Job Description

Job Type: Permanent position | Full time position

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Job Description

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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 transparent recommendations for both technical and non-technical stakeholders.

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Key Responsibilities

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- Collect, prepare, and clean large datasets for analysis, identifying and resolving data anomalies, inconsistencies, and quality issues to ensure analytical integrity.
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- Apply advanced analytical techniques drawing on mathematical, statistical, programming, and database skills to extract meaningful insights from structured and unstructured data.
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- Design, build, and deploy machine learning and artificial intelligence frameworks that support automation, prediction, and pattern recognition across business functions.
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- Develop, evaluate, and iteratively refine statistical models and algorithms to uncover trends, forecast outcomes, and generate actionable insights.
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- Collaborate with cross-functional teams to understand business objectives and translate them into clearly defined data science problems and analytical solutions.
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- Present data-driven findings, visualisations, and recommendations to key decision-makers and stakeholders in a clear and compelling manner.
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- Contribute strategic input and innovation to the organisation's data science roadmap, identifying opportunities to leverage data for competitive advantage.
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- Maintain and document data pipelines, modelling processes, and analytical methodologies to ensure reproducibility and knowledge sharing across the team.
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- Monitor and assess the performance of deployed models, implementing updates and improvements as required to maintain accuracy and relevance.
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- Support data governance and ensure compliance with data privacy regulations and organisational data management policies.
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Required Qualifications & Skills

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- Bachelor's degree or higher in Data Science, Statistics, Mathematics, Computer Science, or a related discipline.
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- Demonstrated experience in a data science or advanced analytics role, with a portfolio of applied projects.
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- 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).
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- Strong understanding of statistical modelling, machine learning algorithms, and data mining techniques.
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- Experience working with large datasets and familiarity with SQL and database querying.
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- Ability to develop and evaluate predictive models, performing validation, tuning, and performance assessment.
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- Proficiency in data visualisation tools such as Tableau, Power BI, or equivalent libraries (e.g. Matplotlib, Seaborn).
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- Strong analytical thinking with the ability to translate complex findings into clear, business-relevant insights.
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- Excellent verbal and written communication skills,



with experience presenting to non-technical audiences.
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- Ability to manage multiple priorities, work independently, and contribute effectively within a collaborative team environment.
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Preferred Qualifications

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- Postgraduate qualification (Master's or PhD) in a quantitative or data-related field.
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- Experience with cloud platforms such as AWS, Azure, or Google Cloud, particularly for model deployment and data storage.
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- Familiarity with MLOps practices and tools for model versioning, monitoring, and deployment pipelines.
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- Knowledge of natural language processing (NLP), computer vision, or other specialist machine learning domains.
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- Experience working within Agile or Scrum delivery frameworks.
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- Relevant industry certifications in data science, machine learning, or cloud computing (e.g. AWS Certified Machine Learning, Google Professional Data Engineer).
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- Prior experience in a relevant industry sector such as finance, healthcare, retail, or government.
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Why Join Us?

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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.

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Benefits

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- Access ongoing professional development opportunities, including support for further study, certifications, and attendance at industry conferences.
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- Enjoy a flexible working environment with hybrid arrangements that support a healthy work-life balance.
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- Competitive remuneration package with superannuation and opportunities for performance-based progression.
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- Collaborative and inclusive workplace culture that values diverse perspectives and encourages knowledge sharing.
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Job Details

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Job Type: Full-time, Permanent

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Work Schedule: 8-hour shift Salary: $70,000 - $120,000 per year + Super

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📌 Data Scientist (New South Wales)
🏢 AI Talent
📍 New South Wales