384 Data Scientist jobs in Singapore

About Us

99 Group is a leading real estate technology company that operates real estate portals across South East Asia, specializing in digital property advertising. Headquartered in Singapore, it is currently operational in Singapore and Indonesia and employs over 500 employees. In Singapore, 99 Group operates 99.co and SRX.com.sg , while in Indonesia, it operates 99.co/id and Rumah123 .

Join Us and Lead the Real Estate Revolution!

We are looking for a junior-level data scientist who is equally comfortable writing SQL queries and ML models as they are stepping into a room with stakeholders to solve business problems. This person will be learning the ropes to be a go-to data consultant for internal teams — from product managers to the CEO — helping them make data-driven decisions, build experiments, and uncover strategic opportunities.

What You'll Be Doing:

• Collaborate with business stakeholders to deeply understand problems and design data-backed solutions.
• Perform ad hoc analysis, report, A/B test evaluation, and causal inference when needed.
• Develop, test, and deploy machine learning models in production (e.g., demand forecasting, pricing models, recommendations etc.).
• Generate data visualizations and dashboards to communicate insights clearly.
• Collaborate with cross-functional teams to define business problems and translate them into data solutions.
• Act as a data partner to stakeholders — translating complex questions into analytical plans, and results into actionable recommendations.
• Stay updated on latest tools, techniques, applications and best practices in data science and machine learning.

What We're Looking For:

• Strong SQL skill and using Python for software engineering, data wrangling and ML-modelling.
• Familiar with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or other similar ML/DL libraries.
• Strong understanding of statistical modeling, hypothesis testing.
• Excellent communication and stakeholder management skills — able to translate data insights into business impact.

Are you ready to shape the future of real estate? Join us in this exciting journey of innovation, collaboration, and growth. Together, let's redefine what's possible in the world of real estate.

Make your mark at 99 Group. Apply now!

Join to apply for the Data Scientist role at Tan Tock Seng Hospital

Join to apply for the Data Scientist role at Tan Tock Seng Hospital

We are leading an AI Lab, pioneering in the field of artificial intelligence in healthcare. Our mission is to revolutionalise the way AI models are developed and deployed, making it accessible and efficient for healthcare use. We are committed to creating an AI platform that empowers data scientists and engineers to bring their AI models from conception to production seamlessly.

Successful candidate will be part of a team of Data Scientists who partner clinicians to propose, develop, and implement advanced Artificial Intelligence / Machine Learning Models and pipelines to augment clinical workflows in NHG cluster. The candidate will also ensure the adequacy and effectiveness of the models and tools for NHG.

Primary Responsibilities

In this role, you will:

• Research and develop machine learning models in various clinical areas such as clinical notes, medical images, and patients’ data
• Develop, train and test AI models in the local medical domain
• Work with the service team to design and architect the workflow of the data and algorithms including data input, output, and storage between various health IT systems
• Lead in the gathering of requirements and data by working and coordinating with clinicians and other relevant internal and external stakeholders
• Work with the service team to develop and deploy necessary AI models for NHG Document clearly explaining how the algorithms have been implemented, verified, and validate
  
  

• Minimum Bachelor’s degree in computer science or related fields with strong statistical modelling and machine learning skills
• Master’s degree in related fields is preferred
  
  

• Hands-on experience in the development of end-to-end data analytics solutions and machine learning pipeline including data exploration/extraction/crawling, data processing, and model building
• Hands-on experience on development of AI models in NLP is a plus
• Proficient in programming in AI related frameworks in any relevant language (e.g. R, Python)
• Knowledge and experience in machine learning platform and services from cloud providers such as AWS, GCP, Azure
• Familiarity with healthcare data, medical image is a plus
• Experience in leading AI projects and virtual team
• Strong problem-solving skills with the ability to work independently and in a team
• Good written and verbal communication skills, including the ability to communicate technically and non-technically with ability to translate between the two
• Experience with Health IT, EMR systems like EPIC/NGEMR is an advantage.
• Experience with data engineering in healthcare systems is an advantage

