Data Scientist Jobs at Wheely in London 2026: For mid-level and senior roles, Wheely is seeking Data Scientists and Machine Learning Engineers in London. Professionals who wish to work on practical machine learning problems that directly affect high-end travel experiences will find this to be a fascinating opportunity.
This West London-based position blends engineering, data science, machine learning, and product thinking. You will take charge of projects from initial research and testing to production deployment, assisting Wheely in enhancing the mapping, matching, pricing, and delivery of rides.
The job is full-time and mostly office-based, with one remote day of your choosing and four days a week spent in the West London office. In addition to stock options, private healthcare, professional development support, and relocation aid, the advertized remuneration ranges from £90,000 to £110,000 annually.
Details of Data Scientist Job:
- Job Title: Data Scientist Jobs at Wheely in London 2026 – Apply Now
- Company: Wheely
- Location: London, England, United Kingdom
- Workplace: West London, primarily office-based
- Employment Type: Full-time
- Experience: 2+ years for mid-level; 5+ years for senior
- Salary: £90,000 – £110,000 per year
- Visa Sponsorship: Relocation support and visa sponsorship listed
- Industry: Technology, Transportation, Data Science and Machine Learnin
About Wheely:
Wheely is a high-end chauffeur service that uses technology to deliver a flawless, five-star ride. Serving over 100,000 active riders and 1,200 corporate accounts, the company operates in key cities around Europe, the US, and the Middle East.
Wheely continues to grow throughout the US and EMEA, with an annual revenue of over $100 million and a recent expansion into New York City. This gives skilled data workers a chance to work for a fast-paced, aspirational organization and contribute to significant technologies.
About the Data Scientist Role:
As a Data Scientist or Machine Learning Engineer, you will work on challenging problems where data can make a measurable difference. You may join teams focused on Mapping, Matching, Pricing, or Supply, depending on your skills and experience.
Your work could involve improving estimated arrival times, developing smarter routing systems, creating dynamic pricing models, optimizing rider and chauffeur matching, predicting driving behavior, or exploring the use of large language models.
The role is particularly suited to someone who enjoys turning complex and sometimes ambiguous problems into practical solutions.
Responsibilities for Data Scientist Jobs at Wheely in London:
- Collaborate closely with product managers, engineers, and designers to comprehend and resolve challenging business issues.
- Investigate novel strategies and create machine learning solutions for practical uses.
- Create prototypes, test concepts, evaluate outcomes, and transform successful models into operational systems.
- Continue experimenting to enhance current algorithms and machine learning models.
- Find new ways that machine learning and data science may enhance company and customer outcomes.
- Take charge of projects from conception and investigation to implementation and continuous development.
Requirements for Data Scientist Jobs:
- Strong academic background in a STEM-related discipline.
- At least 2 years of Data Science or Machine Learning experience for mid-level positions.
- At least 5 years of relevant experience for senior positions.
- Strong understanding of probability, statistics, and data-driven problem solving.
- Ability to work collaboratively with technical and non-technical teams.
- Practical understanding of machine learning development and production deployment.
Nice-to-Have Skills:
Experience with geospatial data, mapping, routing, operations research, combinatorial optimization, or real-time machine learning systems can be particularly valuable.
Knowledge of latency-sensitive ML applications may also be beneficial, especially for candidates interested in building systems that need to respond quickly and reliably at scale.
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Benefits of Data Scientist Job:
- Competitive Salary and Financial Growth: Data Scientist Jobs at Wheely in London offer an attractive £90,000 to £110,000 annual salary, providing experienced professionals with strong earning potential while working on sophisticated machine learning and data science projects.
- Employee Stock Options and Long-Term Opportunity: Eligible employees can participate in Wheely’s stock options plan, giving talented professionals an opportunity to share in the company’s future growth while developing their careers within an ambitious international technology business.
- Advanced Machine Learning Experience: Employees can work on challenging real-world problems involving mapping, matching, dynamic pricing, ETA prediction, routing, driving behavior, and LLM integration, helping them strengthen valuable technical and analytical skills.
- Flexible Hybrid Working Environment: The role combines four office days in West London with one remote working day of choice, alongside flexible start and finish times that can support productivity and a healthier working routine.
- Healthcare and Employee Protection Benefits: Wheely provides private medical and dental insurance together with life and critical illness cover, giving employees additional financial and personal protection as part of the overall employment package.
- Professional Development and Relocation Support: Employees can receive professional development funding as well as relocation assistance, including visa sponsorship and a relocation allowance, making the opportunity attractive to qualified international candidates seeking a London based career.
Working Arrangement:
This is an on-site role in West London with a flexible hybrid arrangement. Employees are expected to work from the office four days per week, with one remote working day of their choice.
Flexible start and finish times provide additional support for maintaining a productive and sustainable working routine.
Why Consider This Opportunity?
When your job goes beyond dashboards and reports and really modifies a product’s functionality, a Data Scientist position can be fulfilling. Transportation, customer experience, pricing, routing, and operational efficiency are all directly impacted by machine learning at Wheely.
This role gives the opportunity to have a noticeable effect for someone who likes to solve challenging problems, try out novel concepts, and see their efforts come to fruition. Additionally, you will get the chance to collaborate with engineers, designers, and product specialists while creating solutions for a developing global technology company.
A Career Opportunity With Real Impact:
Writing models is only one aspect of working in data science. It involves posing more insightful queries, identifying trends in complicated data, and transforming those discoveries into practical choices.
Your work at Wheely might improve ride matching, help a driver take a better route, provide a customer a more precise arrival time, or make pricing more responsive. This position is an exciting next step for experts who desire their technical skills to have a direct and quantifiable impact.
Visa Sponsorship and Relocation:
Wheely lists relocation support, including visa sponsorship and a relocation allowance, as part of its benefits. Candidates should confirm their individual eligibility, sponsorship availability, and applicable immigration requirements directly with the employer during the recruitment process.
How to Apply for Data Scientist Jobs at Wheely in London?
Apply for the current Data Scientist – London post at Wheely by going to the company’s official careers page. One of Wheely’s open positions is for a Data Scientist in London.
Application steps:
- Open Wheely Careers and Open Roles.
- Find “Data Scientist” under the “Data Science” team and select the London position.
- Review the current job requirements, responsibilities, salary, and working arrangement.
- Prepare an updated CV highlighting your Data Science, Machine Learning, statistics, probability, and production ML experience.
- Emphasize relevant experience with geospatial data, routing, optimization, pricing, matching, or real-time ML systems if applicable.
- Submit your application through Wheely’s official recruitment process.
- If you require relocation or visa sponsorship, clearly indicate this during the recruitment process and confirm your eligibility with Wheely. Wheely states that it provides visa sponsorship and relocation assistance for eligible employees.
Is the Wheely Data Scientist position full-time?
Yes, the Data Scientist position is a full-time opportunity based in London. The role follows a primarily office-based working arrangement, with four days in West London and one remote working day available each week for employees.
Does Wheely provide visa sponsorship for overseas applicants?
Wheely lists visa sponsorship and relocation support among the benefits associated with eligible positions. International applicants should confirm sponsorship availability and individual eligibility directly with Wheely during recruitment, because immigration requirements and sponsorship decisions can vary by candidate.
What machine learning projects could Data Scientists handle?
Data Scientists may work on ETA prediction, routing, map matching, dynamic pricing, bipartite matching, driving style prediction, supply optimization, and LLM integration. These projects provide opportunities to develop practical machine learning systems addressing complex transportation challenges at scale.
