Total 198 Others/Any science job vacancies in Information Technology category in Singapore

Requirements

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.

Responsibilities include, but not limited to:

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
• Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Strong software development skills.
• Strong verbal and written communication skills.
• Experience with or desire to learn:
• Machine learning and other advanced analytical methods
• Fluency in Python and/or R
• pySpark and/or SparkR and/or SparklyR
• Hadoop (Hive, Spark, HBase)
• Teradata and/or another SQL databases
• Tensorflow, and/or other statistical software including scripting capability for automating analyses
• SSIS, ETL
• Javascript, AngularJS 2.0, Tableau
• Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
• Experience working with Manufacturing Execution Systems (MES) is a plus
• Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Internal Code: AXI25001

*Internship period: At least 5 months, from January 2025

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We create evidence-based, personalised health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

What will you do?

• Assist data scientists in performing public healthcare research and development in line with the organization's vision within the digital health and wellness domain
• Perform on-site or off-site data collection, data organization, storage and processing
• Develop data-driven solutions and insights based on data mining, statistical modelling and machine learning methods
• Perform algorithm testing and validation
• Documentation of research, experiments and modelling findings/results
• Opportunity to be the co-author of our research publications

What are we looking for?

• Year 3 or final year in Data Science, Computer Science, Computer Engineering or related discipline
• Passionate about data science and good working knowledge of Python, SQL and R
• Good understanding or experience in signal processing and machine learning is required
• Keen interest in digital healthcare, wellness and fitness domain
• A 'go with the flow' and positive attitude, adaptable to change and energetic
• Passionate about learning and working with new technologies
• A natural tenacity, resilience and determination

Xaltius is a technology and data-driven company with the expertise to provide innovative software solutions and training to customers around the globe. We work to revamp and refine business potential, driving business excellence. As a maturing, tech-based company at heart, we are driven by the ever-changing dynamics of digitalization to provide personalized software solutions elevating business capabilities. Alongside our counterparts, we offer retail and corporate training in the fields of data analytics, data science, big data, and cloud technologies and have been actively doing that in Singapore since inception.

We are a diverse and value-driven team of knowledgeable and talented individuals, focusing entirely on achieving outstanding customer satisfaction. Being a young and fast-moving team, open-mindedness and flexibility define us. We strongly believe in educating and inspiring interested adult learners through our training sessions and are looking for enthusiastic and futuristic clients to collaborate with on IT projects.

This is a one year contract role with the need for the following:

Skills Requirement :

Areas of expertise are as follow (one or more):

• Advanced Python
• Data Analytics & Machine Learning with Python
• Microsoft PowerBI
• Statistics for Data Science
• Microsoft Excel (Data Cleaning, Functions, PivotTables, Pivotcharts)
• SQL and Database Design
• Tableau
• Deep Learning
• Big Data
• Data Bricks

Job Requirements:

• Preferably 2 years relevant working/ teaching experience in data analytics and in training professionals
• Masters specializing in Data Science is a plus
• ACLP/ACTA certified is a plus
• Excellent interpersonal and written communication skills
• Willingness and proactive to assist in troubleshooting and solving issues
• Passion towards learning new skills and knowledge, and imparting knowledge to others.

At NUS Singapore, our people are the driving force behind our success. We pride ourselves on fostering a vibrant and inclusive community of talented individuals from diverse backgrounds.

When you join NUS, you become part of a community of passionate individuals who are dedicated to driving innovation and change in education, research, and service. Our culture of inclusivity and entrepreneurship means that you’ll have the freedom to explore your ideas and make a meaningful impact. Your career at NUS is more than just a job - it’s a transformative experience that will shape your personal and professional growth.

Explore the link provided to learn additional details about the available job opportunity:

https://careers.nus.edu.sg/job/Visiting-Professor%2C-Computer-Science/27368-en_GB/?st=87BC6EC9F5082194874A6D66565C7BBAE2D68F47

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

NLCS (Singapore) is looking for an enthusiastic, highly qualified and committed Head of Computer Science (Junior School), with an outstanding track record of success. This is a unique opportunity to join a leading international school as it enters an exciting new phase of development.

