623 Senior 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!

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An empowering career at Singtel begins with a Hello. Our purpose, to Empower Every Generation, connects people to the possibilities they need to excel. Every "hello" at Singtel opens doors to new initiatives, growth, and BIG possibilities that takes your career to new heights. So, when you say hello to us, you are really empowered to say…“Hello BIG Possibilities”.

Be a Part of Something BIG!

As a Data Scientist, you will play a pivotal role in uncovering deep customer insights and developing AI/ML solutions that unlock business value across Singtel’s core product lines – including Mobile, Broadband, TV and Enterprise services. Embedded within the AI & Data Analytics (AIDA) business unit, your work will enable the identification of cross-sell and up-sell opportunities, support personalised engagement strategies and drive data-informed decisions to unlock new revenue streams and enhance customer lifetime value.

This role sits at the intersection of data, AI / ML, and marketing, serving as a key enabler in translating the company’s AI vision into impactful, data-driven solutions. You will collaborate closely with cross-functional teams across Marketing, IT, Analytics, and external partners to develop, validate, and operationalize machine learning models and GenAI applications that are deeply integrated into enterprise platforms and architected for scalability and long-term growth.

Make An Impact By

• Lead Data Science Initiatives: Work closely with business stakeholders to identify high-value opportunities, define problem statements, and architect end-to-end AI/ML solutions (including Generative AI and LLM implementations) that align with organizational objectives.
• Model Development & Integration: Design, build, and integrate analytical models into a customer-centric decision engine. Champion best practices for model deployment, scalability, and monitoring in production environments.
• Customer Behavior Analysis: Apply cutting-edge techniques to uncover insights on customer behavior, life stages, affluence, and interests across Singtel’s products and services. Deliver actionable recommendations to enhance customer experiences and drive revenue growth.
• Data Exploration & Experimentation: Enable robust data exploration, insight discovery, and experimentation for lifecycle marketing campaigns. Devise and execute rigorous A/B tests, segmentations, and optimization strategies to continuously improve business outcomes.
• Stakeholder Communication: Communicate complex analytical findings and recommendations to diverse audiences—ranging from technical teams to senior leadership—in a clear, concise, and compelling manner.
• Coding Standards & Technical Practice: Follow best practices in coding, version control, and documentation to ensure collaboration and reproducibility. Gain exposure to production workflows and cloud-based environments with a focus on cost efficiency and performance.
• Continuous Learning: Stay updated on industry trends, new tools, and techniques in AI/ML/GenAI and customer analytics. Proactively seek opportunities to apply new knowledge to business problems.

Skills for Success:

• Bachelor or Postgraduate degree in computer science, mathematics, statistics, or a related field, with at least 1 years of relevant working experience.
• Deep technical and data science expertise, demonstrating proficiency in:
  • Machine Learning & Statistical Modelling: Including linear regression, GLMs, time series forecasting, supervised learning (e.g., gradient boosted trees, neural networks), segmentation, clustering, design of experiments, and causal inference.
  • Efficient data manipulation (with skills in SQL, Python, Spark, Hadoop/Hive, and Databricks) and data visualization (using tools like Power BI).
  • Familiar with software engineering best practices, including modular code design, reproducibility, and testing. Proficient with version control tools such as GitHub, GitLab, and Bitbucket
• Strong problem-solving skills, with the ability to identify and solve complex business problems through data analysis.
• A team player with a customer-focused mindset, able to work well in a team and passionate about delivering exceptional customer experiences.
• Excellent data visualization and communication skills, with the ability to present insights and findings in a clear, concise, and compelling manner, both in written and verbal form.

Are you ready to say hello to BIG Possibilities?

Take the leap with Singtel to unlock new opportunities and accelerate your growth. Apply now and start your empowering career!

Responsibilities:

• Collaborate with data and cross-functional teams to understand business objectives and translate them into data-driven solutions.
• Develop, train, and refine machine learning models to support agritech innovations, ensuring accuracy, scalability, and efficiency.
• Perform data cleaning, preprocessing, and feature engineering to enhance model performance.
• Design and implement data pipelines and ETL processes to enable efficient data ingestion and transformation.
• Conduct exploratory data analysis to uncover insights and trends that drive business decisions.
• Create visualizations and reports to communicate key findings and model performance to stakeholders.
• Work with hardware and networking teams to integrate data-driven solutions with IoT and sensor-based systems.
• Assist in the setup and maintenance of data infrastructure, ensuring seamless data collection, storage, and accessibility.
• Collaborate with the MES software team to design and integrate AI Agent workflows that enhance automation and decision-making across manufacturing operations.

Qualifications:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Strong understanding of machine learning fundamentals, including supervised and unsupervised learning techniques.
• Proficiency in programming languages such as Python or similar for data analysis and modeling.
• Hands-on experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch).
• Experience with SQL for data retrieval, manipulation, and performance optimization.
• Familiarity with data pipeline development, ETL processes, and cloud-based data solutions is a plus.
• Strong problem-solving skills, analytical thinking, and ability to communicate findings effectively to non-technical stakeholders.

