At a Glance
- Tasks: Develop synthetic data pipelines and showcase their real-world applications through case studies.
- Company: Swansea University, a leading institution committed to equality and diversity.
- Benefits: Inclusive workplace, opportunities for professional growth, and support for Welsh language skills.
- Other info: Join a dynamic team dedicated to shaping national standards in synthetic data.
- Why this job: Make a real impact in data research while collaborating with the UK Synthetic Data Community.
- Qualifications: Experience in data science and a passion for innovative research.
The predicted salary is between 30000 - 40000 Β£ per year.
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:
- Pipeline Development: Design, build, and maintain synthetic data pipelines and datasets.
- 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.
- 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.
- Coordinating with colleagues: Create workshop materials, training resources and guides to enable the wider uptake of synthetic data across the data research community.
- Disseminating Findings: Writing up research findings, producing technical reports, and showcasing outcomes with stakeholders and the wider scientific community.
- Working closely with partners and wider projects to build robust synthetic data tools, datasets, and pipelines that enable secure, federated research.
Equality, Diversity & Inclusion: The University is committed to supporting and promoting equality and diversity in all its practices and activities. We aim to establish an inclusive environment and welcome diverse applications from the following protected characteristics: age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race (including colour, nationality, ethnic and national origin), religion or belief, sex, sexual orientation. As an inclusive and welcoming workplace, we value people for their skills regardless of their background.
Welsh Language Skills: The Welsh language level required for this role is Level 1 - A little. The role holder will be able to pronounce Welsh words, answer the phone in Welsh (good morning/afternoon) and use very basic everyday words and phrases (thank you, please etc.). Level 1 can be reached by completing a 1 hour course. The University is a proud bilingual institution, our Welsh Language Strategy outlines our aspiration to promote the language and enable our staff to engage with the language as an additional workplace skill and as a gateway to new cultural and social opportunities. Applications are welcome in Welsh and will not be treated less favourably than those submitted in English. Welsh speakers have the right to an interview in Welsh. Applicants for a role where Welsh skills are essential are expected to present their application in Welsh and will be interviewed in Welsh, if shortlisted.
Data Scientist employer: Swansea University
Swansea University is an exceptional employer that fosters a collaborative and inclusive work culture, particularly for those in the Data Scientist role. With a strong commitment to equality, diversity, and employee growth, the university offers unique opportunities to engage with cutting-edge research in synthetic data while contributing to national standards and governance frameworks. Located in a vibrant academic community, employees benefit from access to extensive resources, professional development, and the chance to make a meaningful impact in the scientific community.