Data Science Manager

In this role you lead Wayve’s Applied Methods Data Science team within the Autonomy organization to turn driving analysis into impactful evaluations. You shape priorities, scale the team, and foster cross-functional partnerships to accelerate delivery. You’ll guide technical direction, ensure statistical rigour, and build capabilities that advance end-to-end AI for autonomous mobility. This is a hands-on leadership role shaping AV2.0 initiatives and the future of Wayve’s driving intelligence.

• Salaries benchmarked against the market annually
• Meaningful equity
• Relocation support and visa sponsorship where applicable
• Hybrid working with core hours
• Learning and development budgets
• Comprehensive benefits including health insurance and wellbeing support

• Set and align 3-, 6-, and 12-month roadmaps with Autonomy stakeholders to balance demand and capacity
• Review technical proposals and designs with leads and engineers to maintain high statistical rigour and evaluation fidelity
• Monitor progress, surface risks early, and manage trade-offs with customers
• Grow the team through hiring, onboarding, and investing in tooling/automation to scale beyond headcount
• Guide career growth and create progression pathways by matching business needs with development opportunities
• Build cross-functional relationships to keep the team close to customers and anticipate support needs

• 3+ years managing a team of five or more individual contributors
• Track record of growing and maintaining high-performing teams
• Strong data science foundation with experience applying causal-inference methods in experimental or observational settings
• Strong relationships with cross-functional stakeholders and customers to translate needs into priorities
• Experience setting technical direction and reviewing designs/proposals from senior engineers
• Comfort planning roadmaps and managing delivery with demanding customers
• Willingness to work asynchronously across time zones with cross-functional partners
• Curiosity to help define AV2.0 and Wayve's driving intelligence
• Desirable: experience building/scaling applied or embedded data science, simulation/offline evaluation, practical ML (e.g., PyTorch); familiarity with statistical rigour, large datasets, and distributed computing (Spark/Hadoop)

• cross-functional collaboration
• leadership and people development
• communication of complex concepts to stakeholders
• causal-inference methods
• PyTorch
• simulation/offline evaluation