54 Digital Twin jobs in Singapore

We are a pioneering startup revolutionizing digital twin technology, harnessing the power of AI to create photorealistic 3D city models at global scale.

As a Senior Unreal Engine Game Developer, you will lead high-profile projects focused on real-time 3D applications, leveraging your expertise in designing scalable, maintainable, and reusable system architectures. You will collaborate closely with cross-functional teams to deliver visually stunning client-ready real-time 3D applications and provide technical guidance to the development team.

• Develop and deliver advanced digital twin solutions using Unreal Engine (preferably UE5), driving innovation and excellence.
• Architect modular and maintainable systems to support growing project complexity and future expansion, ensuring seamless scalability.
• Collaborate with technical artists, designers, and project managers to meet project requirements and deadlines, fostering a culture of collaboration and shared success.
• Guide best practices in coding, workflows, and version control across the team, promoting efficiency and productivity.
• Mentor junior developers, supporting knowledge sharing and professional growth within the team.
• Troubleshoot, optimize, and refactor existing code and assets for performance, scalability, and maintainability, ensuring exceptional quality.
• Serve as a key technical advisor in project planning and solution design discussions, providing expert insights and recommendations.
• Manage source control using Plastic SCM or Perforce, maintaining a robust and reliable version control system.

Requirements:

• At least 5 years of hands-on experience with Unreal Engine (Blueprints and C++) in real-time 3D or game environments, with a proven track record of delivering high-quality results.
• Proven leadership experience, including team guidance, code review, and mentoring, with a strong ability to motivate and inspire team members.
• Strong expertise in architecting scalable and modular software systems within Unreal Engine projects, with a deep understanding of digital twin, simulation, or interactive 3D application development lifecycles.
• A keen eye for detail and dedication to visual fidelity, with effective communication skills to collaborate with both technical and non-technical stakeholders.
• Experience with Plastic SCM or Perforce version control systems, with a portfolio or examples of Unreal Engine projects demonstrating code quality, system design, and scalable architecture.

Preferred Skills:

• Familiarity with cloud deployment, networking, or enterprise integration, with a passion for continuous learning and innovation.

Why Join Us:

• Work on transformative projects that push the boundaries of digital twin technology, making a meaningful impact on the world.
• Be a key contributor and leader within a dynamic and growing company, with opportunities for professional growth and development.
• Collaborate with talented individuals who share your passion for innovation and excellence, working together to achieve common goals.

The Digital Twin Solutions Developer will be part of a cutting-edge team driving innovation and deployment of Lam Semiverse Solutions. This role involves working closely with critical accounts on leading edge technologies to demonstrate the impact of Lam Semiverse Solutions products and drive faster and cheaper learning cycles in both technology development and manufacturing ramp-up.

This individual will collaborate with a global team of engineers to develop applications and use case demonstrations relevant to the virtual twinning of the industry. The successful candidate will partner with the Semiverse Solutions Product Group and local Account/Sales teams to drive product strategy to business successes.

In this role, the Digital Twin Solutions Developer will take on ad-hoc duties as assigned by the Immediate Supervisor.

• Bachelor's degree in Material Science Engineering or equivalent, or related field with 12+ years of experience; or Master's degree with 8+ years' experience or a PhD with 5+ years' experience; or equivalent experience (Process Integration experience in advanced logic or memory technology).
• Good understanding of semiconductor environment (product life cycle from development to high volume manufacturing).
• Appetite for innovation and willingness to challenge best known practices.
• Fast learner with excellent communication and influencing skills.
• Strong technical interest in digital/virtual twin solutions.

• Semiconductor Industry
• Process Integration
• User Experience
• Software Engineering
• Agile
• JavaScript
• SQL
• Python
• Java
• Debugging
• Manufacturing
• Software Development
• C++

You have a strong passion for digital twin solutions and a desire to work with innovative technologies. Your ability to communicate complex ideas and influence stakeholders will make you a valuable asset to our team.

About the Job

VIAVI Solutions is a global provider of network test, monitoring and assurance solutions for telecommunications, cloud, enterprises, first responders, military, aerospace, and railway.

