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For Companies At a Glance
- Tasks: Join a dynamic team to solve real-world problems in gaming using data science.
- Company: Exciting UK gaming/esports company with a focus on innovation.
- Benefits: Competitive salary, training budget, flexible hours, and great office perks.
- 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.
- Other info: Agile environment with opportunities for personal development and growth.
The predicted salary is between 51000 - 85000 £ per year.
Job Description
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. This is your chance to shine!
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with clean data and statistics, and how you’ve tackled real-world problems in previous roles. Practice common data science interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you. Tailor your application to highlight your passion for gaming and your experience in an Agile environment. Let’s get you that dream job together!
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 requirement, don’t hold back on showcasing your experience. Include specific projects or examples where you’ve used Python effectively, especially in an Agile environment.
Highlight Relevant Experience: If you've worked with machine learning models or have experience in gaming/esports, make it known! Tailor your application to reflect how your background fits the role we’re offering.
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 don’t miss out on any important updates from our team!
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 tackled real-world problems using data in your past roles.
✨Show Off Your Python Prowess
Since Python is a key requirement for this role, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot or discuss your experience with Python libraries relevant to data science. Practise coding challenges beforehand to boost your confidence.
✨Familiarise Yourself with Agile Methodologies
As the company operates in an Agile environment, it’s crucial to understand Agile principles. Be prepared to discuss how you've worked in Agile teams before and how you adapt to changing requirements. This will show that you can thrive in their fast-paced setting.
✨Express Your Passion for Gaming/Esports
This role is in the gaming/esports industry, so let your enthusiasm shine through! Share any personal projects or experiences related to gaming or esports. This will help you connect with the team and demonstrate that you're not just a data expert, but also genuinely interested in their field.
