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- Tasks: Lead pricing strategies and experimentation initiatives in a dynamic ecommerce marketplace.
- Company: Fast-growing global ecommerce marketplace with a focus on data-driven decisions.
- Benefits: Competitive salary, mentorship opportunities, and a chance to influence major strategies.
- Why this job: Make a real impact in a data-centric environment while mentoring fellow data scientists.
- Qualifications: Experience in data science, strong Python and SQL skills, and expertise in statistical modelling.
The predicted salary is between 48000 - 72000 £ per year.
A fast-growing global ecommerce marketplace is seeking a Principal Data Scientist to join their data function. In this senior role, you will lead complex pricing and experimentation initiatives, mentor fellow data scientists, and influence pricing strategies at scale.
Applicants should possess:
- Commercial experience applying data science in production
- Strong skills in Python and SQL
- Expertise in statistical modelling
This is an excellent opportunity to drive meaningful impact in a data-centric environment.
Principal Data Scientist, Pricing & Experimentation in London employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist, Pricing & Experimentation in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those related to pricing and experimentation. This will help us demonstrate your expertise in Python, SQL, and statistical modelling.
✨Tip Number 3
Ace the interview! Research common data science interview questions and practice your answers. We want to see how you think through problems, so be ready to discuss your approach to real-world scenarios.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Principal Data Scientist, Pricing & Experimentation in London
Some tips for your application 🫡
Showcase Your Experience: When applying, make sure to highlight your commercial experience in data science. We want to see how you've applied your skills in real-world scenarios, especially in pricing and experimentation.
Be Specific About Your Skills: Don’t just list your skills; demonstrate them! Use examples to show off your expertise in Python, SQL, and statistical modelling. This helps us understand how you can contribute to our team.
Tailor Your Application: Make your application stand out by tailoring it to the role. Mention specific projects or experiences that relate to pricing strategies and data-driven decision-making. We love seeing a personalised touch!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team.
How to prepare for a job interview at Burns Sheehan
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in statistical modelling. Be ready to discuss how you've applied these skills in real-world scenarios, particularly in pricing and experimentation. We recommend preparing a couple of case studies from your past work that showcase your expertise.
✨Show Off Your Python and SQL Skills
Since strong skills in Python and SQL are crucial for this role, be prepared to demonstrate your proficiency. You might be asked to solve a problem on the spot or explain your thought process behind a coding challenge. Practising common data manipulation tasks in both languages can really help us stand out.
✨Prepare to Mentor
As a Principal Data Scientist, mentoring is part of the gig. Think about your past experiences mentoring others and be ready to share specific examples. We suggest framing your answers around how you’ve helped others grow their skills and how you approach teaching complex concepts.
✨Understand the Business Impact
This role is all about influencing pricing strategies at scale, so it’s vital to understand the business side of things. Research the company’s market position and think about how data science can drive their pricing initiatives. We recommend preparing some insights or suggestions that could add value to their current strategies.