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- Tasks: Join a dynamic team to solve real-world problems in gaming using data and Python.
- Company: Exciting UK gaming/esports company with a focus on innovation.
- Benefits: Salary up to £85k, training budget, flexible hours, and transport contributions.
- Other info: Agile environment with great perks in a brand-new office.
- Why this job: Make an impact in the gaming industry while working with cutting-edge data technology.
- Qualifications: 3+ years as a Data Scientist, Python skills, and a passion for clean data.
The predicted salary is between 51000 - 85000 £ per year.
Senior Data Scientist | Data, Python, Science
Senior Data Scientist with previous experience using Python is sought after by one of the UK’s most exciting gaming/esports companies. They need a Data Scientist to help their team solve the real-world problems that their technology-driven, data focussed platform faces. You will have the opportunity to join a small, agile team of esports experts and help them build a potentially industry leading data distribution platform.
For this position, they are looking for applicants with the following skillset:
- A passion for clean data/statistics
- At least 3 years’ previous experience as a data scientist
- Python skills/experience
- Comfortable in an Agile environment
- Knowledge of GitHub
- Interest in gaming/esports
- Previous experience with machine learning models and established statistics
In return, they can offer:
- A salary of up to £85k (depending on experience)
- A generous training/personal development budget
- Transport contributions
- Flexible working hours
- A great list of perks in a brand-new office (when you are in the office)
If you are an experienced Data Scientist and want the chance to work in the gaming/esports industry, apply or contact Luke Rose for more details!
Data Scientist employer: Digital Waffle
Contact Detail:
Digital Waffle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the gaming and esports industry on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python and machine learning. Share it on GitHub and make sure it’s easy for potential employers to see what you can do. A strong portfolio can really set you apart!
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with clean data, statistics, and Agile methodologies. Practise common data science interview questions and maybe even do some mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Tailor your application to highlight your passion for gaming and how your skills align with the role. Let’s get you that dream job in the esports industry!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Your Passion for Data: Make sure to highlight your love for clean data and statistics in your application. We want to see how your passion aligns with our mission to tackle real-world problems using data.
Demonstrate Your Python Skills: Since Python is a key part of the role, don’t hold back on showcasing your experience. Include specific projects or examples where you’ve used Python to solve complex problems.
Emphasise Agile Experience: If you've worked in an Agile environment before, let us know! Share how you’ve collaborated with teams and adapted to changes quickly, as this is crucial for our dynamic setting.
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 in the gaming/esports industry!
How to prepare for a job interview at Digital Waffle
✨Know Your Data Inside Out
Make sure you brush up on your data skills before the interview. Be prepared to discuss your previous projects, especially those involving clean data and statistics. Highlight how you've used Python in real-world scenarios, as this will show your practical experience.
✨Show Your Passion for Gaming
Since this role is in the gaming/esports industry, it’s crucial to express your enthusiasm for gaming. Share any relevant experiences or projects that connect your data science skills with gaming. This will help you stand out as someone who truly understands the industry.
✨Familiarise Yourself with Agile Methodologies
As the company operates in an Agile environment, be ready to discuss your experience working in such settings. Prepare examples of how you've adapted to changes quickly and collaborated effectively within a team. This will demonstrate your ability to thrive in their dynamic work culture.
✨Prepare for Technical Questions
Expect technical questions related to Python, machine learning models, and GitHub. Brush up on key concepts and be ready to solve problems on the spot. Practising coding challenges can also help you feel more confident during the technical part of the interview.