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- Tasks: Design and deploy ML models to enhance gaming experiences using Snowflake.
- Company: Join a leading gaming technology company in Greater London.
- Benefits: Enjoy a hybrid work model, competitive salary, and growth opportunities.
- Why this job: Be part of an innovative team shaping the future of gaming with AI.
- Qualifications: Proficiency in Python, SQL, and CI/CD processes required.
- Other info: Collaborative environment that fosters creativity and excellence in game design.
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 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
✨Tip Number 1
Network like a pro! Reach out to current employees at the gaming tech company on LinkedIn. A friendly chat can give us insights into the company culture and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your ML models and projects using Python and SQL. This will help us demonstrate our expertise and creativity during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data science interview questions and coding challenges. We can even set up mock interviews with friends or use online platforms to sharpen our skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how our skills align with the role in AI & MLOps.
We think you need these skills to ace Data Scientist, AI & MLOps - Hybrid, Snowflake Cloud
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and CI/CD processes. We want to see how your skills align with the role of Data Scientist, AI & MLOps, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about joining our innovative team and how you can contribute to enhancing player experiences. Keep it engaging and personal!
Showcase Your Analytical Skills: In your application, give examples of how you've used your analytical skills in past roles. We love seeing real-world applications of your expertise, especially in gaming technology or similar fields.
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 Greater London!
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.
✨Showcase Your Analytical Skills
Prepare to share specific examples of how you've tackled complex data problems. Think about times when your analytical skills made a significant impact on a project or improved player experiences.
✨Understand the Company Culture
Research the gaming technology company and its values. Be prepared to discuss how your personal values align with their focus on collaboration, innovation, and excellence in game design.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects involving Snowflake and how they envision the Data Scientist's contribution to enhancing player experiences.