Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform large datasets into actionable insights and create models for gaming recommendations.
- Company: Exciting gaming company focused on innovation and personalisation.
- Benefits: Remote work, 4-day workweek, gaming allowances, and private healthcare.
- Other info: Flexible work environment with opportunities for growth in the gaming industry.
- Why this job: Join a passionate team and shape the future of gaming with your data skills.
- Qualifications: Strong Python and ML framework experience, plus a love for gaming.
The predicted salary is between 45000 - 60000 £ per year.
A gaming company is seeking a Data Scientist to join their team and build the intelligence layer on their data platform. This role involves turning large datasets into actionable intelligence and creating models for mod classification and recommendations.
Strong experience in Python and ML frameworks is required, along with a passion for gaming.
The position offers remote work within the UK, a 4-day workweek, and additional benefits such as gaming allowances and private healthcare.
ML Data Scientist (Remote UK) — Personalisation & Discovery employer: Black Tree Gaming Limited
Contact Detail:
Black Tree Gaming Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Data Scientist (Remote UK) — Personalisation & Discovery
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming industry on LinkedIn or join relevant forums. We can’t stress enough how a personal connection can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and ML frameworks. We love seeing real-world applications of your expertise!
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and gaming trends. We want to see your passion for gaming shine through, so be ready to discuss your favourite games and how data science plays a role in them.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who are eager to join our gaming family.
We think you need these skills to ace ML Data Scientist (Remote UK) — Personalisation & Discovery
Some tips for your application 🫡
Show Your Passion for Gaming: When you're writing your application, let your love for gaming shine through! Mention any relevant experiences or projects that showcase how you've combined your data science skills with your passion for games.
Highlight Your Technical Skills: Make sure to emphasise your experience with Python and ML frameworks. We want to see how you've used these tools in real-world scenarios, so don’t hold back on the details!
Tailor Your Application: Don’t just send a generic application. Take the time to tailor your CV and cover letter to this specific role. Show us how your skills and experiences align with what we’re looking for in a Data Scientist.
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!
How to prepare for a job interview at Black Tree Gaming Limited
✨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 models.
✨Show Your Passion for Gaming
Since this role is in a gaming company, it’s crucial to express your enthusiasm for gaming. Share your favourite games and how they inspire your work in data science. This will help you connect with the interviewers on a personal level.
✨Prepare for Technical Questions
Expect technical questions related to machine learning frameworks and data manipulation. Practice explaining your thought process when building models or handling large datasets, as this will demonstrate your analytical skills and problem-solving abilities.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, the team dynamics, or how they measure success in their data initiatives. This shows you’re genuinely interested in contributing to their goals.