Senior Data Scientist

Faculty

. Lead high-impact AI projects and shape the technical direction of bespoke solutions .

Posted 11/9/2026full-timeSydney • AustraliaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI projects, developing innovative algorithms, and mentoring data scientists while ensuring high-quality delivery and effective client engagement. Proficient in Python, deep learning frameworks, and data science methodologies to translate complex business problems into actionable solutions.

Highest-signal resume keywords

Fluent Python ProgrammingDeep Learning Frameworks (PyTorch)Supervised and Unsupervised LearningClient-Facing ExperienceProject Planning and Technical Feasibility Assessment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Science ToolkitNumPyPandasAlgorithm DevelopmentNatural Language Processing (NLP)Validation Techniques

Soft Skills

Leadership MindsetMentoringClient Relationship Building

Industry Keywords

AI SolutionsBespoke AlgorithmsTechnical DirectionProject Lifecycle Best Practices

Tech Stack

Tools & technologies

NumpyPandasPythonPyTorch

About the role

Key responsibilities & impact

Lead high-impact AI projects and shape the technical direction of bespoke solutions
Lead project teams delivering bespoke algorithms and high-stakes AI solutions to clients
Define data science approaches and design robust software architectures for new engagements
Mentor data scientists and support the professional growth of technical team members
Partner with commercial teams to build client relationships and shape technically feasible project scopes
Contribute to Faculty’s thought leadership and reputation through courses, public speaking, or open-source projects
Ensure best practices throughout the project lifecycle for high-quality, impactful delivery

Requirements

What you’ll need

Senior experience in a professional data science position or a quantitative academic field
Fluent Python programming skills
Experience with NumPy and Pandas
Experience with a deep-learning framework such as PyTorch
Deep expertise in supervised and unsupervised learning, NLP, and validation
Proficiency across the standard data science toolkit
Ability to develop new, innovative algorithms
Leadership mindset focused on growing technical team capabilities
Experience in client-facing work and commercial awareness
Ability to translate business problems into a rigorous mathematical framework
Project planning and technical feasibility assessment skills
Ability to estimate delivery timelines
Ability to lead teams delivering high-quality work on a strict schedule

Benefits

Comp & perks

Open to conversations about part-time hours
AI tools permitted for research and interview preparation
Ability to opt out of the AI interview note-taker (Metaview)