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- Tasks: Build and enhance recommendation models for a large-scale streaming product.
- Company: Leading media technology company based in London.
- Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
- Why this job: Make a real impact on user experience through innovative data science.
- Qualifications: Experience in data science and strong collaboration skills required.
- Other info: Opportunity to mentor others and grow your career in a fast-paced industry.
The predicted salary is between 43200 - 72000 £ per year.
A leading media technology company in London is seeking a hands-on Senior Data Scientist. The role focuses on building and improving recommendation and personalization models for a large-scale streaming product.
You will be responsible for delivering models from ideation through experimentation to production, collaborating closely with engineering and product partners. A strong emphasis on execution and impact is expected, along with opportunities to mentor others.
Senior Data Scientist - Personalization & Recommendations in London employer: Christy Media Solutions
Contact Detail:
Christy Media Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Personalization & Recommendations in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous work on recommendation systems or personalisation models. We want to see your thought process and the impact of your projects.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your data science concepts and coding skills. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Scientist - Personalization & Recommendations in London
Some tips for your application 🫡
Show Your Passion for Data: 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 systems or personalisation. This will help us understand your hands-on experience and how you can contribute to our team.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Senior Data Scientist role. Highlight relevant skills and experiences that align with the job description. We want to see how your background fits into our mission of improving streaming products through data-driven insights.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it's necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential impact on our team.
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 our company culture and values while you’re at it!
How to prepare for a job interview at Christy Media Solutions
✨Know Your Models
Make sure you’re well-versed in the latest recommendation and personalisation models. Be ready to discuss your experience with different algorithms, how you've implemented them, and the impact they had on previous projects.
✨Showcase Collaboration Skills
Since this role involves working closely with engineering and product teams, prepare examples of past collaborations. Highlight how you’ve effectively communicated complex data concepts to non-technical stakeholders.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of data science principles. Brush up on your coding skills and be ready to solve problems on the spot, as practical demonstrations of your abilities can set you apart.
✨Emphasise Impact and Execution
Be prepared to discuss how your work has driven results in previous roles. Use metrics and specific examples to illustrate the impact of your models, showing that you understand the importance of execution in a fast-paced environment.
