369 Data Scientist jobs in Singapore

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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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MiRXES is a Singapore-headquartered molecular diagnostic company with R&D, manufacturing, and clinical lab operations in Singapore, USA, Japan, and China. We specialize in microRNA technologies and the development, manufacturing, and provision of diagnostic test kits and clinical services. Our mission is to enable early disease detection and provide insights for better patient care by harnessing the power of microRNA to augment traditional testing. Our vision is to be the world’s leading developer and provider of accurate, actionable, and affordable microRNA-powered diagnostic tests.

Job Summary

The Data Scientist will lead different projects, through the exploration from vast amount of data we generate in house to develop cancer diagnosis products. This individual will also collaborate with clinical, assay development, and product teams to guide project direction and design using data-driven insights.

Roles and Responsibilities

• Perform in-depth analysis on data with various machine learning and statistical methods.
• Discover hidden information in data; present data and analysis results in a logical and coherent manner to facilitate scientific contend creation.
• Through data analysis, identify novel DNA/RNA/ncRNA biomarkers for cancers OR develop models for multi-marker diagnostic test.
• Work with deep learning to integrate omics data with radiomics from CT and X-Ray images.
• Develop novel analytics tools and methods for better understanding of data, data generation process refinement and quality control.
• Facilitate the design and execution of experiment, process set up and quality control set up with statistical insights.
• Support other commercial activities.

Desired Skills and Competencies

• PhD/MSc. in related science background
• At least 2 years of experience in developing multi-marker diagnostic models, including data processing and machine learning.
• Good understanding of diagnostic biomarker discovery and biomarker panel optimization
• In-depth experience with NGS is desired.
• In-depth experience with circulating nucleic acid analysis is desired.
• Good verbal communication, interpersonal skills, and ability to work in a team.

This position is based in Singapore.

We appreciate your interest in the above-mentioned position, however, only shortlisted candidates will be contacted.

• Seniority level Associate

• Employment type Full-time

• Job function Analyst

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What the role is:

The Data Scientist will play a critical role in the development and implementation of AI-driven solutions to support the automation and deployment of Smart Contracts.

What you will be working on:

The successful candidate will work closely with the Legal Division (LED) to identify, extract, and transform relevant data from contracts to serve as inputs for the AI model. This involves compiling, cleaning, and processing the data to create a comprehensive and reliable dataset.

He/she will structure and optimise the algorithm by working iteratively with LED to incorporate legal and policy requirements into the model’s architecture and conduct tests on the algorithm.

To improve user experience, he/she will develop a user-friendly interface for the software and ensure that it integrates effectively with existing systems. He/she will also assist in carrying out user acceptance testing and refining the system based on feedback.

What we are looking for:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical discipline.
• Proficiency in Python programming is necessary.
• Proven experience in AI/ML engineering roles, particularly involving large language models (LLMs), retrieval-augmented generation (RAG) workflows, and the development and deployment of LLM-based agents, is strongly preferred.
• Demonstrated ability to tackle complex challenges and develop innovative AI solutions in scalable, production-grade code.
• A passion for keeping abreast of the latest AI/LLM developments and best practices.
• Excellent communication skills, with the ability to collaborate effectively across cross-functional teams and clearly explain complex AI concepts to non-technical audiences.

About Maritime and Port Authority of Singapore

The Maritime and Port Authority of Singapore (MPA) was established on 2 February 1996, with the mission to develop Singapore as a premier global hub port and international maritime centre (IMC), and to advance and safeguard Singapore's strategic maritime interests. MPA is the driving force behind Singapore's port and maritime development, taking on the roles of Port Authority, Port Regulator, Port Planner, IMC Champion, and National Maritime Representative. MPA partners the industry and other agencies to enhance safety, security, and environmental protection in our port waters, facilitate port operations and growth, expand the cluster of maritime ancillary services, and promote maritime R&D and manpower development.

Singlife is a leading homegrown financial services company, offering consumers a better way to financial freedom. Through innovative, technology-enabled solutions and a wide range of products and services, Singlife provides consumers control over their financial wellbeing at every stage of their lives.

In addition to a comprehensive suite of insurance plans, employee benefits, partnerships with financial adviser channels and bancassurance, Singlife offers investment and advisory solutions through its GROW with Singlife platform. It also offers the Singlife Account, a mobile-first insurance savings plan.

Singlife is the exclusive insurance provider for the Ministry of Defence, Ministry of Home Affairs and Public Officers Group Insurance Scheme. Singlife is also an official signatory of the United Nations Principles for Sustainable Insurance and the United Nations-supported Principles for Responsible Investment, affirming its commitment to finding a better way to sustainability.

