Data Scientist - Marketing Analytics

About the Role

Join the Customer Analytics team in the Marketing and Communications department at The University of Queensland, located at the St Lucia campus. This full-time, continuing position (HEW Level 7) offers an exciting opportunity to enhance the University's capabilities in machine learning and artificial intelligence, contributing directly to student engagement, recruitment, and service delivery initiatives. With a competitive salary range from $106,709 to $116,199 plus 17% superannuation, this role is embedded in a mature analytics environment featuring extensive data assets and active projects that deliver measurable business outcomes.

Key Responsibilities

• Develop, design, and maintain machine learning models and AI solutions aligned with strategic goals.
• Create and improve scalable, production-ready machine learning applications utilizing Python, Apache Spark, and modern data science platforms.
• Partner with IT and business units to build scalable data pipelines and integrate machine learning algorithms within enterprise systems.
• Interpret complex analytical findings into clear recommendations driving business decisions.

Candidate Profile

• A degree in Computer Science, Data Science, Mathematics, Statistics, or a related field, complemented by relevant professional experience.
• Proven expertise in deploying and managing machine learning and AI solutions in production environments.
• Advanced programming proficiency in Python, R, and SQL with a focus on building reliable, maintainable, and scalable codebases.
• Hands-on experience with data science and ML platforms including Databricks, Apache Spark, Jupyter Notebook, and Docker.
• Expertise in developing and optimizing ETL/ELT pipelines and data integration strategies.
• Familiarity with cloud-based analytics environments such as Microsoft Azure, AWS, and Google Cloud Platform.
• Strong analytical and problem-solving abilities to translate business challenges into effective technical solutions.
• Excellent communication and stakeholder management skills, capable of explaining technical concepts to diverse audiences and fostering collaborative relationships.

About The University of Queensland

At UQ, you will collaborate with a global community of experts, working at the forefront of innovation and research. This role offers the chance to lead end-to-end machine learning projects with significant business impact, influence strategic decision-making, and promote best practices in AI across the University.

Benefits and Workplace Culture

• Paid parental leave of up to 26 weeks.
• 17% superannuation contributions.
• Flexible work arrangements including the option to work up to two days per week from home.
• Annual leave loading of 17.5%.
• Robust career development and learning opportunities.
• Access to staff study programs, on-campus childcare, parking, and other amenities.
• Health and wellbeing initiatives fostering an inclusive and supportive workplace.

Additional Information

Applicants must have unrestricted work rights in Australia; employer-sponsored visas are not supported. The recruitment process may include pre-employment checks such as Australian work rights and qualifications verification, as well as integrity and conduct assessments. Shortlisted candidates will be asked to complete a practical technical assessment. Equity, diversity, and inclusion are actively supported, with accommodations available throughout the hiring process.

Applications close on Sunday, 16 August 2026 at 11:00 PM AEST. For enquiries, contact the Talent Acquisition team.