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360 Resourcing Solutions Logo 360 Resourcing Solutions · IT - Software Development

Data Science Visualisation Intern

United Kingdom, Oxford 24800.00 GBP / Year · Job Posted April 20, 2026
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Job Description

Are you passionate about data science, medical imaging, and turning complex data into impactful visual stories? We’re looking for a Data Science & Visualisation Intern to join our team in Oxford for a 12 month fixed term internship. This is a unique opportunity to work at the intersection of machine learning, biomedical imaging, and visualisation, helping to transform complex clinical data into compelling, real-world applications. You’ll gain hands-on experience with real-world data, cloud technologies, and advanced algorithms while contributing to meaningful healthcare innovation.

Job Responsibility

  • Research and develop machine learning methods for medical image analysis
  • Analyse large datasets using cloud platforms (e.g. AWS)
  • Support development and validation of data science prototypes
  • Collaborate with Imaging Science, Clinical, and Product teams
  • Produce technical reports and algorithm documentation
  • Stay up to date with advancements in machine learning and imaging
  • Automate pipelines to generate marketing-ready medical visualisations
  • Work with imaging experts to ensure anatomical accuracy and correct clinical messaging
  • Support development of tools enabling non-technical teams to access visual assets
  • Help improve speed and efficiency of delivering assets for time-sensitive external meetings

Requirements

  • Studying towards a STEM degree (e.g. Data Science, Bioengineering, Physics, Computer Science)
  • Strong interest in machine learning, medical imaging, or applied data science
  • Solid mathematical foundation and analytical mindset
  • Experience with coding (e.g. Python, MATLAB)
  • Excellent attention to detail and problem-solving skills
  • Strong communication skills with both technical and non-technical stakeholders
  • Self-motivated and able to work independently and collaboratively

Nice to have

  • Familiar with machine learning techniques or deep learning and have exposure to medical imaging or biomedical applications
  • Experience with Linux/Unix environments
  • Familiarity with cloud platforms such as AWS, Azure, GCP
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