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.
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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
