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For Companies At a Glance
- Tasks: Analyze large data sets and provide insightful recommendations using statistical methods.
- Company: Wheely is a dynamic company focused on excellence in transportation and office culture.
- Benefits: Enjoy flexible hours, stock options, medical insurance, and a lunch allowance.
- Why this job: Join a collaborative team with opportunities for professional growth and a vibrant office culture.
- Qualifications: Degree in relevant fields and experience with SQL, Python, and data visualization tools required.
- Other info: This role is based in West London but offers flexibility for remote work.
The predicted salary is between 36000 - 60000 £ per year.
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.
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Data Scientist employer: Wheely Ltd.
Contact Detail:
Wheely Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Make sure to showcase your experience with large data sets during the interview. Be prepared to discuss specific projects where you utilized SQL and Python to derive insights, as this will demonstrate your technical proficiency.
✨Tip Number 2
Familiarize yourself with the business intelligence tools mentioned in the job description, like Looker or Metabase. If you can, try to create a sample dashboard or visualization to bring to the interview, showing your hands-on experience.
✨Tip Number 3
Highlight any leadership experience you have in experimental initiatives. Be ready to discuss how you designed experiments, the statistical methods you used, and the recommendations you provided based on your findings.
✨Tip Number 4
Brush up on your knowledge of supervised machine learning frameworks. Be prepared to explain concepts like Linear Regression, Decision Trees, and Gradient Boosting, and how you've applied them in real-world scenarios.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in analyzing large data sets and any specific projects where you utilized SQL and Python. This will show that you meet the core requirements of the role.
Showcase Your Skills: Clearly outline your programming skills and familiarity with business intelligence tools like Looker or Metabase. Include examples of how you've used data visualization techniques in past projects.
Detail Experimental Initiatives: If you have experience leading experimental initiatives, describe these in detail. Explain the statistical methods you used, the design of the experiments, and the insights you provided based on your analysis.
Tailor Your Application: Customize your CV and cover letter to reflect the specific requirements mentioned in the job description. Use keywords from the listing to ensure your application stands out to recruiters.
How to prepare for a job interview at Wheely Ltd.
✨Showcase Your Analytical Skills
Be prepared to discuss your experience with analyzing large data sets. Bring specific examples of projects where you utilized SQL and Python to derive insights, and be ready to explain your thought process.
✨Demonstrate Your Programming Proficiency
Since strong programming skills in Python are essential, consider preparing a small coding challenge or discussing a project where you implemented complex algorithms. This will help illustrate your technical capabilities.
✨Familiarize Yourself with BI Tools
Make sure you understand the business intelligence tools mentioned in the job description, like Looker or Metabase. Be ready to discuss how you've used these tools for data visualization and reporting in past roles.
✨Discuss Experimental Initiatives
Prepare to talk about any experience you have leading experimental initiatives. Highlight your knowledge of statistical methods and how you've designed and analyzed experiments to provide actionable recommendations.
