At a Glance
- Tasks: Support the development of synthetic data tools and pipelines for secure research.
- Company: Join a leading university committed to equality and diversity.
- Benefits: Flexible working, professional development, and a supportive environment.
- Other info: Collaborate with experts and contribute to the scientific community.
- Why this job: Make a real impact in data research while shaping national standards.
- Qualifications: Experience in data science and a passion for innovative research.
The predicted salary is between 40000 - 50000 £ per year.
About The Role
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.
- Pipeline Development: Design, build, and maintain synthetic data pipelines and datasets.
- Demonstrating Real-World Value: Showcase the practical application of synthetic data within TREs through case studies that highlight its utility in different use cases.
- Shaping National Standards: Work with the UK Synthetic Data Community Group to further governance frameworks, best practice standards, and shared tools for synthetic data.
- Coordinating Workshop Materials: Create training resources and guides to enable the wider uptake of synthetic data across the data research community.
- Disseminating Findings: Write up research findings, produce technical reports, and showcase outcomes with stakeholders and the wider scientific community.
- Project Collaboration: Work 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.
Applications are welcome in Welsh and will not be treated less favourably than those submitted in English.
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.
Welsh speakers have the right to an interview in Welsh.
- Informal Enquiries
- Lewis Hotchkiss lewis. hotchkiss@chi. swan. ac. uk
- Emma Squires emma@chi. swan. ac. uk
- #J-18808-Ljbffr
Data Scientist in Swansea employer: Swansea University
Swansea University is an exceptional employer, offering a vibrant and inclusive work culture that prioritises employee well-being and professional growth. With its stunning waterfront campus and commitment to research-led education, the university provides enriching career opportunities in a collaborative environment, making it an ideal place for those passionate about ecology and making a positive impact on the planet.
