Employee Option Plan: Every employee at Wheely—regardless of role—receives a stock options plan to earn a stake in the company

Wheely Allowance: A monthly credit for Wheely journeys allows employees to ride in style and experience the service firsthand. (Discounted rates are also provided for additional journeys.)

Office Lunches: All employees receive either a daily allowance or fresh lunches in the office, depending on location

HealthCare: Wheely offers comprehensive health care benefits, regardless of where you work

Continuous Professional Development: Wheely offers generous training allowances, and will work out custom arrangements to financially support every employee’s professional growth

Medium

A luxury ride-hailing service which brings together professional chauffeuring of the highest standard and the convenience of all things mobile. Wheely currently operates in London, Moscow, Paris and Dubai. Our easy to use app allows to request executive journeys both on-demand or in advance. 

Technology

Wheely

Wheely sets the gold standard in ride-hailing, with professional chauffeurs expertly driving premium vehicles.

You need a degree in STEM, SQL expertise, strong Python skills, and preferably experience in Operations Research or Economics and turning algorithms into production systems.

You will define marketplace metrics, produce insights, develop prediction models, ensure scientific control, identify capability gaps, and propose new objectives/projects to enhance performance.

Science

Data

London

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. Marketplace The Marketplace team is responsible for matching passenger requests with available chauffeurs. Their areas of responsibility are pricing, dispatching/matching protocols and incentives. Their success criteria are to maximise welfare (i.e. reliability, utilisation) and to avoid a known failure mode of ride-hailing marketplaces known as the wild goose chase. Scientists in the Marketplace While there are existing capabilities, including an app with heuristic dispatch capabilities, that have aided with our success so far we now need to deepen our understanding of our marketplace and embed prediction & optimisation throughout it. We're looking for a talented Data Scientist to join to define metrics, produce insights & predictive models and ultimately introduce practices from empirical science as needed to achieve our future ambitions. This is a unique opportunity for talented, commercially and user oriented scientists to develop core marketplace capabilities in a mature and profitable company with a unique customer base and take on ride hailing. Strong preference will be given to those who have 2+ years experience in a similar role at another ride hailing company. What you'll do in the next 12 months * Define and make readily available the Wheely Marketplace metrics: Work with the Data Analysts and leadership in the Marketplace team to establish holistic metric frameworks to measure performance of initiatives from all perspectives in the marketplace (e.g. Chauffeurs, passengers and Wheely). Develop the internal self-service reporting capability for the marketplace team and Wheely leadership to track the metrics on a daily basis (e.g. batch hourly, daily but not real-time). * Produce insights and make recommendations: Segment the driver allocation and dispatch problems (e.g. Airport, rural, urban rush hour, festival days etc), establish baseline performance and work with the Marketplace team to propose 3 hypotheses to improve marketplace performance across the segments. * Establish prediction problems and develop offline models: For example, build a trip demand forecast as an input to daily driver dispatch by area and work with product teams to develop features and incentives as needed to implement it within next 3-6 months (e.g. notifications along with x pounds to drive in this area this week). * Work cross functionally to ensure scientific control in marketplace metrics: Bring your insights, models and capabilities to the Marketplace team to ensure we can make controlled improvements in any marketplace metric metric through controlled changes in other metrics (e.g. to increase utilisation by X, we increase price by Y). Work with Marketplace engineers to ensure we have a platform that enables us to develop insights and implement the predictive models as needed to power and continuously improve our Marketplace performance overtime. * Help pave the way for more scientists. Identify gaps in Science capability based on the challenges you're facing and your past experience (e.g. economists, data scientists, user researchers, operations researchers, ML engineers, etc). Work with your line manager to create a case for hiring those capabilities. * Own your role and create your own path: Connect with the team, understand the company goals (e.g. OKRs) and your role; Align with your line manager and team about how you will contribute and any critical dependencies you'll have. Based on what you've learned about Wheely and your understanding of the domain, propose 1 new OKR and/or 2-3 features/projects that ensure the impact of Science on Marketplace objectives in 2024. Requirements * Degree in the fields of Science, Technology, Engineering, or Mathematics. * Experience in Operations Research or Economics is a plus. * Preferably experience of turning algorithms into production systems. * Proficiency in SQL. * Strong programming skills in Python or similar language. 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

