At Wheely, we're a luxury brand on the outside, but a technology company on the inside, building the world's first Luxury-as-a-Service. We believe that time is the ultimate luxury and that modern engineering and design, combined with the industry’s highest standards of service, can unlock an unparalleled experience for our customers. From on-demand chauffeuring, concierge service, to our best-in-class app, we exist to help our clients reclaim their time by connecting them to the places and people that matter.

More than 40% of our team works in product & engineering, and both Wheely founders are technical. We are also unapologetically design centric. It’s not about A/B testing one hundred shades of blue, but crafting the perfect shade. We also take a privacy-first approach and believe 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 put 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.

As a Data Scientist in the Growth team, you will create models for traffic attribution and conduct experiments to improve crucial growth metrics, such as installs, sign-ups, and initial trips. You will also generate hypotheses and assist product teams in analysing opportunities, including growth and other use cases like flight tracking and concierge.

What you will be doing

  • Designing and analysing experiments influencing the onboarding funnel and driving referral activations
  • Creating models for traffic attribution and influencing decision-making on marketing investments
  • Measuring the quality of our experiences and exploring growth opportunities across different markets and user segments


  • Bachelor degree in Mathematics, Economics, Computer Science, or Statistics
  • A minimum of one year experience in analysing large data sets
  • Proficiency in SQL, along with a solid understanding of Python for data analysis purposes
  • Competence in at least one business intelligence tool such as Looker or Metabase, and a strong grasp of data visualisation techniques
  • Proven track record 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.

  • Competitive salary
  • Employee stock options plan
  • Relocation allowance
  • Lunch allowance
  • Medical insurance, including dental
  • Best-in-class equipment
  • Professional development subsidies
  • 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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