<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>Data Scientist - Method Resourcing Solutions Ltd RSS Feed</title>
    <link>https://jobs.co.uk/job/data-scientist-method-resourcing-solutions-ltd--f2a2330e-ca21-4d29-a2d5-a9252b8de71a</link>
    <description>RSS feed for Data Scientist at Method Resourcing Solutions Ltd.</description>
    <language>en-gb</language>
    <lastBuildDate>Fri, 07 Aug 2026 19:43:42 GMT</lastBuildDate>
    <item>
      <title>Data Scientist - Method Resourcing Solutions Ltd</title>
      <link>https://jobs.co.uk/job/data-scientist-method-resourcing-solutions-ltd--f2a2330e-ca21-4d29-a2d5-a9252b8de71a</link>
      <guid>https://jobs.co.uk/job/data-scientist-method-resourcing-solutions-ltd--f2a2330e-ca21-4d29-a2d5-a9252b8de71a</guid>
      <pubDate>Fri, 07 Aug 2026 11:52:28 GMT</pubDate>
      <description>Location: York | Salary: 60000.00-60000.00 Annual | Type: Permanent | Data Scientist | Financial ServicesYork (2 days per week onsite)Salary Up to £70,000 + 15% Bonus + BenefitsBuild ML solutions that actually make it into production.We''re supporting a major financial services organisation as they build a brand-new enterprise Data Platform and MLOps capability. This is a rare opportunity to join at an early stage and play a key role in shaping how Data Science is delivered across the business.This isn''t a research-only environment. You''ll work on real business problems, build machine learning models that drive decision-making, and collaborate closely with engineering teams to see your work deployed and used at scale.What you''ll be doing:Partnering with stakeholders to turn business challenges into Data Science solutionsExploring, preparing and analysing large, complex datasetsBuilding, testing and evaluating machine learning modelsApplying techniques such as regression, classification, clustering and forecastingWriting clean, maintainable Python codeWorking alongside ML Engineers to deploy models into productionMonitoring model performance and identifying opportunities for improvementPresenting findings to both technical and non-technical audienc...</description>
      <category>Permanent</category>
    </item>
  </channel>
</rss>