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Data scientist

Sydney
Nsw Health
Data Scientist
Posted: 17 September
Offer description

Join to apply for theData Scientistrole atNSW Health.
Employment Type: Temporary Full Time (up to 30 June 2026)
Position Classification: Health Manager Level 3
Remuneration: $127,150 - $144,444 p.a. plus Superannuation (12%)
Location: 1 Reserve Road, St Leonards NSW
Hours Per Week: 38
Requisition ID: REQ603415
Closing Date: 18 September 2025 (11:59PM)
Join the State ODS Program in the System Performance Support Branch at the Ministry of Health for a temporary opportunity up to 30 June 2026 as part of a team enriching health in millions of ways every day.
About Us
We offer robust development and growth support to all our employees, ensuring you have the resources and opportunities to thrive in your career.
Explore boundless potential in a dynamic environment.
Join a passionate team dedicated to innovation and creativity.
For more information about the Ministry and benefits, access our Employee Benefits Handbook.
About The Role
The Data Scientist is responsible for high quality data science and advanced analytics work for the State Operational Data Store Program.
You will apply data science and statistical modelling techniques to health data.
You will be part of a multi-disciplinary team and be responsible for investigative analytics, structured statistical model building and the data engineering pipeline and platform for key enterprise solutions for all State ODS Program initiatives as commissioned by NSW Health.
Health Manager Level 3, starting salary from $127,150 - $144,444 plus Super and annual leave loading, with a 38-hour work week.
What You'll Be Doing
Deliver advanced data analysis and data science tasks for projects undertaken by the State ODS Program team.
Design, develop, and refine machine learning algorithms to ensure outputs are reproducible, robust, and aligned with current best practices.
Interpret outputs from algorithms, clearly articulating assumptions, limitations, and implications for stakeholders.
Validate algorithms through structured testing and documentation and establish dashboards to monitor algorithms in production environments.
Collaborate with development teams to package and provide algorithm outputs for deployment into production applications.
About You
We are seeking a motivated and committed individual with the following experience:
Relevant tertiary qualifications and/or relevant experience in Data Science, Data Analytics, Actuarial, Mathematics, or Statistics.
A history of openness to explore new analytics techniques and data engineering principles is essential.
Experience (2+ years) applying advanced analytical methodologies, including predictive modelling (e.g. GLM regression, discriminant analysis, gradient boosting or similar).
Experience (2+ years) with machine learning concepts and algorithms (supervised/unsupervised learning, regression, classification, clustering, NLP, deep learning, neural networks).
Experience (2+ years) in SQL, Python, R, Jupyter Notebook and core data science libraries (e.g., Pandas/NumPy/scikit-learn/Matplotlib/TensorFlow/PyTorch).
Experience (2+ years) in data wrangling and feature engineering for complex datasets.
Experience (2+ years) in deploying and managing machine learning workflows in cloud environments (e.g., Azure ML) is highly desirable.
How To Apply
Review the role description and submit your up-to-date resume (up to 5 pages) and cover letter (1-2 pages) explaining your interest and highlighting relevant skills.
For role-related queries, contact Abdullah Safi at (quoting REQ603415).
If you require adjustments to the recruitment process, please contact .
Closing Date: 18 September 2025
Additional Information
This is a temporary role with potential opportunities for ongoing employment at grade.
A Talent Pool may be created for similar future roles over the next 18 months.
The selection process will include merit-based techniques to determine suitability.
For more information about working at NSW Health, please visit the career portal.
Our Commitment to Diversity and Inclusion
We are committed to a diverse, inclusive and flexible environment which reflects the community we serve.
We actively promote the employment of women, people with a disability, Aboriginal and Torres Strait Islander peoples, LGBTIQ+ community and people from culturally and linguistically diverse backgrounds.
If you identify as Aboriginal or Torres Strait Islander and would like assistance with your application, please visit The Stepping Up Initiative.
To be eligible for employment, you must be an Australian citizen or permanent resident, or a New Zealand citizen with a current NZ passport, or hold a visa with permission to work in Australia.
Note
Related information and position descriptions may be found via links within the posting.
Applicants should note that there may be opportunities for ongoing employment and talent pools for similar roles in the future.
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