Data Science Manager

Salary: £60,000 - 60,000 per year

Requirements:

• 3+ years of experience managing a team of 5+ ICs
• Track record of growing and maintaining high-performing teams
• Strong data science foundation, including experience applying causal inference methods, whether experimental or observational
• Track record of building strong working relationships with cross-functional stakeholders and customers, and turning their needs into team priorities
• Experience setting technical direction and reviewing the designs and proposals of senior engineers
• Comfortable planning and communicating roadmaps, and managing delivery and expectations with demanding customers
• Comfortable working asynchronously across time zones with cross-functional partners
• Deep curiosity about building something new and interest in helping define AV2.0 and how we build it
• Experience building or scaling an applied or embedded data science function, including the technology and tooling that lets a team scale beyond headcount alone
• Familiarity with simulation, offline evaluation, or measurement for ML systems, ideally generalising across vehicle platforms and sensor stacks
• Practical experience with machine learning, e.g. PyTorch, and a track record of taking research ideas to production
• Track record of promoting statistical rigour and experimental best practice across a team
• Prior experience with large datasets and distributed computing, e.g. Spark, Hadoop, or other map-reduce tech
• Experience working in a fast-moving tech company or startup

Responsibilities:

• Set and align priorities with stakeholders across Autonomy, and maintain provisional 3/6/12 month roadmaps that balance customer demand against team capacity
• Work with technical leads and senior engineers to review technical proposals and designs, holding a high bar for statistical rigour and eval fidelity
• Monitor status and delivery cadence, surface schedule slippage early, and manage the trade-offs with customers
• Grow the team by hiring and onboarding new data scientists, and invest in tooling and automation that let the team scale beyond headcount alone
• Guide career growth conversations with engineers, matching business needs to development opportunities and building out progression pathways
• Build the cross-functional relationships that keep the team close to its customers and ahead of where support will be needed

Technologies:

• AI
• Embedded
• Hadoop
• Hardware
• Support
• Machine Learning
• PyTorch
• Spark

More:

We are Wayve, founded in 2017 and a leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate complex environments, improving the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward, and our intelligent, mapless, hardware-agnostic products are designed for automakers to accelerate the transition from assisted to automated driving. We operate in a fast-paced, high-challenge environment where we embrace uncertainty, learn continuously, and value diversity and inclusion. This is a full-time role based in our London office, with a hybrid working policy that includes 2 days a week in the office to support innovation, culture, relationships, and learning.

last updated 36 week of 2026