At a Glance
- Tasks: Design, build, and deploy machine learning models in a Snowflake environment.
- Company: Push Gaming, a leading gaming company in the UK.
- Benefits: Hybrid working environment and opportunities for professional growth.
- Other info: Exciting role with a focus on innovation and collaboration.
- Why this job: Join a dynamic team to enhance game design and player engagement with AI.
- Qualifications: Experience in data science, CI/CD processes, and data pipeline development.
The predicted salary is between 45000 - 60000 € per year.
Push Gaming in the United Kingdom is seeking a mid-level Data Scientist specializing in AI & MLOps. In this role, you will design, build, and deploy machine learning models within a Snowflake environment, collaborating with various teams to drive improvements in game design and player engagement.
The ideal candidate has experience with CI/CD processes and data pipeline development, and a background in data science or statistics. The position offers a hybrid working environment and opportunities for professional growth.
AI & MLOps Data Scientist — Production ML (Snowflake) in London employer: Push Gaming
Push Gaming is an exceptional employer that fosters a dynamic and innovative work culture, where creativity meets technology in the heart of the UK. With a strong emphasis on professional development, employees are encouraged to grow their skills in a supportive hybrid environment, making it an ideal place for those passionate about AI and MLOps. The collaborative atmosphere not only enhances game design but also ensures that every team member's contributions are valued and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land AI & MLOps Data Scientist — Production ML (Snowflake) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and data science communities. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning models and projects, especially those related to game design or player engagement. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your CI/CD processes and data pipeline development. We recommend practising common interview questions and even doing mock interviews with friends. The more prepared you are, the more confident you’ll feel!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to apply directly. Don’t forget to tailor your application to highlight your experience with Snowflake and MLOps!
We think you need these skills to ace AI & MLOps Data Scientist — Production ML (Snowflake) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI, MLOps, and Snowflake. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team at Push Gaming. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:Don’t forget to mention your experience with CI/CD processes and data pipeline development. We’re looking for someone who can hit the ground running, so highlight any specific tools or technologies you’ve worked with.
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 – just a few clicks and you’re done!
How to prepare for a job interview at Push Gaming
✨Know Your Snowflake
Make sure you brush up on your knowledge of Snowflake and how it integrates with machine learning. Be ready to discuss your experience with data pipeline development and how you've used Snowflake in past projects.
✨Showcase Your CI/CD Skills
Since the role involves CI/CD processes, prepare examples of how you've implemented these in previous roles. Discuss any tools you've used and how they improved your workflow or project outcomes.
✨Collaborate Like a Pro
This position requires collaboration with various teams, so be prepared to share experiences where teamwork led to successful project outcomes. Highlight your communication skills and how you adapt to different team dynamics.
✨Engage with Game Design Insights
As the role focuses on improving game design and player engagement, think about how your data science skills can contribute to this. Prepare to discuss any relevant projects or ideas that could enhance player experiences through data-driven insights.
