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Data Science Manager

wayveLondon, United KingdomSimulation, Evaluation, Validation
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Salary
Not listed
Job type
Full-time
Experience
Senior · 3+ yrs
Posted
5 Oct 2026
Status
Open · checked 7d ago

About this role

This position suits experienced data science leaders who want real ownership and are comfortable shaping strategy in a fast-moving environment. The Data Science Manager role is based in London, United Kingdom, and requires working two days per week in the office.

Role Overview

Wayve is seeking a Data Science Manager to lead the Applied Methods Data Science team, based in the UK. This 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. In this role, the manager broadens the team’s impact, accelerates delivery, and scales its capability through additional headcount and technology.

Key Responsibilities

Set and align priorities with stakeholders across Autonomy, maintaining provisional three-, six-, and 12-month roadmaps that balance customer demand with team capacity.
Work with technical leads and senior engineers to review technical proposals and designs, maintaining a high bar for statistical rigour and evaluation fidelity.
Monitor delivery status and cadence, surface schedule risks early, and manage trade-offs with customers.
Grow the team by hiring and onboarding data scientists, while investing in tooling and automation that enable the team to scale beyond headcount alone.
Guide career-growth conversations, matching business needs with development opportunities and building progression pathways.
Build cross-functional relationships that keep the team close to its customers and anticipate where support will be needed.

Requirements

Three or more years of experience managing a team of five or more individual contributors.
A track record of growing and maintaining high-performing teams.
A strong data science foundation, including experience applying causal-inference methods in experimental or observational settings.
Experience building strong working relationships with cross-functional stakeholders and customers, translating their needs into clear team priorities.
Experience setting technical direction and reviewing designs and proposals from senior engineers.
Comfort planning and communicating roadmaps, and managing delivery and expectations with demanding customers.
Comfort working asynchronously across time zones with cross-functional partners.
Deep curiosity about building something new and excitement to help define AV2.0 and how Wayve builds it.

Nice to Have

Experience building or scaling an applied or embedded data science function.
Experience with simulation, offline evaluation, or measurement for machine-learning systems.
Practical machine-learning experience, such as PyTorch.
Experience taking research ideas into production.
Familiarity with statistical rigour, experimental best practice, large datasets, and distributed computing such as Spark or Hadoop.
Background working in fast-moving technology companies and startups.

Skills and Tools

PyTorch
Spark
Hadoop
Causal inference methods

Salary and Benefits

Salaries benchmarked against the market annually
Meaningful equity, sharing in the ownership and long-term success of Wayve
Relocation support and visa sponsorship where applicable
Hybrid working model with two days per week in the office, core hours, and access to vehicle workshops and labs
Learning and development budgets with support for training, conferences, and growth
Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, and team socials

About the Company

Wayve builds the embodied intelligence that moves real vehicles safely, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. The company develops a mapless and hardware-agnostic AI platform that integrates with global OEM partners, enabling continuous software evolution from L2+ through to L4 automation. Wayve operates with a hybrid working model, combining in-person collaboration in London offices and workshops with remote flexibility.

How to Apply

Candidates should apply on the official Wayve careers page.

Skills and tech stack

PyTorchSparkHadoopMachine Learning

Questions candidates ask

Where is the Data Science Manager position located?

The role is based in London, United Kingdom, with a hybrid working model requiring two days per week in the office.

How many years of management experience are required?

Candidates must have three or more years of experience managing a team of five or more individual contributors.

What technical background is expected for this role?

Applicants need a strong data science foundation, including experience applying causal-inference methods in experimental or observational settings, as well as experience setting technical direction and reviewing designs from senior engineers.

What does the interview process involve?

The process includes an initial recruiter screen, competency interviews (Manager Screen, Quant Domain Interview, and Code Review), deep-dive interviews (Cross-functional Collaboration, Leadership & Management, and Causal Inference Case Study), and a final Leadership Team interview.

Is visa sponsorship available for this position?

Yes, relocation support and visa sponsorship are available where applicable.

Ready to apply?

The application is on the official wayve careers page.

Apply on company site