Jobs · Engineering · Montana

DATA SCIENTIST

Swansea University / Prifysgol Abertawe · Medicine Lake, MT · 1 wk ago
EngineeringFull-time

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.

Responsibilities

  • Design, build, and maintain synthetic data pipelines and datasets.
  • Demonstrate the practical application of synthetic data within TREs through case studies that highlight the utility of synthetic data in different use cases.
  • Work with the UK Synthetic Data Community Group project to help further governance frameworks, best practice standards, and shared tools for synthetic data.
  • Collaborate with colleagues to create workshop materials, training resources and guides to enable the wider uptake of synthetic data across the data research community.
  • Disseminate research findings, produce technical reports, and showcase outcomes with stakeholders and the wider scientific community.
  • Work closely with partners and wider projects to build robust synthetic data tools, datasets, and pipelines that enable secure, federated research.

Requirements

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.

Qualifications

The successful candidate will have a relevant degree and/or professional experience in a related field such as computer science, statistics, or data science. Experience in synthetic data generation, data pipeline development, and working with large-scale data sets is highly desirable.

Skills

  • Strong programming skills in Python, R, or similar languages.
  • Experience with data visualization tools such as Tableau or PowerBI.
  • Knowledge of data privacy and security principles.
  • Excellent communication and collaboration skills.

Benefits

The University offers a range of benefits including:

  • Competitive salary of £34,132 to £38,249 per annum.
  • Flexible working arrangements.
  • Access to a range of employee assistance programs.
  • Professional development opportunities.
  • Supportive and inclusive work environment.

Pay

The salary for this role is £34,132 to £38,249 per annum.

Schedule

This role is full-time and works on a standard 37.5-hour week.

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