Staff Data Analyst

Job Description

Wayve is seeking a Staff Data Analyst to join their Data Management team in London. This role is crucial for scaling end-to-end embodied AI for autonomous driving by focusing on high-quality, targeted data acquisition. The Staff Data Analyst will lead the analysis of Operational Design Domains (ODDs), traffic patterns, and regulatory behaviors across target markets.Wayve is committed to creating a diverse, fair, and respectful culture that is inclusive of everyone.Responsibilities:

• Analyze and define the operational design domain (ODD) for each target market or region.
• Identify ODD boundaries, edge conditions, and failure triggers.
• Build and maintain a taxonomy of behavioral competencies.
• Quantify the complexity and frequency of each competency.
• Develop a framework to compute and prioritize permutations of ODD parameters and behavioral competencies.
• Recommend minimal data slices needed to support safe and predictable system performance.
• Analyze traffic laws, enforcement patterns, and common driving behaviors in new markets.
• Collaborate with legal and safety teams to map regulations to system-level behavioral expectations.
• Work closely with data engineering, safety, simulation, product, and deployment teams.
• Provide input to scenario library development, synthetic data generation, and test case prioritization.
• Use historical data and statistical models to identify data gaps or high-variance behaviors.
• Provide guidance on what additional data is needed to reach MTBF targets in each ODD segment.

Requirements:

• 7+ years experience in systems engineering, transportation analysis, data science, or a related field.
• Proven experience with traffic system modeling, autonomous driving deployment, or urban mobility analysis.
• Experience analyzing or defining ODDs in the context of AV/ADAS technologies is a strong plus.
• Familiarity with traffic regulations and human driving behaviors across multiple geographies.
• Proficiency in data analysis tools (e.g., Python, SQL, GIS, Jupyter).
• Ability to work cross-functionally and translate domain analysis into technical and product requirements.
• Experience working in an agile, fast-scaling environment.

Wayve offers:

• Hybrid working policy.
• Core working hours.