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

Job Types: Full-time, Permanent

Pay: $70,000.00 – $120,000.00 per year

Benefits:

• Work from home

Application Question(s):

• Are you currently in Australia?
• Are you looking for visa sponsorship?
• How many years of experience do you have?

Work Location: Hybrid remote in Barangaroo NSW 2000