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For Companies At a Glance
- Tasks: Drive growth and enhance customer experience through data insights and predictive models.
- Company: Fast-growing online marketplace in Greater London with a dynamic team.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional development.
- Why this job: Make impactful changes while collaborating with diverse teams in a thriving environment.
- Qualifications: 2+ years in data science, proficient in Python and SQL, strong machine learning skills.
- Other info: Join a close-knit team focused on innovation and growth.
The predicted salary is between 43200 - 72000 £ per year.
A fast-growing online marketplace in Greater London is seeking a Data Scientist to drive growth and improve customer experience. The ideal candidate will work closely with Product, Marketing, and Seller teams to turn data into actionable insights, build predictive models, and influence commercial decisions.
The role requires:
- At least 2 years of experience in data science
- Excellent skills in Python and SQL
- A strong understanding of machine learning and statistical analysis
Join us in making impactful changes as part of a close-knit team.
Growth-Focused Data Scientist – E-commerce & Equity employer: OnBuy
Contact Detail:
OnBuy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Growth-Focused Data Scientist – E-commerce & Equity
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 data science projects, especially those that highlight your experience with Python, SQL, and machine learning. This will give you an edge and demonstrate your capabilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key when working with Product, Marketing, and Seller teams.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications from passionate candidates who want to make an impact. Tailor your application to highlight how you can drive growth and improve customer experience.
We think you need these skills to ace Growth-Focused Data Scientist – E-commerce & Equity
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about e-commerce and how you can drive growth through data. We love seeing enthusiasm and a clear understanding of our mission.
Showcase Your Analytical Skills: In your application, include examples of how you've turned data into actionable insights in previous roles. We’re looking for someone who can influence decisions, so share specific outcomes from your work!
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at OnBuy
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with machine learning and statistical analysis, as these are crucial for the role. Prepare to share specific examples of how you've used data to drive growth or improve customer experiences in past projects.
✨Understand the Business
Research the company’s marketplace and its competitors. Understand their business model and how data science can impact their growth. This will help you tailor your answers to show how you can contribute to their goals and make a real difference in their operations.
✨Prepare for Practical Tests
You might be asked to solve a data-related problem during the interview. Practice coding challenges and data analysis scenarios beforehand. Familiarise yourself with common data science problems and think about how you would approach them, as this will demonstrate your problem-solving skills.
✨Show Your Team Spirit
Since the role involves working closely with Product, Marketing, and Seller teams, be prepared to discuss your experience collaborating with others. Share examples of how you’ve worked in a team to turn insights into actionable strategies, highlighting your communication skills and ability to influence decisions.
