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- Tasks: Lead data engineering and AI initiatives in a dynamic gaming studio.
- Company: Exciting gaming development studio in the UK with a focus on innovation.
- Benefits: Hybrid work model, supportive environment, and opportunities for professional growth.
- Why this job: Join a high-performing team and shape the future of gaming with data.
- Qualifications: PhD in a quantitative field and experience in data engineering and machine learning.
The predicted salary is between 48000 - 72000 £ per year.
A gaming development studio in the UK is seeking an Analytics Manager to lead their data engineering and AI initiatives. The role involves managing a high-performing team, designing data platforms, and optimizing Snowflake environments.
Ideal candidates should possess a PhD in a quantitative field and have extensive experience with data engineering, machine learning, and Power BI. This position offers a hybrid work model and a supportive environment for professional growth.
AI Analytics Architect: Data Engineering & ML in London employer: Push Gaming Ltd
Contact Detail:
Push Gaming Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Analytics Architect: Data Engineering & ML in London
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and analytics space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects and machine learning models. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Snowflake and Power BI, as well as any challenges you've faced in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right role and connect with us directly. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace AI Analytics Architect: Data Engineering & ML in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD and any relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and analytics. We love seeing candidates who can connect their personal experiences to our mission at StudySmarter.
Showcase Your Team Leadership Skills: Since this role involves managing a high-performing team, make sure to highlight any leadership experience you have. We’re looking for someone who can inspire and guide others, so share examples of how you've done this in the past!
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 Push Gaming Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in data engineering concepts and machine learning techniques. Brush up on your knowledge of Snowflake environments and Power BI, as these will likely come up during the interview. Being able to discuss specific projects or experiences where you've applied these skills will really impress them.
✨Showcase Your Leadership Skills
Since this role involves managing a high-performing team, be prepared to talk about your leadership style and experiences. Think of examples where you’ve successfully led a team, resolved conflicts, or driven a project to completion. This will demonstrate that you can not only manage data but also people.
✨Prepare for Technical Questions
Expect some technical questions related to data platforms and analytics. Practice explaining complex concepts in simple terms, as you may need to communicate with non-technical stakeholders. Consider doing mock interviews with friends or colleagues to get comfortable with articulating your thought process.
✨Emphasise Your Growth Mindset
This position offers a supportive environment for professional growth, so highlight your willingness to learn and adapt. Share examples of how you’ve pursued continuous learning in your field, whether through courses, certifications, or self-study. This shows that you’re not just looking for a job, but a place to grow your career.
