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    <title>Data Scientist / Statistician Model Developer - Capital One RSS Feed</title>
    <link>https://jobs.co.uk/job/data-scientist-statistician-model-developer-capital-one--64e1c73c-0221-4754-b28b-ad9a2cfe1961</link>
    <description>RSS feed for Data Scientist / Statistician Model Developer at Capital One.</description>
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    <lastBuildDate>Tue, 26 May 2026 16:48:39 GMT</lastBuildDate>
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      <title>Data Scientist / Statistician Model Developer - Capital One</title>
      <link>https://jobs.co.uk/job/data-scientist-statistician-model-developer-capital-one--64e1c73c-0221-4754-b28b-ad9a2cfe1961</link>
      <guid>https://jobs.co.uk/job/data-scientist-statistician-model-developer-capital-one--64e1c73c-0221-4754-b28b-ad9a2cfe1961</guid>
      <pubDate>Tue, 26 May 2026 11:51:29 GMT</pubDate>
      <description>Location: Derby | Salary: 10000-500000 Annual | Type: Permanent | Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Data Scientist / Statistician (Model Developer) About this roleOur Data Science team focuses on the development of machine learning and AI solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to make sense of complex data, working in close collaboration with our business partners. This role will primarily focus on feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting.  We are interested in candidates who have experience working with Open Banking or Credit Bureau data. A deep grounding in statistics and experience of Model Risk Management is also welcomed.  What you''ll do   Develop and maintain the machine learning models which define our competitive advantage in the financial services market.  Explore and evaluate data, using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation.  Analyse tabular and non-tabular data, such as text, logs, or time ...</description>
      <category>Permanent</category>
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