414 Senior Data Scientist jobs in Singapore

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.

Join to apply for the Data Scientist role at NTT DATA, Inc.

Join to apply for the Data Scientist role at NTT DATA, Inc.

Get AI-powered advice on this job and more exclusive features.

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.

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.

Responsibilities

• 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.
  
  

• 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.
  
  

• Seniority level Entry level

• Employment type Full-time

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

Referrals increase your chances of interviewing at NTT DATA, Inc. by 2x

South East Community Development Council, Singapore 4 days ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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

Referrals increase your chances of interviewing at Tan Tock Seng Hospital by 2x

South East Community Development Council, Singapore 1 week ago

Changi, East Region, Singapore 13 hours ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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