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About the Role

We are seeking a Senior Data Scientist to join our award-winning Data Science team. This is a hands-on, high-ownership role where you will partner with various business teams to develop and deploy ML and AI solutions that enhance our two-sided marketplace. You will translate ambiguous business problems into production-ready solutions, delivering them end-to-end.

Responsibilities

• Lead data science initiatives from problem framing through to deployment, monitoring, and iteration, ensuring robust, scalable, and performing solutions.
• Design and build LLM-powered solutions for business value, applying them alongside classical ML.
• Connect work directly to business outcomes, building models to improve marketing efficiency, pricing, or recommendation engines.
• Move fast to test ideas, define success metrics, validate honestly, and iterate.
• Partner with Commercial, Marketing, Product, Finance, Engineering, and Operations stakeholders to understand problems and communicate findings.
• Contribute to shared best practices, documentation, and ways of working to raise the bar for the data science function.
• Drive continued adoption of AI capabilities for efficiencies and automation.

Requirements

• Commercial Mindset: Prioritize business impact and understand how models connect to revenue, efficiency, or customer outcomes.
• Stakeholder Partnership: Proven ability to work with commercial, marketing, and product stakeholders, translating business problems into solutions and communicating technical details clearly.
• Sound Judgement: Navigate the tooling landscape with clear eyes, knowing when classical ML, GenAI, or simpler solutions are appropriate. Strong instincts for scalability, reliability, and explainability.
• Marketplace or Two-Sided Platform Experience: Understanding of supply/demand dynamics and how data science creates leverage in a marketplace context.
• Proven ML Experience: Strong track record of building, deploying, and maintaining ML models in Python in a production environment.
• Full-Lifecycle Delivery (MLOps): Comfortable delivering the end-to-end production lifecycle without relying on a dedicated ML engineering team.
• GenAI & LLM Expertise: Hands-on experience building LLM-powered solutions that deliver measurable business value.
• Technical Depth: Solid experience in a cloud ML environment with software engineering principles (version control, code reviews, unit testing, containerisation).
• Quantitative Rigour: Strong foundation in statistical evaluation and experiment design, with the ability to define and defend success metrics.

Skills

• Python
• SQL
• dbt
• Snowflake
• BigQuery
• Looker
• Docker
• GitHub
• Vertex AI Pipelines (GCP)
• Kubeflow
• Gemini API
• Claude API

Location

• Hybrid

Work Type

• Hybrid working

Experience Level

• Senior

Salary/Compensations

• Competitive salary

Benefits

• Hybrid working
• Competitive salary
• Matched pension contributions
• Share options
• Vitality Private Healthcare
• Eyecare vouchers
• Life Assurance
• Monthly coaching sessions with Spill
• Enhanced holiday package
• 28 days annual leave
• 1 day for your wedding
• 1 day off when you move house
• 30 days of annual leave per year (after 3 years)
• 35 days of annual leave per year (after 10 years)
• Option to buy 3 extra days of holiday per year
• Work from abroad for a month
• Inclusive parental, partner and shared parental leave
• Fertility treatment policies
• Pregnancy loss policies
• Bubble childcare support
• Discounted nanny fees
• The latest tech (Macbook or Surface)
• Up to £500/€550 home office allowance
• Generous learning and development budget
• Regular social events

About the Company

• Our mission is to become the car-changing destination of choice by combining technology, media, and deep automotive expertise.
• We have grown over 50% year-on-year, with nearly £3bn worth of cars bought on site and £1.8bn of cars listed for sale.
• We acquired Autovia, doubling our audience and now have one of the largest YouTube channels globally with almost 10m subscribers and over 1.1 billion annual views.
• We sell 1.2 million print copies of our magazines and have an annual web content reach over 350 million.

Equal Opportunity

• Diversity and inclusion is an integral part of our culture. We know that diverse teams are strong teams, so we welcome those with alternative identities, backgrounds, and experiences to apply for this position. We make recruiting decisions based on experience, skills and potential, so all our applicants are treated fairly and equally.