The successful appointee will lead and teach Computer Science throughout the Junior School (Pre-KG to Grade 5). All members of staff are expected to be involved in pastoral care within the school community, usually in the role of form tutor, and also to contribute actively to the co-curricular life of the School.

Our school is committed to safeguarding and promoting the welfare of children and young people. The School expects all teaching staff, non‐teaching staff and volunteers to share and uphold this commitment.

In addition to their teaching responsibilities, as per their main job description, the Head of Junior School Computer Science is responsible for the development and implementation of the Computer Science curriculum in the Junior School. Specific responsibilities include:

Curricular & co-curricular provision

• Oversight and development of the Computer Science curriculum including:
• Production and ongoing evaluation of schemes of work and unit plans.
• Liaison with the PYP Coordinator and class teachers to ensure that the curriculum meets the needs of the programme, including being suitably integrated into Units of Inquiry (UoI).
• Liaison with the MYP Coordinator and the Head of Computer Science to ensure that the curriculum provides suitable preparation for the study of the subject in the Senior School.
• Production and ongoing evaluation of assessment tasks and procedures.
• Maintenance of an up-to-date knowledge of the requirements of the PYP programme, and how Computer Science fits into it.
• Provision of support for staff teaching the course including appropriate training and the collation of a bank of teaching resources.
• Tracking of assessment data for students and liaison with class teachers and JSMT to ensure that students are provided with appropriate challenge and support where needed.
• Liaison with teachers in the First School and Lower School to support their planning for the Computer Science curriculum and ensure that it provides adequate preparation for subject-specific teaching from Grade 2.
• Contribution to the production and ongoing evaluation of the annual Computer Science Department Development Plan.
• Provision of curriculum information for school publications.
• Development and provision of subject-related co-curricular activities (CCAs) in the Junior School.

Pastoral care & duties

• Acting as a member of the Junior School pastoral team, providing support and mentoring for students and covering registrations and tutor periods (in place of acting as a House Tutor in the Senior School).
• Taking on break and lunch time supervisory duties in the Junior School as per published rotas (in place of doing so in the Senior School).
• Attendance at Junior School staff meetings and briefings (in place of doing so in the Senior School) and reporting back important messages to the rest of the department.

Safeguarding

• Abiding by the school safeguarding policy and keeping abreast of any changes.
• Have regard for, and promote, the need to safeguard students’ wellbeing, maintaining awareness of cultural differences and related matters when dealing with students.

To Apply:

Please email the following documents to [email protected] before the application closing deadline listed in our job posting.

• A completed NLCS application form
• A Cover Letter, stating your suitability for the role
• A copy of your Curriculum Vitae (CV)

Please note incomplete submissions will not be processed and only shortlisted candidates will be contacted for interviews.

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Responsibilities

• Work with business analysts and internal stakeholders to identify business problems and

opportunities propose analytics solutions, as well as data and technology requirements, and

formalize them into a project Analytics solutions which include, but are not limited to report

automation, advanced analytics, and AI engines

• Work with data engineers to plan, identify, and integrate data from multiple source systems to

enterprise data platform for analytics purposes

• Perform data exploration, preprocess, and analyse the data (both structured and unstructured);

develop and deploy machine learning/deep learning models

• Create dashboards to communicate and present key findings to stakeholders, and manage UAT

• Work with the team to run and prioritise projects according to objectives and business impact

• Design and build Generative AI applications like GPT-enabled chatbots to innovate and drive

impactful solutions in the company

• Explore new methodologies for increasing the efficiency and effectiveness of Generative AI

applications

• Continuously evaluate and enhance the performance of Generative AI models through rigorous

testing and experimentation

Requirements:

• Bachelor's or master’s degree in Data Science, Statistics, Computer Science, Computer Engineering

or equivalent disciplines that focused on extensive use of data for analysis

• Strong programming experience using python or spark, with solid understanding of data science

concepts.

