The Senior Data Scientist at the Department of Climate Change, Energy, the Environment and Water leads biodiversity data solutions and ecological data standards that improve how environmental information is shared across NSW. The work connects scientists, data specialists and program teams so high-quality biodiversity data can support conservation, research and environmental assessment. View the official job ad.
This guide explains how to apply for Senior Data Scientist using the requested resume and cover letter. Your written application should connect strong data engineering, integration and analytics experience with practical outcomes for ecological information, including the tools and standards you used to make complex data more accessible and dependable.
The temporary role runs to June 2029 and can be based in Parramatta or another NSW location by negotiation, with hybrid work supported. Relevant experience includes SQL Server, Power BI, Git, Databricks, R and Python, while knowledge of biological survey data and modern delivery methods will help the panel see how you can contribute to a connected biodiversity data ecosystem.
Senior Data Scientist role snapshot
| Role detail | Information |
|---|---|
| Role | Senior Data Scientist |
| Organisation | Department of Climate Change, Energy, the Environment and Water |
| Location | Parramatta or another NSW location by negotiation |
| Job reference | 596024 |
| Work type | Temporary full-time, up to June 2029 |
| Salary | $128,052 to $142,649 plus super |
| Closing date | Sunday 6 September 2026 |
| Official role | View the official job ad |
Application requirements for Senior Data Scientist
NSW Government applications are screened against the stated submission requirements. Prepare each requested document in the required format and keep eligibility conditions separate from the written evidence.
- Resume
- Cover letter expressing interest and suitability for the role
Essential role requirements
- Relevant tertiary qualification or extensive experience in biodiversity data science, engineering or analysis
- Australian or New Zealand citizenship, Australian permanent residency, or a valid Australian work visa for the duration of the appointment
Check the official job ad and the online application before submitting in case the portal includes an additional instruction.
Candidate evidence for Senior Data Scientist
Use examples that show your decisions, actions and results in a setting close to this work. The following evidence areas come directly from the role responsibilities and applicant requirements.
| Evidence area | How to demonstrate it |
|---|---|
| Data engineering and integration | Use an example where you designed or improved a data solution across complex datasets, explaining the architecture, integration choices and quality outcome. |
| Biodiversity or ecological data | Show your understanding of biological survey methods or environmental datasets and how that knowledge shaped the way you modelled, connected or interpreted the data. |
| Analytical tools and reproducible delivery | Describe practical work with SQL Server, Power BI, Git, Databricks, R or Python, focusing on how the chosen tools produced a reliable and reusable solution. |
| Data standards and sharing | Explain how you developed or applied a data standard, improved interoperability or made information easier for other teams to reuse. |
| Technical communication and collaboration | Give evidence of working with scientists, program teams or other stakeholders and translating a technical concept into an accessible decision or working approach. |
| Adaptive delivery and improvement | Show how agile methods, design thinking or lean experimentation helped you solve a complex problem and improve the value delivered to users. |
Example application structure for Senior Data Scientist
Build the written application around the requested format and the strongest evidence for this role. Keep within every stated limit. The table below shows a practical order for the cover letter.
| Section | What to include |
|---|---|
| Opening | State your interest in using data science for biodiversity outcomes and summarise your strongest data engineering, integration and ecological data experience. |
| Technical solution | Describe one complex data solution, the tools and architecture involved, and the improvement it made to data quality, access or reuse. |
| Biodiversity context | Explain how your environmental or biological survey knowledge influenced the data model, analysis or standards you applied. |
| Standards and connected data | Show how you improved data sharing or interoperability and contributed to a more consistent data ecosystem. |
| Collaboration and delivery | Explain how you worked across scientific and program stakeholders, communicated technical choices and adapted the delivery approach as the problem developed. |
| Closing | Connect your experience to the environmental outcomes of the role and confirm how you meet the essential qualification or experience and work-rights conditions. |
What the panel will want to see in your examples
- A technically sound data solution built for complex biodiversity or environmental information
- Practical experience with the listed data engineering and analytics tools
- Understanding of ecological data, biological survey methods or closely related environmental information
- Data standards or integration work that improved sharing and reuse
- Clear technical communication across scientific, data and program stakeholders
Before you submit
Check that every requested document is attached, every limit is met and each example makes your own contribution clear. Confirm the closing date and any additional portal questions before you press submit.
You can use the NSW cover letter template to shape your first draft. If you want an experienced government hiring manager to prepare the full application, request application support from Team 3Thirty. You can also return to the official job ad when you are ready to apply.