Total 6 job vacancies in Singapore

We are actively searching for a seasoned Senior Real Estate Research Analyst to join our team. In this pivotal role, your primary duty will be to undertake comprehensive research that informs the creation of compelling and insightful content centered around the real estate industry. Your expertise will extend into exploring secondary topics like finance, mortgage, interest rates, and other macroeconomic factors intertwined with real estate.

The ideal candidate will not only have a flair for writing but also a deep-rooted understanding and passion for the real estate market. Beyond content creation, your responsibilities will encompass data gathering, information processing, and detailed market analysis. You will be a key asset, providing crucial research support to our market intelligence division and pivotal stakeholders.

Responsibilities

• Produce and deliver analytical reports on the real estate market, alongside pieces of content and presentation slides covering market trends, property specifics, investment tactics, and home buying/selling insights.
• Conduct and develop in-depth research content on Singapore’s real estate sector, with a key focus on the residential and commercial sectors
• Identify economic patterns and property cycles, and develop compelling content on finance, mortgage, interest rates, and related real estate industry subjects.
• To keep abreast of economic news, indicators, and policies, and analyze the impact on supply and demand dynamics
• Assist in liaising with media correspondents and prepare commentaries to be broadcasted on selected news outlet
• Collaborating with the creative team to vet and select suitable images and visuals to enhance the written content.
• Collaborating with other team members and subject matter experts, to ensure the quality and accuracy of the content produced.
• Ad hoc writing assignments covering newly released real estate policies or regulatory changes, ensuring accurate and timely coverage.
• Maintain a large database for research publications and work input
• Prepare presentation decks for the upper management levels
• Provide critical analysis of the latest news, press releases, or announcements that may affect the property sector

Requirements

• A diploma or degree in Real Estate, Economics, or a related field is preferred
• Proficiency in using digital tools and platforms for content creation, collaboration, and research.
• In-depth knowledge of real estate industry trends, market dynamics, and related topics.
• Strong critical thinking and analytical skills
• Possess knowledge in real estate economics and valuation
• Fluency in oral and written English is essential
• Highly motivated individual with keen attention in detail
• A good team player and is able to work independently with limited supervision

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.

Passionate Primary Math & Science Tutor (PSLE Specialist)

Are you a passionate educator with an entrepreneurial spirit? Ready to make a real impact without the burden of creating materials? Join LevelUp Education Centre and help us shape the future of young minds!

At LevelUp, we're not just a tuition centre; we're a launchpad for student success. Our proven 3-Step Method™ helps over 80% of our students jump from AL5/6 to AL1–3 within a year. As we expand, we're looking for dedicated tutors to join our mission.

Your Role & Impact:

• Inspire Young Minds: Teach Primary 1-6 Math and Science to small classes (max 14 students), with a strong focus on PSLE preparation.

• Deliver Dynamic Lessons: Engage students using our pre-prepared, high-quality materials, complete with experiments, real-life examples, and visual aids.

• Foster a Positive Learning Environment: Utilise your excellent classroom management skills to maintain discipline through engagement and encouragement, not scolding.

• Partner with Parents: Communicate student progress effectively using our provided templates and build strong parent-tutor relationships.

Why You'll Love Working with LevelUp:

• Focus on Teaching, Not Paperwork: All lesson plans, worksheets, and teaching materials are provided. You get to focus on what you do best: teaching.

• Clear Career Progression: We invest in your growth. Follow a structured pathway from Tutor → Senior Tutor → Master Tutor, with opportunities to advance into a Branch Manager role.

• Comprehensive Training & Support: Benefit from our structured training program on "The LevelUp Education Way™" and receive continuous support from a nurturing team.

• Modern & Supportive Environment: Teach in classrooms equipped with smartboards and interactive tools. Your ideas and contributions are valued here.

Who We're Looking For:

• Must-Haves:

  • A Diploma or Degree in a relevant field (Education, Math, Science, etc.).

  • At least 1 year of experience teaching small groups of primary school students.

  • A genuine passion for teaching and a desire to see students succeed.

  • Excellent communication skills in English.

  • Able to work on weekends and weekday afternoons/evenings.

• Stand-Out Candidates Will Have:

  • Strong academic results in Math and/or Science (e.g., A at O/A Levels).

  • The ability to speak Mandarin to communicate with some parents and students.

  • A proven talent for managing a classroom with positive reinforcement.

The Details:

• Job Type: Full-Time

• Working Schedule: 5-day week (4 weekdays, 1 weekend)

• Working Hours:

  • Weekdays: 2:00 PM - 9:30 PM

  • Weekends: 9:00 AM - 5:00 PM

Our Hiring Process:

1. First Interview: A virtual interview via Zoom, including a short diagnostic test.

2. Second Interview: An in-person interview and teaching demonstration at our Toa Payoh branch.

Ready to Grow with Us?

If you're excited to join a dynamic team and make a tangible difference, we want to hear from you! 

Click here for more information about LevelUp tuition

Job Title: Passionate Primary Math & Science Tutor (PSLE Specialist)

Company: LevelUp Education Centre

Locations: Hougang Green Mall | Toa Payoh | City Square Mall

Salary: $3,000 - $4,500 per month + Performance & Student Result Bonuses

Tiktok: https://www.tiktok.com/@leveluptuitionsg

Website: https://www.leveluptuition.sg/

Job Responsibilities:

• Conduct research analysis, market intelligence and trend tracking for the residential and commercial sectors.
• Monitor macroeconomic and industry trends by compiling, preparing and managing high-quality market data for report analysis.
• Strong aptitude in research and data analytics with relevant experience working with statistical tools to interpret and analyze data.
• Write research reports and produce infographics for clients’ business needs.
• Prepare materials for presentations and support research training.
• Works across team units to support data and research needs.
• Assist in providing input for marketing and consultancy proposals.
• Keen to explore ways of disrupting data analysis with tech, machine learning / AI and/ or programming to keep abreast of emerging technologies and the fast-moving digital landscape.

Job Requirements:

• Min. Degree in Real Estate, Economics, Statistics, Business or related field, candidates with at least 2 years' experience in commercial markets preferred  
• Strong analytical skills with the ability to collect, organise, and analyse data sets with accuracy.
• Proficient in writing and statistics.
• Candidates familiar with Real Estate research will be of advantage.
• Meticulous and detail-oriented.
•  Excellent analytical, communication, interpersonal and presentation skills.
• Good command of written and oral English.
• Experience with machine learning/data modelling for data analysis, programming languages like Python, R, VBA and/or knowledge of Power BI, scripting, of JAVA is an added advantage.
•  Adaptable and independent in a dynamic environment, passionate about making a difference and having a growth mindset.