Job Description

We are seeking an experienced Senior Data Scientist to join a high-performing data and analytics team delivering impactful AI, machine learning, and advanced analytics solutions within a complex and highly secure environment.

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Key Responsibilities

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- Lead the development and delivery of advanced analytics, machine learning, AI, and Large Language Model (LLM) solutions.
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- Design and implement statistically robust models including predictive, classification, forecasting, and causal inference models.
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- Own the end-to-end data science lifecycle from problem definition through to deployment, monitoring, and continuous improvement.
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- Apply advanced statistical techniques, experimental design methodologies, and hypothesis testing frameworks.
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- Develop and optimise machine learning models using supervised and unsupervised learning techniques.
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- Design deep learning solutions using CNNs, RNNs, and transformer-based architectures where appropriate.
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- Conduct model testing, validation, performance monitoring, and governance activities.
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- Work closely with stakeholders to translate business challenges into actionable analytical solutions.
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- Present analytical findings and recommendations to technical and non-technical audiences.
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- Mentor and support analysts and junior data scientists.
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- Collaborate with data engineering and platform teams to deploy scalable production-ready solutions.
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Required Skills & Experience

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- 8+ years of experience in Data Science, Machine Learning, Advanced Analytics, or Applied Research.
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- Robust expertise in statistics, predictive modelling, and experimental design.
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- Proven experience delivering end-to-end data science and machine learning solutions.
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- Hands-on experience with AI and Large Language Models (LLMs).
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- Expert-level Python programming skills, including:n n
- NumPy
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- Pandas
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- Scikit-learn
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- PyTorch and/or TensorFlow
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- Advanced SQL skills with experience working across complex datasets.
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- Experience with machine learning techniques including:n

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- Regression
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- Classification
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- Clustering
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- Ensemble methods
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- Feature engineering
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- Model optimisation
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- Solid understanding of MLOps/AIOps, model validation, and monitoring practices.
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- Ability to communicate complex technical concepts to business stakeholders.
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Highly Desirable

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- Master's or PhD in Data Science, Statistics, Mathematics, Physics, Computer Science, or a related quantitative discipline.
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- Experience working with large-scale, sensitive, or secure datasets.
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- Exposure to graph analytics, knowledge graphs, or graph databases.
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- Previous experience within government, public sector, defence, law enforcement, or other highly regulated environments.
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What's on Offer

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- Long-term contract through to June 2027.
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- Opportunity to work on large-scale AI, machine learning, and advanced analytics initiatives.
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- Collaborative team environment with exposure to cutting-edge technologies.
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- Meaningful work delivering data-driven outcomes in a mission-critical environment.
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Eligibility Applicants must be:

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- National Police Check
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- Baseline Security Clearance
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- Ability to obtain NV1 Security Clearance
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- Reference Checks
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If you are a highly skilled Senior Data Scientist with a passion for AI, machine learning, and solving complex analytical challenges, we would love to hear from you.

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📌 Senior Data Scientist (New South Wales)
🏢 M&T Resources
📍 New South Wales