Data Scientist

Job Description

• Design and execute rigorous experiments to evaluate emerging PETs and solutions
• Develop proof-of-concepts that demonstrate real-world applicability and measurable impact
• Stay current with academic research and translate findings into practical, deployable solutions
• Contribute to the broader community through publications and knowledge sharing with government and international partners
• Collaborate directly with agencies to deeply understand their unique privacy challenges and operational constraints
• Design and execute pilot programmes to test PET solutions
• Systematically gather user feedback and iterate on solutions based on practical deployment experiences and lessons learned
• Provide ongoing technical consultation and hands-on support to agencies throughout their privacy technology adoption journey
• Identify opportunities where PETs can address current common data challenges across agencies
• Architect and develop scalable solutions designed for widespread adoption across the WOG ecosystem
• Establish clear implementation pathways and adoption frameworks for new privacy technologies
• Work as a collaborative team player alongside data scientists, data engineers, software engineers, and product managers
• Partner strategically with agencies to align technical solutions with the evolving landscape of regulatory requirements and governance frameworks

Requirements

• Bachelor's degree or higher in Computer Science, Data Science, Business Analytics or a related field, with at least 2-3 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 optimize performance and reliability
• Demonstrated ability to read, synthesize, and critically evaluate academic research papers and technical literature
• Experience designing and conducting rigorous experiments to validate hypotheses and measure solution effectiveness
• Comfort working with ambiguous problems and developing novel approaches to complex challenges
• Experience with privacy-enhancing technologies, including but not limited to anonymisation, synthetic data generation or differential privacy.
• Familiarity with frontend integration workflows ).
• Prior experience working in multi-disciplinary teams.
• Curiosity 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 audiences

This is a 1-year Contract position under People Advantage(Certis Group). We appreciate your application and regret only shortlisted candidates will be notified.

By submitting your resume, you consent to the handling of your personal data in accordance with Certis Group Privacy Policy ).

EA Personnel Name: Siti Khatijah

EA Personnel No: R

EA License No: 11C3955