EL1 Lead data Scientist

Australian Citizens residing in Australia only respond. must have baseline clearance. Essential criteria 1. Technical Proficiency ability to design, develop, and deploy AI/ML solutions using a wide range of techniques, including machine learning, deep learning, natural language processing, and large language models (LLMs). Ability to create prototypes aligned with business goals, delivering measurable value. Deliver the full lifecycle of AI solutions, from planning and design to testing, deployment, and evaluation. Proficiency in programming languages (Python, R, JavaScript/TypeScript) and familiarity in application development (e.g., React, Flask, R Shiny). Knowledge of cloud computing principles and best practices, with a focus on Microsoft Azure. Familiarity with cloud-based data storage, processing, and analytics solutions, ensuring scalability, security, and cost-efficiency Ability to contribute to development of AI technical standards, including guardrail designs and control practices, to ensure the ethical development and use of AI/ML solutions.40% 2. Strategic thinking drive innovation by providing strategic advice on AI initiatives. Research and explore the latest trends and best practices in the AI field to ensure the department stays at the forefront of technological advancement. Expertise in best practice AI governance and frameworks, including guardrail designs and control practices, to ensure the reliability and ethical use of AI/ML models. Ability to implement AI solutions consistent with governance frameworks, ensuring adherence to the enterprise policies, standards, ethics, and relevant legislation.30% 3. Collaboration and Team Work ability to work independently with limited guidance and create self-direction in uncertain and rapidly changing environments, displaying the characteristics of creativity and resilience. Ability to work openly and collegiately in a multi-disciplinary team, displaying a genuine consideration of how members from other disciplines contribute to the overall outcome. Have a strong focus on people and business outcomes over formal methodologies. Ability to translate complex technical concepts into clear, actionable insights for senior executives and non-technical stakeholders. Ability to foster support for AI initiatives across diverse audiences. Excellent collaboration skills, enabling you to work closely with stakeholders to determine appropriate AI solutions for deployment and integration.30% Desirable criteria 1. Candidates must specify where they are located. Originally posted on Himalayas Data-Scientist, AI-Engineer, Machine-Learning-Engineer, AI-Scientist, Senior-Data-Scientist-Lead, Data-Science-Team-Lead