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.MarketplaceThe Marketplace team is responsible for matching passenger requests with available chauffeurs. Their areas of responsibility are pricing, dispatching/matching protocols and incentives. Their success criteria are to maximise welfare (i.e. reliability, utilisation) and to avoid a known failure mode of ride-hailing marketplaces known as the wild goose chase.Scientists in the MarketplaceWhile there are existing capabilities, including an app with heuristic dispatch capabilities, that have aided with our success so far we now need to deepen our understanding of our marketplace and embed prediction & optimisation throughout it. We're looking for a talented Data Scientist to join to define metrics, produce insights & predictive models and ultimately introduce practices from empirical science as needed to achieve our future ambitions.This is a unique opportunity for talented, commercially and user oriented scientists to develop core marketplace capabilities in a mature and profitable company with a unique customer base and take on ride hailing.Strong preference will be given to those who have 2+ years experience in a similar role at another ride hailing company.What you'll do in the next 12 months * Define and make readily available the Wheely Marketplace metrics: Work with the Data Analysts and leadership in the Marketplace team to establish holistic metric frameworks to measure performance of initiatives from all perspectives in the marketplace (e.g. Chauffeurs, passengers and Wheely). Develop the internal self-service reporting capability for the marketplace team and Wheely leadership to track the metrics on a daily basis (e.g. batch hourly, daily but not real-time). * Produce insights and make recommendations: Segment the driver allocation and dispatch problems (e.g. Airport, rural, urban rush hour, festival days etc), establish baseline performance and work with the Marketplace team to propose 3 hypotheses to improve marketplace performance across the segments. * Establish prediction problems and develop offline models: For example, build a trip demand forecast as an input to daily driver dispatch by area and work with product teams to develop features and incentives as needed to implement it within next 3-6 months (e.g. notifications along with x pounds to drive in this area this week). * Work cross functionally to ensure scientific control in marketplace metrics: Bring your insights, models and capabilities to the Marketplace team to ensure we can make controlled improvements in any marketplace metric metric through controlled changes in other metrics (e.g. to increase utilisation by X, we increase price by Y). Work with Marketplace engineers to ensure we have a platform that enables us to develop insights and implement the predictive models as needed to power and continuously improve our Marketplace performance overtime. * Help pave the way for more scientists. Identify gaps in Science capability based on the challenges you're facing and your past experience (e.g. economists, data scientists, user researchers, operations researchers, ML engineers, etc). Work with your line manager to create a case for hiring those capabilities. * Own your role and create your own path: Connect with the team, understand the company goals (e.g. OKRs) and your role; Align with your line manager and team about how you will contribute and any critical dependencies you'll have. Based on what you've learned about Wheely and your understanding of the domain, propose 1 new OKR and/or 2-3 features/projects that ensure the impact of Science on Marketplace objectives in 2024.      Requirements * Degree in the fields of Science, Technology, Engineering, or Mathematics. * Experience in Operations Research or Economics is a plus. * Preferably experience of turning algorithms into production systems. * Proficiency in SQL. * Strong programming skills in Python or similar language.      What we OfferWheely 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

