AI - Data Scientist

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.