• Practical knowledge in statistical and machine learning techniques including Regression, Random

Forest, Boosting, Trees, Text Mining, Network Analysis, etc

• Practical knowledge in deep learning techniques including computer version, NLP, etc

• Experience in data visualization software such as Power BI or Tableau

• Good collaboration and communication skills to work effectively across teams and partner with

business stakeholders

• Beneficial to possess knowledge or practical experience in generative AI or developing LLM

applications using the Microsoft Azure stack or third-party packages such as LangChain.

To Apply:

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret that only shortlisted applicants would be notified.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No : R1654858 | Soo Sheng Hui

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

We are looking for a passionate and professional Senior Executive Officer to join our Corporate Strategy team.

Based in Singapore and reporting to the Senior Manager, the incumbent will support and guide the team in problem and opportunity formulation, data wrangling, possible model approaches, modes of validation and engaging the various stakeholders.

However, we also recognize that each individual has a unique blend of skills. Whether your strength is in data analytics or in analytics development, we want to talk to you.

What You’ll Do

• You will engage various divisions to identify the key business requirements for which complex models need to be built.
• You will lead and guide the team in problem and opportunity formulation, data wrangling, possible model approaches, modes of validation and engaging the various stakeholders.
• You will assist the strategy team in developing the various strategic plans for the company, and implement them where it makes sense.
• You will design and put into production the models developed.
• You will do detailed modeling on the various games and bet types to optimize their performance and enable closing the gap with illegal operators.
• You will support the dissemination of analytics knowledge and sharing of experience within the team and the business users.
• You will identify, undertake and implement analytics projects, including formulation of use cases, gathering of data, development, implementation and maintenance of models.
• You will support the development of SPPL’s in house analytic capabilities through the implementation of structured methodologies and creation of infrastructural capabilities to process and analyze data.
• You will work with strategy to identify opportunities to enable the implementation and realization of the long-term strategic vision of the company.

Who You Are

• You will need at least a postgraduate degree, preferably in data science, statistics, applied mathematics, computer science, machine learning or other data centric disciplines.
• You should have experience with statistical and analytical modeling and knowledge of analytic tools.
• You should be able to work with tools to clean, transform, manipulate, model and visualize large amounts of data.
• Strong programming experience with Python.
  • Familiarity with Python packages commonly used in a Data Science context, e.g., pandas, matplotlib, scikit-learn, PyTorch etc.
  • Proficient in various statistical methods and machine learning techniques, e.g., hypothesis testing, data cleaning, bootstrapping, random forests, clustering, deep learning, etc.
  • Strong visualization and communication skills to interpret and present technical results to technical and non-technical audiences alike.
• Good to have skills:
  • Knowledge of deploying machine learning models on-prem and on AWS or other cloud providers.
  • Experience working with Docker and tools such as docker-compose, Portainer, etc.
  • Knowledge of SQL, PySpark, a deep learning framework (e.g. PyTorch) and/or Django.
  • Basic Unix knowledge.

Benefits

• Competitive salaries
• Flexi Benefits
• Staggered working hours
• Medical Insurance
• Corporate Mobile Plans

Singapore Pools welcomes you not for how you look, where you come from, or differences you may have. We want you here for who you are. Diversity at the company helps us see a greater picture represented by different voices, helping us in contributing back to the society. So, feel free to express who you are, and be proud of your heritage and personal experience as you begin your journey with us!

Singapore Pools was established by the Government on 23 May 1968 to provide safe and trusted betting to counter illegal gambling. As a not-for-profit organisation, all of Singapore Pools’ surplus is channeled to Tote Board to fund a wide range of causes in social service, community development, sports, the arts, education and health. Currently, Singapore Pools contributes about $2 billion annually to the Government in the form of taxes and duties, and for the funding of good causes.

