Data Scientist (Data Practice)

Our client, one of Asia-Pacific’s leading organizations is looking for:
Data Scientist (Data Practice)

Responsibilities:

• 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 government 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 government
• Architect and develop scalable solutions designed for widespread adoption
• 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 government agencies to align technical solutions with the evolvinglandscape 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 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 behaviour, diagnose training issues, and design experiments to optimise performance and reliability
• Demonstrated ability to read, synthesise, 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 (Next.js/React).
• 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

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Interested applicants can also email CV at [email protected] (for faster processing, please state the exact job / position title applied “Data Scientist (Data Practice)”

Only shortlisted candidates will be notified.

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EA License Number: 10C3636
EA Personnel Name: Jagveer Singh Arora
EA Personnel Registration Number: R22109615

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