Roles & Responsibilities
- 1-year contract, renewable
- Hybrid work arrangement
- Government project
The teams portfolio currently includes Advanced Anonymisation, Synthetic Data Generation, Homomorphic Encryption, Differential Privacy, Federated Analytics, Federated Learning and Trusted Execution Environments.
We are seeking a Data Scientist to :
(a) Conduct rigorous research and experimentation to evaluate emerging privacy solutions,
(b) Design scalable, implementable workflows tailored for government agency adoption, and
(c) Create comprehensive guidelines and frameworks that enable successful deployment of PETs.
You will be involved in :
Applied Research & Development
Design and execute rigorous experiments to evaluate emerging PETs and solutionsDevelop proof-of-concepts that demonstrate real-world applicability and measurable impactStay current with academic research and translate findings into practical, deployable solutionsContribute to the broader community through publications and knowledge sharing with government and international partners2. Agency Partnership & Pilot Implementation
Collaborate directly with government agencies to deeply understand their unique privacy challenges and operational constraintsDesign and execute pilot programmes to test PET solutionsSystematically gather user feedback and iterate on solutions based on practical deployment experiences and lessons learnedProvide ongoing technical consultation and hands-on support to agencies throughout their privacy technology adoption journey3. End-to-End Solution Innovation & Development
Identify opportunities where PETs can address current common data challenges across governmentArchitect and develop scalable solutions designed for widespread adoption across the Whole of Government ecosystemEstablish clear implementation pathways and adoption frameworks for new privacy technologies4. Cross-Functional Collaboration
Work as a collaborative team player alongside data scientists, data engineers, software engineers, and product managersPartner strategically with government agencies to align technical solutions with the evolving landscape of regulatory requirements and governance frameworksRequirements
Bachelors degree or higher in Computer Science, Data Science, Business Analytics or a related field, with at least 4 years of relevant professional experience.Strong foundation in machine learning, with hands-on experience in model development and experimentation.Strong programming proficiency in Python and extensive experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).Ability to analyze model behavior, diagnose training issues, and design experiments to optimise performance and reliabilityDemonstrated ability to read, synthesise, and critically evaluate academic research papers and technical literatureExperience designing and conducting rigorous experiments to validate hypotheses and measure solution effectivenessComfort working with ambiguous problems and developing novel approaches to complex challengesExperience with privacy-enhancing technologies, including but not limited to anonymisation, synthetic data generation or differential privacy.Familiarity with frontend integration workflows (Next.js / React).Prior experience working in multi-disciplinary teams. 5. Mindset & CollaborationCuriosity and willingness to learn new domains (esp. data privacy).Strong communication skills to explain technical concepts to both engineers and non-technical stakeholders.Inclination to work in a collaborative, fast-moving Agile environment.Strong in communication with the ability to explain complex technical concepts clearly to diverse audiencesTell employers what skills you have
TensorFlow
Machine Learning
Product Innovation
Applied Research
Experimentation
Architect
NLTK
Infocomm Security and Data Privacy
PyTorch
privacy and data protection
Python
Business Analytics
Data Science
Data Privacy
Encryption
Django