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Data Scientist

SR2 | Socially Responsible Recruitment | Certified B Corporation
Cardiff
5 days ago
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Data Scientist

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


Contract: Full-time, Permanent


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.


What You’ll Do

  • 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.

About You

  • 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.

Why Join Them?

  • 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 .


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