Senior Data Scientist

About This Opportunity

We are representing a leading European automotive marketplace platform in their search for a Senior Data Scientist based in London. Our client operates a sophisticated two-sided marketplace connecting buyers and sellers at scale, and data science sits at the heart of their commercial and product strategy.

This is a high-impact, hands-on role working centrally across the business. You'll partner with Commercial, Marketing, Product, Finance, Engineering and Operations teams to develop and deploy ML and AI solutions that drive measurable outcomes across the marketplace.

Responsibilities

You will lead data science initiatives from problem framing through to deployment, monitoring, and iteration—delivering the full production lifecycle. With no dedicated ML engineering function, you'll ensure your solutions are robust, scalable, and performing in production long after they ship.

• Design and build LLM-powered solutions where they create genuine business value—document processing, intelligent search, content understanding, and operational automation
• Develop pricing models, propensity and demand signals, personalised recommendations for web products and CRM systems
• Connect your work directly to business outcomes—improving marketing efficiency, sharpening commercial decisions, increasing conversion rates
• Move fast to test ideas before committing to full-scale development, defining rigorous success metrics and validating honestly
• Work closely with cross-functional stakeholders to understand problems deeply, translating findings into clear narratives for technical and non-technical audiences
• Contribute to shared best practices, documentation, and ways of working that raise the bar for the data science function

What We're Looking For

Commercial and Stakeholder Skills:

• Commercial mindset with focus on business impact—understanding how models connect to revenue, efficiency, or customer outcomes
• Proven ability to work with commercial, marketing, and product stakeholders, translating business problems into well-scoped solutions
• Sound judgement navigating the tooling landscape—knowing when classical ML is right, when GenAI unlocks something new, and when simpler solutions are better
• Bonus: Experience with marketplace or two-sided platform dynamics

Technical Requirements:

• Strong track record building, deploying, and maintaining ML models in Python in production environments—not just notebooks
• Full-lifecycle delivery capability including model training, versioning, monitoring, and champion/challenger experimentation
• Hands-on experience building LLM-powered solutions that deliver measurable business value
• Solid experience in cloud ML environments with software engineering principles—version control, code reviews, unit testing, containerisation
• Strong foundation in statistical evaluation and experiment design

Tools and Technologies:

• Languages: Python, SQL
• Data platforms: dbt, Snowflake, BigQuery, Looker
• Engineering: Docker, GitHub
• MLOps: Vertex AI Pipelines (GCP), Kubeflow
• LLMs: Gemini API, Claude API

How We Work With You

Our talent team at Get A Job.ai partners with exceptional organisations to connect them with senior data science professionals. When you apply through our platform, a dedicated recruiter will screen your background and experience. If there's a strong match, we'll prepare and submit your profile to our client for consideration.

Interview Process:

• Initial screening call with the client's People Team (30 minutes)
• Hiring Manager experience discussion (45 minutes)
• Technical task covering modelling and production, with presentation (60 minutes plus task completion)
• Values interview (45 minutes)

Please do not contact the client directly. All applications and communications should go through Get A Job.ai to ensure proper representation and coordination.

Benefits

Our client offers hybrid working in London, competitive salary, matched pension contributions, share options, private healthcare, life assurance, mental wellbeing support, generous holiday package starting at 28 days plus bank holidays (increasing with tenure), option to work abroad for a month, parental leave policies, up to £500 home office allowance, learning and development budget, and regular social events.

Pay

Compensation details will be discussed during the screening process based on your experience and the client's budget for this role.

Equal Opportunity: Get A Job.ai is committed to inclusive recruitment practices. We welcome candidates from all backgrounds and make hiring decisions based on experience, skills, and potential.