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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!
Data Scientist – Fleet Systems and Insights
About the Role
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.
Rather than focusing solely on black-box models, this role emphasizes using operational research techniques, experimental methods, and causal inference to derive actionable insights for operational efficiency and optimisation.
Key responsibilities may include:
- Developing frameworks to synthesise complex operational data (e.g., vehicle performance, route optimisation, experiment scheduling) to inform strategy at both the product and company levels.
- Identifying key performance metrics for fleet operations and continuously refining them to align with wider business goals.
- Creating and applying novel experimental methodologies to enhance the signal-to-noise ratio and speed up feedback loops, improving operational decision-making and optimising the use of on-road testing for AI/ML advancements.
- Combining experimental methods with causal inference techniques to test and optimise operational strategies.
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What We Are Looking For
Essential
- 3+ years of experience in a data science role, with a focus on operations research, process automation and optimisation, or similar fields.
- Proficient in querying and building large datasets, writing SQL for production-level 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, and assumptions behind statistical methods.
- Proficient in using a statistical scripting language (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.
- An emphasis on actionable insights that directly inform 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 in previous roles.
- Familiarity with causal inference, econometrics, or Bayesian methods for hypothesis testing in operations research.
- Prior experience working with large datasets and distributed computing (Spark, Hadoop).
- Experience in a fast-paced tech or startup environment.
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Working Environment
This is a full-time role based in our office in London. At Wayve, we offer a hybrid working policy, combining in-office and remote work to foster innovation, culture, relationships, learning, and productivity.
Diversity & Inclusion
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments during our interview process, please let us know.
We understand that everyone possesses unique skills and experiences, and not everyone may meet all of the listed requirements. If you’re passionate about self-driving cars and believe you can make a positive impact, we encourage you to apply.
We are dedicated to building a diverse, fair, and respectful culture that values everyone’s unique skills and background, regardless of:
- Sex, race, religion or belief, ethnic or national origin
- Disability, age, citizenship
- Marital, domestic or civil partnership status
- Sexual orientation, gender identity
- Veteran status
- Pregnancy or related conditions
For more information, visit Wayve Careers.
To learn more about what drives us, visit Wayve Values.
Disclaimer on DEI Initiatives
We will not ask about marriage or pregnancy, care responsibilities, or disabilities in job adverts or interviews. However, our DEI Monitoring form is optional and helps us improve equity in recruitment.
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