Data Scientist (Data Practice)

Alphaeus Pte Ltd; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading data technology company in Singapore is seeking a Data Scientist to leverage machine learning and AI to develop Privacy-Enhancing Technologies. The role involves conducting research, designing scalable workflows for government agencies, and collaborating with diverse teams to advance data privacy initiatives. The ideal candidate has a Bachelor's degree in a related field and 2-3 years of professional experience, with a robust skill set in machine learning, Python, and model development.

Qualifications

• 2-3 years of relevant professional experience in a data-related field.
• Strong foundation in machine learning, with hands-on experience in model development.
• Ability to analyze model behavior and design experiments to optimize performance.

Responsibilities

• Conduct research and experimentation to evaluate emerging privacy solutions.
• Design workflows tailored for government agency adoption.
• Collaborate with agencies to understand privacy challenges.

Skills

Machine learning

Python

Model development

Statistical analysis

Collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

TensorFlow

scikit-learn

Job description

GovTech Data Practice

The Privacy team within GovTech’s Data Practice builds the government’s capabilities in data privacy and advances the adoption of Privacy-Enhancing Technologies (PETs). As a Data Scientist with us, you will be at the forefront of privacy engineering; leveraging machine learning and AI to develop scalable, impactful technologies that enable safe and effective data sharing. Our mission is to unlock the potential of data for public good while upholding the highest standards of privacy and security. By protecting citizen data and strengthening trust, we empower agencies to deliver better digital services for all.

PETs are not new, but they have been challenging to implement in real use cases, whether within or outside of government. The team aims to bridge the gap between research and adoption through experimentation and piloting with agencies to assess the feasibility and utility of each technology, and prepare them for wider adoption in government, whether it be through building products, evaluating current solutions, developing clear guidelines around usage or education.

For example, the team has built tools like Cloak, used by 100+ agencies to anonymise over 30M documents for analytics and Generative AI, and Mirage for Synthetic Data Generation; an emerging technology that creates safe, shareable alternatives to sensitive data.

The team’s 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.

Job Scope

1. 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.
2. Agency Partnership & Pilot Implementation
   • 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.
3. 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 Whole of Government ecosystem.
   • Establish clear implementation pathways and adoption frameworks for new privacy technologies.
4. Cross‑Functional Collaboration
   • 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 evolving landscape of regulatory requirements and governance frameworks.

Requirements

1. 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.
2. 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 analyse model behaviour, diagnose training issues, and design experiments to optimise performance and reliability.
3. 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.
4. 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.
5. Mindset & Collaboration
   • 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 communication with the ability to explain complex technical concepts clearly to diverse audiences.