Senior Data Scientist: AI/ML Data Products Lead (Hybrid)

Qantas Group; Sydney; Hybrid; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Staff Travel Benefits from Day One

Hybrid working model

Job summary

Qantas Group is seeking a Senior Data Scientist to lead the design, delivery and operation of AI/ML data products across the airline. You will shape data transformations, productionise models and drive ML Ops modernization while collaborating with Technology, Product and Analytics teams to translate business challenges into analytical solutions.

You will work on data platforms to support AI ambitions, ensuring governance, security and compliance while delivering measurable customer and

Qualifications

• Hands-on ML/AI experience essential.
• Experience building data products to support AI initiatives.
• Strong proficiency in Python, SQL, and data tooling.
• Experience with modern ML Ops practices and tooling.
• Experience communicating complex insights to senior leaders.

Responsibilities

• Lead design, delivery and operation of AI/ML data products.
• Produce scalable AI/ML solutions and productionise models.
• Guide data transformation and governance to enable AI at scale across the airline.
• Improve ML Ops practices and standards.
• Partner with Technology, Product and Analytics teams to translate challenges into analytical solutions.

Skills

ML/AI experience

Python

Docker

SQL

Git

CI/CD

dbt

Airflow

Power BI

Streamlit

data visualization

stakeholder engagement

statistical techniques

Education

Tertiary qualification in statistics/CS/data science

Tools

Python

Docker

SQL

Git

CI/CD

dbt

Airflow

Power BI

Streamlit

Job description

Qantas Group is seeking a Senior Data Scientist to lead the design, delivery and operation of AI/ML data products across the airline. You will shape data transformations, productionise models and drive ML Ops modernization while collaborating with Technology, Product and Analytics teams to translate business challenges into analytical solutions.

You will work on data platforms to support AI ambitions, ensuring governance, security and compliance while delivering measurable customer and