Total 65 science rd research job vacancies in Information Technology category

MetaQuest (MQ) is a premier Science enrichment learning brand under The Write Connection Group in Singapore, delivering structured programmes for Primary 3 to 6 students.

Our programmes utilise an effective experiment-based pedagogy to help students achieve breakthroughs in their understanding and performance in Science. Lessons are conducted both in-centre and online, incorporating live teacher demonstrations, guided discussions, and hands-on experiments to engage students meaningfully.

About the role

We are looking for a Head of Science (Primary) to build and subsequently lead a high-quality P3 to P6 Science programme.

This role goes beyond teaching. You will shape the programme structure, strengthen curriculum and delivery, and later on, build teaching capability to ensure consistent student outcomes across centres.

Key Responsibilities

• Oversee and refine the P3–P6 science curriculum, ensuring alignment with MOE syllabus and PSLE requirements
• Develop structured teaching approaches to ensure consistent lesson delivery
• Monitor student progress and continuously improve programme outcomes
• Engage parents through clear communication on student development
• Support trial classes and contribute to enrolment growth
• Teach 4–6 classes per week, including at least 1 weekend, with teaching load adjusted as the teaching team expands
• Hire and train teachers to deliver high-quality lessons

What We’re Looking For

• Degree in Science or related field (MOE/NIE-trained preferred)
• Minimum 5–8 years of teaching experience in primary science
• Clear and structured teaching style with strong concept explanation
• Strong track record of helping students improve and perform
• Experience in curriculum development, mentoring, or academic leadership is advantageous
• Someone who has taken initiative to improve teaching practices, curriculum, or student outcomes beyond their own classroom
• Comfortable operating in a programme-building environment and taking ownership

Why Join us:

• Opportunity to shape and lead a growing science programme
• Autonomy to implement ideas and build systems
• Small class sizes (up to 12) with focus on quality teaching

Staff Benefits:

• Comprehensive Medical and Dental benefits
• Birthday and Marriage leave
• Flexi Leave upon completing 1 year of service.
• Monthly Birthday celebration
• Team Bonding Activities
• Exclusive Staff discount for TWC/ MQ lessons
• Exclusive Staff discounts with various participating merchants

MetaQuest (MQ) is a premier Science enrichment learning brand under The Write Connection Group in Singapore, delivering structured programmes for Primary 3 to 6 students.

Our programmes utilise an effective experiment-based pedagogy to help students achieve breakthroughs in their understanding and performance in Science. Lessons are conducted both in-centre and online, incorporating live teacher demonstrations, guided discussions, and hands-on experiments to engage students meaningfully.

About the role

We are looking for a Head of Science (Primary) to build and subsequently lead a high-quality P3 to P6 Science programme.

This role goes beyond teaching. You will shape the programme structure, strengthen curriculum and delivery, and later on, build teaching capability to ensure consistent student outcomes across centres.

Key Responsibilities

• Oversee and refine the P3–P6 science curriculum, ensuring alignment with MOE syllabus and PSLE requirements
• Develop structured teaching approaches to ensure consistent lesson delivery
• Monitor student progress and continuously improve programme outcomes
• Engage parents through clear communication on student development
• Support trial classes and contribute to enrolment growth
• Teach 4–6 classes per week, including at least 1 weekend, with teaching load adjusted as the teaching team expands
• Hire and train teachers to deliver high-quality lessons

What We’re Looking For

• Degree in Science or related field (MOE/NIE-trained preferred)
• Minimum 5–8 years of teaching experience in primary science
• Clear and structured teaching style with strong concept explanation
• Strong track record of helping students improve and perform
• Experience in curriculum development, mentoring, or academic leadership is advantageous
• Someone who has taken initiative to improve teaching practices, curriculum, or student outcomes beyond their own classroom
• Comfortable operating in a programme-building environment and taking ownership

Why Join us:

• Opportunity to shape and lead a growing science programme
• Autonomy to implement ideas and build systems
• Small class sizes (up to 12) with focus on quality teaching

Staff Benefits:

• Comprehensive Medical and Dental benefits
• Birthday and Marriage leave
• Flexi Leave upon completing 1 year of service.
• Monthly Birthday celebration
• Team Bonding Activities
• Exclusive Staff discount for TWC/ MQ lessons
• Exclusive Staff discounts with various participating merchants

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are seeking a highly motivated individual with a solid background in software engineering, machine learning or/and AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.

