Senior Consultant – Data Science

Location: Sydney, Canberra or Adelaide

Team: Data & AI within the Transformation Practice
Reports to: Manager or Associate Director, Data & AI

About Scyne Advisory
Scyne Advisory is a values-led professional services company committed to empowering Australia's transformation through trusted advice and solutions. We support governments and public purpose organisations to build more resilient, equitable, secure and prosperous communities. With specialist teams across Transformation, Risk, Cyber & Programs, and Commercial, Financial & Infrastructure, we help our clients deliver real-world outcomes at scale, underpinned by our values:
Stronger Together | Amplify Impact | Value Every Person | Build Trusted Relationships | Think Beyond Limits | Defined by Ethics

The Opportunity
We’re looking for a Senior Consultant with strong data science capabilities to join our expanding team. You will design, build and deploy advanced analytical and machine learning solutions that deliver tangible value across a range of industries including government, health, financial services (social insurance) and infrastructure. You will also help shape strategies and frameworks that uplift data science maturity in client organisations.

Key Responsibilities will include:

• Develop, test and deploy predictive and prescriptive models using structured and unstructured data
• Translate business challenges into data science problems and actionable solutions
• Design robust experiments (e.g. A/B testing, uplift modelling, causal inference)
• Apply statistical and machine learning techniques to unlock insights and automation
• Create clear and compelling visualisations and communications to present findings
• Work closely with data engineers, analysts and domain experts to ensure scalable, production-ready outcomes
• Contribute to client engagements including stakeholder workshops, delivery planning, and documentation
• Support capability uplift through mentoring and knowledge-sharing

Core Experience and Skills
We understand that candidates may bring different combinations of expertise. Below is an outline of the capabilities we’re looking for, with flexibility based on depth and context of experience:

To succeed in this role, you must have:

• 2-5 years of experience in applied data science or analytics
• Proficiency in Python and its data science ecosystem (e.g., pandas, scikit-learn, statsmodels, XGBoost)
• Strong grasp of statistical inference, experimental design and/or machine learning
• Experience using Databricks, Jupyter Notebooks or equivalent collaborative environments
• Demonstrated ability to work with cloud platforms (AWS, Azure, or GCP), ideally AWS or Azure
• Skilled in writing efficient SQL for data exploration and modelling
• Familiarity with version control, reproducibility and basic MLOps principles
• Proven experience developing data science domain strategies, frameworks, or strategic roadmaps
• Ability to explain technical concepts to both technical and non-technical audiences

You will stand out from the crowd if you also bring:

• Experience deploying ML models using MLflow, SageMaker or Azure ML
• Exposure to natural language processing, time series or geospatial analytics
• Familiarity with BI or visualisation tools (e.g. Power BI, Tableau, Plotly)
• Knowledge of CI/CD for model pipelines and containerisation (Docker, GitHub Actions)
• Prior consulting or advisory experience with external clients
• Understanding of data privacy, ethical AI and responsible ML principles
• Comfortable supporting workshops or strategic discussions with senior executives or cross-functional teams
• Relevant certifications in AWS, Azure or Databricks
• Ability to obtain Government Security Clearance

Why Join the Data & AI Team at Scyne Advisory?
Scyne Advisory’s Data & AI team is driven by purpose and powered by people. Here, you’ll tackle complex, real-world challenges with modern tools and public-purpose data alongside talented and driven colleagues to deliver outcomes that genuinely matter. We champion curiosity, inclusivity, and continuous learning - backed by strong pathways for growth and leadership. With flexible work arrangements and a human-first approach to wellbeing, you’ll thrive in a culture where every voice is heard and valued. If you're looking to make impact with your Data Science skills while growing your career, this is the place.

As a part of the Data & AI team at Scyne Advisory, your benefits will include:

• Enjoy industry-leading leave options, including:
  • 26 weeks paid parental leave for either caregiver
  • 4 weeks of annual leave, with an additional fifth week of paid leave to use across our annual summer shutdown period
  • Birthday leave, First Nations Cultural Leave, Floating Public Holidays
  • Purchased leave, study leave, volunteering leave and more
• Short and long-term performance-based incentive schemes, including employee share options
• Annual reimbursement for smart devices, wellness expenses, and lifestyle perks
• Access to Sonder, a digital care platform available to you and your family

Ready to Make an Impact?
If you share our mission to help public purpose organisations build better communities and want to lead meaningful technology transformation, we encourage you to apply or reach out for a conversation.

We encourage applications from those in marginalised and/or historically underrepresented communities within our workforce. Additionally, if you require any adjustments to the process, please let us know.