Data Scientist

Wayve ships a new driving model baseline every week. The Model Integration & Release team runs simulation and on-road testing to decide whether candidates are ready to promote - and there is a significant opportunity to get more from the data we already collect. As our release process matures, the next step is building a deeper analytical layer: strengthening how we measure performance, turning on-road findings into better simulation tests, and aligning what we measure with what operators experience in the vehicle.

This is a senior, high-impact role on the Model Integration & Release team. You'll own that analytical layer - turning evaluation outputs into findings that improve both our models and how we measure them. You'll work across simulation, on-road experiment data, and our internal evaluation tooling, partnering with Validation, Data Science, and Product. You'll have the autonomy and scope to improve how we evaluate - from identifying gaps in our measurement approach through to implementing changes that make our release decisions more confident and our feedback loops faster.

Key Responsibilities

• Shape how we learn from evaluation data - define what "going deeper" means in practice, and build the habits, tooling, and workflows that make it part of how we release models
• Improve how we measure driving performance - identify blind spots, inconsistencies, and gaps in our simulation and offline metrics; drive improvements to our evaluation methods, suites, and scoring logic
• Close the loop between on-road testing and offline evaluation - investigate what happens on-vehicle during release testing, determine whether our offline tests should have caught it, and turn those findings into concrete improvements to coverage and measurement
• Perform day-to-day experiment analysis and apply statistical rigor to evaluation data to provide confident, data-driven promotion recommendations for new driving models
• Expand what "good" means beyond intervention rates - develop and apply a richer view of model quality using the behavioural and operational signals we already collect
• Partner with Data Science and Validation on how we define, implement, and maintain evaluation methods and ground truth
• Support partner-facing quality investigations - help quantify and track issues raised through OEM QA workflows so they can be addressed within our release process
• Turn investigations into durable improvements - document findings and recommendations in a way the team can act on within a weekly release cadence, and follow through so the same class of issue doesn't recur

About you

In order to set you up for success as a Senior Data Scientist at Wayve, we're looking for the following skills and experience.

Essential

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Desirable

• Experience in autonomous driving, robotics, or safety-critical ML systems
• Familiarity with simulation-based testing, on-road experiment analysis, or statistical methods for comparing model behaviour
• Experience working across product, safety, and engineering teams to define what "good" looks like
• Exposure to OEM or partner validation workflows
• Experience improving evaluation infrastructure or measurement methodology

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.

, <p>This is a full-time role based in our office in either in London/UK or Sunnyvale/US. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. </p><div class="content-conclusion"><p>Wayve is 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.
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