Data Scientist (Privacy Engineering & Applied Research)

SECOND TALENT SG PTE. LTD.; Serangoon Garden Circus; On-site; SGD 60,000 - 80,000; Full time

Job summary

A technology solutions company in Singapore is seeking a Data Privacy Specialist to enhance national capabilities in privacy technologies. You will lead applied research, collaborate with stakeholders, and design innovative privacy solutions. Candidates should have strong programming skills in Python and a background in data science or machine learning. This role offers an opportunity to work at the intersection of research and practical implementation.

Qualifications

• Minimum 2–3 years of hands-on experience in data science, ML, or applied research.
• Demonstrated experience designing experiments and analyzing model performance.
• Proven ability to interpret and apply academic research to practical solutions.

Responsibilities

• Design and execute experiments to evaluate emerging PETs.
• Collaborate with stakeholders to understand privacy challenges.
• Identify opportunities where PETs can solve cross-agency data challenges.

Skills

Python

Machine Learning

Data Science

Applied Research

Education

Bachelor’s degree or higher in Computer Science, Data Science, or related discipline

Tools

PyTorch

TensorFlow

scikit-learn

Job description

Overview

Our Data Privacy Practice advances national capabilities in privacy-enhancing technologies (PETs) and responsible AI adoption. We combine applied research, engineering, and partnership with public-sector organizations to ensure data can be used safely and effectively for public benefit.

The team’s portfolio includes Advanced Anonymisation, Synthetic Data Generation, Homomorphic Encryption, Differential Privacy, Federated Analytics, Federated Learning, and Trusted Execution Environments. We aim to bridge research and implementation, translating complex PETs into practical, deployable solutions.

Key Responsibilities

1. Applied Research & DevelopmentDesign and execute experiments to evaluate emerging PETs.
   Build proof‑of‑concepts demonstrating real‑world applicability and measurable impact.
   Stay current with academic research and translate insights into production‑ready solutions.
   Contribute to knowledge‑sharing efforts through technical documentation and publications.
2. Partnership & ImplementationCollaborate with stakeholders to understand privacy challenges and operational constraints.
   Lead pilot programs to validate PET adoption and gather user feedback.
   Provide ongoing technical consultation and support through deployment stages.
3. Solution Design & InnovationIdentify opportunities where PETs can solve cross‑agency data challenges.
   Architect scalable, interoperable privacy solutions for large‑scale use.
   Define frameworks and best practices for sustainable technology adoption.
4. Cross‑Functional CollaborationWork with data scientists, engineers, and product managers to align research and implementation.
   Ensure solutions comply with evolving data governance and regulatory requirements.

Requirements

• Bachelor’s degree or higher in Computer Science, Data Science, or related discipline.
• Minimum 2–3 years of hands‑on experience in data science, ML, or applied research.
• Strong programming skills in Python and frameworks such as PyTorch, TensorFlow, or scikit‑learn.
• Demonstrated experience designing experiments and analyzing model performance.
• Proven ability to interpret and apply academic research to practical solutions.

Preferred Skills

• Experience in PETs (anonymisation, synthetic data generation, differential privacy).
• Knowledge of cloud environments and ML deployment workflows.
• Familiarity with frontend integration (React, Next.js) is a plus.