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Australian Bureau Of Statistics (ABS)

  • #11 in Government & public services
  • 1,000 - 50,000 employees

2020 Student Data Scientist

The ABS is seeking several Student Data Scientists to join our Statistical Data Integration Division in our Canberra, Perth and Adelaide offices.
An opportunity to develop practical experience in the growing Data Science field, working on projects to inform and benefit the Australian community.

Opportunity details

Opportunity Types
Graduate Job
Number of Vacancies
These positions will be casual APS3 roles with an hourly rate of $34.64 (inclusive of 20% leave loading). Candidates will be expected to work an average of at least 2 days a week over a period of at least 3 months. This average could be achieved in a flex
Start Date
17 Aug 2020

Application dates

Applications Open
2 Jul 2020
Applications Close
8 Jul 2020

Minimum requirements

Accepting International Applications
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The ABS are seeking Student Data Scientists to work with data under the supervision of experienced team members – to understand large datasets, link datasets together, and create datasets that enable insights. This work fits into the growing field of Data Science.

Responsibilities include:

  • working with and understanding large datasets, including cleaning, coding and standardising data items
  • implementing linking strategies
  • observing and implementing ABS data security policies and procedures to preserve the privacy of the individuals represented in the data
  • building new analytical datasets by merging data items via linking concordances, including the derivation of new data items for specific analytical needs.

Applicants will be able to demonstrate all or most of the following skills, qualities and experience:

  • programming experience (SAS preferred, other languages acceptable) and a passion for data
  • strong conceptual, analytical and problem-solving skills
  • well-developed interpersonal and communication skills, including an ability to work effectively in a team
  • initiative, good judgement and the ability to organise, prioritise and complete tasks.

Studies in Statistics, Computer Science, Mathematics, Science and Engineering all have relevance to this role, but we are open to candidates from a range of backgrounds.