Senior Data Scientist

Carwow.es

Senior Data Scientist developing ML and AI solutions for car marketplace. Collaborating with cross-functional teams on varied data science initiatives and commercial outcomes.

Posted 7/9/2026full-timeLondon • 🇬🇧 United KingdomSeniorWebsite

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

End-to-End ML & AI Ownership: Lead data science initiatives from problem framing through to deployment, monitoring, and iteration — owning the full production lifecycle. With no dedicated ML engineering function, you'll be responsible for ensuring your solutions are robust, scalable, and performing in the real world long after they ship.
GenAI & LLM Application: Design and build LLM-powered solutions where they create genuine business value — document processing, intelligent search, content understanding, and beyond. Apply them alongside classical ML with clear judgement about where each approach earns its place.
Commercial Impact: Connect your work directly to business outcomes. Whether you're building a model to improve marketing efficiency, a pricing signal to sharpen commercial decisions, or a recommendation engine to increase conversion — you understand the business lever you're pulling and design your solutions accordingly.
Prototyping & Experimentation: Move fast to test ideas before committing to full-scale development. Define rigorous success metrics upfront, validate honestly, and know when to double down and when to walk away.
Cross-Functional Partnership: Work closely with Commercial, Marketing, Product, Finance, Engineering and Operations stakeholders to understand problems deeply before reaching for a solution. Translate findings into clear, actionable narratives for both technical and non-technical audiences.
Standards & Craft: Contribute to shared best practices, documentation, and ways of working that raise the bar for the data science function — and help more junior team members grow alongside you. Drive continued adoption of AI capabilities to drive efficiencies, automation and constantly leverage new capabilities.

Requirements

What you’ll need

Proven ML Experience: A strong track record of building, deploying, and maintaining ML models in Python in a production environment — not just notebooks. You've owned models after they ship and know how to keep them healthy.
Full-Lifecycle Ownership (MLOps): Comfortably owning the end-to-end production lifecycle — model training, versioning, monitoring, and champion/challenger experimentation — without relying on a dedicated ML engineering team to carry that responsibility.
GenAI & LLM Expertise: Hands-on experience building LLM-powered solutions that deliver measurable business value. You understand how to apply, evaluate, and extend these tools — and you're honest about where they fall short.
Commercial Mindset: You think about business impact first. You understand how your models connect to revenue, efficiency, or customer outcomes — and you use that to prioritise, scope, and communicate your work.
Sound Judgement: You navigate the tooling landscape with clear eyes — knowing when classical ML is right, when GenAI unlocks something new, and when a simpler solution is the more honest answer. Strong instincts for scalability, reliability, and explainability.
Technical Depth: Solid experience in a cloud ML environment (e.g. Vertex AI, SageMaker) with strong software engineering fundamentals — version control, code reviews, unit testing, and familiarity with containerisation.
Stakeholder Partnership: Proven ability to work with commercial, marketing, and product stakeholders — translating business problems into well-scoped solutions and communicating outcomes clearly at all levels.
Quantitative Rigour: Strong foundation in statistical evaluation and experiment design. You can define and defend success metrics, and you know when a model is degrading and what to do about it.

Benefits

Comp & perks

Hybrid working
Competitive salary to fund that dream holiday to Bali
Matched pension contributions for a peaceful retirement
Share options - when we thrive, so do you!
Vitality Private Healthcare, for peace of mind, plus eyecare vouchers
Life Assurance for (even more) peace of mind
Monthly coaching sessions with Spill - our mental wellbeing partner
Enhanced holiday package, plus Bank Holidays
28 days annual leave
1 day for your wedding
1 day off when you move house - because moving is hard enough without work!
For your third year anniversary, get 30 days of annual leave per year
For your tenth year anniversary, get 35 days of annual leave per year
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 and pregnancy loss policies
Bubble childcare support and discounted nanny fees for little ones
The latest tech (Macbook or Surface) to power your gif-sending talents
Up to £500/€550 home office allowance for that massage chair you’ve been talking about
Generous learning and development budget to help you master your craft
Regular social events: tech lunches, coffee with the exec sessions, lunch 8 learns, book clubs, social events/anything else you pester us for
Refer a friend, get paid. Repeat for infinite money

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Machine LearningPythonModel DeploymentStatistical EvaluationExperiment DesignVersion ControlUnit TestingContainerizationMLOpsLLM Application Development

Soft Skills

Stakeholder PartnershipSound JudgementClear Communication