Data Scientist, Marketing

University of Queensland; Brisbane; On-site; AUD 107,000 - 116,000; Full time

Benefits offered by this job

Parental leave up to 26 weeks

17% superannuation contributions

Flexible working arrangements (WFH up

17.5% annual leave loading

Career development and learning

Staff study program

Health and wellbeing initiatives

On-campus childcare and parking

Job summary

University of Queensland is seeking a skilled Machine Learning/AI specialist to design, develop and maintain production-ready AI solutions that boost student engagement, recruitment and service delivery. You will work within Marketing and Communications, collaborating with IT and business units to scale data pipelines and deploy ML models across the enterprise.

The role emphasizes translating analytical outputs into practical insights, contributing to a mature analytics capability and delivering

Qualifications

• Completion of a degree in Computer Science, Data Science, Mathematics, Statistics, or a related discipline, together with relevant professional experience.
• 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 platforms including Databricks, Apache Spark, Jupyter Notebook and Docker.

Responsibilities

• Designing, developing and maintaining machine learning models and AI solutions that support strategic and operational objectives.
• Building and enhancing production-ready machine learning applications using Python, Spark and modern data science platforms.
• Collaborating with IT and business stakeholders to develop scalable data pipelines and integrate machine learning solutions into enterprise environments.
• Translating complex analytical outputs into clear recommendations and insights that drive tangible business outcomes.

Skills

Python

R

SQL

Machine learning

Stakeholder engagement

Education

Bachelor's degree in Computer Science/Data Science or related

Tools

Databricks

Apache Spark

Jupyter Notebook

Docker

Job description

• Marketing and Communications
• Full-time, continuing position at HEW Level 7.
• Base salary will be in the range $106,709 - $116,199 + 17% super (HEW Level 7).
• Based at our St Lucia Campus.

About This Opportunity

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. You will 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.

Key responsibilities will include:

• Designing, developing and maintaining machine learning models and AI solutions that support strategic and operational objectives.
• Building and enhancing production-ready machine learning applications using Python, Spark and modern data science platforms.
• Collaborating with IT and business stakeholders to develop scalable data pipelines and integrate machine learning solutions into enterprise environments.
• Translating complex analytical outputs into clear recommendations and insights that drive tangible business outcomes.

About You

• Completion of a degree in Computer Science, Data Science, Mathematics, Statistics, or a related discipline, together with relevant professional experience.
• 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.

About UQ

As part of the UQ community, you’ll have the opportunity to work alongside the brightest minds, who have joined us from all over the world, working together to create change together.

This role sits at the intersection of innovation, analytics and strategic influence. 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. With strong demand for advanced analytics expertise across the University, this is an exciting opportunity to influence decisions, drive efficiencies, and contribute to transformational initiatives that have visible impact.

Recent UQ research highlights the University’s leadership in machine learning and artificial intelligence, including research that used machine learning approaches to help construct a detailed evolutionary timeline of bacteria, demonstrating how advanced analytics can unlock complex insights and create real-world impact.

At UQ, we offer a supportive, collaborative and inclusive culture where you will be challenged, inspired and rewarded. You’ll benefit from opportunities to broaden your capability, build highly transferable technical skills, and work with passionate colleagues committed to excellence and innovation.

UQ provides a range of benefits and rewards, including:

• 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.

Other Information

Pre-employment checks may include: verification of the right to work in Australia and qualification checks. This may also include checks relating to gender-based violence matters or other integrity and conduct requirements.

You must maintain unrestricted work rights in Australia for the duration of this appointment to apply. Employer sponsored work rights are not available for this appointment.

We’re dedicated to equity, diversity, and inclusion. We recognise that career pathways and opportunities differ, and encourage applications from candidates who may not meet every criteria but can demonstrate their potential relative to opportunity. We’re also happy to support any accessibility needs throughout the recruitment process. Just let us know how we can help by emailing [e-mail] or calling [phone].

Applications close Tuesday 17th November 2026 at 11.00pm AEST (R-67585).