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Senior Data Scientist

carwow · London

New
Hybrid Senior 🇬🇧 English
Python SQL dbt Snowflake BigQuery Looker Docker GitHub Vertex AI Pipelines Kubeflow Gemini API Claude API

Job description

About the role

We’re looking for a Senior Data Scientist to join our award‑winning Data Science team at a pivotal moment. Carwow operates a two‑sided marketplace connecting car buyers and sellers, and data science is at the heart of making the marketplace smarter, faster and more valuable.

Key responsibilities

  • Lead end‑to‑end ML and AI delivery, from problem framing through deployment, monitoring and iteration.
  • Design and build LLM‑powered solutions for document processing, intelligent search and content understanding.
  • Develop models that directly impact commercial outcomes such as marketing efficiency, pricing signals and recommendation engines.
  • Prototype and experiment rapidly, defining success metrics and deciding when to scale or abandon ideas.
  • Partner cross‑functionally with Commercial, Marketing, Product, Finance, Engineering and Operations teams.
  • Contribute to standards, documentation and mentorship, raising the bar for the data science function.

Required profile

  • Commercial mindset with a focus on business impact and revenue, efficiency or customer outcomes.
  • Proven ability to work with commercial, marketing and product stakeholders and translate business problems into well‑scoped solutions.
  • Sound judgement on when to use classical ML, GenAI or simpler approaches, with an eye on scalability and explainability.
  • Bonus: experience in marketplace or two‑sided platform environments.

Required skills

  • Strong experience building, deploying and maintaining production ML models in Python.
  • Full‑lifecycle MLOps delivery (training, versioning, monitoring, champion‑challenger experiments).
  • Hands‑on expertise with LLMs and GenAI tools such as Gemini API and Claude API.
  • Proficiency with cloud data platforms and tools: dbt, Snowflake, BigQuery, Looker.
  • Software engineering practices including Docker, GitHub and workflow orchestration (Vertex AI Pipelines, Kubeflow).

What we offer

  • Hybrid working and competitive salary.
  • Matched pension contributions, share options and private healthcare.
  • Generous holiday allowance (28 days plus additional days for anniversaries) and home‑office allowance.
  • Learning and development budget, monthly coaching and regular social events.

Questions fréquentes

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Source : ats:ashby

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Published 6 hours ago

Expires 1 month from now

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carwow

London