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Direct message the job poster from SCIENTE

An excellent opportunity for a Data Scientist to work on Generative AI (Gen AI) and Machine Learning (ML) projects, for a reputed organization. This role involved working closely with stakeholders across departments to improve business processes and deliver impactful AI-driven outcomes.

Mandatory Skill-set

• Degree in Information Technology, Computer Science, Engineering, Business or Data Science;
• Must have 3 years of experience in a Data Science role, preferably within AWS cloud environments ;
• Able to translate technical concepts into business use cases and obtain buy-in from stakeholders for the AI/ML use cases;
• Experience in designing for GenAI models, including metrices and human-in-a-loop evaluation;
• Must have exposure in SQL, Python, and Spark, AW S;
• Must have experience in supervised and unsupervised ML techniques such as regression, clustering, and tree-based models;
• Deep understanding of feature engineering, hyperparameter tuning, and model evaluation methods;
• Hands-on experience implementing MLOps practices on AWS as well as AWS bedrock;
• Familiarity with data warehouses and big data tools such as Redshift, BigQuery, Snowflake, Hive, S3;

Desired Skill-set

• AWS certifications;
• Prior experience in financial services, telecommunications, or consulting industries.

Responsibilities

• Own AI/ML use cases from ideation to production, including continuous monitoring and enhancement;
• Serve as a Gen AI technical specialist within the Data Science team, designing and implementing models to support advisor sales journeys and operational efficiency;
• Collaborate cross-functionally with data engineers, analysts, product teams, and business stakeholders to design and deliver robust AI/ML solutions;
• Translate business problems into technical requirements through proactive stakeholder engagement;
• Maintain detailed documentation covering dataset preparation, modeling approach, performance metrics, and workflow processes;
• Ensure all AI/ML solutions comply with data privacy laws (e.g., PDPA) and AI governance policies;
• Promote innovation and continuous improvement across AI/ML models and processes.

Should you be interested in this career opportunity, please send in your updated resume to at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

• Seniority level Associate

• Employment type Full-time

• Job function Information Technology, Strategy/Planning, and Other
• Industries Financial Services, Insurance, and IT Services and IT Consulting

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About NetEase Games:

As a leading internet technology company based in China, NetEase, Inc. (NASDAQ: NTES and HKEX:999, “NetEase”) provides premium online services centered around content creation. With extensive offerings across its expanding gaming ecosystem, the Company develops and operates some of China’s most popular and longest-running mobile and PC games. Powered by industry-leading in-house R&D capabilities in China and globally, NetEase creates superior gaming experiences, inspires players, and passionately delivers value for its thriving community worldwide. By infusing play with culture and education with technology, NetEase transforms gaming into a meaningful vehicle to build a more entertaining and enlightened world.

NetEase’s ESG initiatives are among the best in the global media and entertainment industry, earning it a distinction as one of the S&P Global Industry Movers and an “A” rating from MSCI. For more information, please visit:

Job Responsibilities:

• Utilize quantitative and modeling analysis methods to analyze and optimize game-related products, providing data interpretation and strategic recommendations to support business decision-making and help develop actionable strategies.
• Participate in A/B test design and analysis, user behavior tracking and retention analysis, as well as marketing campaign performance evaluation, offering systematic data capabilities and in-depth analytical insights.
• Continuously explore the application of cutting-edge machine learning algorithms (e.g., recommendation systems, graph neural networks, reinforcement learning, etc.) in gaming scenarios such as recommendation, social features, and matchmaking system optimization.

Qualifications:

• Master's or Ph.D. student in data mining, information retrieval, recommendation systems, or related fields.
• Strong programming skills with proficiency in Python, SQL, and shell scripting; expertise in PyTorch, TensorFlow, and other common neural network frameworks; solid understanding of commonly used machine learning methods.
• Sensitive to core performance metrics, with great communication and teamwork skills; high sense of responsibility, and ability to proactively drive project execution.
• Passionate about games and fluency in Chinese as working partners and stakeholders are from China.
• Candidates with publications in top conferences (e.g., ACL, NAACL, EMNLP, AAAI, NeurIPS, KDD, IJCAI, SIGIR) or with relevant competition experience are preferred.

• Partner with stakeholders to define project objectives, gather business requirements, and identify relevant data sources
• Perform exploratory data analysis and deliver rapid analytical iterations to refine problem statements and surface actionable in
• Design and implement suitable machine learning algorithms or statistical models to solve targeted business problems

Summary

We are looking for a Data Scientist with expertise in Natural Language Processing to work on developing Machine Learning Algorithms and implement NLP/LLM solutions.

