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

Contract extensions: 06 months extension

Security clearance: Baseline Security Clearance

Job details

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

Key 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

The buyer has specified that each candidate must provide a one page pitch to address all criteria specified. This is equal to 5000 characters.

Essential 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 [email protected]

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