Data Science - Manager

• Lead the UK-based applied methods Data Science team within Simulation, Evaluation, Validation. • Manage a group of data scientists who act as trusted partners to the Autonomy organisation. • Turn experimental and observational analysis of real and simulated driving into the evals and insights that let engineering teams hill-climb towards customer commitments. • Broaden the team’s impact, speed up its delivery, and scale it through both headcount and technology. • Help advance Wayve as the leader in end-to-end AI for autonomous mobility. • Work asynchronously across time zones with cross-functional partners. • Work hybrid from the London office, spending two days a week on site.

• Bring 3+ years managing a team of 5 or more individual contributors. • Show a track record of growing and maintaining high-performing teams. • Bring a strong data science foundation of your own, including applying causal inference methods, whether experimental or observational. • Build strong working relationships with cross-functional stakeholders and customers, turning their needs into team priorities. • Set technical direction and review the designs and proposals of senior engineers. • Plan and communicate roadmaps comfortably, managing delivery and expectations with demanding customers. • Work asynchronously across time zones with cross-functional partners. • Bring deep curiosity about building something new and relish helping define AV2.0 and how it gets built. • Be based in London and spend two days a week in the office.

• Bring experience building or scaling an applied or embedded data science function, including the technology and tooling that lets a team scale beyond headcount. • Bring familiarity with simulation, offline evaluation, or measurement for ML systems, ideally generalising across vehicle platforms and sensor stacks. • Bring practical machine learning experience, for example with PyTorch, and a track record of taking research ideas to production. • Show a track record of promoting statistical rigour and experimental best practice across a team. • Bring prior experience with large datasets and distributed computing such as Spark, Hadoop, or other map-reduce technologies. • Bring experience working in a fast-moving tech company or startup. • Let Wayve know if you need any accommodations or adjustments to take part fully in the interview process.

• Set and align priorities with stakeholders across Autonomy, maintaining provisional 3, 6, and 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. • Invest in the tooling and automation that let the team scale beyond headcount alone. • Guide career growth conversations with your engineers, matching business needs to development opportunities and building progression pathways. • Build the cross-functional relationships that keep the team close to its customers and ahead of where support will be needed.

Wayve is one of the most exciting AI companies in the UK right now. They are tackling one of the hardest problems in technology, teaching machines to drive, and they are doing it with an approach that the rest of the industry is now converging towards. Backed by SoftBank, Microsoft, NVIDIA, Uber, Mercedes-Benz, Nissan, and Stellantis, Wayve has raised $2.8 billion in total funding and reached a valuation of $8.6 billion. With over 1,000 employees across London, Silicon Valley, Vancouver, Leonberg, Herzliya, and Tokyo, Wayve is scaling fast while keeping its London HQ at the centre. What stands out on Glassdoor (4.4/5 from 112+ reviews) is how consistently employees praise the culture, the calibre of colleagues, and the quality of the technical work. People describe it as some of the most interesting work of their careers. Wayve also offers an on-site chef, private healthcare, competitive pay with equity, and a genuine learning environment where you work alongside world-class ML researchers and engineers. That said, some reviews flag that the pace can be intense and that working across global time zones can stretch working hours. If you are an engineer, researcher, or operator who wants to work on genuinely frontier technology with real-world impact, and you thrive in fast-paced, mission-driven environments, Wayve is a rare opportunity.

• Lead a data science team that partners directly with the Autonomy organisation. • Scale a function through both hiring and the tooling that multiplies its output. • Help define AV2.0 and how it gets built. • Work hybrid with two days a week in the London office and the rest from home. • Work asynchronously with cross-functional partners across time zones. • Contribute to an inclusive environment that values diversity and new perspectives.

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Its advanced AI software and foundation models let vehicles perceive, understand, and navigate any complex environment, improving the usability and safety of automated driving systems. Wayve builds intelligent, mapless, hardware-agnostic AI products for automakers, aiming to accelerate the transition from assisted to automated driving and create autonomy that propels the world forward.