Key Responsibilities:

• Partner with stakeholders to define project objectives, gather business requirements, and identify relevant data sources.
• Perform exploratory data analysis and deliver rapid analytical iterations to refine problem statements and surface actionable insights.
• Design and implement suitable machine learning algorithms or statistical models to solve targeted business problems.
• Interpret and effectively communicate analytical outcomes to both technical and non-technical stakeholders.
• Collaborate with Data and ML Engineers to deploy models and algorithms into production environments.
• Support the development of scalable data science infrastructure, tools, and frameworks to streamline analysis, experimentation, and deployment.
• Stay abreast of industry trends and best practices to continuously enhance the team’s capabilities and methodologies.
• Ensure solution delivery is aligned with Agile principles and development practices.

The Candidate:

• Minimally 3 years of experience in Data Science focusing on NLP/LLM with demonstrated experience of delivering data driven solutions.
• Strong experience in Python and SQL on data manipulation and analysis libraries.
• Proven experience with machine learning frameworks, libraries and data visualization tool
• Proven ability with AWS/Azure services relating to NLP/LLM.
• Ability to perform root cause analysis and resolve technical problems.
• Excellent communicator with ability to present findings and key concepts across to technical and non-technical stakeholders.
• Independent and proactive team player.

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

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.

• 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 presentation 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 benchmarked against big players in the industry
• Flexible working hours
• Comprehensive insurance coverage
• Wellness fund
• Very well-stocked pantry
• Communities of Practice and Workshops catered for your growth and learning
• Substantial subsidies and programs to keep that creative flow while having fun
• Hardcore work and hardcore fun!

Working at Titansoft will probably be unlike any other careers you have ever had. Discover why you should join us!

Join to apply for the Data Scientist role at Hyundai Motor Group Innovation Center Singapore (HMGICS) .

This position is responsible for applying data-driven problem-solving, data science, and optimization techniques to resolve real-life manufacturing problems and deploy the solutions in a production environment.

What To Expect

HMGICS seeks data scientists interested in solving industrial problems and applying solutions at scale in a mass-production environment. Candidates should have a technological interest in Data Analytics, Optimization, AI/ML, or Generative AI & LLMs, and a functional interest in logistics, supply chain, assembly, quality, maintenance, or enterprise functions.

• Participate as a data scientist in multidisciplinary teams to improve production performance in areas such as logistics, supply chain, assembly, maintenance, and quality.
• Perform explanatory analytics to understand and optimize key performance drivers.
• Develop and maintain models to enhance productivity, flexibility, quality, or sustainability.
• Deploy models in production and train engineers and technicians to utilize insights for performance improvement.

What You'll Bring

• Bachelor's or Master's in Industrial Engineering, Computer Science, Mathematics, or equivalent experience.
• 2-5 years of project experience as a data scientist resolving industrial problems and ensuring adoption of data solutions.
• Preferred experience in manufacturing and/or automotive industry.
• Experience in implementing data science or AI projects at scale.
• Strong problem-solving skills, including rapid analysis, idea development, and deployment.
• Experience with Regression, Classification, Clustering, Time Series, Forecasting, or Kernel methods.
• Skills in Mathematical programming, Metaheuristics, or Optimization algorithms.
• Experience with distributed data frameworks like Hadoop, Spark, or Hive.
• Proficiency with data mining frameworks such as PyTorch, TensorFlow, Scikit-learn, or MLlib.
• Experience with Generative AI and LLMs is a plus.

• Entry level

• Full-time

• Engineering and Information Technology

• Motor Vehicle Manufacturing

Join to apply for the Data Scientist role at Micron Technology

Join to apply for the Data Scientist role at Micron Technology

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Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

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

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

In This Role You Will Have The Following Responsibilities

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets and to deliver meaningful end-to-end solutions for users.
• Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning. Exposure to the semiconductor industry is a plus but not a requirement.
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Coordinate production deployment activities, including cross-functional communications, approval and execution of changes in live environments.
• Strong software development skills.
• Strong verbal and written communication skills.
  
  

• Proficiency in machine learning and advanced analytical methods
• Strong programming skills in Python and/or R
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or similar
• Familiarity with front-end and visualization tools like JavaScript, AngularJS 2.0, Tableau, Python Dash, R Shiny, or Streamlit.
  
  

• Distributed computing frameworks: PySpark, SparkR, or SparklyR
• Big data technologies: Hadoop, Hive, Spark, HBase
• Working knowledge of Teradata or other SQL-based databases
• Exposure to ETL tools like SSIS, containerization with Docker, and cloud platforms such as Google Cloud Platform (GCP)
• Interest in Large Language Models (LLMs)
  
  

• Experience handling time-series data, image data, semi-supervised learning, or non-stationary data distributions
• Familiarity with Manufacturing Execution Systems (MES)
• Contributions to top-tier conferences such as CVPR, NeurIPS, ICML, or KDD (Note: This is not a research-focused role)
  
  

• Seniority level Entry level

• Employment type Full-time

• Job function Other
• Industries Computer Hardware Manufacturing, Appliances, Electrical, and Electronics Manufacturing, and Semiconductor Manufacturing

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South East Community Development Council, Singapore 3 days ago

Queenstown, Central Singapore Community Development Council, Singapore 5 months ago

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