Data Scientist, Marketing

The University of Queensland; Brisbane; Sur place; AUD 107 000 - 116 000; Plein temps

Avantages offerts par ce poste

17% superannuation

Flexible working arrangements

Parental leave up to 26 weeks

On-campus facilities

Résumé du poste

The University of Queensland's Marketing and Communications team is seeking a Marketing and Communications ML/AI specialist at HEW Level 7, based at the St Lucia Campus. You will design, develop and maintain production-ready AI solutions to advance student engagement, recruitment and service delivery, contributing to data-driven marketing initiatives.

This role offers a mature data environment, strong stakeholder engagement, and opportunities to lead end-to-end ML projects that deliver

Qualifications

• Degree in Computer Science, Data Science, Mathematics, Statistics, or related field, with relevant professional experience.
• Experience designing, developing and maintaining ML/AI solutions in production.
• Strong programming skills in Python, R and SQL, with scalable codebases.
• Experience with Databricks, Apache Spark, Jupyter Notebook and Docker.
• Experience building and optimising data pipelines and ETL/ELT processes.
• Experience working with cloud-based data environments (Azure, AWS, or GCP).
• Strong problem-solving skills and ability to translate complex challenges into practical solutions.
• Excellent communication and stakeholder engagement skills.

Responsabilités

• 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 ML solutions into enterprise environments.
• Translating complex analytical outputs into clear recommendations and insights that drive tangible business outcomes.

Connaissances

Python

R

SQL

Data analysis

Formation

Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or related discipline

Outils

Databricks

Apache Spark

Jupyter Notebook

Docker

Description du poste

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

• 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.

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.

UQ offers 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.

Eligibility and Pre-Employment Checks

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.

Diversity and Inclusion

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 also support any accessibility needs throughout the recruitment process.

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

The University of Queensland (UQ) acknowledges the Traditional Owners and their custodianship of the lands on which UQ is situated. We pay our respects to their Ancestors and their descendants, who continue cultural and spiritual connections to Country.

At the University of Queensland, we are proud to be one of Australia's leading research and teaching institutions, consistently ranking among the top 50 universities worldwide. As a member of the prestigious Group of Eight (Go8) universities, UQ is widely recognised for its intensive focus on research and teaching excellence – evidenced by our numerous accolades including more teaching awards than any other Australian University and reflected in UQ being the number one recipient of ARC Fellowships and Awards nationally across all scheme years (totalling 452 awards worth $339 million). Our state-of-the-art facilities, libraries, and cutting-edge research centres offer unparalleled opportunities for academic and professional growth. With five faculties, a number of globally recognised research institutes, and over 100 research centres, we attract an interdisciplinary community of more than 7000 staff, supporting more than 55,000 current students from over 137 countries.

UQ is dedicated to supporting the career aspirations of our students and staff. Our comprehensive career services provide personalised guidance, skills development, and networking opportunities to help you achieve your professional goals. Whether you are a student seeking internships and job placements or a staff member looking for career advancement, UQ is here to support you every step of the way.

UQ values equity, diversity and inclusion and seeks to reflect the broader community by attracting and retaining high-quality staff from a range of backgrounds. Our commitment to equity, diversity, and inclusion aims to ensure that everyone at UQ feels valued and empowered to achieve their full potential. We are particularly interested to hear from people who bring diversity to UQ – whether that be gender identity, LGBTQIA+, cultural and/or linguistic, Aboriginal and/or Torres Strait Islander peoples, or people with a disability. Whether you are a recent graduate, an Academic, or an experienced professional, UQ offers a wide range of opportunities to help you grow and succeed.

Explore our current job openings, discover our programs, and become part of a community that is dedicated to creating lasting, meaningful impact for the communities in which we live and work. For more information about working at UQ and our employee benefits (such as generous leave provisions, 17% superannuation, flexible working arrangements, and health and wellness discounts) please visit Why Work at UQ.