Senior Data Scientist: Lead AI Projects & Teams

Faculty; Melbourne; On-site; AUD 140,000 - 190,000; Full time

Job summary

Faculty in Melbourne is seeking a Senior Data Scientist to lead high-impact AI projects and shape the technical direction of bespoke solutions. This role combines hands-on technical excellence with crucial team leadership to deliver measurable AI outcomes.

You will mentor junior colleagues, define data science approaches, and build deep client relationships while advancing Faculty’s reputation for practical AI.

Qualifications

• You demonstrate strong programming skills with fluent Python, using core libraries NumPy and Pandas and a deep-learning framework such as PyTorch.
• You have senior experience in a professional data science position or a quantitative academic field.
• You bring leadership mindset to grow technical capabilities and nurture collaboration.
• You exhibit commercial awareness with client-facing experience and translating business problems into mathematical frameworks.

Responsibilities

• Leading project teams that deliver bespoke algorithms and high-stakes AI solutions to clients across the sector.
• Conceiving the core data science approach and designing robust software architecture for new engagements.
• Mentoring a small number of data scientists and supporting technical team growth.
• Partnering with commercial teams to build client relationships and shape project scope for technical feasibility.
• Contributing to Faculty’s thought leadership through courses, public speaking, or open-source projects.
• Ensuring best practices throughout the project lifecycle to guarantee high-quality, impactful delivery.

Skills

Python

NumPy

Pandas

PyTorch

Tools

Python

NumPy

Pandas

PyTorch

Job description

Faculty in Melbourne is seeking a Senior Data Scientist to lead high-impact AI projects and shape the technical direction of bespoke solutions. This role combines hands-on technical excellence with crucial team leadership to deliver measurable AI outcomes.

You will mentor junior colleagues, define data science approaches, and build deep client relationships while advancing Faculty’s reputation for practical AI.