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- Tasks: Lead the development of recommendation models for a major streaming service.
- Company: Join a leading streaming platform with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by shaping user experiences through data science.
- Qualifications: Proven experience in data science and strong collaboration skills.
- Other info: Dynamic team environment with mentorship opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A hands-on senior data science role focused on building and improving recommendation and personalisation models for a large-scale streaming product. This role owns delivery within a defined problem space — taking models from ideation through experimentation to production — while collaborating closely with engineering and product partners. There’s scope to influence approach and mentor others, but the emphasis is on execution and impact.
Lead Data Scientist in City of London employer: Christy Media Solutions
Contact Detail:
Christy Media Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the data science community, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to recommendation and personalisation models. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data science. Practice explaining your thought process when tackling problems, as this is key in demonstrating your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead Data Scientist in City of London
Some tips for your application 🫡
Show Your Passion for Data Science: When writing your application, let us see your enthusiasm for data science! Share specific examples of projects you've worked on, especially those related to recommendation and personalisation models. This will help us understand your hands-on experience and how you can contribute to our team.
Tailor Your Application: Make sure to customise your application to align with the job description. Highlight your experience in taking models from ideation to production, and mention any collaboration with engineering and product teams. This shows us that you’re not just a fit for the role, but that you really get what we’re about.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. Remember, we want to see your impact and execution skills shine through!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about StudySmarter and what we stand for.
How to prepare for a job interview at Christy Media Solutions
✨Know Your Models Inside Out
As a Lead Data Scientist, you'll need to demonstrate a deep understanding of recommendation and personalisation models. Be prepared to discuss your previous projects in detail, including the algorithms you used, the challenges you faced, and how you overcame them.
✨Showcase Your Collaboration Skills
This role involves working closely with engineering and product teams. Highlight your experience in cross-functional collaboration during the interview. Share specific examples of how you've successfully partnered with others to deliver impactful results.
✨Prepare for Technical Questions
Expect technical questions that assess your data science skills. Brush up on key concepts, statistical methods, and coding challenges relevant to the role. Practising with mock interviews can help you articulate your thought process clearly.
✨Demonstrate Your Impact
The emphasis is on execution and impact, so be ready to discuss how your work has made a difference in previous roles. Use metrics and outcomes to illustrate your contributions, showing how you've driven success through your data science initiatives.
