69 Statistics jobs in Singapore

Maritime and Port Authority of Singapore

Permanent

What the role is

Undertake the function of Economist in the Research & Statistics department (RSD) to (i) work with business users to understand and address data and analysis requirements, (ii) undertake economic analysis to transform data into insights and knowledge for policymaking, and (iii) support the conduct of surveys.

What you will be working on

• Work with business users within MPA to understand their needs and challenges, scope problems and develop economics-related use cases.
  Transform data into insights and data solutions by- ing qualitative and quantitative analyses, econometric modelling, and forecasting techniques.
• Coordinate research and analysis by tapping on various data sources (both unstructured and structured). Employ effective use of appropriate software and programming to clean, wrangle and organise data into clear and appropriate business commentary for publications and action by user divisions.
• Support the conduct of surveys to collect data from maritime firms for analysis
• Develop logically structured presentations including narratives of research and/or analytics findings to secure stakeholder commitment. This can include data visualizations and dashboards to explain these results.

What we are looking for

• Background in Economics, Business Analytics, Applied Statistics, or other related disciplines that possess an analytical and quantitative component.
• Able to code using Python/R and data visualization tools to perform data analysis and communicate findings.
• Strong knowledge of econometrics and business concepts is a plus
• Strong communication skills with ability to articulate and present complex data insights and information for broad range of audience in a concise and actionable manner
• Creative and innovative in solving problems.
• Achievement driven and delivery focused while maintaining required quality.
• Team player with strong organisational and people management skills.

About Maritime and Port Authority of Singapore

"The Maritime and Port Authority of Singapore (MPA) was established on 2 February 1996, with the mission to develop Singapore as a premier global hub port and international maritime centre (IMC), and to advance and safeguard Singapore's strategic maritime interests.
MPA is the driving force behind Singapore's port and maritime development, taking on the roles of Port Authority, Port Regulator, Port Planner, IMC Champion, and National Maritime Representative.
MPA partners the industry and other agencies to enhance safety, security and environmental protection in our port waters, facilitate port operations and growth, expand the cluster of maritime ancillary services, and promote maritime R&D and manpower development."

About your application process

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within Maritime and Port Authority of Singapore or the wider Public Service.

Overview

The NUS High School is a specialised school offering a seamless 6-year programme to students between the ages of 12+ and 18 years who have an aptitude for Mathematics and Science. We invite suitable applicants for the following position.

Head of Department in the following subject: Math & Statistics — we are looking for candidates who possess a relevant professional teaching qualification (or Post-Graduate Diploma Education equivalent) and

• have a passion in the relevant teaching subjects and inspire students to love the subjects via teaching and role modelling
• can participate and contribute to the planning, development and teaching of an integrated 6-year curriculum in the relevant teaching subjects
• are effective within and outside the classroom, adopt innovative pedagogies such as IT-enabled learning, differentiated learning, collaborative learning and learner-focused interaction
• can initiate and mentor research projects
• are able to provide for the learning needs and character development of high-ability learners ranging from 12+ to 18 years of age

• A good Bachelor’s or higher degree in Mathematics/Applied Mathematics
• Possess a relevant professional teaching qualification (or Post-Graduate Diploma Education equivalent)
• Competent in teaching Mathematics at GCE O-Level and/or GCE A-Level H2 and/or H3 content
• Driven and able to lead the department in designing, implementing and evaluating an integrated 6-year Math & Statistics curriculum
• Able to collaborate with key personnel, stakeholders and external partners in curriculum innovation and strategic planning at the school level
• Experience in curriculum and/or management work in secondary schools or junior colleges would be advantageous

2-year contract, subject to renewal

Remuneration will be commensurate with qualifications and experience. Interested applicants, please email your detailed resume to

Only shortlisted candidates will be notified.

The NUS High School is a specialised school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science. We invite suitable applicants for the following position.

