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- Tasks: Join our Mapping team to build innovative models for ETA correction and traffic forecasting.
- Company: Wheely is revolutionizing high-end transportation with a focus on excellence and customer experience.
- Benefits: Enjoy competitive salary, medical insurance, lunch allowance, and flexible working hours.
- Why this job: Be part of a growing company where your data science skills can drive real impact in mapping technology.
- Qualifications: Experience in geo tech applications, predictive machine learning, and a relevant degree is preferred.
- Other info: This role is office-based in West London but offers flexibility for remote work.
The predicted salary is between 36000 - 60000 £ per year.
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.
We are looking for a Data Scientist to join the Wheely for Mapping team.
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
- 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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Data Scientist (Maps) employer: Wheely
Contact Detail:
Wheely Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Maps)
✨Tip Number 1
Familiarize yourself with the latest trends in geo tech applications and graph theory. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with predictive machine learning and data analytics by preparing specific examples of projects you've worked on. Be ready to discuss how these experiences can directly contribute to Wheely's mapping team.
✨Tip Number 3
Network with professionals in the transportation and mapping sectors. Engaging with industry experts can provide insights into the challenges they face, which you can address in your discussions with Wheely.
✨Tip Number 4
Research Wheely's current products and services, especially their mapping features. Understanding their offerings will allow you to tailor your approach and demonstrate how you can enhance their existing systems.
We think you need these skills to ace Data Scientist (Maps)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Scientist position at Wheely. Familiarize yourself with geo tech applications, machine learning models, and the specific challenges mentioned in the job description.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, predictive modeling, and any work related to geo services or graph theory. Use specific examples that demonstrate your skills and achievements in these areas.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how it aligns with Wheely's mission. Mention your understanding of their products and how your skills can contribute to enhancing their mapping technology.
Highlight Your Technical Skills: In your application, emphasize your technical skills related to machine learning, data analytics, and any experience deploying solutions to production. Be specific about the tools and technologies you have used in past projects.
How to prepare for a job interview at Wheely
✨Show Your Passion for Geo Tech
Make sure to express your enthusiasm for geo tech applications and graph theory during the interview. Share any relevant projects or experiences that highlight your understanding and passion for these areas.
✨Demonstrate Your Data Science Skills
Prepare to discuss your experience with predictive machine learning, simulation, and data analytics. Be ready to provide examples of how you've built and deployed models in production, and the impact they had on previous projects.
✨Collaborative Mindset
Wheely values teamwork, so emphasize your ability to work with cross-functional teams. Share examples of how you've collaborated with engineers, designers, and product managers to solve complex problems.
✨Prepare for Technical Questions
Expect technical questions related to heuristic and machine learning models, as well as metrics dashboards. Brush up on relevant concepts and be prepared to discuss how you would approach specific challenges in the mapping domain.
