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• Starts Jun 30

Year in Industry - Data Scientist

🚀 Off-cycle Internship


🤑 £18.5K

AI generated summary

  • You: Enrolled in STEM degree with coding experience, passion for machine learning and design, curiosity to learn, collaborate, and solve problems effectively.
  • You will tackle real-world challenges using cutting-edge tech like statistical methods, machine learning, and cloud computing. Work on exciting projects in AI, complex data analysis, and Bayesian modelling, while learning from industry experts in a supportive and inclusive environment.

Off-cycle Internship



  • We are Malvern Panalytical, a global leader in analytical technology, empowering scientists and engineers across industries to unlock the secrets of materials at the nano level.  Our cutting-edge instruments, from particle characterization to X-ray analysis, help customers develop better products, optimize processes, and solve complex challenges. We're driven by innovation, collaboration, and making a real difference in the world. 


  • Currently enrolled in a STEM degree (Physics, Math, Data Science, Programming) that offers an Industrial Placement Year
  • Right to work and live in the UK for the duration of the placement.
  • Passion for STEM, and an interest in machine learning
  • Some experience in coding in Python and/or Matlab
  • Creative thinking – design will be at the heart of this work.
  • An interest in understanding customer needs and communicating results.
  • Curiosity and desire to learn – the projects are interdisciplinary
  • A scientific approach to problem solving.
  • Strong collaboration and communication skills

Education requirements

Currently Studying

Area of Responsibilities



  • Are you a STEM student passionate about data science and making an impact? Join our vibrant R&D team in Bristol and:
  • Tackle real-world challenges using cutting-edge tech (statistical methods, machine learning, cloud computing)
  • Develop your skills on exciting projects like AI-powered particle image analysis, complex mixture data analysis, and Bayesian modelling for scientific instruments.
  • Learn from the best in a collaborative environment with access to industry-standard tools and libraries.
  • Make a difference by contributing to impactful projects and inspiring future generations as a STEM ambassador.
  • Experience a supportive and inclusive culture with flexible work options (hybrid model available)


Work type

Full time

Work mode


Start date

Jun 30, 2024




18525 GBP