Data Scientist

We are looking for a curious and analytically driven Data Scientist to join our team and transform complex datasets into actionable insights that inform strategic decision-making. This role sits at the intersection of mathematics, statistics, programming, and business intelligence, requiring a candidate who can build and deploy sophisticated analytical frameworks including machine learning and AI solutions. The ideal candidate is a collaborative problem-solver with strong communication skills, capable of translating data-driven findings into clear recommendations for both technical and non-technical stakeholders.

Key Responsibilities

Collect, prepare, and clean large datasets for analysis, identifying and resolving data anomalies, inconsistencies, and quality issues to ensure analytical integrity

Apply advanced analytical techniques drawing on mathematical, statistical, programming, and database skills to extract meaningful insights from structured and unstructured data

Design, build, and deploy machine learning and artificial intelligence frameworks that support automation, prediction, and pattern recognition across business functions

Develop, evaluate, and iteratively refine statistical models and algorithms to uncover trends, forecast outcomes, and generate actionable insights

Collaborate with cross-functional teams to understand business objectives and translate them into clearly defined data science problems and analytical solutions

Present data-driven findings, visualisations, and recommendations to key decision-makers and stakeholders in a clear and compelling manner

Contribute strategic input and innovation to the organisation's data science roadmap, identifying opportunities to leverage data for competitive advantage

Maintain and document data pipelines, modelling processes, and analytical methodologies to ensure reproducibility and knowledge sharing across the team

Monitor and assess the performance of deployed models, implementing updates and improvements as required to maintain accuracy and relevance

Support data governance and ensure compliance with data privacy regulations and organisational data management policies

Required Qualifications & Skills

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

Demonstrated experience in a data science or advanced analytics role, with a portfolio of applied projects

Proficiency in programming languages such as Python or R, with experience in data manipulation libraries (e.g. pandas, NumPy) and machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch)

Strong understanding of statistical modelling, machine learning algorithms, and data mining techniques

Experience working with large datasets and familiarity with SQL and database querying

Ability to develop and evaluate predictive models, performing validation, tuning, and performance assessment

Proficiency in data visualisation tools such as Tableau, Power BI, or equivalent libraries (e.g. Matplotlib, Seaborn)

Strong analytical thinking with the ability to translate complex findings into clear, business-relevant insights

Excellent verbal and written communication skills, with experience presenting to non-technical audiences

Ability to manage multiple priorities, work independently, and contribute effectively within a collaborative team environment

Preferred Qualifications

Postgraduate qualification (Master's or PhD) in a quantitative or data-related field

Experience with cloud platforms such as AWS, Azure, or Google Cloud, particularly for model deployment and data storage

Familiarity with MLOps practices and tools for model versioning, monitoring, and deployment pipelines

Knowledge of natural language processing (NLP), computer vision, or other specialist machine learning domains

Experience working within Agile or Scrum delivery frameworks

Relevant industry certifications in data science, machine learning, or cloud computing (e.g. AWS Certified Machine Learning, Google Professional Data Engineer)

Prior experience in a relevant industry sector such as finance, healthcare, retail, or government

Why Join Us?

Be part of a forward-thinking team that places data and innovation at the core of strategic decision-making, giving you meaningful impact from day one

Access ongoing professional development opportunities, including support for further study, certifications, and attendance at industry conferences

Enjoy a flexible working environment with hybrid arrangements that support a healthy work-life balance

Competitive remuneration package with superannuation and opportunities for performance-based progression

Collaborative and inclusive workplace culture that values diverse perspectives and encourages knowledge sharing

Job Details

Job Type: Full-time, Permanent

Work Schedule: 8-hour shift

Salary: $70,000 – $120,000 per year + Super