What are you going to do li]:text-brunel-dark-grey [&_ul>li]:py-2 [&_p]:text-brunel-dark-grey [&_ul>li>ul>li]:pl-0 pl-4 text-brunel-dark-grey description"> 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.
Introduction li]:text-brunel-dark-grey [&_ul>li]:py-2 [&_p]:text-brunel-dark-grey [&_ul>li>ul>li]:pl-0 pl-4 text-brunel-dark-grey introduction"> Brunel are partnered with a leading company in the energy and resources sector to deliver the best work opportunities for ICT & Engineering professionals within Australia.
We are currently seeking an Energy Analyst to join a on a long-term renewable energy project on a contract basis.
Essential skills and knowledge li]:text-brunel-dark-grey [&_ul>li]:py-2 [&_p]:text-brunel-dark-grey [&_ul>li>ul>li]:pl-0 pl-4 text-brunel-dark-grey jobrequirements"> Requirements Bachelor's degree in Computer Science, Software Engineering, mathematics, statistics, machine learning, or a related field.
3-5 years in data science and AI solution system development- Preferably in mining, energy, green energy, or heavy industrial operations.
Required Skills Strong understanding and practical experience in statistics and machine learning, including causal inference and experimental design.
Proficiency in Python, SQL, and machine learning frameworks (e.g TensorFlow, PyTorch) Background in AI/ML techniques, including NLP (traditional and LLMs), computer vision and predictive analytics.
Experience in platforms such as Snowflake, S3 and Databricks/SageMaker Familiar with cloud platforms such as AWS or Azure (beneficial).
Experience with software development industry best practices.
Strong written and verbal communication skills, with the ability to communicate complex technical concepts to both multi-disciplinary product teams and to non-technical stakeholders Benefits: Salary sacrifcing Employee Assistance Program (EAP) Corporate discounts