Data Scientist, Marketplace - Wheely

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.&lt;br&gt;&lt;br&gt;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.&lt;br&gt;&lt;br&gt;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.&lt;br&gt;&lt;br&gt;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.&lt;br&gt;&lt;br&gt;&lt;strong&gt;Marketplace&lt;br&gt;&lt;br&gt;&lt;/strong&gt;The Marketplace team is responsible for matching passenger requests with available chauffeurs. Their areas of responsibility are pricing, dispatching/matching protocols and incentives. Their success criteria are to maximise welfare (i.e. reliability, utilisation) and to avoid a known failure mode of ride-hailing marketplaces known as the wild goose chase.&lt;br&gt;&lt;br&gt;&lt;strong&gt;Scientists in the Marketplace&lt;br&gt;&lt;br&gt;&lt;/strong&gt;While there are existing capabilities, including an app with heuristic dispatch capabilities, that have aided with our success so far we now need to deepen our understanding of our marketplace and embed prediction &amp;amp; optimisation throughout it. We're looking for a talented Data Scientist to join to define metrics, produce insights &amp;amp; predictive models and ultimately introduce practices from empirical science as needed to achieve our future ambitions.&lt;br&gt;&lt;br&gt;This is a unique opportunity for talented, commercially and user oriented scientists to develop core marketplace capabilities in a mature and profitable company with a unique customer base and take on ride hailing.&lt;br&gt;&lt;br&gt;Strong preference will be given to those who have 2+ years experience in a similar role at another ride hailing company.&lt;br&gt;&lt;br&gt;What you'll do in the next 12 months&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;Define and make readily available the Wheely Marketplace metrics: Work with the Data Analysts and leadership in the Marketplace team to establish holistic metric frameworks to measure performance of initiatives from all perspectives in the marketplace (e.g. Chauffeurs, passengers and Wheely). Develop the internal self-service reporting capability for the marketplace team and Wheely leadership to track the metrics on a daily basis (e.g. batch hourly, daily but not real-time).&lt;/li&gt;&lt;li&gt;Produce insights and make recommendations: Segment the driver allocation and dispatch problems (e.g. Airport, rural, urban rush hour, festival days etc), establish baseline performance and work with the Marketplace team to propose 3 hypotheses to improve marketplace performance across the segments. &lt;/li&gt;&lt;li&gt;Establish prediction problems and develop offline models: For example, build a trip demand forecast as an input to daily driver dispatch by area and work with product teams to develop features and incentives as needed to implement it within next 3-6 months (e.g. notifications along with x pounds to drive in this area this week). &lt;/li&gt;&lt;li&gt;Work cross functionally to ensure scientific control in marketplace metrics: Bring your insights, models and capabilities to the Marketplace team to ensure we can make controlled improvements in any marketplace metric metric through controlled changes in other metrics (e.g. to increase utilisation by X, we increase price by Y). Work with Marketplace engineers to ensure we have a platform that enables us to develop insights and implement the predictive models as needed to power and continuously improve our Marketplace performance overtime. &lt;/li&gt;&lt;li&gt;Help pave the way for more scientists. Identify gaps in Science capability based on the challenges you're facing and your past experience (e.g. economists, data scientists, user researchers, operations researchers, ML engineers, etc). Work with your line manager to create a case for hiring those capabilities.&lt;/li&gt;&lt;li&gt;Own your role and create your own path: Connect with the team, understand the company goals (e.g. OKRs) and your role; Align with your line manager and team about how you will contribute and any critical dependencies you'll have. Based on what you've learned about Wheely and your understanding of the domain, propose 1 new OKR and/or 2-3 features/projects that ensure the impact of Science on Marketplace objectives in 2024.&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Requirements&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Degree in the fields of Science, Technology, Engineering, or Mathematics.&lt;/li&gt;&lt;li&gt;Experience in Operations Research or Economics is a plus.&lt;/li&gt;&lt;li&gt;Preferably experience of turning algorithms into production systems.&lt;/li&gt;&lt;li&gt;Proficiency in SQL.&lt;/li&gt;&lt;li&gt;Strong programming skills in Python or similar language.&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;What we Offer&lt;br&gt;&lt;br&gt;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.&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;Office-based role located in West London&lt;/li&gt;&lt;li&gt;Competitive salary &amp;amp; equity package&lt;/li&gt;&lt;li&gt;Medical insurance, including dental&lt;/li&gt;&lt;li&gt;Life and critical illness insurance&lt;/li&gt;&lt;li&gt;Monthly credit for Wheely journeys &lt;/li&gt;&lt;li&gt;Lunch allowance&lt;/li&gt;&lt;li&gt;Professional development subsidies&lt;/li&gt;&lt;li&gt;Cycle to work scheme &lt;/li&gt;&lt;li&gt;Top-notch equipment&lt;/li&gt;&lt;li&gt;Relocation allowance (dependent on role level)&lt;/li&gt;&lt;li&gt;Wheely has an in-person culture but allows flexible working hours and work from home when needed.&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;Wheely is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.&lt;br&gt;&lt;br&gt;All of your personal information will be collected stored and processed in accordance with Wheely's Candidate Privacy Notice