Our employees are passionate about supporting customer success and welcome people who bring their best every day to the company - to question, to collaborate and to push for solutions that will delight our customers.

We're looking for a highly skilled Senior / AI Engineer to lead the development and fast prototyping of AI-based 6G Digital twin and AI solutions incorporating Agentic AI within telecom workflows.

This role focuses on the rapid design, development, and deployment of 6G and AI-driven solutions, leveraging Generative AI, Large Language Models (LLMs), Agentic AI architectures, 6G Digital twins, and open-source frameworks.

You will collaborate with CTO leadership, AI solutions architects, data scientists, and RF and telecom engineers to deliver scalable AI for 6G digital twin solutions addressing real-world challenges in the upcoming 6G telecommunications domain.

• Develop and maintain prototypes and MVPs using cloud platforms and on-prem infrastructure.
• Collaborate with telecom subject matter experts to understand network architectures (6G, 5G, Open RAN, OSS/BSS systems) and translate business needs into AI solutions.
• Design and implement data pipelines for telecom data, including structured and unstructured data.
• Ensure best practices in model evaluation, validation, explainability, and monitoring.

• Masters degree in Computer Science, Electrical Engineering, Data Science, or related fields.
• Minimum of 3+ years of experience in ML Engineering, with deep expertise in supervised and unsupervised ML, not just GenAI applications.
• Proven track record of successfully shipping AI solutions from concept to deployment, demonstrating the ability to own the complete lifecycle of ML development.

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

Responsibilities

• 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.

Job Summary

We are seeking a skilled Data Analytics Professional to join our team. As a key member of the organization, you will be responsible for developing and maintaining profiling tools to support systematic planning and targeted care delivery.

Your expertise in data analysis and reporting will enable you to consolidate and analyze performance indicators related to population health, ensuring accurate and timely insights.

You will also coordinate and facilitate meetings, workgroups, and user group activities related to data and analytics, handling requests for data and analytics with precision.

In this role, you will contribute to projects addressing clinical, preventative, social, environmental, and behavioural determinants of health, providing administrative and operational support as assigned.

Key Responsibilities:

• Develop, maintain, and improve profiling tools to support systematic planning and targeted care delivery
• Consolidate, analyze, and report on performance indicators related to population health
• Coordinate and facilitate meetings, workgroups, and user group activities related to data and analytics
• Handle requests for data and analytics, ensuring accuracy, timeliness, and relevance

Requirements:

· Bachelor's degree in Mathematics, Public Health, Statistics, or related discipline preferred

· Proficiency in Microsoft Office (Word, Excel, PowerPoint) required; experience with analytics and visualization tools (e.g., Tableau, Power BI) is an advantage

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.

Join as a Data Analysis Assistant and contribute to operational support, data analysis, and stakeholder engagement within a meaningful public sector environment. This role is ideal for diploma holders seeking exposure to analytics, coordination work, and regulatory operations.

• Perform data cleaning and collation across multiple datasets to ensure quality and consistency
• Support the implementation of data analytics and visualisation tools
• Compile and organise daily feedback from operational teams
• Handle various administrative functions, including stakeholder management with licensees and maintaining updated records of accredited establishments
• Coordinate industry engagement activities and support outreach programmes
• Assist with public/stakeholder engagement logistics, including invitation, registration, and follow-ups
• Provide general administrative and project support as required

• Proficient in data analysis tools and software, including:
  
  Microsoft Office Suite (PowerPoint, Excel, Word)
  
  Power BI and Power Query
  
  Knowledge in Python is a plus
• Strong attention to detail
• Excellent time management and ability to prioritise multiple tasks
• Adaptable and flexible with changing work requirements
• Able to work independently and collaboratively
• Good communication skills (written and spoken)

• Gain real-world experience in data operations and stakeholder engagement
• Learn from cross-functional projects within a regulatory and public service context
• Competitive hourly pay with opportunities to grow soft and technical skills

Apply now if you're a proactive, detail-oriented team player looking for short-term meaningful work with real impact.

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.

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

Responsibilities

• 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.