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- Tasks: Design and deploy ML models to enhance gaming experiences using Snowflake.
- Company: Innovative gaming technology company in Greater London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment that fosters innovation and excellence.
- Why this job: Join a creative team and shape the future of gaming with AI.
- Qualifications: Proficiency in Python, SQL, CI/CD processes, and strong analytical skills.
The predicted salary is between 36000 - 60000 £ per year.
A gaming technology company is looking for a mid-level Data Scientist, AI & MLOps to join their innovative team in Greater London. This hybrid role involves designing and deploying ML models using Snowflake, collaborating closely with various teams to enhance player experiences.
Candidates should have expertise in Python, SQL, and CI/CD processes, coupled with strong analytical skills. Join a forward-thinking environment that values collaboration, innovation, and excellence in game design.
Data Scientist, AI & MLOps - Hybrid, Snowflake Cloud in London employer: Push Gaming
Contact Detail:
Push Gaming Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, AI & MLOps - Hybrid, Snowflake Cloud in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the gaming tech company on LinkedIn. A friendly message can go a long way in getting your foot in the door and showing your genuine interest in the role.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python, SQL, and CI/CD processes. We recommend doing some mock interviews with friends or using online platforms to get comfortable discussing your skills and experiences.
✨Tip Number 3
Showcase your projects! If you've worked on any ML models or data science projects, make sure to have them ready to discuss. We love seeing real-world applications of your skills, especially if they relate to enhancing player experiences.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining our innovative team and contributing to the exciting world of gaming technology.
We think you need these skills to ace Data Scientist, AI & MLOps - Hybrid, Snowflake Cloud in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python, SQL, and CI/CD processes in your application. We want to see how your skills can enhance our gaming technology!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect how your experience aligns with the role of Data Scientist, AI & MLOps. We love seeing candidates who understand our needs.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication that showcases your analytical skills without unnecessary fluff.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to review your application and get back to you!
How to prepare for a job interview at Push Gaming
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to ML models and CI/CD processes. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Analytical Skills
Prepare to share specific examples of how you've tackled complex data problems in the past. Think about the challenges you faced, the methods you used, and the outcomes. This will demonstrate your analytical prowess and problem-solving abilities, which are crucial for a Data Scientist role.
✨Understand the Gaming Industry
Familiarise yourself with the gaming technology landscape and how data science plays a role in enhancing player experiences. Being able to discuss current trends or innovations in the industry will show your genuine interest and help you connect with the interviewers.
✨Emphasise Collaboration
Since this role involves working closely with various teams, be prepared to talk about your experience in collaborative environments. Share examples of how you’ve worked with cross-functional teams to achieve common goals, highlighting your communication skills and teamwork.