Data Scientist
| Posting date: | 22 May 2026 |
|---|---|
| Salary: | £34,132 to £38,249 per year |
| Additional salary information: | together with USS pension benefits |
| Hours: | Full time |
| Closing date: | 21 June 2026 |
| Location: | Swansea, Wales |
| Remote working: | On-site only |
| Company: | Swansea University |
| Job type: | Contract |
| Job reference: | SU01581 |
Summary
The primary purpose of this role is to actively support the advancement of capabilities of the DPUK Data Portal by championing the development and application of synthetic data. You will work closely with our partners and the wider team to build robust synthetic data tools and pipelines that enable secure data research.
A key focus of this position is demonstrating the real-world value of synthetic data within data research and secure environments. As part of this wider impact, you will collaborate with the UK Synthetic Data Community Group project to help further governance, standards, and tools for synthetic data. You will also develop analytical case studies that highlight the utility of different types of synthetic data, work with colleagues to create workshop materials and resources, and assist in writing and disseminating research reports and findings to the wider scientific community.
Main purposes of the role include:
1. Pipeline Development: Design, build, and maintain synthetic data pipelines and datasets.
2. Demonstrating Real-World Value: Showcasing the practical application of synthetic data within TREs through case studies that highlight the utility of synthetic data in different use cases.
3. Shaping National Standards: Working with the UK Synthetic Data Community Group project to help further governance frameworks, best practice standards, and shared tools for synthetic data.
4. Coordinating with colleagues to create workshop materials, training resources and guides to enable the wider uptake of synthetic data across the data research community.
5. Disseminating Findings: Writing up research findings, producing technical reports, and showcasing outcomes with stakeholders and the wider scientific community.
6. Working closely with partners and wider projects to build robust synthetic data tools, datasets, and pipelines that enable secure, federated research.
A key focus of this position is demonstrating the real-world value of synthetic data within data research and secure environments. As part of this wider impact, you will collaborate with the UK Synthetic Data Community Group project to help further governance, standards, and tools for synthetic data. You will also develop analytical case studies that highlight the utility of different types of synthetic data, work with colleagues to create workshop materials and resources, and assist in writing and disseminating research reports and findings to the wider scientific community.
Main purposes of the role include:
1. Pipeline Development: Design, build, and maintain synthetic data pipelines and datasets.
2. Demonstrating Real-World Value: Showcasing the practical application of synthetic data within TREs through case studies that highlight the utility of synthetic data in different use cases.
3. Shaping National Standards: Working with the UK Synthetic Data Community Group project to help further governance frameworks, best practice standards, and shared tools for synthetic data.
4. Coordinating with colleagues to create workshop materials, training resources and guides to enable the wider uptake of synthetic data across the data research community.
5. Disseminating Findings: Writing up research findings, producing technical reports, and showcasing outcomes with stakeholders and the wider scientific community.
6. Working closely with partners and wider projects to build robust synthetic data tools, datasets, and pipelines that enable secure, federated research.