54 Statistical Methods jobs in Singapore

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.

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.

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.

The successful candidate will work with Dr. Doudou Zhou on the development of novel statistical and machine learning methods for analyzing complex modern data under a project on Novel Methods for Analyzing High-Dimensional and Non-Euclidean Data.

This project aims to develop rigorous, scalable, and interpretable methods for real-world healthcare datasets such as electronic health records (EHR), which are often high-dimensional, multi-source, multi-modal, and incomplete. Methodological focus areas include reinforcement learning, transfer learning, multi-modal learning, high-dimensional statistics, graph neural network, change-point detection

The main responsibilities of the position include:
1. Conducting original research on statistical inference and machine learning for high-dimensional and/or multi-source data;
2. Developing and implementing algorithms for federated learning, generative modelling, and representation learning;
3. Preparing manuscripts for top-tier journals and conferences in statistics, machine learning, or biomedical informatics;
4. Contributing to mentoring graduate or undergraduate students when appropriate;
5. Assisting with grant reporting and collaborative project coordination.

• Qualifications / Discipline:
A Ph.D. in Statistics, Biostatistics, Computer Science, or a related quantitative discipline;
Strong foundation in statistical theory, machine learning, or computational methods.
Experience working with real-world biomedical or healthcare data is an advantage.
A demonstrated record of academic publications

• Skills:
Proficiency in programming languages such as Python or R.
Ability to design and implement statistical or machine learning algorithms.
Excellent analytical and problem-solving skills.
Strong written and verbal communication skills.
Ability to work independently and collaboratively in a multidisciplinary environment.

• Experience:
Prior research experience in at least one of the following areas would be preferred: high-dimensional statistics, reinforcement learning, multi-source/modal data, electronic health record (EHR) data analysis, or federated learning.

A strong publication record (or demonstrated potential) in peer-reviewed journals or top-tier conferences.

Experience working with real-world biomedical or healthcare data is an advantage.

Overview

You will be part of the Advisory Services team that promotes upskilling and career development and lifelong learning to various segments of individuals and enterprises through physical and digital touchpoints. Your role will involve managing and analysing data to continuously improve the quality of skill and career advisory. You will need to leverage insights from trends, performance metrics and stakeholder feedback to continually ensure that Advisory Services maintain standards of excellence.

Our ideal candidate is someone with a passion for data analysis and stakeholder engagement.

Data Management & Analysis

• Lead or support data-driven quality improvement projects aimed at enhancing advisory services
• Liaise with internal and external stakeholders on data governance matters to ensure data accuracy, consistency, and compliance with standards
• Review and manage case entries and other data sources to ensure integrity and usability for insights generation
• Conduct data analysis to identify trends and insights
• Prepare monthly reports and presentations for internal and/or external stakeholders on identified trends and insights
• Work with other team members to act on insights to improve advisory services continuously

Other

• Support event deployment on an ad-hoc basis
• Handle CRM (Client Relationship Management) cases to address clients' upskilling concerns on an ad-hoc basis
• Coordinate call assignments for Skills Ambassadors
• Perform all other duties assigned by supervisor or manager

• 1 to 3 years of relevant experience
• Strong organisational and data management skills, with the ability to manage monthly reporting
• Strong interest in data analysis
• Comfortable working with large datasets data visualisation tools (Tableau/ PowerBI) and large language models
• Creative skills to develop visually appealing materials
• Proficiency in using Microsoft Office, especially Excel and PowerPoint, and design software for creating materials
• Possess domain knowledge of the CET landscape and labour market (e.g. in-demand skills and job roles) to contextualize and support relevant data analysis will be an advantage
• Ability to work independently and as part of a team to meet deadlines
• Excellent business writing and communication skills to collaborate with various stakeholders
• Ability to converse in Mother Tongue is an advantage
• Experience in service excellence or CRM will be welcomed

Candidates who do not have the required qualification or relevant experience are welcome to apply.

Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.

Please note that only shortlisted candidates will be notified.

You will be responsible to develop data models and analyze data to provide insights and support decision-making through visualizations and predictive modeling.

Job Description

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

Requirements

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

• Remuneration bonuses package

• Conducive working environment

• Promising career prospect and advancement

Job Scopes:

• Design and implement data pipelines to extract, transform, and load (ETL) data from various sources to enable real-time visibility and decision-making
• Automate data cleansing and validation processes to improve overall data quality
• Develop and maintain dashboards and reports using business intelligence tools
• Establish data standards, governance frameworks, and best practices for data management
• Identify data quality issues and implement solutions to enhance reliability

Job Requirements:

• Diploma or degree qualification
• 3-5 years of related experience
• Microsoft Office, SQL, Power BI, Oracle
• Analytical and problem-solving skills
• Good communication and collaboration abilities

*** Sincere & Interested applicants, kindly forward your Updated resume (word doc format) to and CC: Allan (R **

You will be part of the Advisory Services team that promotes upskilling and career development and lifelong learning to various segments of individuals and enterprises through physical and digital touchpoints. Your role will involve managing and analysing data to continuously improve the quality of skill and career advisory.You will need to leverage insights from trends, performance metrics and stakeholder feedback to continually ensure that Advisory Services maintain standards of excellence.

