The RoleTo provide a current tertiary education student or recent graduate with practical work experience in applying data science and machine learning techniques to institutional data.
The role will assist BIR with the enhancement, testing and analysis of predictive models, including scenario modelling, to generate insights that inform decision-making and improve student support and outcomes.
The Role To provide a current tertiary education student or recent graduate with practical work experience in applying data science and machine learning techniques to institutional data.
The role will assist BIR with the enhancement, testing and analysis of predictive models, including scenario modelling, to generate insights that inform decision-making and improve student support and outcomes.List of the main tasks/dutiesAssist in enhancing and testing of existing machine learning models to improve their accuracy, robustness and usefulness for decision-making.Extract, prepare and analyse data using SQL and Python, ensuring datasets are accurate, consistent and suitable for modelling in accordance with established standards and guidelines.Assist with running test cases, checking how model performance and outputs change under different assumptions and features, to support the team with model refinement.Assist in evaluating model performance and validating results to help ensure outputs are robust and defensible.Document experiments, methods, code changes and results in line with established ML Ops framework and documentation standards.Communicate findings and the limitations of each approach to support informed decision-making.Handle confidential and sensitive data in accordance with University privacy, data governance and information security requirements.Comply with relevant EEO and WHS regulations.Perform any other duties as required and appropriate for this classification.Selection criteriaCurrent enrolment in, or recent completion of, tertiary studies in data science, computing, statistics, mathematics, actuarial studies or a related field.Demonstrated knowledge of, and experience using, Python for data analysis and modelling (for example pandas, NumPy, scikit-learn), and SQL for querying and joining relational data.Understanding of core machine learning concepts, including training and test design, overfitting and model evaluation.High attention to detail and well-developed analytical and problem-solving skills.Effective communication skills (written and verbal) with the ability to work collaboratively with team members and stakeholders,



and communication technical information clearly.Ability to exercise discretion and maintain confidentiality when handling sensitive information.Desired Knowledge or experienceKnowledge or experience with gradient boosting models (for example XGBoost, LightGBM or CatBoost) and model explainability techniques.Experience with Snowflake or another cloud data platform.Version control using GitHub.Understanding of CI/CD concepts as applied to data science or analytics workflows.Role Specific enquiriesAabha Anand Tiwari Pre-Employment ChecksYour employment is conditional upon the completion and maintenance of all role-required pre-employment or background checks in terms satisfactory to the University.About UsMacquarie is a university engaged with the real and often complex problems and opportunities that define our lives.
Celebrating its 60th year in ****, it was established as a bold experiment in higher education and designed to break from educational traditions to work in tandem with industry.
Institutionally we strive for the extraordinary by challenging convention and embracing different views.
Our pioneering culture has encouraged and inspired students, staff and collaborators to break free from conventional thinking, and to actively shape the complex issues that define the future of humanity.Applications Close22/11/2026 11:59 PMA Place Where You BelongAt Macquarie, we believe diversity makes us stronger, inclusion drives our success, and belonging inspires us to do our best work.
We are proud to foster a community where different backgrounds, identities, and experiences are valued, and where our people are empowered to thrive through supportive leadership, shared responsibility, and a deep commitment to genuine care and respect for our community.
Find out more about our vision for a truly inclusive workplace in our Diversity, Inclusion and Belonging Framework.Flexible WorkAt Macquarie, we believe by providing flexibility in when, where and how work is done, we can support our staff to manage their personal commitments, while optimising their work performance and contributions to the University.




See how we lead in adaptable work to enable an outcome focused and inclusive workplace.
To learn more about our culture and hiring process, visit our Jobs at Macquarie page.You to the Power of UsIt's an invitation for you to bring your passion and purpose to a campus powered by human collaboration, and where the potential of every person multiplies our ability to achieve remarkable things.
Hear from our Vice Chancellor Bruce Dowton.Our valuesOur values — Collective Ambition, Purposeful Collaboration, Bold Innovation, and Genuine Care — are at the heart of everything we do and by living our values, we unlock the true potential of You to the Power of Us.
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We know Macquarie is at its best when we live our values every day.Fostering BelongingOur Diversity, Inclusion and Belonging Framework ********* and our Flexible Work approach support Macquarie's vision by building a community where everyone truly feels safe and like they belong.
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Through a nurturing and fair environment, we are a workplace that enables you to balance both your personal needs and professional goals.What we offer?
When you join Macquarie University, you gain access to a supportive, flexible workplace designed to help you thrive.
Our benefits include:Flexible, hybrid work arrangements17% SuperannuationSubsidised onsite parking optionsExtensive training and professional development programsOnsite childcare facilities to support working parentsOnsite vacation care during school holidaysDiscounted health insuranceSubsidised membership at our Sport & Aquatic CentreAccess to an Employee Assistance Program for free and confidential supportConvenient onsite GP, imaging, and physiotherapy clinicsDiscover our beautiful campusJust 15km from Sydney's CBD and with access to Australia's only dedicated university metro station, our Wallumattagal Campus in Macquarie Park offers a vibrant and inspiring place to work—right in one of the world's greatest cities.Take a look at our campus.Join a workplace that's inclusive, outcome-focused and driven by shared purpose.PrivacyFor further information about how the University, collects, uses and discloses personal information about you, refer to the privacy policy.
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📌 Data Science Intern (Sydney)
🏢 Macquarie University
📍 Sydney