Role Overview:

As an Analyst, AI/ML, you will play a crucial role in the development and implementation of cutting-edge Generative AI solutions that address significant business challenges. This role focusses on hands-on implementation, rapid prototyping, and collaboration with cross-functional teams to deliver innovative solutions that address real business challenges. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Responsibilities

• Develop and implement Proof of Concepts (PoCs) prototypes for AI/ML and Generative AI solutions, ensuring alignment with business objectives.
• Write clean, efficient, and well-documented code for data processing, model training, and deployment.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms.
• Conduct experiments to evaluate model performance and optimize algorithms for scalability.
• Stay abreast of the latest trends in AI/ML and actively share knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms, enhancing functionality and user engagement.
• Actively participate in technical discussions and forums across Amex

Qualifications

• Advanced degree (Master/ PhD) in quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Strong programming skills in at least one language (Python, Java, C++, etc.)
• Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data processing libraries
• Extensive experience in machine learning, NLP and Generative AI, with a demonstrated ability to build scalable prototypes from inception to solution.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects on real-world problems.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Data processing skills such as SQL and BigQuery is a plus.
• Strong ability to translate real-world problems to data science problems.
• Excellent communication and collaboration skills, with the ability to collaborate effectively with both technical and non-technical teams.

Based in Singapore, the Data ScienceIntern will develop and apply machine learning and computer vision techniquesto extract actionable insights from data collected by inspection and NDT tools,helping to advance the company's software products and solutions.

What will you do

• Develop tools to process the high volume of information collected by cameras and NDTtools (e.g Ground Penetrating Radar)
• Uncover hidden data correlations in aforementioned data (e.g. presence of corrosion vs concrete cover vs geographical location)
• Improve existing software tools using data science

1. Discover, learn and apply state-of-the-art Machine Learning techniques to InspectionTech problems.
2. Leverage data science techniques to improve customer insights in the InspectionTech space.

• Support project lifecycles from brainstorming to production
• Contribute to developing cutting-edge software and solutions that add value to the company and its customers.

What do we expect

• Pursuing a bachelor’s degree in Computer Science or related fields.
• Knowledge in Machine Learning libraries such as PyTorch.
• Knowledge in Computer Vision libraries such as OpenCV.
• Knowledge in Python and neural network frameworks (Pytorch, TensorFlow).

Position Overview

We are seeking an experienced Research Director to lead our data centre research initiatives across the Asia Pacific region from our Singapore hub or another established data centre market where JLL operates. This senior role will drive thought leadership, market intelligence, and strategic insights for JLL's data centre practice, supporting client advisory services and business development across the rapidly expanding digital infrastructure sector.

Key Responsibilities

Research Leadership & Strategy 

• Drive the development and execution of comprehensive research strategies for mature and emerging data centre markets across APAC.

• Lead primary and secondary research initiatives that position JLL as the definitive source of data centre market intelligence in the region.

Market Analysis & Forecasting

• Conduct deep-dive analysis of data centre supply, demand, pricing trends, and investment flows.

• Track and analyze market activity across APAC's leading data centre developers, operators, tenants, and investors.

• Develop sophisticated forecasting models for colocation, hyperscale, on-prem and edge computing segments.

• Monitor regulatory developments, sustainability initiatives, and technological shifts impacting the sector.

Thought Leadership & Publications 

• Author flagship research reports, market outlooks, and white papers that establish JLL's intellectual capital in the data centre space.

• Present findings at industry conferences, client events, and media briefings.

• Collaborate with global research teams to ensure consistency and leverage international insights.

Client Advisory Support 

• Provide strategic research support for client engagements across capital markets, project and development services, facility management and occupier solutions.

• Develop bespoke research deliverables for institutional investors, developers, and technology companies.

• Support pitch presentations and new business development initiatives.

Stakeholder Engagement 

• Build and maintain relationships with key industry players including data center operators, cloud service providers, telecommunications companies, and institutional investors.

• Engage with government agencies and industry associations to stay ahead of policy and regulatory developments.

Team Development 

• Lead and mentor research analysts and associates across business lines and geographies.

• Foster a culture of analytical excellence and innovation within the research team.

• Collaborate with business line leaders to ensure research output aligns with commercial objectives.

Required Qualifications

• Advanced degree in Economics, Finance, Real Estate, Urban Planning, or related quantitative field.

• Minimum 8-10 years of experience in commercial real estate research. Previous experience in Asia Pacific markets strongly preferred.

