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NewListed 2 days ago

Senior Data Scientist

Department of Industry

Mathematics, Statistics & Information Sciences
Location
Parramatta, NSW
Type
Full-time
Salary
$128k – $143k

About the role

Do you want your work to make a difference for NSW?
Working to the protect the state’s environment and heritage.

 

  • Internal expression of interest
  • Temporary, full-time opportunity (Up to June 2027) 35 hours per week
  • Parramatta location or other key science locations by negotiation, hybrid working supported
  • Salary relative to experience, and ranges from $128,052.00 to $142,649 + super

 

Our Restoration Science team is currently seeking to appoint a Senior Data Scientist to provide data analytics leadership and support to scientifically rigorous research and products underpinning the remake of the Biodiversity Assessment Method (BAM) and the NSW Government’s transition to a net positive Biodiversity Offset Scheme (BOS).

 

As a Senior Data Scientist, you'll provide technical leadership and analytical expertise to support biodiversity reform and environmental decision-making across NSW. A key focus of this role is supporting the development of a Restoration Risk Assessment, including leading and managing workflows that use large language models to undertake systematic reviews, quantitative data extraction, meta-analysis and data integration across multiple ecosystems. You'll work closely with scientists, technical specialists and subject matter experts to translate complex information into practical tools and insights that support the Biodiversity Assessment Method (BAM) and Biodiversity Offset Scheme (BOS).

 

About You

 

You bring strong experience in data science and analytics, with the ability to work confidently with complex datasets and modern analytical tools. Experience working with biodiversity, ecological or environmental data and large language models will be highly regarded.

 

You are a collaborative and practical problem-solver who can communicate technical information clearly, build productive stakeholder relationships and deliver high-quality outcomes. You enjoy working in multidisciplinary teams and contributing to projects that make a meaningful difference.

 

Key knowledge and experience

 

  • Experienced working with Microsoft SQL Server, Microsoft PowerBI, GIT, DataBricks, R-Code and Python.
  • Understanding of field biological survey methods, data and their application.
  • Experience in agile project methodologies, design thinking and/or lean start-up.

 

Essential requirements

 

  • A relevant tertiary qualification or extensive experience in biodiversity data science, engineering or analysis.

 

For more information read the full Role Description:  Senior Data Scientist

 

To Apply

 

If excited by the information above, we look forward to receiving your application, including a copy of your resume and cover letter expressing your interest and suitability for the role.

 

Please note to be eligible to apply for this position you must be an Australian or New Zealand citizen or permanent resident, or hold a valid Australian working Visa for the duration of the appointment.  

 

Applications close Thursday 19th November 2026 at 11:55PM.

 

Should you require further information about the role please contact Josh Dorrough via Josh.Dorrough@dcceew.nsw.gov.au or on 0438 547 446.

 

Looking for more information or assistance in applying? 

 

  • How to apply for public service roles and prepare an application. 
  • Information and support for veterans transitioning into government careers. 

 

If you require an adjustment for your application process, please contact our Talent Acquisition Team by emailing dcceew.ta@dpie.nsw.gov.au or contacting Gabriella Schulzer on 9585 6521 (please mention reference number 554048).

 

If you are an Aboriginal or Torres Strait Islander use our Aboriginal applicants guide to assist with applying for roles or our Aboriginal Career pathways team at AEX@dcceew.nsw.gov.au for a yarn. 

 

Find us on Facebook, Instagram, X (Twitter), YouTube and LinkedIn.

Apply

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