Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyze large data sets and provide insightful recommendations to enhance our services.
- Company: Wheely is revolutionizing high-end transportation with a focus on excellence and customer experience.
- Benefits: Enjoy flexible hours, stock options, medical insurance, and a lunch allowance.
- Why this job: Join a leading brand in a dynamic environment with opportunities for professional growth.
- Qualifications: Degree in relevant fields and proficiency in SQL, Python, and data visualization tools required.
- Other info: This role is office-based in West London but offers flexibility for remote work.
The predicted salary is between 36000 - 60000 £ per year.
At Wheely, we are building the future of high-end transportation. We’re pioneering a new standard of excellence and crafting unparalleled brand, product and service experiences for discerning individuals who prioritize time and perfection above all else. Join us as we scale Wheely from London, Dubai and Paris to dozens of markets around the world in the coming years. With over 3000 chauffeur partners and hundreds of thousands of customers, we are fortunate to be the leading brand in all the markets we operate in.
Requirements
- Degree in Mathematics, Economics, Computer Science, or Statistics
- Experience in analysing large data sets
- Proficiency in SQL
- Strong programming skills in Python
- Competence in at least one business intelligence tool such as Looker or Metabase, and a strong grasp of data visualisation techniques
- Experience in leading experimental initiatives, use of statistical methods, design and analysis of experiments, and providing insightful recommendations
- Familiarity with supervised machine learning frameworks, including but not limited to, Linear Regression, Decision Trees, and Gradient Boosting
What we offer
Wheely expects the very best from our people, both on the road and in the office. In return, employees enjoy flexible working hours, stock options and an exceptional range of perks and benefits.
- Office-based role located in West London
- Competitive salary & equity package
- Medical insurance, including dental
- Life and critical illness insurance
- Monthly credit for Wheely journeys
- Lunch allowance
- Professional development subsidies
- Cycle to work scheme
- Top-notch equipment
- Relocation allowance (dependent on role level)
- Wheely has an in-person culture but allows flexible working hours and work from home when needed.
Wheely is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
All of your personal information will be collected stored and processed in accordance with Wheely’s Candidate Privacy Notice.
#J-18808-Ljbffr
Data Scientist employer: Wheely
Contact Detail:
Wheely Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific data tools and programming languages mentioned in the job description, especially SQL and Python. Consider working on personal projects or contributing to open-source projects that showcase your skills in these areas.
✨Tip Number 2
Highlight any experience you have with business intelligence tools like Looker or Metabase. If you haven't used them yet, try to get hands-on experience through online tutorials or courses to demonstrate your willingness to learn.
✨Tip Number 3
Prepare to discuss your experience with experimental initiatives and statistical methods during the interview. Think of specific examples where you've applied these techniques to solve real-world problems.
✨Tip Number 4
Research Wheely's brand and values to understand their commitment to excellence and customer service. Be ready to articulate how your personal values align with theirs and how you can contribute to their mission.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Company: Familiarize yourself with Wheely's mission and values. Highlight how your skills and experiences align with their commitment to excellence in high-end transportation.
Tailor Your CV: Customize your CV to emphasize your experience with large data sets, SQL proficiency, and programming skills in Python. Make sure to include any relevant projects or achievements that showcase your analytical capabilities.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for Wheely's vision. Mention specific tools and methodologies you are familiar with, such as business intelligence tools and machine learning frameworks.
Highlight Relevant Experience: In your application, focus on your experience leading experimental initiatives and using statistical methods. Provide examples of how you've used data visualization techniques to drive insights and recommendations.
How to prepare for a job interview at Wheely
✨Showcase Your Data Skills
Be prepared to discuss your experience with large data sets and how you've used SQL and Python in past projects. Highlight specific examples where your analysis led to actionable insights.
✨Demonstrate Business Intelligence Proficiency
Familiarize yourself with the business intelligence tools mentioned in the job description, like Looker or Metabase. Be ready to explain how you've utilized these tools for data visualization and reporting in previous roles.
✨Discuss Experimental Initiatives
Wheely values innovative thinking. Prepare to talk about any experimental initiatives you've led, including the statistical methods you employed and the outcomes of those experiments.
✨Understand Machine Learning Frameworks
Brush up on supervised machine learning frameworks such as Linear Regression, Decision Trees, and Gradient Boosting. Be ready to discuss how you've applied these techniques in real-world scenarios.
