Junior Data Scientist at Health System Support Group
St Leonards, New South Wales, Australia -
Full Time


Start Date

Immediate

Expiry Date

12 Sep, 25

Salary

129624.0

Posted On

12 Aug, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Mathematics, Nlp, Data Analytics, Data Science, Openness, Sql, Python, Algorithms, Statistics, Learning Techniques

Industry

Information Technology/IT

Description

CLOSING DATE: 11:59PM WEDNESDAY 13 AUGUST 2025

Join the State ODS Program in the System Performance Support Branch at Ministry of Health for an exciting temporary employment opportunity up to 31 December 2025 and be part of the 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.
    To learn more about the Ministry and what benefits we offer, access our Employee Benefits Handbook.

ABOUT YOU

We are seeking a motivated and committed individual who can support the work of NSW Health with the following experience;

  • Relevant tertiary qualifications and / or relevant experience in Data Science, Data Analytics, Actuarial, Mathematics, and Statistics. A history of openness and curiosity to explore new analytics techniques and data engineering principles and tools is essential.
  • Experience (>1 years) with a range of analytics methodologies, ideally including predictive modelling (e.g. Generalised Linear Model regression, discriminant analysis, or similar)
  • Experience (>1 years) in machine learning concepts and algorithms (e.g. supervised and unsupervised learning, regression, classification, clustering, and natural language processing (NLP), deep learning techniques, neural networks etc.) is desirable.
  • Experience (>1 years) in the utilisation of SQL, Python, Jupyter Notebook and Panda/ Numpy/ SQLAlchemy/ Matplotlib Library
  • Experience (>1 years) in data wrangling process and demonstrated competency in cleaning and organising complex dataset.

How To Apply:

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Responsibilities

ROLE TITLE: JUNIOR DATA SCIENTIST

Employment Type: Temporary Full Time (up to 31 December 2025)
Position Classification: Health Manager Level 2
Remuneration: $109,857 - $129,624 plus Superannuation (12%)
Location: 1 Reserve Road, St Leonards NSW
Hours Per Week: 38
Requisition ID: REQ595159

ABOUT THE ROLE

With your skills and experience, you can contribute to the millions of ways we’re enhancing health and wellness while developing your career as part of the largest health organisation in Australia.
The Junior Data Scientist is responsible for high quality data science and advanced analytics work which is the responsibility of the State Operational Data Store Program. This position will be expected to apply superior data science and statistical modelling techniques, tools and processes to the unique health data. You will be part of a multi-disciplinary team and be responsible for investigative analytics work, structured statistical model building and the associated data engineering pipeline and platform for key enterprise solutions on behalf of State ODS Program initiatives as commissioned by NSW Health.
The Health Manager level 2, starting salary from $109,857 - $129,624 plus Super and annual leave loading, with a 38-hour work week.

WHAT YOU’LL BE DOING

  • Complete advanced data analysis and data scientist related tasks for projects undertaken by the State ODS Program team.
  • Review and develop machine learning based algorithms and where appropriate, tune or tweak the algorithms to ensure it is relevant, output is reproducible and reflects modern techniques.
  • Perform algorithm validation including relevant documentation of test case and evidence of test execution outcomes
  • Interpret output derived from algorithms generated and understand the assumptions applied during development of algorithms and the limitations.
  • Providing output of the developed algorithms to the development team in a manner which allows for the deployment in an application production environment.
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