• Deep understanding of data center fundamentals including power infrastructure, cooling systems, network connectivity, and operational requirements.

• Proficiency in Excel and data visualization platforms.

• Experience with GIS mapping and spatial analysis preferred.

• Comprehensive knowledge of APAC data center markets including regulatory frameworks, major players, and investment trends.

• Understanding of cloud computing, edge infrastructure, and emerging technologies driving data center demand.

• Familiarity with sustainability and ESG considerations in data center development.

• Exceptional written and verbal communication skills with ability to present complex analysis to diverse audiences.

• Proven track record of producing high-quality research publications and thought leadership content.

• Strong project management and team leadership capabilities.

• Previous experience at a leading commercial real estate services firm, investment bank, or data center operator.

• Established network within the Asia Pacific data center ecosystem.

Job Description: Prompt Engineer

About the Role

We are looking for a highly creative and analytical Prompt Engineer to join our team. You will design, test, and optimize prompts for large language models (LLMs) to improve accuracy, efficiency, and usability of AI-driven applications. The role requires a mix of technical knowledge, problem-solving skills, and domain understanding to bridge human intent with AI capabilities.

Key Responsibilities

• Design, develop, and refine prompts for AI/LLM applications to ensure high-quality and contextually accurate outputs.
• Collaborate with product, engineering, and data teams to integrate prompt strategies into applications and workflows.
• Conduct A/B testing and evaluate prompt effectiveness across different scenarios.
• Maintain a knowledge base of reusable prompt templates and frameworks.
• Stay updated with advancements in generative AI, Agentic AI, prompt engineering techniques, and tooling
• Analyze outputs, debug issues, and propose prompt modifications for continuous improvement

Required Skills & Qualifications

• Strong understanding of large language models (LLMs) such as GPT, Claude, LLaMA, or similar.n
• Understanding of Agentic frameworks specifically of LangChain, LangGraph
• Experience with prompt design, chaining, and optimization.
• Proficiency in at least one programming language (Python preferred).
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work in cross-functional teams and translate business needs into AI solutions.

Opportunity for Bachelor's Degree / Master's Degree Holders that eager to pursue a PhD while simultaneously maintaining a full-time position in the industry.

• Fully-Funded PhD Positions – Synthetic Data Generation
• Fully-Funded PhD Positions – Agentic AI & Edge Computing
• Fully-Funded PhD Positions – Small Multimodal Models

Reolink via Industrial Postgraduate Programme (IPP)

• We currently have three research topics available for Postgraduate Students interested in exploring these opportunities.

Reolink is a leading AI video security camera firm based in Singapore, driving innovation in intelligent visual technology for both home and business. Founded in 2009, our products are trusted by millions of users across more than 110 countries. At the forefront of smart surveillance, Reolink develops cutting-edge unified AI systems—such as Reon Eura—engineered to deliver superior on-device object recognition, predictive risk assessment, and intelligent contextual analysis. We are committed to pushing the boundaries of edge computing, computer vision, and autonomous AI to create the next generation of reliable, user-centric security applications.

Programme Structure (IPP)

Successful candidates will be full-time salaried employees at Reolink (the partnering company) while simultaneously pursuing full-time graduate studies (PhD) at NTU & NUS.

This unique arrangement offers:

• Competitive monthly salary + full PhD tuition coverage.
• Hands-on industry experience alongside academic research.
• Joint supervision by NTU / NUS faculty and Reolink R&D leaders.
• Direct application of research to real-world AI and computer vision products.

Requirements for Joining Industrial Postgraduate Programme (IPP)

• Candidates must be strong in software engineering
• Bachelor's Degree or Master's Degree in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 
• Excellent programming skills ( Python, C++ and deep learning frameworks such as PyTorch / TensorFlow).
• Solid understanding of software design, system integration, and deployment best practices.
• Strong analytical and mathematical foundation.

Remarks:

• 5 Work Days, 8.30am-5.30pm / 9am-6pm
• Office Near to Kaki Bukit MRT, Singapore
• Medical Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus

Summary

We are seeking an AI/ML Researcher to lead the research and development of large language models (LLMs) solutions. The ideal candidate will have a minimum of 2 years of experience in NLP research and a deep understanding of core LLM components, including LLM modeling, information retrieval, entity-relation extraction, agentic frameworks, and reasoning. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative LLM solutions. Responsibilities include designing and conducting scientific experiments, utilizing NLP techniques and LLM core components to develop novel LLM solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should have excellent communication skills, a strong work ethic, and a passion for delivering high-quality, innovative solutions.