Responsibilities

• Work with business analysts and internal stakeholders to identify business problems and

opportunities propose analytics solutions, as well as data and technology requirements, and

formalize them into a project Analytics solutions which include, but are not limited to report

automation, advanced analytics, and AI engines

• Work with data engineers to plan, identify, and integrate data from multiple source systems to

enterprise data platform for analytics purposes

• Perform data exploration, preprocess, and analyse the data (both structured and unstructured);

develop and deploy machine learning/deep learning models

• Create dashboards to communicate and present key findings to stakeholders, and manage UAT

• Work with the team to run and prioritise projects according to objectives and business impact

• Design and build Generative AI applications like GPT-enabled chatbots to innovate and drive

impactful solutions in the company

• Explore new methodologies for increasing the efficiency and effectiveness of Generative AI

applications

• Continuously evaluate and enhance the performance of Generative AI models through rigorous

testing and experimentation

Requirements:

• Bachelor's or master’s degree in Data Science, Statistics, Computer Science, Computer Engineering

or equivalent disciplines that focused on extensive use of data for analysis

• Strong programming experience using python or spark, with solid understanding of data science

concepts.

• Practical knowledge in statistical and machine learning techniques including Regression, Random

Forest, Boosting, Trees, Text Mining, Network Analysis, etc

• Practical knowledge in deep learning techniques including computer version, NLP, etc

• Experience in data visualization software such as Power BI or Tableau

• Good collaboration and communication skills to work effectively across teams and partner with

business stakeholders

• Beneficial to possess knowledge or practical experience in generative AI or developing LLM

applications using the Microsoft Azure stack or third-party packages such as LangChain.

To Apply:

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret that only shortlisted applicants would be notified.

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No : R1654858 | Soo Sheng Hui

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

The College of Integrative Studies (CIS) at Singapore Management University (SMU is seeking to make one or two tenure-track appointments (at the Assistant, Associate, or Full Professor levels) in the area of Urban Informatics, broadly construed. We welcome applicants who are domain experts in urban food systems, corporate supply chain analysis, urban energy use and/or decarbonisation.

Senior candidates with a track record of leading international teams in externally-funded research programmes are especially encouraged to apply. Exceptional candidates at the Associate or Full Professor levels will be considered for tenure upon appointment. The CIS delivers the University's Core Curriculum and also offers a suite of programmes including Singapore's first and only individualisable major at the undergraduate level, a Masters in Sustainability, as well as interdisciplinary Master’s and Ph.D. programmes in Asian Urbanisms.

We are interested in candidates who are trained in Data Science/Analytics, Computer Science, Geographical Information Systems, Geomatics (all with an urban application), or in cognate disciplinary or interdisciplinary fields with an urban focus. Candidates who can demonstrate evidence of interdisciplinarity in both teaching and research are particularly encouraged to apply.

Applicants should be able to:

• Design and deliver postgraduate a course on “Computational Urban Analysis” to a diverse, multidisciplinary postgraduate audience
• As necessary, design elective courses that will be delivered as part of the Asian Urbanisms Master’s and PhD programmes
• Attract and supervise postgraduate research students
• Contribute to undergraduate teaching for the SMU Core Curriculum in the Technology and Society course baskets (see https://cis.smu.edu.sg/core-curriculum/overview) by delivering courses that will equip students from diverse backgrounds with a data science software foundation that ranges from introductory skills to more advanced techniques, such as cluster analysis, spatial regression, or machine learning
• Conceptualise and execute high quality research, and develop grant applications, on urban-related issues in Asia, broadly defined
• Participate actively in the research and educational communities at SMU, and contribute to at least one of the university’s three areas of strategic priority: Growth in Asia, Digital Transformation, and Sustainable Living
• Contribute to the dynamic intellectual life of CIS, as well as to interdisciplinary dialogue and exchange with colleagues from other Schools (such Computing and Information Systems, Economics, Law, Business, and the Humanities and Social Sciences)

We invite candidates to submit a cover letter, curriculum vitae, teaching statement, research statement, two samples of written work published in English, and evidence of teaching effectiveness (such as student evaluations). Applicants should also arrange for three academic references to be sent directly to [email protected]. SMU is committed to fostering diversity and cultivating an inclusive work environment. Applications from women and minorities are particularly encouraged.

