Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop deep learning models to enhance user experiences and solve complex business problems.
- Company: Join a forward-thinking company with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a significant impact on millions of users through innovative machine-learning applications.
- Qualifications: Experience in data science and a passion for machine learning.
- Other info: Collaborative environment with diverse teams driving impactful solutions.
The predicted salary is between 43200 - 72000 £ per year.
Join a forward-thinking company as a Senior Data Scientist, where you'll leverage extensive data to develop deep learning models that enhance user experiences. This role involves solving complex business problems through innovative machine-learning applications, particularly in recommendation systems. Collaborate with diverse teams to drive impactful solutions that reach millions of users worldwide. If you are passionate about machine learning and eager to make a significant difference, this opportunity is perfect for you.
Senior Data Scientist, Recommender Systems & DL Impact in City of London employer: Viber
Contact Detail:
Viber Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Recommender Systems & DL Impact in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry. A friendly chat can give you insider info and might even lead to a referral, which is always a bonus.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous projects, especially those related to deep learning and recommendation systems. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your technical skills and be ready for coding challenges or case studies. We recommend simulating interview scenarios with friends or using online platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Data Scientist, Recommender Systems & DL Impact in City of London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data science and machine learning. Share specific examples of projects or experiences that highlight your skills in developing deep learning models and solving complex problems.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Senior Data Scientist role. Highlight relevant experience with recommendation systems and any collaborative projects you've worked on, as we love seeing how you can fit into our diverse teams.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your achievements and technical skills. We appreciate a well-structured application that makes it easy for us to see your qualifications at a glance.
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 shows you’re keen on joining our forward-thinking team!
How to prepare for a job interview at Viber
✨Know Your Data
Before the interview, dive deep into the types of data the company uses. Familiarise yourself with their existing recommendation systems and think about how you could enhance them using deep learning models. This shows your genuine interest and helps you stand out.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific complex business problems you've solved in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your analytical thinking and ability to apply machine learning in real-world scenarios.
✨Collaborate and Communicate
Since this role involves working with diverse teams, be ready to talk about your collaboration experiences. Share examples of how you've effectively communicated technical concepts to non-technical stakeholders. This will highlight your teamwork skills and adaptability.
✨Stay Updated on Trends
Brush up on the latest trends in machine learning and recommendation systems. Be prepared to discuss recent advancements or case studies that excite you. This not only shows your passion but also your commitment to staying at the forefront of the field.