Responsibilities:

• Leading in designing the research and experiment methodology, specifically in LLM core components.
• Conduct independent research and report experiment results, research findings to stakeholders.
• Collaborate with engineering team in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training,
• Utilize analytical techniques to extract meaningful insights from large datasets
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• Publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.

Requirement:

• Masters or PhD in Computer Science, Computer Engineering, Statistics, Engineering, or related field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, vulnerabilities in LLM, etc.
2. Generative AI, specifically in generating synthetic data.

• Demonstrate an analytical mindset with adept problem-solving skills.
• Keep abreast of the latest advancements in program-related techniques and methodologies,
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Strong communication and organizational skills.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.

Summary

This is an applied AI research role. The researcher will design and build non-deterministic analytical tools — grounded in statistical modelling, predictive models, and machine learning — that work across structured and unstructured data. Another part of the role is developing AI agents powered by large language models (LLMs) that can reason over and orchestrate these tools to solve real analytical problems end to end. The researcher is expected to be rigorous with data, curious about intelligent systems, and motivated by seeing their work produce something that actually runs.

Responsibilities

Research & Analysis

• Work with structured datasets to identify patterns, trends, and statistically significant findings that inform research questions and business decisions.
• Apply and adapt predictive models (regression, classification, time series forecasting) and mathematical models to address defined research problems.
• Conduct exploratory data analysis (EDA) to assess data quality, distributions, and feature relevance prior to modelling.
• Design and run statistical experiments, including hypothesis testing, power analysis, and significance testing.
• Validate model performance using appropriate evaluation frameworks and communicate limitations honestly.

AI development

• Study and apply LLM-based agent frameworks to automate and orchestrate research workflows.
• Design and build AI agents that use LLMs as a reasoning engine, with data science models and pipelines exposed as callable tools.
• Integrate agent outputs with structured data — enabling agents to query databases, invoke predictive models, and interpret results.
• Evaluate agent performance: task completion, reasoning coherence, tool-use accuracy, hallucination rate, and failure handling.
• Stay current with the evolving agent landscape and share learnings with the team.

Technical development

• Write clean, well-documented Python code for data processing, feature engineering, model development, and result visualisation.
• Query and manipulate structured data from relational databases using SQL.
• Use core data science libraries including Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn, etc.
• Contribute to shared codebases, following team coding standards and version control practices (KLASS Gitlab).
• Assist in building reproducible data pipelines and experiment tracking workflows.

Collaboration & communication

• Work closely with senior researchers and principal researchers to scope, plan, and deliver project workstreams.
• Contribute to the quarterly and annual research reports, translating technical findings into clear, accessible language.
• Present findings to internal and client-side collaborators, including non-technical audiences.
• Participate in team research reviews, peer code reviews, and knowledge-sharing sessions.

Requirements

Education

• Master’s or PhD – Computer Science, Mathematics, Statistics, Physics, Engineering, Data Science, or a closely related quantitative discipline. (Preferred)
• Bachelor’s Degree – In a relevant quantitative field, with demonstrable hands-on experience in data science (e.g. internships, research projects, competitions, or open-source contributions).
• Fresh Graduates – Encouraged to apply. We value strong fundamentals and intellectual curiosity over years of experience.

Technical skills — essential

• Python programming: proficiency with core data science libraries (Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, Seaborn).
• Data wrangling: handling missing data, outlier detection, feature engineering, and normalisation on structured datasets.
• Mathematical foundations: linear algebra, calculus, and optimisation as applied to machine learning and statistical modelling.
• Working knowledge of modelling families: supervised, unsupervised, and generative models — see the dedicated modelling section below for full detail.

Personal Qualities

1. Research mindsetIntellectually curious across both quantitative and AI domainsRigorous and detail-oriented in analysis and documentationComfortable with ambiguity and iterative problem-solvingHonest about uncertainty — in models and in LLM outputs
2. Working styleClear communicator, written and verbalCollaborative team player in a research environmentSelf-directed with good time managementEager to learn and receive constructive feedback

Experience

0–2 years of professional or research experience

We define experience broadly. Relevant experience includes academic research projects, dissertations with a data science component, internships, industry placements, personal or open-source projects, Kaggle competitions, or research assistant roles. We are more interested in the quality of your analytical thinking than the number of years on your CV.

