Lead Data Scientist

Lead Data Scientist - Establish the foundation for the modern data platform.

A senior who is capable of both hands-on delivery and strategic planning. Experience across data architecture, modelling, governance and orchestration is critical.

Responsibilities

• Define data governance and modelling standards
• Introduce essential tooling for data pipeline management, testing and deployment
• Create and maintain a data domain catalogue with clear lifecycles
• Lead the design of initial high-value domains such as transactions, fees, and routing events
• Ownership of the ML/AI strategy &
• Team leadership, including building out the foundational function

Key Skills and Experience

• A strong blend of software engineering and statistical expertise, with end-to-end delivery capability
• Demonstrated experience in developing, testing, deploying, and maintaining data models
• Proficiency in Python or R, and familiarity with cloud platforms such as Azure, AWS, or Google Cloud
• Excellent communication and stakeholder engagement skills
• A self-starter who is comfortable working autonomously in a project-based, fast-paced setting
• Experience in the payments industry would be an advantage but not strictly required
• Practical experience with AI/ML, GenAI exposure, and architectural decision-making in ML systems &
• A product mindset to guide the whole business toward a data-driven product

Team And Culture

This role sits at the intersection of product, platform, and intelligence, helping to shape how Fat Zebra leverages data and AI to enable better decision-making, stronger payments outcomes, and new commercial opportunities.

The team operates with a builder mindset. We take pride in shipping usable, auditable, and intelligent data products. You will work alongside engineers, product managers, and operations teams, acting as a multiplier across the business by designing systems that scale, evolve, and enable innovation.

We are not just building dashboards or models. We are designing infrastructure for understanding. If you care about clean semantics, model lifecycle management, and making AI a durable advantage rather than a toy, this is the role for you.

What You'Ll Gain:

• Full ownership of your work
• Exposure to varied business units and stakeholder groups
• This position offers variety, visibility, and the chance to solve real business problems using data

To Apply

If you meet most of the criteria but not all, and believe this role aligns with your career goals, we still encourage you to apply!

Shortlisted candidates will be contacted by phone within a week. Unsuccessful applicants will be notified via email.

For a confidential discussion please contact Rose Filippone on 0409236061 or alternatively apply via the link below.