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 adam@sr2rec.co.uk.
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