Data Scientist, Marketplace

You should have geo tech or graph theory knowledge, experience in predictive ML or data analytics, and a relevant advanced degree. Proven deployment and impact measurement experience is essential.

You will develop models for ETA correction and traffic forecasting, collaborate with cross-functional teams, analyze system performance, and enhance metrics dashboards for map insights.

Product

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. It's very hard to find a company product without geo services involvement. From the mechanic heart of the system to the polished passenger application you will find to name a few: routing, map display, differential privacy for location data and map matching. While a lot of mapping tech comes from commercial third-party solutions, we implement a fair share of in-house ideas. And the more the business grows, the more the innovations are needed. This is where you have a great opportunity to mix your strong data science skills with your passion to deliver the seamless product experience to every part of our system. Responsibilities * Help build heuristic and machine learning models for ETA correction, next 30-second car position, traffic speed forecasting and more. * Work with a cross-functional team of engineers, designers and product managers to solve ambiguous problems and implement algorithms in production. * Research current system deficiencies and behaviour. * Create / improve metrics dashboards to understand maps situation at any given time. Requirements * Understanding of geo tech application or graph theory, practical experience is a huge plus. * Experience in predictive machine learning or simulation, data analytics. * PhD or Master's degree in computer science, statistics, or related quantitative fields is a plus. * Proven experience of deploying solutions to production and measuring the impact. 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

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.It's very hard to find a company product without geo services involvement. From the mechanic heart of the system to the polished passenger application you will find to name a few: routing, map display, differential privacy for location data and map matching. While a lot of mapping tech comes from commercial third-party solutions, we implement a fair share of in-house ideas. And the more the business grows, the more the innovations are needed. This is where you have a great opportunity to mix your strong data science skills with your passion to deliver the seamless product experience to every part of our system.Responsibilities * Help build heuristic and machine learning models for ETA correction, next 30-second car position, traffic speed forecasting and more. * Work with a cross-functional team of engineers, designers and product managers to solve ambiguous problems and implement algorithms in production. * Research current system deficiencies and behaviour. * Create / improve metrics dashboards to understand maps situation at any given time.      Requirements * Understanding of geo tech application or graph theory, practical experience is a huge plus. * Experience in predictive machine learning or simulation, data analytics. * PhD or Master's degree in computer science, statistics, or related quantitative fields is a plus. * Proven experience of deploying solutions to production and measuring the impact.      What we offerWheely 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

