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- Tasks: Develop and enhance machine learning products for book recommendations and pricing strategies.
- Company: Leading publishing house with a focus on innovation and technology.
- Benefits: Competitive salary, comprehensive benefits, and remote work flexibility.
- Why this job: Join a pivotal role in optimising recommendations using rich datasets.
- Qualifications: Master's degree and proficiency in Python, ML frameworks, and SQL required.
- Other info: Exciting opportunity to work in a dynamic and impactful environment.
The predicted salary is between 78000 - 110000 £ per year.
A leading publishing house is seeking Machine Learning Scientists to develop and enhance machine learning products. The role emphasizes the full ML lifecycle—from problem framing to production implementation.
Candidates should have a Master's degree and proficiency in Python, ML frameworks, and SQL. This position is pivotal in leveraging rich datasets to optimize book recommendations and pricing strategies.
The salary ranges from $130,000 to $175,000, with comprehensive benefits offered.
ML Scientist: Pricing & Personalization (Remote) in London employer: Knopf Doubleday Group
Contact Detail:
Knopf Doubleday Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Scientist: Pricing & Personalization (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend virtual meetups, and connect with other ML enthusiasts. 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 pricing and personalisation. Use GitHub or a personal website to highlight your work with Python and ML frameworks—this will make you stand out!
✨Tip Number 3
Prepare for interviews by brushing up on the full ML lifecycle. Be ready to discuss how you've tackled problems from framing to production implementation. Practise explaining your thought process clearly; it’s all about demonstrating your expertise!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented ML Scientists like you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace ML Scientist: Pricing & Personalization (Remote) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, ML frameworks, and SQL in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing how your background aligns with our needs, especially in the context of pricing and personalisation in machine learning.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Knopf Doubleday Group
✨Know Your ML Lifecycle
Make sure you can confidently discuss the full machine learning lifecycle. Be prepared to explain how you've framed problems, developed models, and implemented them in production. This will show your understanding of the role's requirements.
✨Showcase Your Technical Skills
Brush up on your Python, ML frameworks, and SQL skills. Be ready to answer technical questions or even solve coding challenges during the interview. Demonstrating your proficiency will set you apart from other candidates.
✨Understand the Business Context
Familiarise yourself with how machine learning can optimise book recommendations and pricing strategies. Research the publishing house and think about how your skills can directly impact their business goals. This shows you're not just a techie but also understand the bigger picture.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready for your interviewers. Ask about their current ML projects, team dynamics, or future goals. This not only demonstrates your interest in the role but also helps you gauge if the company is the right fit for you.
