Data Scientist

Location: Swansea, UK (Hybrid – on site 3 days per week)

Contract: Full-time, Permanent

Salary: £45,000 - £55,000

Are you a data-driven problem solver who thrives on turning complex information into actionable insight? We’re seeking a Data Scientist to join a growing, research-focused organisation developing innovative predictive models to assess and manage risk.

This is a fantastic opportunity to work on cutting-edge projects where your analytical and machine learning expertise will directly influence high-impact decision‑making tools.

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• Design, train, and validate machine learning models to predict and quantify risk using diverse, high-volume datasets.
  
• Work closely with data engineers and domain specialists to prepare, clean, and analyse structured and unstructured data.
  
• Apply advanced statistical, machine learning, and deep learning techniques to extract insights and improve predictive accuracy.
  
• Present findings and model outputs clearly to technical and non-technical audiences.
  
• Contribute to the ongoing development of ML workflows, tools, and best practices within the team.
  

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• MSc or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  
• Proven experience building and deploying predictive models using Python and libraries such as scikit-learn, TensorFlow, PyTorch, etc
  
• Excellent problem-solving skills and attention to detail.
  
• Effective communicator with the ability to collaborate across disciplines.
  
• Comfortable working on site in Cardiff three days per week as part of a dynamic, collaborative team.
  

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• Play a key role in developing innovative data-driven solutions that address real-world challenges.
  
• Be part of an ambitious, supportive, and multidisciplinary environment where innovation is encouraged.
  
• Competitive salary and flexible working arrangements (hybrid model).
  
• Opportunities for professional growth and contribution to impactful research.
  

If this role could be of interest to you, please feel free to apply directly, or reach out to me on