Data Scientist (Maps) - Wheely

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.&lt;br&gt;&lt;br&gt;More than 40% of our team works in product &amp;amp; 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.&lt;br&gt;&lt;br&gt;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.&lt;br&gt;&lt;br&gt;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.&lt;br&gt;&lt;br&gt;It's very hard to find a company product without geo services involvement. From the mechanic heart of the system to the polished passenger application you will find to name a few: routing, map display, differential privacy for location data and map matching. While a lot of mapping tech comes from commercial third-party solutions, we implement a fair share of in-house ideas. And the more the business grows, the more the innovations are needed. This is where you have a great opportunity to mix your strong data science skills with your passion to deliver the seamless product experience to every part of our system.&lt;br&gt;&lt;br&gt;&lt;strong&gt;Responsibilities&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Help build heuristic and machine learning models for ETA correction, next 30-second car position, traffic speed forecasting and more.&lt;/li&gt;&lt;li&gt;Work with a cross-functional team of engineers, designers and product managers to solve ambiguous problems and implement algorithms in production.&lt;/li&gt;&lt;li&gt;Research current system deficiencies and behaviour.&lt;/li&gt;&lt;li&gt;Create / improve metrics dashboards to understand maps situation at any given time.&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Requirements&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Understanding of geo tech application or graph theory, practical experience is a huge plus.&lt;/li&gt;&lt;li&gt;Experience in predictive machine learning or simulation, data analytics.&lt;/li&gt;&lt;li&gt;PhD or Master's degree in computer science, statistics, or related quantitative fields is a plus.&lt;/li&gt;&lt;li&gt;Proven experience of deploying solutions to production and measuring the impact.&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;What we offer&lt;br&gt;&lt;br&gt;&lt;/strong&gt;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.&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;Office-based role located in West London&lt;/li&gt;&lt;li&gt;Competitive salary &amp;amp; equity package&lt;/li&gt;&lt;li&gt;Medical insurance, including dental&lt;/li&gt;&lt;li&gt;Life and critical illness insurance&lt;/li&gt;&lt;li&gt;Monthly credit for Wheely journeys &lt;/li&gt;&lt;li&gt;Lunch allowance&lt;/li&gt;&lt;li&gt;Professional development subsidies&lt;/li&gt;&lt;li&gt;Cycle to work scheme &lt;/li&gt;&lt;li&gt;Top-notch equipment&lt;/li&gt;&lt;li&gt;Relocation allowance (dependent on role level)&lt;/li&gt;&lt;li&gt;Wheely has an in-person culture but allows flexible working hours and work from home when needed.&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;Wheely is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.&lt;br&gt;&lt;br&gt;All of your personal information will be collected stored and processed in accordance with Wheely's Candidate Privacy Notice

Data Scientist (Maps)

You need 6+ years in strategy consulting or tech ops, a STEM or quantitative degree, 1+ year managing a team, a hands-on approach, and familiarity with SQL or Python (learnable on the job).

You will set company goals, monitor KPIs, assist in compensation strategies, and oversee promotion processes while collaborating with leadership and managing departmental objectives.

Consulting

Business, Operations & Strategy

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. At Wheely, we are committed to building a high-performance organisation. To achieve this, we are forming a team of generalist problem solvers who will report directly to the founder. This team will play a critical role in setting and cascading company goals, ensuring the robustness of our performance metrics and mechanisms, and driving strategic initiatives to optimise our operations. Key Responsibilities: * Collaborate with the founder to set company goals and cascade these to departments and teams. * Develop and maintain tools for a comprehensive view of all goals, manage KPI cycle deadlines, and monitor KPI quality across departments. * Serve as a member of the Senior Leadership Team. * Participate in the remuneration committee, working with the founder and a non-executive board member to ensure appropriate compensation and equity strategies. * Own all processes related to promotion, variable compensation, and other relevant areas, to be implemented by people operations. Requirements: * 6+ years of experience in top-tier strategy consulting or as an operator in a fast-growing technology company. * STEM or other highly quantitative degree (e.g., Economics) from a globally recognised university. * At least 1 year of experience managing a team. * Hands-on approach. * Experience with SQL or Python (preferred), but can be learned on the job. 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 and equity package * Medical insurance, including dental services * Life and critical illness insurance * Monthly credit for Wheely journeys * Lunch allowance * Cycle to work scheme * 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

