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Senior Data Scientist

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

Senior Data Scientist is a full-time role based in the London office with a hybrid working model, suiting a data professional with statistical expertise who wants to support AI engineers in improving autonomous driving technology. This position sits within Wayve, contributing to embodied intelligence platforms for vehicles.

Role Overview

As a Data Scientist supporting AI Engineers at Wayve in London, you will partner with engineering teams to develop actionable insights that guide improvements to the Wayve AI Driver. This full-time position operates on a hybrid model requiring two days a week in the London office, offering an environment suited for professionals who enjoy building new solutions and working asynchronously across time zones.

Key Responsibilities

Formulating and iterating on performance metrics that organise engineering efforts and guide commercial progress.
Designing experiments and targeted off-road measurements to deliver customer requirements while maintaining safety and performance.
Investigating factors in model training and inference that create bottlenecks in functionality and performance.
Identifying, testing, and validating hypotheses to unlock improvements to the Wayve AI Driver.
Summarising, visualising, and communicating findings in an accessible way that supports prioritisation and strategy.

Requirements

3+ years of experience in a Data Science role.
Fluency in querying and building large datasets, including writing production-level SQL for data-transformation pipelines.
Experience designing robust real-world experiments, such as A/B tests, and critically evaluating test statistics.
Strong statistical foundations, including selecting appropriate distributions and testing frequentist statistics assumptions.
Proficiency in a statistical scripting language and data science packages such as Python with pandas, sklearn, statsmodels, or scipy, or R with dplyr, caret, or stats.
Skill at summarising, visualising, and communicating findings accessibly and compellingly.
Ability to influence team direction through findings with a bias towards actionable insight.
Comfort working asynchronously across time zones with cross-functional partners.

Nice to Have

Practical machine-learning experience with PyTorch and taking research ideas to production.
A track record of promoting statistical rigour and experimental best practices.
Experience with causal inference, econometric techniques, or Bayesian methodologies for hypothesis testing.
Experience working with large datasets and distributed computing technologies like Spark, Hadoop, or map-reduce tools.
Experience working in a fast-moving technology company or startup.

Skills and Tools

SQL
Python
pandas
sklearn
statsmodels
scipy
R
dplyr
caret
PyTorch
Spark
Hadoop

Salary and Benefits

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

About the Company

Wayve builds embodied intelligence and AI platforms for autonomous driving that enable vehicles to learn directly from real-world experience. The company takes a mapless and hardware-agnostic approach that integrates with global OEM partners to scale automation from L2+ to L4. Wayve operates main hubs in London, Sunnyvale, Yokohama, Herzliya, Vancouver, and Leonberg.

How to Apply

Candidates should apply on the official company careers page at wayve.ai/careers.

Skills and tech stack

SQLPythonpandassklearnstatsmodelsscipyRdplyrcaretPyTorchSparkHadoopMachine Learning

Questions candidates ask

What is the location and work model for the Senior Data Scientist role?

The role is based in the London office and follows a hybrid working model requiring two days a week in the office.

How many years of experience are required for this position?

Applicants must have 3+ years of experience in a Data Science role.

What programming languages and tools should I be familiar with?

Candidates need fluency in SQL and proficiency in a statistical scripting language like Python (with pandas, sklearn, statsmodels, or scipy) or R (with dplyr, caret, or stats). Experience with PyTorch, Spark, or Hadoop is listed as nice to have.

What does the interview process involve?

The process includes a 30-minute initial recruiter screen, competency interviews consisting of a hiring manager interview and a SQL or Python programming interview, deep-dive technical interviews covering a quant domain interview and a causal inference case study, and a final 30-minute leadership interview.

Is visa sponsorship available for this role?

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

Ready to apply?

The application is on the official wayve careers page.

Apply on company site