Qualifications

• Ph.D. in either a computational disciplinary (e.g., Data Science/Analytics, Computer Science, Geographical Information Systems, Geomatics, all with an urban focus) or interdisciplinary (e.g., Urban Science, Urban Studies, Development Studies) field
• A record, or promise, of high-quality research and publication
• A record of excellence in teaching and supervision, ideally at both the undergraduate and postgraduate levels
• A track record of being awarded external research grants is a benefit, but not a prerequisite
• Excellent oral and written communication and presentation skills

Job Description:

• Understanding of Project Specifications, construction drawings and to ensure that all site activities comply with the regulations and client’s requirements
• Monitor site works to ensure the method statements and work procedure are strictly followed.
• Competent in carrying out supervision of structural works by identifying any non-conformity of contractor’s work site
• Ensure the Builder executes the work in accordance to Consultant’s instructions
• Check drawings for discrepancies and highlight to Consultant, suggesting possible solutions to prevent delays
• Conduct quality inspections and quality control of materials used for the project
• To ensure proper documentation of site inspection records, safety records and approved /as-built drawings
• Maintaining and updating site records on progress of work, housekeeping and preparing reports
• Verify the contractors’ progress payment, claim in terms of work done and materials/equipment delivered and stored on site
• Witness all the inspection, testing and commissioning sessions performed by the contractors to ensure compliance with designs and specifications
• Report to project QP / Project Consultants Team on quality and progress
• Period: 36 months
• Start from: January 2024

Requirement:

• Min Diploma in Civil Engineering or equivalent
• At least 4 years of relevant experience in supervision of residential buildings
• Resident Technical Officer Certificate accredited by IES / ACES
• Knowledge and Experience in institutional
• Conversant in statutory code and requirements
• Good team player with strong interpersonal and communications skills essential

Please indicate project involved, expected salary and notice period required in CV.

We regret that only short-listed candidates will be notified.

Required Qualifications

• Passionate about the cause of education
• Dedicated and patient
• Team spirit
• Bachelor's Degree in the related subject

Job Timings (Non-negotiable)

• 44 Hours Per Week
• Monday - Thursday: 11:30 am - 07:30 pm
• Saturday and Sunday: 09:30 am - 06:30 pm
• Lunch Break: 01:30 pm - 02:30 pm

Overtime

Employees who work more than the stipulated working hours on any day will be paid for any additional hour worked at 1.5 times their hourly basic rate of pay.

Public Holidays

• The Centre will remain closed on all public holidays EXCEPT Labour Day and Vesak Day. The board examinations are held in May/June and we are duty bound to our students to remain open on these two public holidays to assist them in their final examination preparation.
• Employees who work on Public Holidays (9:30AM - 6:30PM) will receive twice their basic rate of pay for work on that day.

Leave Policy

• Annual leave : 18 days
• Birthday Leave: 1 day
• Family Care Leave : 2 days (the above unused leave will be encashed at the end of the year)
• Medical leave: 14 days
• Hospitalisation Leave : 60 days (includes 14 days of medical leave) Unused leaves will lapsed at the end of the year
• Maternity leave :16 weeks (For Singapore Citizens) 8 weeks (For others)
• Paternity leave :2 weeks (If employee has worked for 3 continuous months and child is a Singapore Citizen) For Others, as per mutual agreement between employee and employer.
• Childcare Leave :6 days (if child is less than 7 years, and a Singapore Citizen) 2 days (if child is less than 7 years, for others, as per Employment Act)
• Compassionate Leave: 3 days (can be availed only once in a year)

Insurance

• General Physician (GP) : No Co-Pay (Panel Clinic)
• Specialist (SPL) : $2000 per calendar year (No Panel)
• Hospitalisation (Hosp) : $60000 Annual (Govt Restr, 4 bedded Ward)
• Dental Plan (DP) : $1000 per calendar year, 10% Co-Pay (No Panel)

Resignation Procedure

• Employees are free to resign with just a 1-day notice period. We understand that new opportunities can arise, and we don’t want a lengthy notice period to stand in your way. Our priority is to support your success, whether that’s with us or in your next role.

