Data Science Intern — ML & Python Analytics

Macquarie University; New South Wales; On-site; AUD 55,000 - 75,000; Full time

Job summary

Macquarie University in New South Wales invites a current tertiary education student or recent graduate to gain practical work experience in applying data science and ML to institutional data. You will assist the Business Intelligence & Reporting unit with enhancing, testing and analysing predictive models to generate insights for decision-making and improving student outcomes.

Under guidance of the Senior Data Analyst, you will extract, prepare and analyse data with SQL and Python, run test

Qualifications

• Current 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 communicate technical information clearly.
• Ability to exercise discretion and maintain confidentiality when handling sensitive information.
• Knowledge 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.

Responsibilities

• Assist in enhancing and testing 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.

Skills

Python for data analysis

SQL querying

Machine learning concepts

Communication skills

Data governance / privacy awareness

CI/CD knowledge for DS workflows

Education

Current enrolment in data science / computing / statistics / mathematics / actuarial studies

Tools

Snowflake

GitHub

Job description

Macquarie University in New South Wales invites a current tertiary education student or recent graduate to gain practical work experience in applying data science and ML to institutional data. You will assist the Business Intelligence & Reporting unit with enhancing, testing and analysing predictive models to generate insights for decision-making and improving student outcomes.

Under guidance of the Senior Data Analyst, you will extract, prepare and analyse data with SQL and Python, run test