We are a luxury brand on the outside, but a technology company on the inside, building the world’s first luxury-as-a-service. Operating as a two sided ‘ride-hailing’ marketplace, our platform connects customers in the premium and luxury consumer and business segments with more than 3,000 chauffeur partners in London, Paris, Dubai and beyond.

Our team is our greatest asset, with more than 40% working in product and engineering roles. Both of our founders come from technical backgrounds, ensuring that innovation is at the heart of everything we do.

Our privacy-first approach ensures that where people travel, and who they travel with, is at their discretion. We have refused government requests to hand over journey data and are currently developing bespoke technology to protect our clients’ movements beyond even our own reach.

Backed by leading global investors, Wheely is poised for the next phase of our journey. Over the next 5-10 years, we plan to offer a full portfolio of luxury services and expand into more international cities, building on our success in London, Paris, and Dubai.

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