A Low-Stress Teaching Career in a Supportive Centre Environment

MathVision has been operating in Singapore for 18 years, and in that time, we’ve taught over 20,000 students.

You’ll be joining a well-established organisation with a strong reputation and a long history of supporting teachers.

- All lessons are conducted 1-1 or 2-1 at a table (never in a classroom or in large groups)

- You’ll teach using a fully prepared curriculum with worksheets, notes, and question banks already created for you. So, you do not need to worry about creating your own content.

If you enjoy guiding students step-by-step and explaining ideas clearly, this role will feel natural, manageable, and fulfilling.

Why This Role Stands Out

• Low-Stress Teaching (No Classroom and No Discipline Issues)

You teach at a table, with 1 student or 2 students at a time.

• All Curriculum & Materials Provided

Every topic comes with ready-made worksheets, notes, and structured methods.

You focus on teaching, not preparing materials.

• Clear Training & Daily Support

We guide you through our teaching methods, and you work alongside 250 other full-time teachers who support one another every day.

• 18 Years of Experience, 20,000+ Students Taught

A long-standing organisation with deep experience and consistent demand year-round.

Simple Walk-In Interview

Visit us any day.

Flexible and provides generous leave benefits:

- Annual Leave

- Medical Leave

- Family Care Leave

- Birthday Leave

- Overtime

- Hospitalisation Leave

- Public Holidays

- Medical Insurance (General Physician, Specialist, Hospitalisation, Dental Plan)

A Low-Stress Teaching Career in a Supportive Centre Environment

MathVision has been operating in Singapore for 18 years, and in that time, we’ve taught over 20,000 students.

You’ll be joining a well-established organisation with a strong reputation and a long history of supporting teachers.

- All lessons are conducted 1-1 or 2-1 at a table (never in a classroom or in large groups)

- You’ll teach using a fully prepared curriculum with worksheets, notes, and question banks already created for you. So, you do not need to worry about creating your own content.

If you enjoy guiding students step-by-step and explaining ideas clearly, this role will feel natural, manageable, and fulfilling.

Why This Role Stands Out

• Low-Stress Teaching (No Classroom and No Discipline Issues)

You teach at a table, with 1 student or 2 students at a time.

• All Curriculum & Materials Provided

Every topic comes with ready-made worksheets, notes, and structured methods.

You focus on teaching, not preparing materials.

• Clear Training & Daily Support

We guide you through our teaching methods, and you work alongside 250 other full-time teachers who support one another every day.

• 18 Years of Experience, 20,000+ Students Taught

A long-standing organisation with deep experience and consistent demand year-round.

Simple Walk-In Interview

Visit us any day.

Flexible and provides generous leave benefits:

- Annual Leave

- Medical Leave

- Family Care Leave

- Birthday Leave

- Overtime

- Hospitalisation Leave

- Public Holidays

- Medical Insurance (General Physician, Specialist, Hospitalisation, Dental Plan)

Key Responsibilities
- Survey Operations:
- Support Project Managers/Directors in achieving survey objectives
- Provide one-stop service to respondents for timely and accurate data collection
- Develop expertise in survey content, objectives, and deliverables
- Data Collection:
- Conduct outbound calls, email correspondence, and personal visits to respondents
- Accurately compile, record, and input survey data into the system
- Data Analytics:
- Leverage data analytics tools to validate and verify survey data quality
- Explore alternative data sources and apply imputation methods for incomplete data
- Data Analysis & Reporting:
- Analyze collected data and produce actionable reports with data visualization
- Present findings effectively to stakeholders
- Dissemination Strategy:
- Develop and execute strategies to raise awareness of statistical products
- Ensure products meet diverse needs of various societal segments

Requirements
- Proven experience in survey operations, data analytics, or a related field
- Strong understanding of survey content, objectives, and deliverables
- Excellent communication and interpersonal skills
- Ability to work independently and manage multiple priorities
- Strong analytical and problem-solving skills

Interested candidates, please click on the following link to begin your job search journey and submit your curriculum vitae (CV) directly through the official PERSOL job application platform - GO.