Head of Department in the following subject: Math & Statistics

We are looking for candidates who possess a relevant professional teaching qualification (or Post-Graduate Diploma Education equivalent) and

· have a passion in the relevant teaching subjects and inspire students to love the subjects via teaching and role modelling

· can participate and contribute to the planning, development and teaching of an integrated 6-year curriculum in the relevant teaching subjects

· are effective within and outside the classroom, adopt innovative pedagogies such as IT-enabled learning, differentiated learning, collaborative learning and learner-focused interaction

· can initiate and mentor research projects

· are able to provide for the learning needs and character development of high-ability learners ranging from 12+ to 18 years of age

Requirements:

· A good Bachelor's or higher degree in Mathematics/Applied Mathematics

· Possess a relevant professional teaching qualification (or Post-Graduate Diploma Education equivalent)

· Competent in teaching Mathematics at GCE O-Level and/or GCE A-Level H2 and/or H3 content

· Driven and able to lead the department in designing, implementing and evaluating an integrated 6-year Math & Statistics curriculum

· Able to collaborate with key personnel, stakeholders and external partners in curriculum innovation and strategic planning at the school level

· Experience in curriculum and/or management work in secondary schools or junior colleges would be advantageous

Employment Terms:

2-year contract, subject to renewal

Remuneration will be commensurate with qualifications and experience. Interested applicants, please email your detailed resume to

Only shortlisted candidates will be notified .

Info-communications Media Development Authority

Fixed Terms

What the role is

You will be part of the RSU team within IMDA's Strategic Planning and Digital Readiness Group. This team undertakes data analytics and economic research, to sense make and guide strategy and policy development in IMDA. The team also closely supports IMDA's line divisions' needs for data and statistics for policy and programme formulation. In this role, you will analytical framework and techniques on a variety of data types to derive policy and programme insights.

We would like to invite an independent and self-motivated individual with a keen interest in driving the growth of Singapore's digital economy and digital society to join us.

What you will be working on

• Conduct research and analysis to gain insights into current trends and forecast developments in the digital economy and digital society.
• Quantitatively assess the economic and social impacts of IMDA's policies and programmes.
• Collaborate effectively with stakeholders within and outside the organisation to define data needs, supporting evidence-based policy and strategy development.
• Engage in data acquisition, quantitative modelling, and advanced analytics, including data visualization, to provide actionable insights.
• Identify and implement data-driven initiatives to foster innovation and reinforce a data-centric approach within the organization.
• Provide data and statistical support for policy and programme formulation.

What we are looking for

• Background in Economics, Statistics, Data Science or a closely related field.
• 4-5 years of experience in quantitative research and analysis.
• Proficiency in statistical software and programming languages such as Python, R and Stata.
• Familiarity with data visualisation techniques and tools such as Tableau.
• An independent, self-motivated individual with the ability to tackle complex issues and thrive in cross-functional teams.
• Exceptional written and verbal communication skills, with a talent for presenting complex data in a clear and persuasive manner.

About Info-communications Media Development Authority

Info-communications Media Development Authority ) offers a rewarding career that gives you a front seat in the fast-changing infocomm media sector, where technology and content are shaping the way people view the world more than ever.
We offer a wide range of opportunities, where talented individuals and teams can make a difference. Whether you are developing a telecommunications policy affecting consumers or spearheading a scheme to nurture budding media talents, each member of IMDA contributes towards driving innovation, enhancing productivity for economic growth, and improving the quality of life for all Singaporeans.
As a statutory board in the Ministry of Communications and Information, IMDA promotes and regulates the infocomm and media sectors.

About your application process

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within Info-communications Media Development Authority or the wider Public Service.

Department of Statistics

Internship

Closing on 29 Sep 2025

What the role is

Our team gathers international investment statistics through comprehensive surveys and utilisation of diverse data sources. Given the substantial volume of data collected, we require robust data processing systems to produce timely and accurate statistics.

