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Data Scientist

Harnham
greater london, england, united kingdom
2 months ago
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Data Scientist - Hybrid

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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Building Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI Revolution

Data Scientist - Property

London – Hybrid

Up to £65,000

About the Role

A leading London-based data and technology company in the property space is looking for a Data Scientist to join their growing product-focused team. This is an exciting opportunity to work as a full stack/ end to end Data Scientist, driving real business impact.

You’ll collaborate closely with stakeholders to build and deploy ML models and data-driven tools that are core to the company’s commercial offerings.

Key Responsibilities

  • Identify and scope opportunities where machine learning and data science can enhance product offerings.
  • Design and run experiments to test hypotheses and support product development.
  • Develop robust data pipelines to support science experimentation and production.
  • Deploy, maintain, and monitor predictive models in live environments.
  • Communicate findings and technical concepts clearly to both technical and non-technical audiences.
  • Contribute to agile delivery workflows and cross-functional collaboration.

What We’re Looking For

  • Solid understanding of core data science techniques, including statistical analysis and machine learning.
  • Proficiency in Python.
  • Experience in working with structured and unstructured data, data cleaning, and transformation.
  • Familiarity with model evaluation, performance metrics, and model deployment best practices.
  • A collaborative mindset with the ability to explain technical topics to diverse stakeholders.
  • Familiarity with dashboarding tools and reporting.

If this role looks of interest, please apply here.

Please note, that this role cannot offer sponsorship at this time.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionAnalyst, Engineering, and Science

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