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PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No: R1770602 (Teng Min Yee)

Head of Science (Primary school level)

Working days & hours :
Centre days: 44 hours per week ; 4 weekday (1030AM-730PM / 1230PM - 930PM) + 1 weekend (830AM - 630PM)
HQ days (Meeting): Weekdays 930AM to 630PM 
Working location: Toa Payoh, travel to Woodleigh Mall to support the launch of new classes (including at least one new class). 
Salary: $6000 - $7500
Report to: Managing Director 

Role Overview: We are hiring a Head of Science (Primary) to lead and strengthen a structured P3‒P6 Science programme.

This is a hands-on leadership role combining curriculum ownership, teaching, and teacher development. The role operates within an existing programme framework and is responsible for refining, improving, and scaling it to ensure consistent teaching quality and strong student outcomes across centres.

This role is critical in ensuring the programme delivers reliable results beyond individual teachers, with clear ownership over curriculum standards, teaching consistency, and overall programme effectiveness.

We’re looking for someone who can take a structured primary science programme, ensure consistent quality, and successfully roll it out across multiple centres.

Job Responsibilities: 

• Oversee and refine the P3‒P6 science curriculum, ensuring alignment with MOE syllabus and PSLE requirements
• Develop structured teaching approaches to ensure consistent lesson delivery
• Monitor student progress and continuously improve programme outcomes
• Engage parents through clear communication on student development
• Support trial classes and contribute to enrolment growth
• Teach 4‒6 classes per week, including at least 1 weekend, with teaching load adjusted as the teaching team expands
• Hire and train teachers to deliver high-quality lessons

Requirement:

• Degree in Science or related field (MOE/NIE-trained preferred
• Minimum 5‒8 years of Primary Science teaching experience.
• Proven track record of improving student outcomes. 
• Experience in curriculum development, mentoring, or academic leadership is advantageous. 
• Comfortable with weekend work and centre-based environment

Interested applicants, WA your resume to +65 9136 9792 or email your resume to supreme.yentan@gmail.com.

Tan Yen Zhen (Chen Yan Zhen) Reg No: R25138932

The SupremeHR Advisory Pte Ltd EA No: 14C7279

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are seeking a highly motivated individual with a solid background in software engineering, machine learning or/and AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.

Role Overview:

As an Analyst, AI/ML, you will play a crucial role in the development and implementation of cutting-edge Generative AI solutions that address significant business challenges. This role focusses on hands-on implementation, rapid prototyping, and collaboration with cross-functional teams to deliver innovative solutions that address real business challenges. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Responsibilities

• Develop and implement Proof of Concepts (PoCs) prototypes for AI/ML and Generative AI solutions, ensuring alignment with business objectives.
• Write clean, efficient, and well-documented code for data processing, model training, and deployment.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms.
• Conduct experiments to evaluate model performance and optimize algorithms for scalability.
• Stay abreast of the latest trends in AI/ML and actively share knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Collaborate with the Technology team to integrate solutions into our existing systems and platforms, enhancing functionality and user engagement.
• Actively participate in technical discussions and forums across Amex

Qualifications

• Advanced degree (Master/ PhD) in quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Strong programming skills in at least one language (Python, Java, C++, etc.)
• Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data processing libraries
• Extensive experience in machine learning, NLP and Generative AI, with a demonstrated ability to build scalable prototypes from inception to solution.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects on real-world problems.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Data processing skills such as SQL and BigQuery is a plus.
• Strong ability to translate real-world problems to data science problems.
• Excellent communication and collaboration skills, with the ability to collaborate effectively with both technical and non-technical teams.

Data Analysis and Research exposure with a Public Agency!

• Up to $5,500 per month
• 11-month contract
• Mon - Fri, office hours
• Central Location

What to expect:

• Support the development, implementation, and testing of a new data analytics system as part of a project team.
• Generate data-driven insights through Excel visualisations (e.g., charts, pivot tables, dashboards)
• and support testing of enhancements to data visualisation tools and pipelines.
• Collaborate with stakeholders including data custodians, data engineers, product managers, and contractors to deliver solutions aligned with organisational needs.
• Co-ordinate project operations such as vendor management, research material reviews, survey platform testing, and ensuring quality deliverables.
• Consolidate and standardise data from multiple sources while maintaining data integrity and consistency.

Requirements:

• Possesses minimum a Bachelor's Degree with 2 years of experience in quantitative market research project management, data profiling and review.
• Working knowledge of R and/or Python would be advantageous.
• Strong analytical skills, detail-oriented with high level of accuracy in data management.

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Goh Yi Min, Mai - R22104617

ScienTec Consulting Pte Ltd - 11C5781