Data Scientist (Public Sector)

PEOPLE PROFILERS PTE. LTD.; Singapore; On-site; SGD 60,000 - 110,000; Full time

Job summary

People Profilers Pte Ltd in Singapore seeks a data scientist to collect and prepare large datasets, build pipelines, and apply ML techniques for operational insights.

The role involves creating dashboards and predictive models, working with time-series data and image analytics, and communicating findings to stakeholders. Strong analytical and cross-functional collaboration are required.

Qualifications

• Degree in data science, mathematics, statistics, AI, computer science or a related quantitative discipline.
• At least 1 year of hands-on experience in data science, ML, or real-time analytical projects.
• Proficient in Python, R, or SQL, with exposure to data analysis and visualisation libraries such as pandas, scikit-learn, matplotlib, or similar tools.
• Strong analytical thinking, problem-solving ability, and communication skills; able to translate data into insights.

Responsibilities

• Collect, clean, and prepare large datasets from multiple sources such as sensors, databases, operational systems, and external data platforms.
• Develop and maintain data workflows or pipelines to ensure data is reliable, accessible, and ready for analysis.
• Apply statistical analysis, machine learning, and data mining techniques to identify trends, patterns, and operational insights.
• Build predictive models for forecasting, classification, regression, and optimisation use cases within utility or infrastructure operations.
• Work with time-series data, deep learning models, and image-based analytics where required to support advanced analytical projects.
• Create dashboards, reports, and visualisations to present findings clearly to internal stakeholders and external users.
• Monitor model performance and improve analytical solutions to enhance accuracy, reliability, and business impact.
• Support research and innovation initiatives by exploring new data science methods, technologies, and applications for operational efficiency and sustainability.

Skills

Data science

Python

SQL

R

Machine learning

Data analysis

Visualization

Education

Bachelor's or higher in data-related field

Tools

Pandas

Scikit-learn

Matplotlib

Job description

Responsibilities

• Collect, clean, and prepare large datasets from multiple sources such as sensors, databases, operational systems, and external data platforms.


• Develop and maintain data workflows or pipelines to ensure data is reliable, accessible, and ready for analysis.


• Apply statistical analysis, machine learning, and data mining techniques to identify trends, patterns, and operational insights.


• Build predictive models for forecasting, classification, regression, and optimisation use cases within utility or infrastructure operations.


• Work with time-series data, deep learning models, and image-based analytics where required to support advanced analytical projects.


• Create dashboards, reports, and visualisations to present findings clearly to internal stakeholders and external users.


• Monitor model performance and improve analytical solutions to enhance accuracy, reliability, and business impact.


• Support research and innovation initiatives by exploring new data science methods, technologies, and applications for operational efficiency and sustainability.

Requirements

• Degree in Data Science, Mathematics, Statistics, Artificial Intelligence, Computer Science, or a related quantitative discipline.


• At least 1 year of hands-on experience in data science, machine learning, or real-time analytical projects.


• Proficient in Python, R, or SQL, with exposure to data analysis and visualisation libraries such as pandas, scikit-learn, matplotlib, or similar tools.


• Strong analytical thinking, problem-solving ability, and communication skills, with the ability to work with cross-functional teams and translate data into useful insights.

People Profilers Pte Ltd, 20Cecil Street, #08-09, PLUS Building, Singapore 049705.
Tel: [phone]

http://www.peopleprofilers.com