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.At Wheely, we are committed to building a high-performance organisation. To achieve this, we are forming a team of generalist problem solvers who will report directly to the founder. This team will play a critical role in setting and cascading company goals, ensuring the robustness of our performance metrics and mechanisms, and driving strategic initiatives to optimise our operations.Key Responsibilities: * Collaborate with the founder to set company goals and cascade these to departments and teams. * Develop and maintain tools for a comprehensive view of all goals, manage KPI cycle deadlines, and monitor KPI quality across departments. * Serve as a member of the Senior Leadership Team. * Participate in the remuneration committee, working with the founder and a non-executive board member to ensure appropriate compensation and equity strategies. * Own all processes related to promotion, variable compensation, and other relevant areas, to be implemented by people operations.      Requirements: * 6+ years of experience in top-tier strategy consulting or as an operator in a fast-growing technology company. * STEM or other highly quantitative degree (e.g., Economics) from a globally recognised university. * At least 1 year of experience managing a team. * Hands-on approach. * Experience with SQL or Python (preferred), but can be learned on the job.      WHAT WE OFFERWheely 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 and equity package * Medical insurance, including dental services * Life and critical illness insurance * Monthly credit for Wheely journeys * Lunch allowance * Cycle to work scheme * 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

Head of Performance (Strategy & Ops) - Wheely

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.&lt;br&gt;&lt;br&gt;More than 40% of our team works in product &amp;amp; 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.&lt;br&gt;&lt;br&gt;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.&lt;br&gt;&lt;br&gt;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.&lt;br&gt;&lt;br&gt;At Wheely, we are committed to building a high-performance organisation. To achieve this, we are forming a team of generalist problem solvers who will report directly to the founder. This team will play a critical role in setting and cascading company goals, ensuring the robustness of our performance metrics and mechanisms, and driving strategic initiatives to optimise our operations.&lt;br&gt;&lt;br&gt;&lt;strong&gt;Key Responsibilities:&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;Collaborate with the founder to set company goals and cascade these to departments and teams.&lt;/li&gt;&lt;li&gt;Develop and maintain tools for a comprehensive view of all goals, manage KPI cycle deadlines, and monitor KPI quality across departments.&lt;/li&gt;&lt;li&gt;Serve as a member of the Senior Leadership Team.&lt;/li&gt;&lt;li&gt;Participate in the remuneration committee, working with the founder and a non-executive board member to ensure appropriate compensation and equity strategies.&lt;/li&gt;&lt;li&gt;Own all processes related to promotion, variable compensation, and other relevant areas, to be implemented by people operations.&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;Requirements:&lt;br&gt;&lt;br&gt;&lt;/strong&gt;&lt;ul&gt;&lt;li&gt;6+ years of experience in top-tier strategy consulting or as an operator in a fast-growing technology company.&lt;/li&gt;&lt;li&gt;STEM or other highly quantitative degree (e.g., Economics) from a globally recognised university.&lt;/li&gt;&lt;li&gt;At least 1 year of experience managing a team.&lt;/li&gt;&lt;li&gt;Hands-on approach.&lt;/li&gt;&lt;li&gt;Experience with SQL or Python (preferred), but can be learned on the job.&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;&lt;strong&gt;WHAT WE OFFER&lt;br&gt;&lt;br&gt;&lt;/strong&gt;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.&lt;br&gt;&lt;br&gt;&lt;ul&gt;&lt;li&gt;Competitive salary and equity package&lt;/li&gt;&lt;li&gt;Medical insurance, including dental services&lt;/li&gt;&lt;li&gt;Life and critical illness insurance&lt;/li&gt;&lt;li&gt;Monthly credit for Wheely journeys&lt;/li&gt;&lt;li&gt;Lunch allowance&lt;/li&gt;&lt;li&gt;Cycle to work scheme&lt;/li&gt;&lt;li&gt;Professional development subsidies&lt;br&gt;&lt;br&gt;&lt;/li&gt;&lt;/ul&gt;Wheely has an in-person culture but allows flexible working hours and work from home when needed.&lt;br&gt;&lt;br&gt;Wheely is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.&lt;br&gt;&lt;br&gt;All of your personal information will be collected stored and processed in accordance with Wheely's Candidate Privacy Notice

Wheely

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