1,381 Data Scientists jobs in Singapore
Data Scientists/ Data Analysts / Data Engineers
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Overview
Digital information has grown exponentially, and the rise in the Internet of Things (IoT) technology is likely to accelerate this. There is rising demand for Data Scientists, Data Analysts, Data Artists and Data Visualisers who collect, filter, analyse and make sense of a business’s data, turning vast amounts of data into actionable insights that support business decisions. For students considering a career in data science, there’s never been a more exciting time to explore this opportunity.
Job Demand for Data Scientists in Malaysia
Malaysia’s big data analytics market is expected to reach a value of USD1.9 billion by 2025. That’s just one part of the global market with multibillion dollar potential. IDC expects the global big data and business analytics solutions market to be generating USD274.3 billion revenue by 2022.
The Data and Digital Technologies in the country’s Digital Economy Blueprint are major drivers to propel Malaysia’s plans for expansion for the digital driven economy. Data Science expertise will be a high-demand skill in this landscape, and one which is already experiencing remarkable growth in both demand for talent and potential salaries.
Between 3.3 million and 6 million jobs are expected to be created in Malaysia thanks to Industry 4.0. Data science and analysis will continue to a major career growth opportunity in this landscape, as new and expanding data-driven roles power our connected jobs future.
Job Demand According to Multimedia Development Corporation
Malaysia’s national ICT agency Multimedia Development Corporation (MDeC) has unveiled a plan, supported by seven public and private institutes of higher learning (IHLs), to increase the number of local data scientists from the current 80 to 2000.
Statistics show that there will be about two million job openings for data professionals and that the demand for people with this knowledge and skill will outstrip supply by a ratio of two to one. It’s a global phenomena which is already in motion and Malaysia has set its sights on developing 20,000 data professionals and 2,000 data scientists.
There is a tremendous requirement for Data Scientists and Big Data Specialists worldwide now and in the future, with hundreds of thousands of new job opportunities emerging globally. Job demand as well as salary for qualified Data Scientists or Big Data Professionals in Malaysia is high.
Furthermore, according to the 2019 Emerging Jobs in Malaysia Report by LinkedIn, the world’s largest professional network, Data Scientists is listed as one of the Top 5. The findings underscore the demand for jobs which require hybrid skills, primarily to help organisations in Malaysia navigate their digital transformation journey. LinkedIn analysed millions of unique, user-input job titles from the last five years, and found that while the top five emerging jobs are all related to technology, many of them require management and communications skills. Their actual roles are varied and diverse, reflecting a labour market that values talent with a hybrid set of complementary skills.
Job Demand for Data Science and Data Analytics in South East Asia
According to a report by the Asia Pacific Economic Cooperation, leaders in both the private sector and public sector feel that data science and analytics will change the face of business and government, but skills shortages continue to delay its adoption and utilization.
The report found that data science and analytics skills are in high demand, but supply is critically low with employers facing severe shortages.
Its projections suggest that between now and 2022, Malaysia, Singapore, and the Philippines will need 20,000, 15,000, and 340,880 data scientists respectively – and the lack of talent will make a severe dent in the way businesses leverage data to transform their digital DNA.
What are the most in demand job Skills in Malaysia?
A report from the Digital Workforce of The Future by LinkedIn revealed that a combination of skills encompassing Big Data, data analytics and web development registered a 21% growth in demand. In Malaysia, the top five in-demand digital skills are:
Big data
Software and user testing
Mobile development
Cloud computing
Software engineering management
What is the Salary for Data Scientists in Malaysia?
Asean Data Analytics Exchange (ADAX) CEO Sharala Axryd believes data professionals such as data engineers, data analysts and data scientists are the “sexiest jobs” of the 21st century. She said that data science fresh graduates can demand starting pay in the range of RM4,000–RM8,000 — making it the highest paid entry level job in the country today. In addition, a experienced professional in the field can demand up to RM15,000 a month.
Many employers are building their teams from ‘scratch’, accepting candidates with entry-level industry experience. The large salary range reported by employers for a data scientist from more than RM 15,000 per month to less than RM 5,000 per month may reflect a lack of precision in defining the role of a data scientist. While compensation will differ by candidate experience and performance, it is important that this role is not undervalued. Data science competencies such as statistical modelling and machine learning require a high education investment which should be recognised.
What are the Requirements for Data Scientists and Data Analysts in Malaysia?