The merger of Aviva Singapore and Singlife was announced in September 2020 and created one of the largest homegrown financial services companies in Singapore in a deal valued at S$3.2 billion. It was the largest insurance deal in Singapore at the time. Singlife was subsequently acquired by Sumitomo Life in March 2024, one of Japan’s leading life insurers, which valued Singlife at S$4.6 billion, making the transaction one of the largest insurance deals in Southeast Asia.

Responsibilities

• Implement and maintain data governance policies and standards across business units.
• Develop and manage enterprise data models, metadata, and lineage documentation.
• Perform data profiling, quality checks, and ensure compliance with data management protocols.
• Automate data workflows and support integration of GenAI for modeling and operational efficiency.
• Design and optimize scalable AI/ML pipelines and infrastructure using modern tools and frameworks.
• Collaborate with stakeholders to identify and deliver AI-driven solutions for business problems.
• Support MLOps and LLMOps practices including model deployment, monitoring, and lifecycle management.
• Mentor junior analysts and data scientists on data governance and engineering best practices.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field.
• 5-7 years of experience in data governance, data management, or GenAI solutions.
• Proficiency in SQL, Python, and cloud platforms such as AWS or Oracle Cloud.
• Experience with metadata tools, Snowflake, Airflow, and data quality frameworks.
• Strong understanding of transformer architectures and GenAI frameworks.
• Excellent communication and stakeholder management skills.
• Ability to work independently and collaboratively in a fast-paced environment.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Scientist within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities

• Define success metrics and deliverable timelines, ensuring projects are delivered on time and meet strategic objectives.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software
• Apply data mining, data modelling, natural language processing and machine learning to extract and analyse information from large structured and unstructured datasets
• Lead the integration of LLMs and LangChain into business processes.
• Understand the business requirements and design the data science solution in a way that marks the improvement in business processes using AI.
• Visualise, intepret and report findings and may create dynamic data reports as well.
• Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.
• Collaborate with stakeholders at all levels, presenting findings to a non-technical audience and providing strategic recommendations.
• Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• Min Bachelor’s degree in Computer science, Mathematics, Engineering, Statistics, or a related field.
• Min 4 years of proven experience as a Data Scientist, preferably at a manager level.
• Demonstrable experience with Generative AI, specifically with Large Language Models (LLM) and Langchain.
• Proficiency in Python and other applicable programming languages.
• Strong knowledge of machine learning, data mining, and predictive modeling.
• Excellent understanding of machine learning algorithms, processes, tools, and platforms.
• Possess strong problem-solving and strategic thinking abilities.

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.

Apply now.

MiRXES is a Singapore-headquartered molecular diagnostic company with R&D, manufacturing, and clinical lab operations in Singapore, USA, Japan, and China. We specialize in microRNA technologies and the development, manufacturing, and provision of diagnostic test kits and clinical services. Our mission is to enable early disease detection and provide insights for better patient care by harnessing the power of microRNA to augment traditional testing. Our vision is to be the world’s leading developer and provider of accurate, actionable, and affordable microRNA-powered diagnostic tests.

Job Location: Helios (Biopolis)

Job Summary

The Data Scientist will lead different projects, through the exploration from vast amount of data we generate in house to develop cancer diagnosis products. This individual will also collaborate with clinical, assay development, and product teams to guide project direction and design using data-driven insights.

Roles and Responsibilities

• Perform in-depth analysis on data with various machine learning and statistical methods.
• Discover hidden information in data; present data and analysis results in a logical and coherent manner to facilitate scientific contend creation.
• Through data analysis, identify novel DNA/RNA/ncRNA biomarkers for cancers OR develop models for multi-marker diagnostic test.
• Work with deep learning to integrate omics data with radiomics from CT and X-Ray images.
• Develop novel analytics tools and methods for better understanding of data, data generation process refinement and quality control.
• Facilitate the design and execution of experiment, process set up and quality control set up with statistical insights.
• Support other commercial activities.

Desired Skills and Competencies

• PhD/MSc. in related science background
• At least 2 years of experience in developing multi-marker diagnostic models, including data processing and machine learning.
• Good understanding of diagnostic biomarker discovery and biomarker panel optimization
• Good coding skills
• In-depth experience with NGS is desired.
• In-depth experience with circulating nucleic acid analysis is desired.
• Good verbal communication, interpersonal skills, and ability to work in a team.

This position is based in Singapore.

We appreciate your interest in the above-mentioned position, however, only shortlisted candidates will be contacted.

time left to apply End Date: August 31, 2025 (20 days left to apply)

job requisition id JR-2501623

About GlobalFoundries

GlobalFoundries (GF) is one of the world’s leading semiconductor foundries and the only one with a truly global footprint spanning three continents. We manufacture complex, feature-rich integrated circuits that enable billions of electronic devices. At GF, we make things that matter — from the solutions that enable the way we live today, to the technologies that drive what’s possible for tomorrow. Join us in changing the industry that is changing the world. For more information, visit .

