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Senior Data Scientist

CarwowLondonBusiness Operations
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Salary
Not listed
Job type
Full-time
Posted
15 Sept 2026
Status
Open · checked 7d ago

About this role

This Senior Data Scientist position at Carwow in London is a hands-on, high-ownership role focused on driving machine learning and AI solutions across a major two-sided automotive marketplace. It suits an experienced technical professional who thrives on partnering with cross-functional teams to translate complex business problems into production-ready deployments.

Role Overview

Carwow is seeking a Senior Data Scientist to join its award-winning Data Science team in London. Operating a prominent European online car marketplace, the company relies heavily on data science to make its platform smarter, faster, and more valuable for buyers and sellers alike. In this central role, the successful candidate will work across multiple departments including Commercial, Marketing, Product, Finance, Engineering, and Operations. Responsibilities range from pricing models and demand signals to recommendation engines and LLM-powered applications for document verification.

Key Responsibilities

Lead data science initiatives across the entire production lifecycle, spanning problem framing, deployment, monitoring, and ongoing iteration without a dedicated machine learning engineering team.
Design and construct LLM-driven solutions for document processing, intelligent search, and content understanding while exercising sound judgment regarding classical machine learning applications.
Connect technical models directly to commercial outcomes such as marketing efficiency, pricing signals, and conversion rates.
Prototype and test ideas rapidly by defining upfront success metrics and validating outcomes honestly.
Partner closely with stakeholders across diverse departments to translate business requirements into structured solutions.
Contribute to team best practices, documentation, and the professional growth of more junior colleagues.

Requirements

Strong commercial mindset with a focus on business impact, revenue, and customer outcomes.
Proven ability to partner with commercial, marketing, and product stakeholders to translate business challenges into well-scoped solutions.
Sound technical judgment regarding when to apply classical machine learning versus generative AI, maintaining a strong focus on scalability and reliability.
Proven machine learning experience with a strong track record of building, deploying, and maintaining models in Python within a production environment.
Full-lifecycle delivery expertise including model training, versioning, monitoring, and experimentation.
Hands-on experience building generative AI and large language model solutions that deliver measurable value.
Strong foundation in statistical evaluation, experiment design, and quantitative rigor.

Nice to Have

Experience working within a marketplace or two-sided platform context.
Familiarity with Vertex AI.

Skills and Tools

Languages: Python, SQL
Data and Transformation: dbt, Snowflake, BigQuery
Visualization and BI: Looker
Engineering and MLOps: Docker, GitHub
Workflow and Orchestration: Vertex AI Pipelines, Kubeflow
LLMs and GenAI: Gemini API, Claude API

Salary and Benefits

Competitive salary package
Matched pension contributions
Share options
Vitality Private Healthcare and eyecare vouchers
Life assurance
Monthly coaching sessions with Spill for mental wellbeing
Enhanced holiday package offering 28 days of annual leave plus bank holidays, scaling up to 30 days for three years of service and 35 days for ten years of service
Additional leave for weddings and house moves, plus the option to purchase three extra holiday days per year
Ability to work from abroad for one month
Inclusive parental, partner, shared parental leave, fertility treatment, and pregnancy loss policies
Bubble childcare support and discounted nanny fees
Latest tech equipment including a Macbook or Surface
Up to £500 home office allowance
Generous learning and development budget
Regular social events, tech lunches, and a refer-a-friend scheme

About the Company

Carwow is a major online automotive destination operating across Europe, combining technology, media, and deep automotive expertise to reshape how people buy, sell, lease, and advertise cars. Following significant growth and the acquisition of Autovia, the company boasts a massive audience reach across web content, print magazines, and a leading global YouTube channel.

How to Apply

Candidates should apply directly on the official Carwow careers page with their application details.

Skills and tech stack

PythonLLMLLMsDockerGCPSQLMLOps

Questions candidates ask

What are the core programming languages required for this role?

Python and SQL are the primary programming languages required for the Senior Data Scientist position.

Is this a remote position?

No, this position is based in London with hybrid working arrangements.

What does the interview process involve?

The interview process includes a People Team screening call, a hiring manager interview focusing on experience, a technical task covering modeling and production with a presentation, and a values interview.

What tools and technologies are used in the data stack?

The tech stack includes dbt, Snowflake, BigQuery, Looker, Docker, GitHub, Vertex AI Pipelines, Kubeflow, Gemini API, and Claude API.

How much annual leave is provided initially?

Employees start with 28 days of annual leave plus bank holidays, along with additional days for specific life events like moving house or getting married.

Ready to apply?

The application is on the official Carwow careers page.

Apply on company site