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    <title>Data Scientist/Graph Data Engineer - Data Scientist/Graph Data Engineer £400 per day - Boost Talent RSS Feed</title>
    <link>https://jobs.co.uk/job/data-scientistgraph-data-engineer-data-scientistgraph-data-engineer-400-per-day-boost-talent--794adb0d-246b-434c-9533-e3933f4d50eb</link>
    <description>RSS feed for Data Scientist/Graph Data Engineer - Data Scientist/Graph Data Engineer £400 per day at Boost Talent.</description>
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    <lastBuildDate>Wed, 26 Aug 2026 15:45:46 GMT</lastBuildDate>
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      <title>Data Scientist/Graph Data Engineer - Data Scientist/Graph Data Engineer £400 per day - Boost Talent</title>
      <link>https://jobs.co.uk/job/data-scientistgraph-data-engineer-data-scientistgraph-data-engineer-400-per-day-boost-talent--794adb0d-246b-434c-9533-e3933f4d50eb</link>
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      <pubDate>Wed, 26 Aug 2026 11:53:45 GMT</pubDate>
      <description>Location: London | Salary: 400.00-400.00 Daily | Type: Contract | Data Scientist/Graph Data Engineer £400 per day | Inside IR35 | Active SC Clearance Required We are seeking an experienced Data Scientist/Data Engineer with strong expertise in graph data, entity resolution and Python development to join a high-profile public sector programme. This role sits at the intersection of data science, data engineering and data modelling, working with large, complex datasets to identify relationships and connections between entities. You will play a key role in developing solutions that enable accurate matching, linkage and analysis of data across multiple sources. Key Responsibilities  Design, develop and maintain Python-based data solutions. Model and analyse complex relationships using graph-based approaches. Build and optimise graph database solutions, particularly using Neo4j. Develop entity resolution and record linkage capabilities across disparate datasets. Design scalable data models that accurately represent real-world entities and relationships. Implement robust testing, validation and quality assurance processes. Contribute to CI/CD pipelines and automated deployment practices. Ensure adherence to data governance, security, compliance and risk ...</description>
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