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- Tasks: Lead advanced pricing projects using data science and experimentation.
- Company: A top online bookstore in the UK with a focus on inclusivity.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact on pricing strategies while tackling planet-positive challenges.
- Qualifications: Expertise in Python, SQL, and experience in commercial data science.
- Other info: Join a dynamic team dedicated to meaningful work and innovation.
The predicted salary is between 54000 - 84000 £ per year.
A leading online bookstore in the UK is seeking a Principal Data Scientist to tackle complex pricing problems through advanced modelling and experimentation. This senior individual contributor role will involve hands-on technical leadership, leading projects such as pricing optimisation and A/B testing.
The ideal candidate will have deep experience in commercial data science environments, proficient in Python and SQL, and have the ability to communicate effectively with senior stakeholders.
Join an inclusive culture committed to meaningful, planet-positive challenges.
Principal Data Scientist - Pricing & ML Leadership employer: World of Books
Contact Detail:
World of Books Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist - Pricing & ML Leadership
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Principal Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving pricing optimisation and A/B testing. We want to see your hands-on experience in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. We recommend practising coding challenges in Python and SQL, as well as being ready to discuss your past projects in detail. Confidence is key when communicating with senior stakeholders!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s tackle those complex pricing problems together!
We think you need these skills to ace Principal Data Scientist - Pricing & ML Leadership
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've tackled complex data problems before, so don’t hold back on those examples!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects related to pricing optimisation and A/B testing that you've worked on. It helps us see how you fit into our team!
Communicate Clearly: Since you'll be working with senior stakeholders, it's crucial to demonstrate your communication skills. Use clear, concise language in your application to show us you can convey complex ideas effectively.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at World of Books
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your past projects, especially those involving pricing optimisation and A/B testing. They’ll want to see how you’ve tackled complex problems in a commercial setting.
✨Showcase Your Leadership Skills
As a Principal Data Scientist, you'll need to demonstrate your ability to lead projects and teams. Prepare examples of how you've taken charge in previous roles, particularly in technical leadership. Highlight any mentoring or coaching experiences you've had with junior data scientists.
✨Communicate Like a Pro
Since you'll be interacting with senior stakeholders, practice explaining complex data science concepts in simple terms. Think about how you can convey your ideas clearly and effectively, ensuring that non-technical team members understand your insights and recommendations.
✨Align with Their Values
Research the company’s commitment to inclusivity and planet-positive challenges. Be prepared to discuss how your values align with theirs and share any relevant experiences that showcase your dedication to meaningful work. This will help you stand out as a candidate who fits their culture.
