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- Tasks: Lead the technical strategy for ML systems and tackle complex challenges in personalisation.
- Company: A top media tech company in the UK with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of machine learning and make a significant impact in the industry.
- Qualifications: Proven expertise in machine learning design and architecture.
- Other info: Join a dynamic team dedicated to pushing the boundaries of technology.
The predicted salary is between 43200 - 72000 £ per year.
A leading media technology company in the United Kingdom is seeking a principal-level individual contributor with significant responsibility for technical strategy, standards, and architecture across recommendation and personalization systems. The role involves influencing long-term machine learning roadmaps and platform decisions while tackling complex ML challenges. Ideal candidates will demonstrate expertise in machine learning design and best practices.
Principal Data Scientist, ML Strategy & Personalization in London employer: Christy Media Solutions
Contact Detail:
Christy Media Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist, ML Strategy & Personalization in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and personalisation strategies. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those tricky technical interviews! Brush up on your ML concepts and be ready to tackle real-world problems. Practising with mock interviews can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Principal Data Scientist, ML Strategy & Personalization in London
Some tips for your application 🫡
Showcase Your Expertise: When applying, make sure to highlight your experience in machine learning design and best practices. We want to see how you've tackled complex ML challenges in the past, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing candidates who align their skills with our needs, especially around technical strategy and architecture in recommendation systems.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary to showcase your expertise. Remember, we’re looking for someone who can communicate complex ideas effectively!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Christy Media Solutions
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially around recommendation systems and personalisation techniques. Be ready to discuss specific algorithms you've worked with and how they can be applied to real-world problems.
✨Showcase Your Strategic Thinking
Prepare to talk about your experience in influencing technical strategy and architecture. Think of examples where you’ve contributed to long-term roadmaps or made significant platform decisions, and be ready to explain your thought process.
✨Demonstrate Problem-Solving Skills
Expect to tackle complex ML challenges during the interview. Practice articulating your approach to problem-solving, including how you would break down a challenge and the methodologies you would employ to find a solution.
✨Engage with the Interviewers
Interviews are a two-way street! Prepare thoughtful questions about the company’s current ML projects and future direction. This shows your genuine interest and helps you assess if the role aligns with your career goals.
