Senior Data Engineer

SPAN CONSULTANCY SERVICES PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading consultancy firm in Singapore seeks a Data Scientist to lead research and development of privacy-enhancing technologies. The role involves designing experiments, collaborating closely with government agencies, and developing scalable solutions for data challenges. Candidates should possess a Bachelor’s degree or higher in Computer Science or related fields, with 2–3 years of relevant experience, and strong skills in machine learning and Python programming. This position offers a dynamic environment conducive to innovation and collaboration.

Qualifications

• 2–3 years of relevant professional experience in data science or a related field.
• Ability to work collaboratively with cross-functional teams.
• Strong understanding of machine learning techniques and their applications.

Responsibilities

• Design and execute experiments to evaluate emerging privacy-enhancing technologies.
• Collaborate with government agencies to address privacy challenges.
• Architect and develop scalable solutions for data challenges.
• Conduct research to translate findings into practical solutions.

Skills

Machine Learning

Python programming

Data Analysis

Experiment Design

Education

Bachelor’s degree in Computer Science

Master’s degree in Data Science or Business Analytics

Tools

PyTorch

TensorFlow

scikit-learn

Job description

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.

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.

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 company.
• 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 government agencies to align technical solutions with the evolving landscape of regulatory requirements and governance.

Qualifications

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.

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.

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.