills in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Scientist - Gaming/Esports | ML & Python in London
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: Use your cover letter to tell us why you're passionate about gaming and esports. Share specific examples of how you've tackled data-driven challenges in the past, and let your personality shine through!
Showcase Your Projects: If you've worked on any relevant projects, especially in gaming or esports, make sure to mention them. We love seeing practical applications of your skills, so don’t hold back!
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 prepared 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
Bring examples of your previous work in machine learning, especially those relevant to gaming or esports. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your practical experience and problem-solving skills.
✨Understand the Gaming Industry
Familiarise yourself with current trends and challenges in the gaming and esports sectors. Showing that you understand the industry will not only impress your interviewers but also help you relate your skills to their specific needs.
✨Prepare for Team Dynamics Questions
Since you'll be working closely with an agile team, expect questions about collaboration and teamwork. Think of examples where you've successfully worked in a team setting, highlighting your communication skills and adaptability.