Job Application for Staff Data Analyst at Wayve

Treecode; London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading developer of Embodied AI technology is seeking a highly analytical ODD & Behavioral Competency Analyst to enhance their autonomous driving capabilities. This full-time role in London involves analyzing traffic patterns and regulatory behaviors, defining data needs, and collaborating across teams to optimize data strategies. Candidates should have extensive experience in systems engineering and data analysis tools, contributing to a safer and smarter future in automated driving.

Qualifications

• 7+ years of experience in systems engineering, transportation analysis, data science, or related fields.
• Proven experience with traffic system modeling, autonomous deployment, or urban mobility analysis.
• Experience analyzing or defining ODDs in AV/ADAS contexts is a strong plus.

Responsibilities

• Analyzing and defining ODDs for each target market, considering geography, infrastructure, and local driving behaviors.
• Identifying ODD boundaries and failure triggers to guide data collection.
• Collaborating with legal and safety teams to align regulations with system behaviors.

Skills

Data analysis

Traffic system modeling

Systems engineering

Urban mobility analysis

Proficiency in Python

Proficiency in SQL

Proficiency in GIS

Proficiency in Jupyter

Education

MS or PhD in Physics, Statistics, Mathematics

Job description

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, 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 (including breastfeeding), or any other basis protected by applicable law.

About us

Founded in 2017, Wayve is a leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate complex environments, enhancing the safety and usability of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our mapless, hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to fully automated driving.

We embrace complex challenges, aiming high while staying humble, and constantly learning to pave the way for a safer, smarter future.

At Wayve, your contributions matter. We value diversity, foster inclusion, and support each other to make an impact.

Join us and make Wayve the defining experience of your career!

The role

To scale our end-to-end embodied AI for autonomous driving, we are building a world-class Data Management team focused on targeted data acquisition to improve model performance and predictability. We seek a highly analytical and systems-minded ODD & Behavioral Competency Analyst to analyze Operational Design Domains (ODDs), traffic patterns, and regulatory behaviors across markets.

This role will define what data is needed, where, and how much to develop models with high reliability and generalization across geographies.

Key responsibilities include:

1. Analyzing and defining ODDs for each target market, considering geography, infrastructure, weather, road types, traffic density, and local driving behaviors.
2. Identifying ODD boundaries, edge conditions, and failure triggers to guide data collection and system design.
3. Building and maintaining a taxonomy of behavioral competencies (e.g., merging, yielding, unprotected turns, pedestrian interactions) for safe operation in each ODD.
4. Quantifying the complexity and frequency of competencies based on traffic data, regulations, and observations.
5. Developing frameworks to prioritize permutations of ODD parameters and competencies to optimize data collection and scenario coverage.
6. Recommending minimal data slices needed for safe and predictable system performance in new regions.
7. Analyzing traffic laws, enforcement, and driving behaviors in new markets to assess differences and risks.
8. Collaborating with legal and safety teams to align regulations with system behaviors.
9. Working with data engineering, safety, simulation, and product teams to translate insights into data strategies and deployment plans.
10. Contributing to scenario library development, synthetic data generation, and test case prioritization.
11. Using historical data and statistical models to identify data gaps and high-variance behaviors impacting MTBF.
12. Guiding on additional data needed to meet MTBF targets in each ODD segment.

About you

To succeed as a Data Analyst at Wayve, you should have:

Essential:

• 7+ years of experience in systems engineering, transportation analysis, data science, or related fields.
• Proven experience with traffic system modeling, autonomous deployment, or urban mobility analysis.
• Experience analyzing or defining ODDs in AV/ADAS contexts is a strong plus.
• Knowledge of traffic regulations and human driving behaviors across regions.
• Proficiency in data analysis tools (Python, SQL, GIS, Jupyter) and visualization of ODD and scenario metrics.
• Ability to work cross-functionally and translate domain insights into technical requirements.
• Experience in agile, fast-paced environments with a strong execution focus.

Desirable:

• MS or PhD in Physics, Statistics, Mathematics, or related fields with specialization in traffic modeling or autonomous systems.

This is a full-time role based in London, with a hybrid working policy combining office and remote work. We operate core hours to provide flexibility.

#LI-KM1

We recognize diverse skills and experiences. If you're passionate about self-driving cars and making a positive impact, we encourage you to apply.

Values at Wayve

DISCLAIMER: We do not inquire about marriage, pregnancy, care responsibilities, or disabilities in job ads or interviews. We may collect diversity information via an optional DEI form to improve our hiring process and ensure inclusivity.