Data Scientist

One of our

Clients

is seeking to engage candidates for the below roles.

Role:

Senior Data Scientist (APS6)

Length of contract:

04 months

Security clearance:

Baseline Security Clearance

Location:

Canberra, Sydney, Brisbane, Hobart and Melbourne (Hybrid)

Job details

This role will support the deliverables outlined in the BID Analytical Needs Implementation Roadmap, which aims to optimise data insights and reduce inefficiencies by consolidating and enhancing analytical tools that currently exist across multiple platforms. The Data Scientist will be responsible for analysing complex datasets (such as MBS and PBS) to provide actionable insights and support data-driven decision-making. This includes developing predictive and statistical models, performing analysis and creating data visualisations to communicate findings effectively.

The Data Scientist will work closely stakeholders, including data engineers, analysts, and executive team, to gather requirements, develop solutions, and ensure that the final products meet the needs of the users and align with the Division’s goals.

Key Duties and Responsibilities

Utilising advanced statistical and machine learning methods to:

Analyse complex datasets to deliver actionable insights that inform policy and operational decisions

Perform exploratory data analysis to identify trends, patterns, and insights

Design, build, and deploy machine learning models

Develop model monitoring methods to evaluate model performance and fine-tune algorithms for optimal results

Provide recommendations for process improvements based on data findings

Working closely with stakeholders to:

Ensure data science projects are effectively integrated into larger government initiatives

Facilitate workshops and meetings to gather requirements

Collaborate with cross-functional teams to understand business requirement

Provide regular updates and progress reports to stakeholders

Identify opportunities for cross-departmental collaboration

Conveying technical results and findings to:

Clearly and effectively communicate technical results to non-technical audiences, such as senior executives, stakeholders, and community groups

Use reports, presentations, and data visualisation tools to present findings

Contributing to team efforts to:

Represent the team in forums and meetings

Share knowledge and expertise with team members

Support team efforts as required

Foster a collaborative and inclusive team environment

Introducing new analytical and data science methods to:

Systematically embed new analytical and data science methods into compliance processes

Build capability within the team

Stay updated with the latest advancements in data science and analytics

Evaluate the effectiveness of new methods and refine as needed

Identifying, developing, and maintaining relationships to:

Develop and maintain relationships to deliver work outcomes

Identify potential collaborators and establish partnerships

Key Capabilities

Experience delivering professional data science solutions in an operational environment

Experience in programming for AI and Machine Learning

Experience with SQL, R/Python, and R Shiny programming

Hands on experience with EDW and cloud environments, ideally GCP

Excellent at managing diverse stakeholder relationships to advance and achieve business objectives

Proficient in statistical analysis

Capable of developing innovative data-driven solutions using advanced analytics methodologies

Proven ability to set priorities, monitor progress and ensure the successful delivery of functions and programs

Capable of meeting tight deadlines efficiently

Ability to communicate data analysis to non-technical staff and managers

Ability to promote data literacy through effective communication of data that is aligned with work processes

Excellent interpersonal skills with the ability to collaborate effectively with cross-functional teams and engage with a diverse range of internal and external stakeholders

Ideally, have knowledge of the Medicare Benefits Schedule or the Pharmaceutical Benefits Scheme

Security Clearance

Minimum Security Clearance of Baseline

Criteria

1. Demonstrated experience with data analytical platforms such as R Shiny, SAS, Power BI, Qlik.

2. Demonstrated experience in programming for AI and Machine Learning.

3. Demonstrated experience with EDW and cloud environments, ideally GCP.

4. Demonstrated experience with SQL, and R or Python for programming.

5. Demonstrated experience delivering professional data science solutions in an operational environment.

6. Demonstrated ability to collaborate effectively within team and across various areas of an organisations, manage diverse stakeholder relationships, and communicate data analysis to non-technical stakeholders.

The Next Step Is Easy: If you are interested, you may send an email to

bhavani.t@strategicpartners.net.au

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$1,000 Joining Bonus

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