Wayve
Data Scientist, Fleet Operations
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Data Scientist, Fleet Operations
About Wayve
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.
Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.
In our fast-paced environment, big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
Role: Data Scientist (Fleet Systems and Insights)
As a Data Scientist in the Fleet Systems and Insights team, you will play a critical role in optimising fleet operations through data-driven insights and operational research. You’ll help identify high-impact opportunities and guide strategic decision-making, driving improvements across the on-road testing lifecycle.
Unlike traditional roles focused solely on black-box models, this position emphasizes using operational research techniques, experimental methods, and causal inference to derive actionable insights for operational efficiency and optimisation. In this role, you might:
- Develop frameworks to synthesise complex operational data (e.g., vehicle performance, route optimisation, and experiment scheduling) to inform strategy at both the product and company levels.
- Identify key performance metrics for fleet operations and continuously refine them to ensure alignment with wider business goals.
- Create and apply novel experimental methodologies to enhance signal-to-noise ratio and speed up feedback loops, improving operational decision-making and optimising the use of on-road testing for ML advancements.
- Combine experimental methods with causal inference techniques to test and optimise operational strategies.
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Requirements
Essential
- 3+ years of experience in a Data Science role, with a focus on:
- Operations research,
- Process automation,
- Optimisation, or related fields.
- Proficient in:
- Querying and building large datasets.
- Writing production-level SQL for data transformation pipelines.
- Experience designing and evaluating real-world experiments (e.g., A/B testing) to optimise operations and performance.
- Strong understanding of:
- Statistical principles, including hypothesis testing, distributions, and assumptions behind statistical methods.
- Proficient in a statistical scripting language (e.g., Python, R) and relevant packages (e.g.,
pandas,scikit-learn,statsmodels). - Strong ability to:
- Summarise,
- Visualise, and
- Communicate data insights in a clear and compelling manner.
- Proven track record of driving operational improvements and influencing team strategies with data-driven findings.
- A focus on generating actionable insights for fleet operations prioritisation and optimisation strategies.
Desired
- Practical experience with:
- Machine learning and
- Optimisation techniques (e.g., PyTorch, scikit-learn).
- Experience promoting:
- Statistical rigor and experimental best practices.
- Familiarity with:
- Causal inference,
- Econometrics, or
- Bayesian methods for hypothesis testing in operations research.
- Prior experience working with:
- Large datasets and distributed computing (e.g., Spark, Hadoop).
- Experience in a fast-paced tech or startup environment.
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Terms
This is a full-time, hybrid role based in London, with options to work flexibly between office and home. As with all roles at Wayve, this role prioritises impact and lean on our fundamental values.
We are committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.
Wayve understands that everyone contributes unique skills and experiences. If you are passionate about self-driving cars and believe you have what it takes to make a positive difference in the world, we encourage you to apply.
Wayve’s commitment to inclusivity:
At Wayve, we're committed to fostering a diverse, fair, and respectful culture that values each person’s unique skills and perspectives. We uphold equality for all, regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital status, sexual orientation, gender identity, veteran status, pregnancy or related condition, or any other basis protected by law.
For more information, visit: 🔗 Careers at Wayve 🔗 Values at Wayve
For US candidates only:
⚠ DISCLAIMER: Wayve will not ask about marriage or pregnancy, care responsibilities, or disabilities in hiring materials or interviews. To improve inclusion and fairness, we invite candidates to optionally complete a DEI Monitoring form during the application process. This helps us identify areas for improvement and ensure accommodations are offered when we receive notice.
This form is optional, anonymous, and your responses will never influence hiring decisions. If your workplace is subject to local rules governing DEI documentation, then your participation remains voluntary. Administrative forms will be processed separately from hiring information.
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