Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

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 working centrally across the business, partnering with various teams to develop and deploy ML and AI solutions that drive outcomes across our two-sided marketplace. You will translate ambiguous business problems into structured, production-ready solutions and own them end-to-end.

Responsibilities

• Lead data science initiatives from problem framing through to deployment, monitoring, and iteration, owning the full production lifecycle.
• Ensure solutions are robust, scalable, and performing in the real world.
• Design and build LLM-powered solutions for business value, such as document processing, intelligent search, and content understanding.
• Apply LLMs alongside classical ML, judging where each approach is most effective.
• Connect work directly to business outcomes, building models to improve marketing efficiency, pricing, or recommendation engines.
• Understand the business levers being pulled and design solutions accordingly.
• Move fast to test ideas before committing to full-scale development.
• Define rigorous success metrics, validate honestly, and know when to iterate or pivot.
• Work closely with stakeholders to understand problems deeply before proposing solutions.
• Translate findings into clear, actionable narratives for technical and non-technical audiences.
• Contribute to shared best practices, documentation, and ways of working.
• Drive continued adoption of AI capabilities for efficiencies and automation.

Requirements

• Strong track record of building, deploying, and maintaining ML models in Python in a production environment.
• Experience owning models after shipping and maintaining their health.
• Comfortable owning the end-to-end production lifecycle, including model training, versioning, monitoring, and experimentation, without a dedicated ML engineering team.
• Hands-on experience building LLM-powered solutions that deliver measurable business value.
• Understanding of how to apply, evaluate, and extend LLM tools, and awareness of their limitations.
• Think about business impact first, understanding how models connect to revenue, efficiency, or customer outcomes.
• Prioritize, scope, and communicate work based on business impact.
• Navigate the tooling landscape with clear judgment, knowing when to use classical ML, GenAI, or simpler solutions.
• Strong instincts for scalability, reliability, and explainability.
• Solid experience in a cloud ML environment (e.g., Vertex AI, SageMaker).
• Strong software engineering fundamentals, including version control, code reviews, unit testing, and familiarity with containerization.
• Proven ability to work with commercial, marketing, and product stakeholders.
• Translate business problems into well-scoped solutions and communicate outcomes clearly.
• Strong foundation in statistical evaluation and experiment design.
• Ability to define and defend success metrics, and identify and address model degradation.
• Desirable: Marketplace or two-sided platform experience, understanding of supply/demand dynamics and data science leverage in a marketplace.

Skills

• Python
• SQL
• TensorFlow
• Vertex AI
• Gemini API
• Claude API
• dbt
• Snowflake
• BigQuery
• Looker
• Docker
• GitHub
• Vertex AI Pipelines

Location

• Hybrid

Work Type

• Hybrid
• Full-time

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 annual leave after third year anniversary
• 35 days annual leave after tenth year anniversary
• 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 turned how people buy, sell, advertise, and lease cars on its head.
• We are one of the largest online car-changing destinations in Europe, growing over 50% last year with nearly £3bn worth of cars bought on site and £1.8bn of cars listed for sale.
• We acquired Autovia, creators of AutoExpress and Evo magazines, doubling our audience.
• Together, we have one of the biggest 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.