Requirements for data science and analytics jobs are often multidisciplinary and they all require an ability to link analytics to creating value for the organization. The analytics and technology skills vary widely, but candidates must also demonstrate skills related to problem-solving in the workplace, including soft skills such as communication, creativity and teamwork. This holistic skill set is rare, so you should expect to compete fiercely for T-shaped individuals, as they are now often called, meaning those with a principle competency, plus well-honed broad skills to help them cross functions or domains.
Grab Example of How Data Science is Important
Grab’s Wenceslao David joined the company as a data engineer in May 2015, after working as a database administrator for a couple of years. Wenceslao quickly moved up the ranks to become a data scientist in October 2016, and in May last year became a Data Science Lead in the company in Singapore. Along with a team of nearly 50 other data scientists from about 10 countries, Wenceslao is helping Grab develop machine learning algorithms and intelligent systems that can predict traffic, understand customer’s and driver’s preferences, and even contribute to Government initiatives aimed at managing and reducing traffic during peak hours. There’s no denying the fact that data scientists can truly catapult companies into the future. However, there’s not enough talent in the world to support every ambitious company in the market.
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Research Scientist (Computer Science/Artificial Intelligence/Data Science)
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Research Scientist (Computer Science/Artificial Intelligence/Data Science)
Join to apply for the
Research Scientist (Computer Science/Artificial Intelligence/Data Science)
role at
Nanyang Technological University Singapore
Research Scientist (Computer Science/Artificial Intelligence/Data Science)
Join to apply for the
Research Scientist (Computer Science/Artificial Intelligence/Data Science)
role at
Nanyang Technological University Singapore
Jinan-NTU Green Technology Research Institute (GreenTRI) was established to focus on international collaborations in digital technologies and GreenTech.
GreenTRI is looking for a motivated Research Scientist to conduct research and develop AI models leveraging deep learning and data analysis for carbon measurement, route optimization, and sustainable logistics, enabling improved carbon management and forecasting of logistics efficiency.
Key Responsibilities
Conduct research on deep learning applications for carbon measurement, route optimization, and logistics sustainability.
Develop AI models for large-scale data analysis to enhance carbon management.
Apply time-series and spatial-temporal data mining to forecast logistics efficiency and carbon emissions, supporting sustainable practices.
Job Requirements
Ph.D. degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Proficient in data analysis and data mining, capable of extracting and interpreting complex data sets to improve efficiency.
Demonstrated strong capacity to work collaboratively within multi-disciplinary teams on projects that emphasize sustainability.
Publications in recognized conferences or journals in relevant fields.
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
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Seniority level Entry level
Employment type
Employment type Full-time
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Data Science
Posted today
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Job Description
Location
Singapore, Singapore
Job type
Part-Time
Work mode
Hybrid
Job level
Internship & working student
Job ID
10724
Company
Munich Re
Employment type
Temporary
Area of expertise
Data, BI & Analytics
This is an exciting opportunity to be part of Munich Re's Regional AI/Analytics Team (RAC) in Singapore for a 6-month full-time internship starting in October 2025. This role is designed for aspiring talents interested in the intersection of data science and next-generation AI technologies. You will be part of a dynamic, cross-functional team supporting Munich Re's Life and Health business across Asia-Pacific, the Middle East, and Africa. The internship offers hands-on exposure to cutting-edge AI tools—including large language models (LLMs)—and their real-world applications in insurance.
Your Role
Collaborate with the regional analytics team to design, test, and evaluate Gen-AI solutions that support business functions such as underwriting, claims, and operations.
Explore and implement prompt engineering strategies for LLMs to address insurance-specific use cases.
Support the enhancement of OCR and Document AI capabilities, including layout parsing, visual document analysis, and structured data extraction.
Contribute to building datasets, experimenting with RAG pipelines, agentic AI frameworks, and refining prompts to improve model performance.
Write clean, modular Python code to develop data pipelines, model prototypes, or Gen-AI system integrations.
Assist in evaluating model performance and iteratively improve system robustness and reliability.
Work alongside actuaries, data scientists, and domain experts across the APAC, Middle East, and Africa regions.
Support documentation, technical presentations, and high-quality demos for internal and external stakeholders.
Your Profile
Pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence, or a related technical field.
Familiar with generative AI tools (e.g., ChatGPT, Gemini, or open-source LLMs) and the basics of prompt engineering.
Strong interest or foundational knowledge in OCR, LLMs, and agentic AI frameworks.
Proficient in Python; familiarity with SQL and/or JavaScript is a plus.
Experience using or building demos with Streamlit, Gradio, or modern web frameworks like React or Vue.
