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Senior Data Scientist

Wayve · London, United Kingdom

Confidence
High confidence
Posted
5 Oct 2026
First seen
24 Oct 2026
Last checked

Evidence

High confidence

The posting says Wayve sponsors visas, and Wayve is on the UK Home Office register.

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UK Home Office Register of Licensed Sponsors

Listed as Wayve Technologies Ltd. London · Skilled Worker route · A rating. Snapshot 26 Oct 2026.

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Job posting

Relocation support and visa sponsorship where applicable

On jobs.ashbyhq.com/wayve, read 26 Oct 2026.

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Still open

Seen on the job board

First seen 24 Oct 2026. We check every day and remove closed roles.

Where you apply

jobs.ashbyhq.com/wayve

Wayve’s job board, hosted by Ashby.

Being on the register means Wayve can sponsor visas. It doesn’t confirm this role qualifies, so check with the recruiter.

About the role

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.

As a Data Scientist supporting AI Engineers, you will partner with one or more engineering teams to develop actionable insights that guide improvements to the Wayve AI Driver. Through experimental and observational analyses of real and simulated driving, you will help teams advance the functionality, safety and performance of the Wayve AI Driver.

This is a full-time role based in our London office, with two days a week in the office as part of our hybrid working model. Your day-to-day You will work closely with engineering and cross-functional partners to turn data into clear, practical direction. Your findings will help teams understand performance, validate product requirements and prioritise the opportunities that matter most. You will be comfortable working asynchronously across time zones, communicating findings clearly and compellingly, and influencing team direction through evidence. What you’ll be working on: - Formulating and iterating on the performance metrics that organise our engineering efforts and guide progress towards commercial success.

Read the full posting

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