Data Scientist (PET) Govtech

Singapore - Singapore

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

Research not mandatory now we have to share pool of Data Scientist. Candidate should have Mid Level exp.

Job Description: Data Scientist

Data Practice

Skillsets needed

require a strong Data Science/ML foundation (model development experimentation diagnosing issues).
use Python ML frameworks (PyTorch TensorFlow scikit-learn).
involve applied research curiosity strong communication skills and ability to explain DS concepts clearly.
multi-disciplinary teams working in fast-moving collaborative environments
Strong in ML experimentation applied research
Python programming experiment design & evaluation
Ability to synthesise & apply academic research
Comfortable with ambiguity and novel problem solving

Candidate Fit - Strong DS/ML research/experimentation; fit for those who enjoy exploring PETs running pilots and engaging directly with agency users

Orientation - Focused on exploratory research & agency pilots testing PET adoption

The Privacy team within Client Data Practice builds the governments 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 teams 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

You will be involved in:

Applied Research & Development a. 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 a. 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 a. 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

Cross-Functional Collaboration a. 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

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 ( experience working in multi-disciplinary teams.

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 in communication with the ability to explain complex technical concepts clearly to diverse audiences

Requirements

Ajai Agarwal

09 9291

Registration ID R1768374

Irtish Consulting Pte Ltd EA Licence 20S0377 Reg. No.E

Required Skills:

Data Scientist

Research not mandatory now we have to share pool of Data Scientist. Candidate should have Mid Level exp.Job Description: Data Scientist Data PracticeSkillsets needed require a strong Data Science/ML foundation (model development experimentation diagnosing issues).use Python ML frameworks (PyTorch...

Research not mandatory now we have to share pool of Data Scientist. Candidate should have Mid Level exp.

Job Description: Data Scientist

Data Practice

Skillsets needed

require a strong Data Science/ML foundation (model development experimentation diagnosing issues).
use Python ML frameworks (PyTorch TensorFlow scikit-learn).
involve applied research curiosity strong communication skills and ability to explain DS concepts clearly.
multi-disciplinary teams working in fast-moving collaborative environments
Strong in ML experimentation applied research
Python programming experiment design & evaluation
Ability to synthesise & apply academic research
Comfortable with ambiguity and novel problem solving

Candidate Fit - Strong DS/ML research/experimentation; fit for those who enjoy exploring PETs running pilots and engaging directly with agency users

Orientation - Focused on exploratory research & agency pilots testing PET adoption

Job Scope

You will be involved in:

Applied Research & Development a. 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 a. 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 a. 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

Cross-Functional Collaboration a. 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

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 ( experience working in multi-disciplinary teams.

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 in communication with the ability to explain complex technical concepts clearly to diverse audiences

Requirements

Ajai Agarwal

09 9291

Registration ID R1768374

Irtish Consulting Pte Ltd EA Licence 20S0377 Reg. No.E

Required Skills:

Data Scientist