Duration: 1 Year Contract (Tentative from 02 Jan 2025 - 02 Jan 2026 **Project may start early in Nov 2024)
Location: Fusionpolis
Working hours: Mon - Fri (8am - 6pm)
Responsibilities:
The Data Privacy and Protection Capability Center (DPPCC) was set up to raise the government’s capabilities in data privacy and drive adoption of Privacy-Enhancing Technologies (PETs). As a Data Scientist in DPPCC, you will be breaking new ground in the emerging field of privacy engineering through working on impactful and scalable technologies, that help unlock the potential of data for public good.
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 to 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.
The team’s portfolio is currently working on evolving technologies includes such as LLM-powered approaches to PII etection and redaction Free-Text Anonymisation, Synthetic Data Generation, Homomorphic Encryption and Differential Privacy, and we plan to open new projects in other technologies (e.g., Federated Learning, Confidential Computing, Data Clean Rooms).
We are seeking a Data Scientist to:
(a) gather information on existing solutions for a PET
(b) run experiments to benchmark and evaluate potential optimal solutions
(c) design implementable workflows/ solutions that agencies can use
(d) and synthesize research on advancements, case studies, and benchmarks to develop materials that guide agency adoption and meet their needs. synthesize research on international case studies/ benchmarks and/or developing materials to guide agency adoption. and
(e) develop and deploy cloud-based implementations of optimal solutions.
Requirements:
- Bachelor’s degree or diploma in Computer Science, Data Science or a relevant field of study. Open to entry level candidates with relevant internship/projects experience.
- Has sufficient foundation in AI/ML model development to be able to run experiments according to user needs
- Experience with quantitative analysis, including machine learning frameworks and tools (e.g., scikit-learn, TensorFlow, PyTorch)
- Proficiency in at least one programming languages, such as Python or R
- Experience with the cloud (e.g. AWS, GCP, Azure)
- We value candidates with T-shaped competencies. Adjacent expertise in related areas like software development (e.g., cloud infrastructure, frontend technologies, backend with REST APIs) is a big plus.
- Has an inclination to read and synthesize research work, even in a new domain.
- Curiosity, willingness to learn and explore new domains, especially in data privacy and protection. While experience with privacy-enhancing technologies is a plus, we are happy for you to learn on the job.
- Inclination to work in a collaborative environment
- Machine learning frameworks and tools (scikit-learn, TensorFlow, PyTorch as examples)
- Proficiency in at least one programming language (e.g., Python, R)
- Experience with cloud infrastructure (e.g., AWS, GCP, Azure)
- Optional but highly valued: Frontend technologies, backend with REST APIs
Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.
https://go.persolkelly.com/job/apply/9429
We regret to inform that only shortlisted candidates will be notified.
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.
PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)
