Synthetic Data Scientist: Build Pipelines & Shape Standards

Synthetic Data Scientist: Build Pipelines & Shape Standards

Full-Time 35000 - 45000 Β£ / year (est.) No working from home possible
Swansea University

At a Glance

  • Tasks: Design synthetic data pipelines and showcase their applications in research.
  • Company: Swansea University, a leader in innovative research and inclusivity.
  • Benefits: Supportive environment promoting equality, diversity, and professional growth.
  • Other info: Join a vibrant community dedicated to advancing synthetic data standards.
  • Why this job: Make a real impact in the evolving field of synthetic data.
  • Qualifications: Strong analytical skills and collaborative mindset; Welsh proficiency is a plus.

The predicted salary is between 35000 - 45000 Β£ per year.

Swansea University is seeking a Data Scientist to demonstrate the value of synthetic data within research. Key responsibilities include designing synthetic data pipelines, showcasing their use in various applications, and contributing to the UK Synthetic Data Community Group's governance efforts.

The ideal candidate will possess strong analytical and collaborative skills, with a basic proficiency in Welsh being an advantage. This role promotes equality and diversity and encourages applications from all backgrounds.

Synthetic Data Scientist: Build Pipelines & Shape Standards employer: Swansea University

Swansea University is an excellent employer, offering a vibrant work culture that values collaboration and innovation in the field of data science. With a strong commitment to equality and diversity, the university provides ample opportunities for professional growth and development, making it an ideal place for those looking to make a meaningful impact in research while enjoying the beautiful surroundings of Swansea.

Swansea University

Contact Details:

Swansea University Recruitment Team

We think you need these skills to ace Synthetic Data Scientist: Build Pipelines & Shape Standards

Python
SQL
Problem-Solving Skills
Communication Skills
Data Engineering
Automation
Data Pipeline Development