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Hospitals and Health Care

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South East Community Development Council, Singapore 1 week ago

Changi, East Region, Singapore 13 hours ago

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Upskills provides expert financial software consulting to investment banks and leading financial institutions in Asia Pacific, Middle East and Europe. With a strong, Front to Back expertise in the cash and derivatives markets, coupled by an in-depth knowledge of financial markets technologies, we provide smart and efficient solutions.
We are looking for highly-motivated Data Scientist(s) that will help discover information hidden in vast amounts of data to make smarter decisions. You will be applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Reporting to the head of data science, you will be responsible for leading client projects related to AI and Machine Learning domain with a focus towards applications to capital markets with key responsibilities given as below:

• Work with Data Scientist(s) and product management to implement data-driven features/product.
• Apply architecture and system design theories and principles, perform complex work in research, design, and development of new or existing products, tools and processes required for the operation, maintenance and testing of products.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Be a key contributor to the engineering of distributed systems, frameworks, and design patterns of Data Science/Machine Learning.
• Use Scala, Java or Python to utilize Hadoop/Spark to collect and analyze large-scale datasets in batch and real-time
• Build, monitor, and maintain data ETL pipelines.

• PhD, Master or Bachelor holder in Computer Science, Data Science, Artificial Intelligence or Quantitative Disciplines.
• Proficient in Programming with Python, R.
• Experience with data visualization tools such as Tableau, Qlikview, GGPlot etc.
• Undertaking data collection, preprocessing and analysis of structured and unstructured data.
• Good applied statistics skills, such as distributions, statistical testing, regression.
• Strong theoretical foundation in Statistics and Advanced Machine Learning concepts.
• Experienced in Development of NLP based Deep Learning models and Recommendation models as well.
• Experienced in using Big Data Architecture and the tools in the landscape.
• Knowledge about Financial Products and Processes in Capital Markets Industry are strong plus.
• Excellent oral and written communication skills to interact with all levels in the organization, including senior management.
• Strong decision-making and analysis skills.

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Your day at NTT DATA

We are seeking a highly motivated and curious Junior Data Scientist to join our data team. This role is ideal for fresh graduates who are passionate about data, analytics, and solving real-world problems using machine learning and statistical techniques. You will work closely with experienced data scientists and engineers to build data-driven solutions that drive business value.

• Assist in collecting, processing, and analyzing large datasets from various sources.
• Build and evaluate predictive models using machine learning algorithms.
• Support the development of data pipelines and automation workflows.
• Create visualizations and dashboards to communicate insights to stakeholders.
• Collaborate with cross-functional teams to understand business needs and translate them into data science solutions.
• Stay updated with the latest trends and tools in data science and AI.

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Strong foundation in statistics, data analysis, and machine learning concepts.
• Proficiency in Python or Ruby, and familiarity with libraries such as pandas, scikit-learn, NumPy, or TensorFlow.
• Experience with SQL and data querying.
• Good communication and problem-solving skills.
• Eagerness to learn and grow in a collaborative environment.

Preferred / Added Advantages

• Participation in data science internships, innovation programs, or competitions (e.g., Kaggle, hackathons, university challenges).
• Experience with real-world datasets or academic projects involving predictive modeling or data storytelling.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and tools like Jupyter Notebooks or Git.

Workplace type :

About NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Job Responsibilities:

• Conduct research on computer vision, deep learning and AI problems

• Build prototype applications in AI domains such as computer vision, self-supervised learning, multi-modality learning etc

• Work closely with a team of scientists and researchers to concept and iterate on software development

• Develop and deploy data science prototypes, with a focus on bringing machine learning models into production

• Design and implement scalable and high-performance machine learning models, with a focus on troubleshooting performance and accuracy issues

• Collaborate with technical and non-technical teams locally and overseas, and present proof of concepts to stakeholders effectively

• Build data cleaning and augmentation pipelines for both machine learning and deep learning model-based projects

• Automate processes and workflows for efficient delivery of data science products via scripting and open-source tools

• Familiarity with code management and version control systems such as GIT

• Stay updated with the latest advancements in data science, machine learning, and deployment techniques through independent research and open source tools and libraries

