Data Innovation Leader

Job Description:

This is a senior role in Sydney, NSW, AU.

As a Principal Data Scientist, you will contribute to the design, development, and implementation of cutting-edge AI solutions to accelerate business growth and strategic priorities.

The ideal candidate will have strong business acumen along with demonstrable experience in using Generative AI, Deep Learning, and Machine Learning to deliver high-quality solutions.

Key Responsibilities:

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• Conduct and oversee advanced research to apply new methods and technologies to solve complex problems.\
• Provide technical leadership and ensure projects are executed with technical excellence and innovation.\
• Drive the expansion and adoption of Generative AI and Agentic AI solutions within the organisation.\
• Upskill AI and data science practitioners and enhance capabilities in key techniques such as prompt design, RAG, fine-tuning, agentic AI frameworks.\
• Collaborate with technology and engineering teams to design and build standardized AI assets applicable across the team.\
• Actively partner with internal AI and data science teams and external partners to share knowledge, best practices and bring the best of AI led impact to the organisation.\
• Develop and communicate a strategic vision for AI initiatives, aligning them with organisational goals and driving the overall AI strategy.\
• Lead the development of innovative solutions to complex organisational problems, leveraging advanced technical knowledge and specialist expertise.\
• Enhance customer experiences and simplify internal processes through the design, development, and integration of AI technologies.\
• Optimise product offerings through the application of AI.\
• Ensure expertise in tools and establish best practices for monitoring, testing, and validating AI solutions.\
• Manage risks associated with AI-related activities.\
• Identify opportunities for improving AI capabilities and drive their implementation.\
• Stay up-to-date with industry trends and emerging technologies.\
• Continuously improve AI-related processes and workflows.\
• Develop and maintain relationships with key stakeholders to ensure alignment and support for AI initiatives.\
• Manage competing priorities and deadlines to deliver high-quality results.\
• Communicate effectively with technical and non-technical stakeholders to achieve shared goals.\
• Ensure that AI solutions meet business needs and are aligned with organisational goals.\
• Make data-driven decisions to drive business outcomes.\
• Monitor and evaluate AI solution performance to identify areas for improvement.\
• Develop and maintain knowledge of emerging AI technologies and methodologies.\
• Stay current with industry developments and advancements in AI.\
• Document and share knowledge and best practices related to AI.\
• Participate in professional development activities to enhance skills and knowledge.\
• Take ownership of personal and team development to drive continuous improvement.\
• Be adaptable and flexible in a rapidly changing environment.\
• Apply creative problem-solving skills to address complex challenges.\
• Maintain a customer-centric approach to all interactions.\
• Embody a culture of collaboration, inclusivity, and respect.\
• Support a culture of experimentation and learning.\
• Model behaviours that promote a positive and productive work environment.\
• Build strong working relationships with colleagues at all levels.\
• Seek feedback and use it to improve performance and make informed decisions.\
• Communicate proactively and transparently to manage expectations and resolve issues.\
• Understand the business context and objectives to inform AI-related decision-making.\
• Stay up-to-date with regulatory requirements and industry standards related to AI.\
• Comply with organisational policies and procedures.\
• Ensure data privacy and security when developing and implementing AI solutions.\
• Use data analytics and visualisation tools to gain insights and inform decision-making.\
• Work collaboratively with cross-functional teams to develop and implement AI solutions.\
• Participate in agile development methodologies to ensure timely delivery of AI solutions.\
• Use version control systems to track changes and collaborate on AI code.\
• Deploy AI solutions in cloud-based environments.\
• Scale AI solutions to meet growing business demands.\
• Ensure scalability and reliability of AI solutions.\
• Implement automation and orchestration to streamline AI-related tasks.\
• Use machine learning algorithms to classify and predict business outcomes.\
• Develop predictive models to forecast business performance.\
• Visualise data to communicate insights and recommendations.\
• Use natural language processing (NLP) to extract insights from unstructured data.\
• Apply sentiment analysis to gauge customer opinions.\
• Classify and categorise text data using AI-powered tools.\
• Use computer vision to extract insights from images and videos.\
• Apply object detection to identify patterns and anomalies.\
• Train and deploy AI models in production environments.\
• Monitor and optimise AI model performance in real-time.\
• Continuously evaluate and improve AI solutions to ensure they remain relevant and effective.\
• Staying up-to-date with industry trends and emerging technologies.\
• Recommend and implement new AI tools and technologies to improve efficiency and productivity.\
• Engage with stakeholders to gather requirements and provide updates on AI-related initiatives.\
• Represent the organisation in AI-related forums and communities.\
• Develop and maintain partnerships with vendors and suppliers to source AI tools and services.\
• Partner with universities and research institutions to stay ahead of industry trends and access emerging talent.\
• Identify and pursue opportunities to advance the organisation's AI strategy and ambitions.\
• Continuously monitor and improve the AI maturity of the organisation.\
• Develop and execute plans to increase AI literacy and capability across the organisation.\
• Establish and maintain a Centre of Excellence for AI to drive innovation and improvement.\
• Develop and lead AI-related training programs to equip staff with necessary skills and knowledge.\

Required Skills and Qualifications:

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• Leadership and Coordination: Proven experience in leading high-performing multidisciplinary teams with Gen AI, predictive ML and data science skill sets.\
• Technical Skills and Tools: Expertise includes Generative AI Hands-On Delivery Experience, prompt engineering, RAG, guardrail design, orchestration design, and familiarity with frameworks like Semantic Kernel and LangGraph.\
• Machine Learning: Expertise in designing and constructing machine learning models, including feature engineering, model selection, hyperparameter tuning, model evaluation, and deployment of predictive models.\
• Tooling: Hands-on experience with Deep Learning, GenAI and data science tools such as Spark, Python, R, TensorFlow, PyTorch, SQL, and key AWS integration packages.\
• AI Platforms: Demonstrated experience in developing, deploying, and monitoring Deep Learning, Gen AI and AI models on AWS infrastructures, including Bedrock, SageMaker, Knowledge Base, and OpenSearch.\
• Communication and Collaboration: Excellent communication and interpersonal skills, with the ability to work effectively with diverse stakeholders.\
• Business Acumen: Strong understanding of business operations, with the ability to develop and communicate a strategic vision for AI initiatives.\
• Problem-Solving: Ability to apply creative problem-solving skills to address complex challenges.\
• Adaptability: Be adaptable and flexible in a rapidly changing environment.\
• Customer Focus: Maintain a customer-centric approach to all interactions.\
• Teamwork: Embody a culture of collaboration, inclusivity, and respect.\
• Learning and Development: Participate in professional development activities to enhance skills and knowledge.\
• Continuous Improvement: Take ownership of personal and team development to drive continuous improvement.\

Benefits:

This role offers a competitive salary package, comprehensive benefits, and opportunities for career growth and development.

Others:

We are an equal opportunities employer and welcome applications from diverse candidates.

Our organisation is committed to providing a safe and inclusive work environment.

We encourage applicants with disabilities to self-identify and request reasonable adjustments during the recruitment process.

We are committed to diversity and inclusion and welcome applications from diverse candidates.