Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse customer data to drive smarter decisions and support a major transformation project.
- Company: Join a forward-thinking company transforming into a tech-first, customer-led business model.
- Benefits: Enjoy fully remote work, flexible hours, 25 days holiday, and direct access to decision-makers.
- Other info: This role offers a unique chance to influence strategic decisions in a high-impact environment.
- Why this job: Be part of an exciting journey that shapes the future of a traditional industry through technology.
- Qualifications: A numerical or analytical degree, SQL knowledge, and a willingness to learn Python and data visualisation tools.
The predicted salary is between 28000 - 42000 £ per year.
Here at Burns Sheehan, we’re working with a fast-growing global ecommerce marketplace on the hire of a Principal Data Scientist to join their expanding data function.
The business operates at significant scale across international markets and is continuing to invest heavily in data science as a core capability. Pricing sits at the centre of their commercial strategy, and this role will focus on applying advanced modelling and experimentation to improve how millions of products are priced and sold.
This is a Senior IC rolewithin a growing data science team. You’ll work closely with the Data Science Manager, engineers and commercial stakeholders to solve complex pricing problems and help shape best practices across modelling, experimentation and production deployment.
What You’ll Be Doing:
- Leading complex pricing and experimentation initiatives and building / deploying statistical and machine learning models
- Designing and analysing A/B tests, bandits and other experimentation approaches
- Partnering with engineering to ensure models are production-ready and reliable
- Mentoring other data scientists and contributing to best practices across modelling and experimentation
- Helping identify further opportunities where data science can drive value across the business
What They’re Looking For:
- Strong commercial experience applying data science in production environments
- Experience within ecommerce, marketplaces, pricing or similar data-heavy domains
- Expert Python and strong SQL
- Deep knowledge of statistical modelling and machine learning
- Strong experience designing and analysing experiments in real-world environments
- Experience deploying and monitoring models in production
- Comfortable influencing stakeholders and working through complex problems
This role offers the opportunity to work on complex marketplace challenges, influence pricing strategy at scale and help shape how data science is applied across the business.
If you’re interested, apply now or get in touch for a confidential chat.
#J-18808-Ljbffr
Data Scientist employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the company's transformation goals. Understanding their shift from legacy operations to a tech-first model will help you align your skills and experiences with their vision during discussions.
✨Tip Number 2
Brush up on your SQL and Python skills. Since these are crucial for the role, being able to demonstrate your proficiency in data extraction and analysis will set you apart from other candidates.
✨Tip Number 3
Prepare to discuss how you've used data to drive business decisions in the past. Be ready to share specific examples of how your insights have influenced marketing strategies or customer retention efforts.
✨Tip Number 4
Showcase your curiosity and analytical mindset. During interviews, ask insightful questions about their current data practices and express your eagerness to explore trends that can enhance their customer experience.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Scientist role. Emphasise your analytical abilities, programming knowledge, and any experience with data visualisation tools.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the company's transformation goals. Mention specific projects or experiences that demonstrate your ability to contribute to their customer retention and growth initiatives.
Showcase Technical Skills: Clearly outline your proficiency in SQL and any experience with Python. If you have worked with data visualisation tools like Power BI or Tableau, be sure to include examples of how you've used them to drive insights.
Demonstrate Curiosity and Problem-Solving: In your application, highlight instances where you've asked insightful questions or explored data trends. This will show your natural curiosity and ability to translate data into actionable business ideas, which is crucial for this role.
How to prepare for a job interview at Burns Sheehan
✨Showcase Your Analytical Skills
As a Data Scientist, your analytical prowess is key. Be prepared to discuss specific projects where you've analysed data, highlighting the tools and techniques you used, such as SQL or Python. This will demonstrate your technical skills and problem-solving abilities.
✨Demonstrate Curiosity
The company values a curious mindset. During the interview, ask insightful questions about their data practices and how they leverage customer insights. This shows that you're not just interested in the role but also in contributing to their transformation journey.
✨Prepare for Technical Questions
Expect technical questions related to data extraction, analysis, and visualisation. Brush up on SQL queries and be ready to explain your approach to data cleaning and validation. Familiarity with tools like Power BI or Tableau can also give you an edge.
✨Communicate Clearly
Being able to translate complex data insights into actionable business ideas is crucial. Practice explaining your past projects in simple terms, focusing on the impact of your findings. This will showcase your ability to communicate effectively with non-technical stakeholders.