Walk-in interview

Monday Tuesday, Wednesday, Thursday, Saturday and Sunday at 2:30PM at MathVision Campus, Tekka Place, Annex Block, #01-51 to #01-54 and #01-55 to #01-59, 2 Serangoon Road, Singapore

Please whatsapp your resume or education qualifications at +65 8868 3475

Required Qualifications

• Passionate about the cause of education
• Dedicated and patient
• Team spirit
• Bachelor's Degree in the related subject

Job Timings (Non-negotiable)

• 44 Hours Per Week
• Monday - Thursday: 11:30 am - 07:30 pm
• Saturday and Sunday: 09:30 am - 06:30 pm
• Lunch Break: 01:30 pm - 02:30 pm

Overtime

Employees who work more than the stipulated working hours on any day will be paid for any additional hour worked at 1.5 times their hourly basic rate of pay.

Public Holidays

• The Centre will remain closed on all public holidays EXCEPT Labour Day and Vesak Day. The board examinations are held in May/June and we are duty bound to our students to remain open on these two public holidays to assist them in their final examination preparation.
• Employees who work on Public Holidays (9:30AM - 6:30PM) will receive twice their basic rate of pay for work on that day.

Leave Policy

• Annual leave : 18 days
• Birthday Leave: 1 day
• Family Care Leave : 2 days (the above unused leave will be encashed at the end of the year)
• Medical leave: 14 days
• Hospitalisation Leave : 60 days (includes 14 days of medical leave) Unused leaves will lapsed at the end of the year
• Maternity leave :16 weeks (For Singapore Citizens) 8 weeks (For others)
• Paternity leave :2 weeks (If employee has worked for 3 continuous months and child is a Singapore Citizen) For Others, as per mutual agreement between employee and employer.
• Childcare Leave :6 days (if child is less than 7 years, and a Singapore Citizen) 2 days (if child is less than 7 years, for others, as per Employment Act)
• Compassionate Leave: 3 days (can be availed only once in a year)

Insurance

• General Physician (GP) : No Co-Pay (Panel Clinic)
• Specialist (SPL) : $2000 per calendar year (No Panel)
• Hospitalisation (Hosp) : $60000 Annual (Govt Restr, 4 bedded Ward)
• Dental Plan (DP) : $1000 per calendar year, 10% Co-Pay (No Panel)

Resignation Procedure

• Employees are free to resign with just a 1-day notice period. We understand that new opportunities can arise, and we don’t want a lengthy notice period to stand in your way. Our priority is to support your success, whether that’s with us or in your next role.

Walk-in interview

Monday Tuesday, Wednesday, Thursday, Saturday and Sunday at 2:30PM at MathVision Campus, Tekka Place, Annex Block, #01-51 to #01-54 and #01-55 to #01-59, 2 Serangoon Road, Singapore

Please whatsapp your resume or education qualifications at +65 8868 3475

Our client is a Singapore based Scientific and Medical devices provider with presence in Southeast Asia region. Due to their current expansion plan, they are looking for a Technical Service Engineer to join their Engineering Team, in hopes of developing the current high performing team. They are located in the South area – easily accessible.

Duties of Technical Service Engineer:

• Provide after-sales technical support for equipment installation and maintenance.
• Offer technical guidance and consultation to customers.
• Address and troubleshoot customer issues, ensuring timely solutions.
• Document service activities and prepare detailed reports.

Requirements:

• Minimum NiTEC in ELectrical or Mechanical Engineering
• 2 - 3 years experience in servicing Life Science Medical Devices
• Possess own transport

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

Responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Planning and delivering of high performing models, meeting agreed deadlines and ensuring accurate, efficient implementation of models in production systems
• Learning industry developments and best practices, conducting research and development to incorporate best in class modelling methodologies and share with the team
• Performing annual reviews, performance monitoring reviews, retrains and remediation activity on models as required
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
• Lead, engage, and inspire a large team of high performing risk management professionals

Qualifications:

• PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. PhD degree with practical experiences NLP is a significant plus.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Strong people leader and team player with a demonstrated ability to develop team members and create highly effective and results-driven culture
• Strong relationship management and proven track record of positively collaborating and partnering with stakeholders
• Ability to learn quickly and work independently with sophisticated, unstructured initiatives
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint