We have a current opportunity for a Data Scientist on a temporary basis. The position will be based in Perth. For further information about this position please apply.

Key Responsibilities

Data Analysis and Insights

Extract, analyse, and interpret complex data sets to provide actionable insights that drive business decisions.
Utilise data visualisation tools to present findings in a clear and impactful manner, ensuring stakeholders understand the insights and their implications.

AI and Machine Learning

Develop, implement, and optimise machine learning models and AI solutions, ensuring they are robust, scalable, aligned with business objectives and delivering value.
Apply principles of AI and data ethics to ensure solutions are ethical, safe, and explainable.

Strategic Planning and Emerging Technologies

Monitor emerging technology trends and assess their potential impact on current and future data science projects.

Business Process Improvement

Identify opportunities for business process improvement through data-driven insights and recommend actionable solutions.
Support change implementation planning and management to ensure smooth transitions and minimal disruption to operations.

Technical Development and Programming

Develop and maintain software solutions using best practices in programming and software development.
Conduct rigorous testing to ensure the quality and reliability of data science models and solutions.
Support solution architecture and systems design efforts to ensure data science solutions are integrated effectively within the enterprise architecture.
Ensure all data science activities adhere to information security standards and best practices, protecting sensitive data and maintaining compliance with regulatory requirements.

Data Management and Engineering

Manage and maintain data management processes, ensuring data integrity, security, and accessibility.
Support data engineering efforts to build and optimise data pipelines and infrastructure.

Requirements Management

Gather and validate requirements for data science projects, ensuring they align with business needs and objectives.
Research and Innovation
Conduct formal research to explore new methodologies, tools, and techniques that can enhance data science capabilities.

Knowledge Management

Contribute to knowledge management by documenting methodologies, processes, and insights, ensuring they are accessible and usable by the team.
Develop and apply measurement frameworks to evaluate the performance and impact of data science initiatives.
Support team members, fostering a collaborative and growth-oriented environment.

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