Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Senior Data Scientist - AD/ADAS

Woven by Toyota
London
1 month ago
Create job alert

Woven by Toyota is enabling Toyota's once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation - expanding what "mobility" means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and enhanced well-being for all.

TEAM

The cloud and data engineering team accelerates autonomous driving by providing access to the data collected by our fleet of autonomous and non-autonomous vehicles, and provides the core technology to mine interesting and rare events out of the petabytes of data we collect. Efficient, targeted and cost-effective access to data at scale is key to tackle the hardest problems in AD/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world driving situations. We are a distributed team, working in the UK, US and JP.

WHO ARE WE LOOKING FOR?

The Cloud and Data Engineering team is looking for data scientists who are passionate about enabling the next generation of automotive software development. Our data science engineers employ statistical modelling and measurement frameworks to model the distribution of road events in the real world, and inform our long-term validation and ML training data strategy. They embed within our engineering teams to help solve domain specific data challenges, such as developing evaluation frameworks for AD/ADAS deployment readiness and the fidelity of simulation. The right candidate will have excellent communication skills, experience in using statistical methods in an applied setting and in developing metrics and evaluation frameworks, as well as familiarity with Machine Learning systems.

RESPONSIBILITIES

    • Use statistical modeling to shape the our data strategy for data acquisition (real and synthetic), validation and ML training
    • Develop metrics and frameworks to understand the distribution and diversity of data
    • Tackle ambiguous problems using data-driven analysis, and provide actionable insights to inform decision making and demonstrate business impact
    • Communicate findings on complex technical topics to stakeholders across engineering leadership and product
    • Embed with engineering teams to understand and provide data-driven recommendations on their domain-specific challenges
    • Drive the adoption of best practices in data science across the organisation, lead other data science engineers

MINIMUM QUALIFICATIONS

    • Industry experience using Python for data science (e.g. numpy, scipy, scikit, pandas, etc.) and SQL or other languages for relational databases.
    • Experience with a cloud platform such as (AWS, GCP, Azure etc.)
    • Experience with common data science tools; statistical analysis, mathematical modelling etc.
    • Experience in developing analytical frameworks to facilitate data-driven decision making in the face of high ambiguity
    • A track record of building relationships with engineering and product leadership, and influencing strategic business decisions
    • Ability to communicate concepts clearly and precisely to technical and non technical stakeholders
    • Experience working in a cross-functional environment

NICE TO HAVES

    • Experience in working in a production ML environment
    • Experience working with geographically distributed teams
    • Previous experience in the AD/ADAS domain or adjacent fields (e.g. robotics)
    • Experience with temporal data and/or robotics sensor data.

WHAT WE OFFER

We are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.

Excellent health, wellness, dental and vision coverage

A rewarding pension

Flexible vacation policy

Family planning and care benefits

Our Commitment

• We are an equal opportunity employer and value diversity.

• Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Senior Data Scientist - Consumer Lending

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Machine‑Learning Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With deep‑learning projects now integral across healthcare, finance and tech, UK demand for machine‑learning talent is booming. Lightcast shows +50 % YoY growth in UK adverts referencing “machine learning,” “deep learning,” “computer vision” or “reinforcement learning” in Q1 2025. Monthly vacancies sit around 1,800–2,100, but certified ML specialists number fewer than 15,000. Specialist recruiters help candidates access hidden roles, competitive packages, and structured interview prep. How we screened: Only UK‑registered agencies with clear ML/AI or Data practices Agencies that posted ≥ 5 UK ML roles between March and June 2025

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.