Job Requirements:

• Degree/Masters/PhD in Engineering or Science with min 3 years of relevant experience with atleast 1 year in Computer Vision Projects

• Experience in real-world data science projects, internships, hackathons, and personal projects

• Prior experience in Computer Vision related projects is mandatory

• Expertise in Python programming and using libraries for data processing, visualization, and model development, including pandas, numpy, scikit-learn, matplotlib, and seaborn

• Proficient in API concepts and libraries, and experienced in utilizing them for testing and deployment, leveraging frameworks such as Flask, Django, or FastAPI

• Familiar with databases (e.g., PostgreSQL, Minio) and SQL for data storage and retrieval

• Understand HTML/CSS/Javascript and have experience in front-end JavaScript frameworks such as Angular or React to design web interfaces for data science prototypes and deploy them.

• Engineering background experienced in Sensing, Controls, Automation, Optimization & Manufacturing Processes is a plus

• Data Engineering & Analytics

By responding to Yokogawa’s advertisement, consent is considered given to Yokogawa to collect the required personal data for the purpose of recruitment with expectation that Yokogawa will protect personal data with security safeguards that are reasonable and appropriate to the sensitivity of the personal data, to protect it from unauthorized access, use or disclosure and complies with applicable regulatory requirements with respect to the retention of personal data.

We regret to inform that only shortlisted candidates will be notified.

Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture.We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status.We will not discriminate based on race, skin color, age, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.

About Us

99 Group is a leading real estate technology company that operates real estate portals across South East Asia, specializing in digital property advertising. Headquartered in Singapore, it is currently operational in Singapore and Indonesia and employs over 500 employees. In Singapore, 99 Group operates 99.co and SRX.com.sg , while in Indonesia, it operates 99.co/id and Rumah123 .

Join Us and Lead the Real Estate Revolution!

We are looking for a junior-level data scientist who is equally comfortable writing SQL queries and ML models as they are stepping into a room with stakeholders to solve business problems. This person will be learning the ropes to be a go-to data consultant for internal teams — from product managers to the CEO — helping them make data-driven decisions, build experiments, and uncover strategic opportunities.

What You'll Be Doing:

• Collaborate with business stakeholders to deeply understand problems and design data-backed solutions.
• Perform ad hoc analysis, report, A/B test evaluation, and causal inference when needed.
• Develop, test, and deploy machine learning models in production (e.g., demand forecasting, pricing models, recommendations etc.).
• Generate data visualizations and dashboards to communicate insights clearly.
• Collaborate with cross-functional teams to define business problems and translate them into data solutions.
• Act as a data partner to stakeholders — translating complex questions into analytical plans, and results into actionable recommendations.
• Stay updated on latest tools, techniques, applications and best practices in data science and machine learning.

What We're Looking For:

• Strong SQL skill and using Python for software engineering, data wrangling and ML-modelling.
• Familiar with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow or other similar ML/DL libraries.
• Strong understanding of statistical modeling, hypothesis testing.
• Excellent communication and stakeholder management skills — able to translate data insights into business impact.

Are you ready to shape the future of real estate? Join us in this exciting journey of innovation, collaboration, and growth. Together, let's redefine what's possible in the world of real estate.

Make your mark at 99 Group. Apply now!

Job Responsibilities:

• Conduct research on computer vision, deep learning and AI problems
• Build prototype applications in various AI domains such as computer vision, self -supervised learning, multi-modality learning, etc.
• Work closely with a team of scientists and researchers to concept and iterate on software development
• Develop and deploy data science prototypes, with a focus on bringing machine learning models into production
• Design and implement scalable and high-performance machine learning models, with a focus on troubleshooting performance and accuracy issues
• Collaborate with teams locally and overseas, and present proof of concepts to stakeholders effectively
• Build data cleaning and augmentation pipelines for machine learning and deep learning model-based projects
• Automate processes and workflows for efficient delivery of data science products via scripting and open source tools
• Stay updated with the latest advancements in data science, machine learning, and deployment techniques

