Data Scientist, National Jobs-Skills Data Office (RAD)

Skills and Workforce Development Agency; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Skills and Workforce Development Agency (SSG) invites a Data Scientist to join the National Jobs-Skills Data Office. You will transform complex data into actionable insights, building ML and graph models to support Singapore's skills intelligence and workforce planning.

You'll design experiments, deploy analytical solutions, and collaborate with policy, product, and data teams to deliver data-informed decisions across government partners. Strong Python/SQL skills and NLP experience are essential.

Qualifications

• Background in data science, statistics, machine learning, or related quantitative disciplines.
• Proficiency in Python and SQL for data analysis, modeling, and data pipeline development.
• Experience with unstructured data processing, particularly text using natural language processing (NLP).
• Proven track record in developing, evaluating, and validating statistical or machine learning models using appropriate validation approaches and performance metrics.
• Familiarity with data visualization tools and techniques for presenting complex analytical insights to diverse audiences.
• Knowledge of labour market, workforce, or skills data and analytics.

Responsibilities

• Develop and deploy advanced analytical models to extract deeper insights from jobs, skills, and tasks data, applying statistical and machine learning techniques including feature engineering, model selection, and validation using appropriate performance metrics.
• Design and build scalable data infrastructure by creating modular, reusable data pipelines and prototyping advanced analytics solutions that operationalize insights to support evolving stakeholder needs across various partnership levels.
• Translate complex data signals into strategic insights through close collaboration with product and policy teams, ensuring analytical outputs meaningfully inform workforce and industry planning decisions that align with national skills development objectives.
• Drive continuous analytical improvement by evaluating and enhancing existing methodologies, incorporating new data sources, external datasets, and robust model validation frameworks to strengthen the analytical foundation.
• Lead analytical partnerships and collaborations by scoping and supporting projects with internal divisions and external partners, translating stakeholder requirements into well-defined data science problem statements and delivering comprehensive analytical solutions.
• Contribute to national jobs-skills data assets including the development of structured taxonomies, entity extraction pipelines, and knowledge graph representations that support Singapore's skills intelligence ecosystem.
• Champion research-backed innovation by staying current with emerging analytical techniques, tools, and methodologies, ensuring SIPD maintains cutting-edge capabilities in workforce analytics and skills intelligence.

Skills

Python

SQL

NLP

Data visualization

Statistics

Machine learning

Labour market data

Education

Bachelor's degree in a quantitative field

Job description

SSG is a dynamic and forward-thinking organization dedicated to empowering individuals and shaping the future of Singapore's workforce. As the National Skills Authority, SSG leads the charge in driving the SkillsFuture movement, a national initiative that promotes lifelong learning and skills development. With a strong focus on innovation and collaboration, SSG works closely with employers, training providers, and individuals to create a vibrant ecosystem of learning and growth. By offering a wide range of initiatives, programs, and funding schemes, SSG enables individuals to unlock their full potential, acquire new competencies, and stay ahead in a rapidly changing job market.

The National Jobs-Skills Data Office, under the Skills Intelligence and Planning Division, serves three corefunctions:

• Data and Algorithms Innovation and R&D:Undertake development of new data models and algorithms to serve whole of government’s jobs-skills intelligence needs;
• Jobs-Skills Product Management, Development and Delivery: Manage and enhance jobs-skills products, which includes UX/UI design and end-to-end product life cycle management;
• Data Management and Operations: Centrally manage data quality, data models and data infrastructure to support internal and external users

Come join this game-changing teamin SSG, where we empower employers, citizens, training providers, and policymakers to make informed decisions by using a user-centered approach, providing trusted source of jobs-skills data and insights, and a common set of jobs-skills taxonomies for a skills-first future!

As a Data Scientist, you will be a key member of the Data and Algorithms Innovation and R&D team,transforming complex data into meaningful insights that drive strategic decisions, building statistical, machine learning and graph models to solve real-world problems, designing experiments to measure impact and communicatingfindings clearly to both technical and non-technical stakeholders. By combining analytical thinking, programming skills and policy understanding, you will help uncover opportunities, solve real-world problems and guide data-informed decision-making across SSG.

• Develop and deploy advanced analytical modelsto extract deeper insights from jobs, skills, and tasks data, applying statistical and machine learningtechniques including feature engineering, model selection, and validation using appropriate performance metrics
• Design and build scalable data infrastructureby creating modular, reusable data pipelines and prototyping advanced analytics solutions that operationalize insights to support evolving stakeholder needs across various partnership levels
• Translate complex data signals into strategic insightsthrough close collaboration with product and policy teams, ensuring analytical outputs meaningfully inform workforce and industry planning decisions that align with national skills development objectives
• Drive continuous analytical improvementby evaluating and enhancing existing methodologies, incorporating new data sources, external datasets, and robust model validation frameworks to strengthen the analytical foundation
• Lead analytical partnerships and collaborationsby scoping and supporting projects with internal divisions and external partners, translating stakeholder requirements into well-defined data science problem statements and delivering comprehensive analytical solutions
• Contribute to national jobs-skills data assetsincluding the development of structured taxonomies, entity extraction pipelines, and knowledge graph representations that support Singapore's skills intelligence ecosystem
• Champion research-backed innovationby staying current with emerging analytical techniques, tools, and methodologies, ensuring SIPD maintains cutting-edge capabilities in workforce analytics and skills intelligence

Requirements

Experience:

• Background in data science, statistics, machine learning, or related quantitative disciplines with demonstrated experience applying analytical techniques to both structured and unstructured datasets
• Proficiency in Python and SQL for data analysis, modeling, and data pipeline development, with experience in machine learning model deployment or productionization
• Experience with unstructured data processing, particularly text or language data using natural language processing, language models, or text analytics techniques
• Proven track record in developing, evaluating, and validating statistical or machine learning models using appropriate validation approaches and performance metrics
• Familiarity with data visualization tools and techniques for presenting complex analytical insights to diverse audiences
• Knowledge of labour market, workforce, or skills-related data and analytics

Analytical and Problem-Solving Competencies:

• Strong analytical mindset with ability to break down complex or ambiguous problems into structured analyses and testable hypotheses
• Experience in translating business requirements into technical solutions and communicating findings effectively to diverse stakeholder groups

Collaboration and Communication Skills:

• Excellent communication abilities to explain analytical findings and technical concepts clearly to non-technical stakeholders, including policy makers and senior leadership
• Self-driven contributor with strong ownership of analytical workstreams and proven ability to collaborate effectively across product, research, and policy teams
• Experience in managing multiple projects simultaneously while maintaining high standards of analytical rigor and delivery quality

Successful candidates will be offered a contract in the first instance and may be considered for an extension or be placed on a permanent tenure.

Candidates are encouraged to sign up for a Careers & Skills Passport (CSP) account and include your CSP public profilein your resume. Please check out www.myskillsfuture.gov.sg for details on the CSP.