Data Scientist, Marketing

Role Overview

Join the Customer Analytics team within Marketing and Communications and play a pivotal role in advancing the University’s machine learning and artificial intelligence capability. This established role offers the opportunity to step into a mature environment with diverse data assets, strong stakeholder engagement, and a strong pipeline of initiatives delivering measurable business impact.

What You Will Do

Design, develop and maintain production-ready AI solutions that support student engagement, recruitment and service delivery, while helping shape the future of data-driven marketing and student recruitment across the University.

Why It Might Be a Fit

You will have the opportunity to own end-to-end machine learning projects, deliver meaningful business outcomes, and help shape best practice across an evolving AI capability.

Requirements

• Completion of a degree in Computer Science, Data Science, Mathematics, Statistics, or a related discipline
• Demonstrated experience designing, developing, implementing and maintaining machine learning and AI solutions in production environments
• Strong programming skills in Python, R and SQL, with experience building reliable, maintainable and scalable codebases
• Experience working with modern data science and machine learning platforms including Databricks, Apache Spark, Jupyter Notebook and Docker
• Demonstrated experience developing and optimising data pipelines, ETL/ELT processes and data integration solutions
• Experience working with cloud-based data and analytics environments, including Microsoft Azure, AWS and/or Google Cloud Platform
• Strong problem-solving skills and the ability to translate complex business challenges into practical technical solutions
• Excellent communication and stakeholder engagement skills, with the ability to explain technical concepts to non-technical audiences and build productive working relationships across diverse teams

Benefits

• Up to 26 weeks paid parental leave
• 17% superannuation contributions
• Flexible working arrangements, including up to 2 days work from home per week
• 17.5% annual leave loading
• Genuine career development and learning opportunities
• Access to the UQ Study for Staff program
• Health and wellbeing initiatives
• On-campus childcare, parking and other campus amenities