Our ideal candidate is someone with a passion for data analysis and stakeholder engagement.

Core Responsibilities

Data Management & Analysis

• Lead or support data-driven quality improvement projects aimed at enhancing advisory services
• Liaise with internal and external stakeholders on data governance matters to ensure data accuracy, consistency, and compliance with standards
• Review and manage case entries and other data sources to ensure integrity and usability for insights generation
• Conduct data analysis to identify trends and insights
• Prepare monthly reports and presentations for internal and/or external stakeholders on identified trends and insights
• Work with other team members to act on insights to improve advisory services continuously

Other

• Support event deployment on an ad-hoc basis
• Handle CRM (Client Relationship Management) cases to address clients' upskilling concerns on an ad-hoc basis
• Coordinate call assignments for Skills Ambassadors
• Perform all other duties assigned by supervisor or manager

Requirements

• 1 to 3 years of relevant experience
• Strong organisational and data management skills, with the ability to manage monthly reporting
• Strong interest in data analysis
• Comfortable working with large datasets data visualisation tools (Tableau/ PowerBI) and large language models
• Creative skills to develop visually appealing materials
• Proficiency in using Microsoft Office, especially Excel and PowerPoint, and design software for creating materials
• Possess domain knowledge of the CET landscape and labour market (e.g. in-demand skills and job roles) to contextualize and support relevant data analysis will be an advantage
• Ability to work independently and as part of a team to meet deadlines
• Excellent business writing and communication skills to collaborate with various stakeholders
• Ability to converse in Mother Tongue is an advantage
• Experience in service excellence or CRM will be welcomed

Candidates who do not have the required qualification or relevant experience are welcome to apply.

Successful candidates will be offered a 2-year contract in the first instance and may be considered for an extension or be placed on a permanent tenure.

Please note that only shortlisted candidates will be notified.

• Create data models to meet various business needs by combining data from different sources for a comprehensive view of the data landscape.
• Clean, transform, and analyse data to extract valuable insights.
• Use statistical methods to identify trends, patterns, and correlations in the data.
• Present analysis results through interactive dashboards, visual reports, and data visualizations using Power BI to clearly communicate findings
• Develop and maintain predictive and statistical models using machine learning techniques to support decision-making processes.
• Write and optimize code to automate data collection, processing, and analysis tasks.
• Collaborate closely with other departments understand their data needs, provide analytical support, and develop customized data solutions.
• Continuously assess and refine data collection, processing, and analysis workflows to improve efficiency, reduce errors, and enhance data quality.

• Strong skills in writing Oracle SQL, optimizing database performance, and managing large data sets.
• Experience with Python and R for data analysis, statistical modelling, and automation tasks.
• Experience working with large data sets, cleaning, transforming, and analyzing data to generate insights.
• Strong understanding of statistical concepts
• Familiarity with data visualization tools like Power BI or similar platforms to create interactive dashboards and reports.
• Bachelor's degree or higher in IT-related, Statistical, or Mathematical.

As a risk assessment and data analysis expert, you will drive business decisions by combining actuarial knowledge with advanced data analytics skills.
Your Key Responsibilities

• Analyse treaty terms and product features in collaboration with actuarial and accounting teams to ensure accurate interpretation and implementation.
• Lead the onboarding of new treaties into our systems, ensuring accurate mappings, data consistency, and validation of results.
• Maintain high data quality by performing comprehensive checks, cleaning, and reconciliations, supporting portfolio management and pricing analysis.
• Design and maintain dashboards on Excel and Power BI to visualize, monitor, and analyse client data for business decision-making.
• Conduct ad-hoc analyses, including premium reconciliations, claims investigations, and preparation of datasets for experience studies and management reporting.
• Liaise with clients and internal stakeholders to identify, investigate, and resolve data issues, ensuring robust documentation and consistent data standards.
• Review and validate analytical outputs and data processes to ensure accuracy and uphold high-quality output from the team.
• Support junior members of the team in expanding their actuarial, systems, and insurance knowledge.

• Fellow of a recognized actuarial body.
• Bachelor's degree in Actuarial Science or related field, with a strong interest in data analytics.
• Minimum 3 years of experience in actuarial-related roles; experience in life insurance industry preferred.
• Proficient in Excel and SQL, with hands-on experience in data automation and managing large datasets.
• Skilled in data visualization, particularly using Power BI to develop clear and insightful dashboards.
• Strong analytical and problem-solving skills to interpret complex data structures and ensure high levels of data accuracy through thorough validation and reconciliation.