Lead the Applied Methods Data Science team to turn experimental and observational driving data into actionable insights for autonomous vehicle development. Set technical direction, manage roadmaps, and ensure statistical rigour while scaling the team through hiring and tooling. Require strong data science foundation, causal‑inference expertise, and experience managing high‑performing teams.
Key Highlights
Leadership of a data science team supporting autonomous vehicle engineering.
Responsibility for roadmaps, technical reviews, and delivery risk management.
Must have proven experience managing teams and applying causal‑inference methods.
Key Responsibilities
Set and align priorities with Autonomy stakeholders, maintaining three‑, six‑, and twelve‑month roadmaps.
Review technical proposals and designs with senior engineers, ensuring statistical rigour and evaluation fidelity.
Monitor delivery status, surface schedule risks early, and manage trade‑offs with customers.
Grow the team by hiring and onboarding data scientists and investing in tooling and automation.
Guide career‑growth conversations and build clear progression pathways for team members.
Build and maintain cross‑functional relationships to keep the team close to its customers and anticipate future support needs.
Technical Skills Required
Causal Inference
Statistical Analysis
Distributed Computing
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Benefits & Perks
Market‑benchmarked salaries
Equity ownership
Relocation support and visa sponsorship
Hybrid working (2 days in office)
Learning and development budget
Nice to Have
Experience building or scaling an applied or embedded data science function.
Background in simulation, offline evaluation, or measurement for machine‑learning systems.
Practical machine‑learning experience with frameworks such as PyTorch.
Familiarity with large datasets and distributed computing platforms like Spark or Hadoop.
Experience in fast‑moving technology startups or companies.
Job Description
Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.Here’s what this particular role covers.Wayve is seeking a Data Science Manager to lead our Applied Methods Data Science team, based in the UK. The team acts as a trusted partner to the Autonomy organisation, turning experimental and observational analysis of real and simulated driving into the evaluations and insights that help engineering teams rapidly progress towards customer commitments.
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