What you will be working on

In this role, you will collaborate with our data team to:
- Design and implement end-to-end data pipelines that transform raw investment data into meaningful statistics, ensuring efficiency and data quality throughout the process
- Review and optimise existing data processing workflows to enhance productivity and reduce manual intervention
- Create comprehensive documentation for data models, pipelines, and processing logic to ensure maintainability
This hands-on position offers unique exposure to both technical and domain expertise. You'll gain practical experience in data engineering whilst developing a thorough understanding of how investment statistics are collected, processed, and utilised by stakeholders.

What we are looking for

• Strong data analytics skills with Python programming experience
• Familiarity with data warehousing concepts and ETL/ELT processes
• Proven ability to break down complex problems and design systematic solutions
• Interest in International Investment statistics
• Strong analytical mindset with excellent problem-solving capabilities
• Clear communication skills, particularly in explaining technical concepts
• Proactive learner with enthusiasm for new technologies and methodologies
  Preferred Discipline : Undergraduates from Data Science, Statistics, Computer Science, Economics, or related fields
  Internship Duration: 6 months (Jan-Jun 2026)

About Department of Statistics

The Singapore Department of Statistics is the National Statistical Authority responsible for statistics on the Singapore economy and population.
We collect, compile, analyse and disseminate a wide range of economic, business, household and population data, as well as analyse and monitor trends in the economy and population.
With these vital inputs, policymakers, business decision makers and our data users gain valuable insights into current and emerging economic and social trends, enabling them to make calculated and informed decisions in the formulation of policies and strategies for the future. Apart from public agencies and businesses, our users also include researchers, analysts, educators, students, the media and the general public.
Join our team and make a difference by contributing important statistical input to facilitate policy planning and decision-making and support Singapore's present and future economic and social development.

About your application process

This job is closing on 29 Sep 2025.

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within Department of Statistics or the wider Public Service.

Job Title:
Teaching Assistant (Statistics and Data Science)
Posting Start Date:
08/08/2024
Job Description
Applications are invited for the position of
Teaching Assistant
at the Department of Statistics and Data Science, National University of Singapore.
Successful candidates are expected to commit to two years of full-time service. Depending on the experience and expertise, the candidate will be involved in the teaching of:
Undergraduate (UG) courses;
Continuing Education and Training (CET) classes for adult learners.
As a Teaching Assistant (TA), you will have the opportunity to share your expertise and passion for statistical and data science with undergraduates or adult learners.
Responsibilities
Demonstrate a deep understanding and expertise in the subject matter.
Work with the course coordinator in the development of teaching and assessment materials.
Act as a lead TA and help the course coordinator manage a team of part-time student teaching assistants.
Provide constructive and insightful feedback to the course coordinator and students.
Engage in academic interaction with adults from all disciplines.
Capture and maintain students' attention, making each class engaging, interactive, and memorable.
Enhance the learning experience by integrating practical examples and real-world case studies.
Demonstrate excellent organizational skills, ensuring a well-paced class.
Qualifications
At least a bachelor's degree in statistics, data science, mathematics, or related fields, preferably with experience in teaching or practicing empirical quantitative work.
Proficiency in data tools such as R, Power BI, Orange, Tableau, Excel, Python, etc.
Excellent oral and written communication skills.
Resourceful and up-to-date with changes in the field of statistics, analytics, and data visualization.
Proactive and reflective about teaching practice.
Able to foster strong collaboration with colleagues.
Prior experience in teaching adults is advantageous.
More Information
Location:
Kent Ridge Campus
Organization:
Science
Department:
Statistics and Data Science
Employee Referral Eligible:
No
Job requisition ID:
21252
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Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

One Research Fellow position is currently available in the Department of Statistics and Data Science, National University of Singapore.

The successful candidate will work with Professor Zhou Wang on random matrix theory under a project on Toward Robustness Against Distribution Shift in the Open Environment.

The main responsibilities of the position include:
- Develop random matrix theory, especially for sample covariance matrices.

Qualifications / Discipline:
- The candidate should have a PhD degree in statistics or related area.
- Candidate with strong background in probability and machine learning would be a plus.

Skills:
- The applicant is expected to develop random matrix theory, especially for sample covariance matrices.

Experience:
- The candidate should have research experience of 2-3 years.