Data Scientist

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This range is provided by University of Sydney. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

A$108,557.00/yr - A$108,557.00/yr

• Full time fixed term role until 11th of May 2026 - Secondment backfill
  
• Exciting opportunity to leverage data science skills and research experience to inform world class research at the University of Sydney
  
• Base Salary $108,557 + 17% superannuation
  

About the opportunity



As a Data Scientist at the Sydney Informatics Hub (SIH) you will support research across all faculties of the University through a professional data science and AI consulting service model of project delivery. You will leverage your experience to apply, advise in the use of, develop and implement data science algorithms and machine learning methods, software tools and data engineering foundations to support research outcomes in science, engineering, health, architecture, law, business and the humanities and arts.



Your key responsibilities will be to:

• work in a dynamic and collaborative team reporting to the Data Science Group Lead
  
• provide data science support for research projects across the university, involving guidance on and and technical contributions to project design, data extraction and cleaning, modelling, visualization and reporting of results, including as part of academic manuscripts and grant applications
  
• manage the delivery of data science, analytics and AI projects
  
• support digital skills uplift in the university research communities, including by contributing to the delivery of SIH's training program under the guidance of the Data Science Trainer
  
• work collaboratively with other parts of Sydney Informatics Hub to build and develop an engineering and entrepreneurial culture in the support of data science across the university.
  

About you

• master's degree or above in a quantitative discipline coupled with relevant experience; PhD preferred
  
• experience in the application of data science, statistical modelling, and machine learning technologies to a variety of complex data sets
  
• working knowledge of modern data-centric programming languages including Python/R and Unix, and data management and version control tools such as git
  
• demonstrated experience in eliciting user requirements through consultation and problem solving to design solutions that meet time constraints
  
• excellent interpersonal, verbal and written communication skills with sound negotiating and conflict resolution skills
  
• good entrepreneurial spirit, showing a willingness and enthusiasm to take SIH results to a wider community.
  

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.



Sponsorship / work rights for Australia



Please note: Visa sponsorship is not available for this position. This role requires valid work rights for Australia.





Pre-employment checks



Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.





EEO statement



At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds.



How to apply



Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.



For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.



For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Kale Claffey Recruitment Operations by email to



The University of Sydney



The University reserves the right not to proceed with any appointment.



Click to view the Position Description for
this role.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Education, Research, and Science

• Industries

  Higher Education

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