Lead Data Scientist

Lead Data Scientist

Infosys Singapore & Australia · Sydney, Australia (Hybrid) · Full-time · Posted 2026-01-11

Workplace: hybrid

Department: AIX-AI & ML

Description

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.

Requirements

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.

Benefits

At Infosys, all employment opportunities are determined by merit, competence, and performance. We are dedicated to fostering diversity and cultivating an inclusive environment for all our employees. Infosys takes pride in being an equal opportunity employer.

We understand that each individual has unique needs. If you are a person with a disability, illness, or injury and need accommodations during the recruitment and selection process, please reach out to our Recruitment team at [email protected] for adjustments, or specify your preferred communication method in your email, and a team member will reach out to you.

For the protection of all parties involved in the recruitment procedure, please be advised that Infosys does not accept unsolicited resumes from third-party agencies. Without a signed agreement, any submission will be considered non-binding, and Infosys explicitly reserves the right to seek and hire from the submitted profile. All recruitment activities must be managed through the Talent Acquisition department.

Apply

Apply at Infosys Singapore & Australia

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