Why GF

Be a part of our global team that is at the forefront of providing cutting-edge global technology solutions. We are seeking candidates with a strong passion for new technologies and advanced manufacturing, as we continue our Industry 4.0 Digitalization journey using technologies such as Artificial Intelligence and Machine Learning, robotics, big data analytics and more.

Your work will have a direct impact on our expanding Fab Operations, in building out our platforms of purpose-built technologies such as smart mobile devices, personal computing, home and industrial IoT, automotive and more. You will have access to the latest technological developments at GF Labs, with opportunities for patent submissions, presenting your ideas on a global platform, and enjoy GF-wide collaboration across our fabs and offices around the world.

Introduction

As a Data Scientist, you will be reporting to Lead Data Scientist and support in a pivotal role within the Data Science team and assist in the provision analytics technical requirements. You will support your manager to initiate the best-practices in analytics use case development/deployment/scaling/maintaining the data science projects.

You will assist the Lead Data Scientist in fostering partnership with Artificial Intelligence (AI) vendors/start-ups, support in developing and deploying machine learning or other statistical models to address the most complex and operational challenges. You will support in building scalable data products that will drive value and collaborate with all stakeholders across GlobalFoundries.

Your Job:

• Work closely with Lead Data Scientists and business customers to translate their needs into predictive and prescriptive analytics solutions.
• Collaborate closely with GFIT, Manufacturing Data Domain group to support Lead Data Scientist in building the required data pipelines for productionalized and scalable predictive and prescriptive analytics solutions.
• Support Lead Data Scientist to conduct exploratory data analysis and create compelling visualization using complex and high-dimensional datasets.
• Help Lead Data Scientist to identify suitable machine learning or statistical approaches on type of problem and train models for optimal performance, including hyperparameter tuning.
• Contribute to deploy models into production with assistance from Product Engineers.
• Help Lead Data Scientist to validate and monitor models to ensure consistent performance and avoid performance degradation.
• Support Lead Data Scientist during technical and analytics capability building within the analytics teams to stay current on best practices and new model techniques.
• Communicate value of analytics to Fab leadership and business partners and increase the awareness of analytics Fabs.
• Facilitate generating and maximizing value from analytics solutions.

Required Qualifications:

• Bachelor’s degree in quantitative fields such as Statistics, Mathematics, Computer Science, Operation Research, Engineering, Physics, Chemistry, Biostatistics, Economics, Data Science, or a related Engineering degree.
• A minimum of 4 Years of experience in analytics space with proven track record of innovation as a forerunner.
• Experience with the following types of data science techniques: Forecasting, Recommendation Systems, Logistics Optimization, Churn Analysis, Segmentation Analysis, Deep Learning
• Experience in creating business models in environments such as R, Python, SAS, SPSS, or STATA (Data visualization experience is a big plus)
• Experience in optimization and cloud environments to lead an inter-disciplinary team through scaling and productionisation of recommendation engines.
• Experience in implementing business-focused advanced analysis that can capture industry-specific nuances.
• Strong communication skills to interact with both technical and non-technical audience.
• Proven leadership skills to coach and guide team members to ensure on-time excellence.
• Product mindset with significant experience working in Agile teams.
• Ability to build a sense of trust and rapport within the team and senior leadership.
• Flexibility and ability to work with ambiguous problems and unstructured data.

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.

As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.

All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.

time left to apply End Date: August 31, 2025 (20 days left to apply)

At GlobalFoundries you will find a vibrant work environment where collaboration and innovation thrive. Our diverse and global team shares a culture of respect and inclusivity, representing the best in the industry. We celebrate success together and are united by our dedication to excellence and our desire to improve and empower the world.

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 verbal and written communication skills.

Required Qualifications

• Proficiency inmachine learningand advancedanalytical methods
• Strong programming skills inPythonand/orR
• Experience with deep learning frameworks such asTensorFlow,PyTorch, or similar

Preferred Experience or Willingness to Learn

• Distributed computing frameworks:PySpark,SparkR, orSparklyR
• Big data technologies:Hadoop,Hive,Spark,HBase
• Working knowledge ofTeradataor otherSQL-based databases
• Exposure toETL toolslikeSSIS, containerization withDocker, and cloud platforms such asGoogle Cloud Platform (GCP)

Nice-to-Have Skills

• Experience handlingtime-series data,image data,semi-supervised learning, ornon-stationary data distributions
• Familiarity withManufacturing Execution Systems (MES)
• Contributions to top-tier conferences such asCVPR,NeurIPS,ICML, orKDD(Note: This is not a research-focused role)

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron and Crucial brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations,please contact

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

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.