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Data Scientist, Fleet Operations
Wayve: Data Scientist in Fleet Systems and Insights
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.
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!
The Role: Data Scientist in 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.
This role emphasises using operational research techniques, experimental methods, and causal inference—not just black-box models—to derive actionable insights for operational efficiency and optimisation.
What You’ll Work On
- Develop frameworks to synthesize complex operational data (e.g., vehicle performance, route optimisation, experiments scheduling) to inform strategy at both product and company levels.
- Identify key performance metrics for fleet operations and continuously refine them to align with wider business goals.
- Create and apply novel experimental methodologies to enhance the signal-to-noise ratio and speed up feedback loops, improving operational decision-making and on-road testing optimization for ML advancements.
- Combine experimental methods with causal inference techniques to test and refine operational strategies.
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What We Are Looking For
Essential Criteria
- 3+ years of experience in Data Science, with a focus on operations research, process automation and optimisation, or similar 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 optimize operations and performance.
- Solid understanding of statistical principles, including:
- Hypothesis testing
- Distributions
- Statistical method assumptions
- Proficient in a statistical scripting language (e.g., Python, R) and relevant packages (pandas, scikit-learn, statsmodels).
- Strong ability to summarise, visualise, and communicate data insights clearly and compellingly.
- Proven track record of driving operational improvements and influencing team strategies with data-driven findings.
- Focus on actionable insights that directly inform fleet operations prioritization and optimisation.
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Desired Skills
- Practical experience with machine learning and optimisation techniques (e.g., PyTorch, scikit-learn).
- Experience promoting statistical rigor and experimental best practices in previous roles.
- Knowledge of causal inference, econometrics, or Bayesian methods for operations research hypothesis testing.
- Experience working with large datasets and distributed computing (e.g., Spark, Hadoop).
- Background in a fast-paced tech or startup environment.
Work Arrangements
This is a full-time role based at our London office, with a hybrid working policy:
- In-office time to foster innovation, culture, collaboration, and learning.
- Flexible remote work to support productivity and work-life balance.
Commitment to Inclusivity
Wayve is committed to:
- A diverse, fair, and respectful culture that values everyone’s unique skills and perspectives.
- A non-discriminatory interview process.
- If you require accommodations to fully participate in our interview process, please let us know.
Note: We strictly avoid discriminatory language in hiring (e.g., questions about marriage, pregnancy, or care obligations). Disability and care-related data are captured via optional forms for internal improvement only.
For more information about our broader policies, visit our [Careers at Wayve](Careers at Wayve) and [Values at Wayve](Values at Wayve) pages.
Legal Notices (Subsection Only)
*(Note: For US candidates only, visit:
For international applicants, no additional legal notices apply.
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