Infosys Consulting serves as the global management and IT consulting division of the Infosys Group (NYSE: INFY), providing strategic guidance to prominent companies in strategy formulation, process enhancement, and technology-driven transformation initiatives.

We collaborate with our clients to create and implement tailored solutions that tackle their intricate business challenges and assist them in navigating a post-modern ERP landscape. By merging innovative, human-centric methodologies with cutting-edge technological advancements, we empower organizations to envision their future and cultivate sustainable, long-term business value.

As a leader in bridging the gap between strategy and execution, Infosys Consulting offers unmatched business value by guiding clients in strategy development, process optimization, and IT-enabled transformation. To learn how we exceed expectations to deliver outstanding results, please visit us at www.infosysconsultinginsights.com. Infosys Consulting - the consultancy that truly serves real consultants.

We are looking for a Lead Data Scientist to join our team in Sydney. This senior role requires strong business and technical expertise to lead data science initiatives, drive AI/ML solution delivery, and guide a top-performing team using Databricks.

Key Responsibilities:

• Lead and mentor a team in AI/ML solution delivery aligned with business goals.
• Architect complex workflows and optimize MLOps pipelines on Databricks.
• Develop solutions leveraging Large Language Models (LLMs) like Mistral and GPT-4.
• Communicate technical concepts to business stakeholders and deliver presentations.
• Ensure compliance with regulatory and ethical AI frameworks.

Required Skills:

• 8+ years in Data Science or AI roles with hands-on Databricks expertise.
• Strong knowledge of MLOps and model lifecycle management.
• Experience with LLMs and proficiency in Python, SQL, and cloud environments (Azure preferred).
• Proven leadership and exceptional communication skills.

Nice to Have:

• Experience in banking or regulated industries.
• Familiarity with model risk management and responsible AI.
• Knowledge of relevant Azure services.