Data Scientist

We are seeking a Data Scientist to:Conduct rigorous research and experimentation on emerging privacy-enhancing technologies,Design scalable, practical workflows suitable for government agency implementation, andDevelop comprehensive frameworks and guidelines to support the successful deployment of PETs.Job ScopeYou 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 partnersAgency Partnership & Pilot ImplementationCollaborate directly with 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 journeyEnd-to-End Solution Innovation & DevelopmentIdentify opportunities where PETs can address current common data challenges across governmentArchitect and develop scalable solutions designed for widespread adoption across the ecosystemEstablish clear implementation pathways and adoption frameworks for new privacy technologiesCross-Functional CollaborationWork as a collaborative team player alongside data scientists, data engineers, software engineers, and product managersPartner strategically with agencies to align technical solutions with the evolving landscape of regulatory requirements and governance frameworksRequirementsBachelors degree or higher in Computer Science, Data Science, Business Analytics or a related field, with at least 2-3 years of relevant professional experience.Core Data Science & ML skillsetStrong 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 reliabilityApplied Research & ExperimentationDemonstrated 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 challengesNice-to-HavesExperience 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.