- Exposure to complex, mission-critical environments
- Hybrid Working Arrangements - 50% WFH
- Contribute to a high-profile government transformation Program

About the Organisation

Our client is a large and complex government organisation focused on leveraging data, analytics, artificial intelligence and emerging technologies to support operational excellence and strategic decision-making. The organisation is investing heavily in advanced analytics capabilities, machine learning and modern data platforms to maximise the value of data while maintaining solid governance, security, privacy and ethical standards.

About the Role

We are seeking an experienced Senior Data Scientist to join a high-performing data and analytics team. This is a senior technical specialist position responsible for leading complex, high-impact data science, machine learning and AI initiatives across the organisation. The successful candidate will have deep expertise in advanced statistics, machine learning, Large Language Models (LLMs) and Artificial Intelligence, with the ability to translate complex business challenges into production-ready analytical solutions. You will take ownership of the full data science lifecycle from problem definition and experimental design through to model development, deployment, monitoring, validation and stakeholder engagement. This role will also act as a trusted advisor and mentor, driving best practice across advanced analytics, machine learning, AI governance and data science delivery.

Key Accountabilities and Outcomes

- Lead the design, development and delivery of Large Language Model (LLM) and AI-based solutions.
- Ensure AI solutions adhere to governance, privacy, ethical, security and human-in-the-loop requirements.
- Lead the development of advanced statistical, machine learning and predictive analytics solutions.
- Apply regression, classification, forecasting, time-series analysis, Bayesian methods, causal inference and hypothesis testing techniques.




- Design and implement machine learning frameworks using supervised and unsupervised learning methodologies.
- Develop deep learning solutions including Convolutional Neural Networks, Recurrent Neural Networks and transformer-based architectures.
- Own the end-to-end data science lifecycle including data ingestion, preparation, modelling, validation, deployment, monitoring and continuous improvement.
- Develop robust experimental designs and validation frameworks considering statistical significance, confidence intervals, power analysis, assumptions and bias.
- Work with large, complex relational and graph-based datasets to generate actionable insights.
- Ensure analytical approaches are explainable, reproducible, statistically valid and aligned with business objectives.
- Translate business requirements into advanced analytical and AI-driven solutions.
- Develop clear analytical methodologies, assumptions and decision frameworks.
- Conduct rigorous model testing, validation, optimisation and performance monitoring.
- Deliver data-driven recommendations that support operational tactical and strategic decision-making.
- Develop scalable analytics and machine learning solutions using Python and SQL.
- Collaborate closely with Data Engineering, Architecture, Platform and Business teams to support production deployment and operationalisation of models.
- Maintain high-quality codebases using version control, testing, documentation and MLOps best practices.
- Present analytical findings through reports, dashboards, visualisations, presentations and executive briefings.
- Provide mentorship and technical leadership to analysts and junior data scientists.
- Act as a trusted advisor to business stakeholders,



translating complex technical concepts into practical business outcomes.

Desired Experience and Capabilities

- 8-10 years of industry experience delivering advanced analytics, data science, machine learning, statistical modelling and AI solutions within complex environments.
- Proven experience leading end-to-end data science projects from problem definition through to deployment and operationalisation.
- Expert-level knowledge of advanced statistics, modelling, inference techniques and experimental design.
- Strong experience with machine learning including supervised learning, unsupervised learning, ensemble models, feature engineering, optimisation and evaluation frameworks.
- Practical experience with modern AI and deep learning technologies including NLP, computer vision, LLMs and transformer-based models.
- Expert-level Python programming skills, including experience with NumPy, Pandas, Scikit-learn, TensorFlow and/or PyTorch.
- Advanced SQL skills with experience working across large, complex datasets.
- Strong understanding of MLOps, model monitoring, validation, testing and continuous improvement practices.
- Experience working with sensitive and secure data environments.
- Demonstrated ability to communicate complex analytical concepts to non-technical audiences.
- Experience implementing governance, ethical AI, privacy and security controls in analytical solutions.
- Strong stakeholder engagement and business partnering skills.

Preferred Qualifications

- Tertiary qualification in Data Science, Statistics, Mathematics, Physics, Computer Science or a related quantitative discipline.
- Master's degree, PhD or significant research experience in applied analytics, machine learning or artificial intelligence.
- Industry certifications or specialised training in Artificial Intelligence, Machine Learning, Data Science or Cloud Technologies.
- Experience working within highly regulated or security-conscious environments.

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📌 Senior Data Scientist (Parramatta)
🏢 TEKsystems
📍 Parramatta