Data Scientist

FPT Asia Pacific; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading technology firm based in Singapore is seeking a Data Scientist to lead research on privacy-enhancing technologies. The candidate will design scalable workflows for government agency implementation and collaborate with agencies to address their unique privacy challenges. A strong foundation in machine learning, programming proficiency in Python, and experience with ML frameworks are essential. The role requires 2-3 years of relevant experience and a degree in a related field. This position offers an opportunity to innovate in a critical area of data science.

Qualifications

• 2-3 years of relevant professional experience in data science.
• Experience designing and conducting rigorous experiments.
• Comfortable working with ambiguous problems.

Responsibilities

• Conduct research on emerging privacy-enhancing technologies.
• Design scalable workflows for government agency implementation.
• Collaborate with agencies to address privacy challenges.

Skills

Strong foundation in machine learning

Strong programming proficiency in Python

Hands‑on experience in model development

Experience with ML frameworks

Ability to analyze model behavior

Education

Bachelors degree in Computer Science, Data Science, or related field

Tools

PyTorch

TensorFlow

scikit‑learn

Job description

About the job G03 - Data Scientist (Data Practice)

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, and
• Develop comprehensive frameworks and guidelines to support the successful deployment of PETs.

Job Scope

You will be involved in:

Applied Research & Development

• 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

End‑to‑End Solution Innovation & Development

• Identify opportunities where PETs can address current common data challenges across government
• Architect and develop scalable solutions designed for widespread adoption across the ecosystem
• Establish clear implementation pathways and adoption frameworks for new privacy technologies

Cross‑Functional Collaboration

• 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

• Bachelors 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 skillset

• 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 reliability

Applied Research & Experimentation

• 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

Nice-to-Haves

• 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.