Requirements:

• Degree or above in Engineering or Science
• At least 1 year of relevant working experience
• Experience in real-world data science projects in the field of Computer Vision and Generative AI
• Expertise in Python programming and using libraries for data processing, visualization, and model development, including pandas, numpy, scikit-learn, matplotlib, and seaborn
• Proficient in API concepts and libraries, and experienced in utilizing them for testing and deployment, leveraging frameworks such as Flask, Django, or FastAPI
• Familiar with databases (e.g., PostgreSQL, Minio) and SQL for data storage and retrieval
• Understand HTML/CSS/Javascript and have experience in front-end JavaScript frameworks such as Angular or React

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About Us

Game changer, armed with data.

You know all about our users, through data analysis. And because you do, you can identify issues and present insights to our Product Owners, spurring them into action. Working with your team, you play a key role in enhancing our business value. After all, you're the one who ignited the spark. And no spark, no fire.

Job Description

What a Data Scientist does in Titansoft

• Conduct data analysis to support Product Owner and Business Leaders in business decisions and requirements
• Develop and automate reports for analytical purposes
• Collaborate with other Product Development teams to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations
• Support key decision makers to improve products and services
  
  

• Minimum Bachelor in Mathematics, Statistics, Finance, Computer Science, Information Technology or other equivalent qualifications
  
  

• Experience working with statistical software (e.g. R, Python, Excel, etc.) Basic statistical principles and practical applications
• Experience in measuring cost and production
• Experience in scripting with SQL
  
  

• A/B and Multivariate testing management
• Data visualization (such as Tableau, Excel, etc)
• Ability to translate analysis results into business recommendations and insights
• Ability to present the insights clearly to technical and non-technical audiences
• Strong written, verbal communication and presentations skills
  
  

• Deep interest and aptitude in data, metrics, analysis and trends, and applied knowledge of measurement, statistics and program evaluation
  
  

• 18 days of rest and relaxation for each year (P.S. It gets even better over the years!)
• Competitive salaries and bonuses bench-marked against big players in the industry (Yeap, those companies!)
• Flexible working hours (Sleep in a little longer after fixing that pesky bug from last night)
• Comprehensive insurance coverage Very well-stocked pantry (We've never heard of the term 'Hunger Games', nope)
• Communities of Practice and Workshops catered for your growth and learning
• Substantial subsidies and programs to keep that creative flow while having fun (Health promotion program, annual overseas company outing, an annual dinner that nobody will ever forget, etc.)
• Hardcore work and hardcore fun!

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology

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South East Community Development Council, Singapore 1 week ago

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2 months ago Be among the first 25 applicants

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Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession
• Grow Relentlessly: Strive to become our best, most authentic selves
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation
• Focus on Impact: Create impact through bias for action and tangible results
  
  

• Dive into real-world data to design and develop machine learning models for credit scoring, risk assessment, fraud detection, and more
• Support the calibration of model parameters and the optimisation of business logic
• Ensure models provide meaningful, actionable insights that help drive key business decisions
  
  
  

• Analyse datasets to identify trends, patterns and opportunities for improving existing models, scorecards, and processes
• Collaborate with the team to create automated reports and dashboards that track how models are performing and provide valuable insights to stakeholders
  
  
  

• Maintain and improve the infrastructure supporting the development, deployment, and production lifecycle of machine learning models
• Participate in automating workflows for tasks like model training, validation, and monitoring
  
  
  

• 1-3 years of experience in data science or related fields.
• Proven experience as a model developer in machine learning and statistical analysis projects
• Familiarity with programming languages like Python and SQL
• Interest and experience in fintech and credit modelling is a bonus.
  
  
  

• Strong analytical mindset with attention to detail and a problem-solving attitude
• Eager to collaborate and grow in a team that values proactivity, creativity, and continuous learning
• Great communication skills, both for discussing technical solutions and presenting insights to non-technical stakeholders
  
  
  

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

• Seniority level Associate

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries IT Services and IT Consulting

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South East Community Development Council, Singapore 1 week ago

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