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!
As a Data Scientist supporting AI engineers, you will partner with one or more engineering teams, developing actionable insights that guide improvements to the Wayve AI Driver. Using experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety, and performance of the Wayve AI Driver, helping to advance Wayve as the leader in end-to-end AI for autonomous mobility.
This means you might:
- Formulate and iterate upon the performance metrics that organize our engineering efforts and guide progress toward commercial success
- Design experiments and targeted off-road measurements to ensure that we deliver product requirements to customers while maintaining safety and performance
- Investigate factors in model training and inference leading to bottlenecks in functionality and performance, identifying and validating hypotheses for unlocking improvements
- 3+ years experience working in a Data Science role.
- Fluent in querying and building large datasets, writing production-level SQL for use in data-transformation pipelines.
- Prior experience designing robust real-world experiments (e.g. A/B) and critically evaluating test-statistics
- Foundations in the fundamentals behind statistics: testing appropriate distributions, testing the assumptions behind frequentist stats
- Proficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)
- Well-versed in summarising, visualising and communicating findings in an accessible and compelling way
- Track record of influencing team direction through your findings
- A bias towards deriving actionable insight that can be used to drive prioritisation and strategy for others.
- Comfortable working asynchronously across time zones with cross-functional partners
- You are deeply curious about building something new and relish the idea of helping to define AV2.0 and how we build it.
- Practical experience with machine learning (e.g. PyTorch). Passion to take research ideas to production.
- Track record of promoting statistical rigour and experimental best practices in your prior roles.
- Prior experience using causal inference/econometric techniques and bayesian methodologies for hypothesis testing.
- Prior experience using large datasets with distributed computing (e.g. spark, hadoop or other map-reduce tech)
- Experience working in a fast-moving tech company or startup.
This is a full-time role based in our office in London (2 days a week in the office). 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.
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.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and 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 condition (including breastfeeding) or any other basis as protected by applicable law.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values at Wayve
For US candidates only, please visit E-Verify Notice and Participation and Right to Work
DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Skills Required
- 3+ years of experience working in a Data Science role
- Fluency querying and building large datasets, including production-level SQL for data-transformation pipelines
- Experience designing robust real-world experiments, such as A/B tests, and critically evaluating test statistics
- Strong foundation in statistics, including selecting appropriate distributions and testing frequentist-statistics assumptions
- Proficiency with a statistical scripting language and data science or machine learning packages, such as Python or R
- Ability to summarize, visualize, and communicate findings accessibly and compellingly
- Track record of influencing team direction through analytical findings
- Bias toward deriving actionable insights that drive prioritization and strategy
- Comfort working asynchronously across time zones with cross-functional partners
- Curiosity about building new technology and defining autonomous-vehicle development approaches
- Practical machine learning experience, such as PyTorch, with interest in taking research ideas to production
- Track record promoting statistical rigor and experimental best practices
- Experience with causal inference, econometric techniques, or Bayesian methodologies for hypothesis testing
- Experience using large datasets with distributed computing, such as Spark, Hadoop, or other MapReduce technologies
- Experience working in a fast-moving technology company or startup
Wayve Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wayve and has not been reviewed or approved by Wayve.
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Healthcare Strength — Private healthcare and access to therapy via Spill are part of the standard package. This indicates robust health support within the core offering.
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Leave & Time Off Breadth — Paid vacation, public holidays, and additional leave programs are explicitly listed. This breadth of time away supports work–life balance expectations.
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Equity Value & Accessibility — Cash plus equity is standard in offers at this growth stage. This provides ownership alongside salary with perceived upside tied to company momentum.
Wayve Insights
What We Do
We're Wayve, a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the benefits of AV technology at scale. Founded in 2017, Wayve is made up of a diverse team of experts in machine learning and robotics. We were the first to deploy AVs on public roads with end-to-end deep learning. Today, our teams are based in London and California, and we're testing AVs in cities across the UK. Inspired by our vision for a smarter, safer, more sustainable world, we're looking for people who are passionate about building breakthrough solutions to some of the world’s most important challenges. If you're looking for an exciting opportunity with a dynamic team, get in touch!
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