Curious, self-motivated, and eager to learn in a rapidly evolving AI landscape.
At Munich Re, we embrace, and value, the interaction of diverse backgrounds, experiences, perspectives and thought. This interaction is our foundation. Of our open culture and spirit of partnership. Of how our teams are built and cultivated. Of how we are supported and developed. And at the centre of this interaction is each of us
Data Science
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Job Description
MHA - Internal Security Department (ISD)
Permanent
What the role is
ISD confronts and addresses threats to Singapore's internal security and stability. For over 75 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists. A fulfilling and rewarding career awaits those who want to join in ISD's critical mission of keeping Singapore safe, secure and sovereign for all Singaporeans.
ISD utilises state-of-the-art technology and technical know-how to safeguard Singapore's internal security, stability, and sovereignty. We are seeking highly motivated AI researcher to conduct deep applied AI research to contribute to the collective understanding AI, specializing in in areas such as generative AI/large language models, and machine learning and reasoning.
What you will be working on
• Leading in designing the research and experiment methodology in artificial intelligence, including in generative AI/large language models, and machine learning and reasoning.
• Conduct independent research to identify innovative AI technologies for niche intelligence use cases.
• Developing prototypes and proof-of-concept applications to demonstrate the potential of AI research findings
• Engaging with academia, research institutes, and industry partners on joint research projects
• Staying abreast of the latest AI research and trends to inform project direction and methodologies
• Collaborate with interdisciplinary teams to integrate AI technologies into products and services
• Contribute to the development of AI research strategies and roadmaps
• Communicating complex AI research concepts to stakeholders, including non-technical audiences
What we are looking for
• PhD or equivalent in Mathematics, Computer Science, Statistics, Engineering, Artificial Intelligence, or any quantitative disciplines, or equivalent competencies
• At least 3 years of experience in research and development, preferably in any of the following areas
o Natural language processing, specifically in large language model (LLM) core component e.g. joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, vulnerabilities in LLM
o Autonomous systems and agentic AI
o High-dimensional or spatial statistics
o Pure or applied mathematics, including (but not limited to) number theory, discrete mathematics and combinatorics, cryptography, probability, geometry and topology, algebraic geometry, and representation theory
o Integration of diverse non-textual data into AI models e.g. relational databases, tabular data
• Proficient in Python and familiar with machine learning frameworks like TensorFlow, PyTorch and Hugging Face
• Hands-on experience in developing and optimizing LLM architectures such as GPT, BERT, T5 and ing them to real-world tasks
• Curious, self-motivated, resourceful, meticulous and enjoys challenges
• Excellent understanding of mathematical, statistical and analytical concepts, computer science and artificial intelligence
• Demonstrate an analytical mindset with adept problem-solving skills, solid understanding of transformer models, attention mechanisms and ability to innovate in AI Research
• Keep abreast of the latest advancements in programming-related techniques and methodologies
• Exhibit a strong drive to deliver optimal solutions within tight timelines
• Strong communication skills to collaborate across teams and present complex ideas clearly
• Comprehensive documentation of technical specifications, architectural designs and best practices
• Only Singaporeans need
About MHA - Internal Security Department (ISD)
The Internal Security Department (ISD) confronts and addresses threats to Singapore's internal security and stability. For over 75 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists.
At the heart of our work are the collection of intelligence that enables us to size up the threats to Singapore's internal security, and taking the executive actions necessary to overcome those threats. Every day, we collect and analyse intelligence, make impartial assessments, and take decisive action to counter the threats to Singapore's internal security and stability, and sovereignty.
About your application process
If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within MHA - Internal Security Department (ISD) or the wider Public Service.
Data Science
Posted today
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Job Description
MHA - Internal Security Department (ISD)
Permanent
What you will be working on
- Develop proposals and budgets, plans cost estimates, budgets justifications and statements of works for Data Science and AI research programs
- Develop and maintain a system for tracking deadlines for research deliverables and help to keep researchers accountable
- Negotiate with external organisations to establish and maintain relationships
- Develop project/program infrastructure standard operating procedures, workflow and re-engineering processes
- Provide leadership to project / program including initiating, conducting, reporting, providing technical support and project management
- Plan, design, implement, oversee and advise on data science and AI research projects
- Maintain appropriate documents and reports
- Collaborate and consult with researchers by reviewing, evaluating and making recommendations for project / program initiatives
- Contribute to strategic planning of the project/program
- Advise investigators and administrators on appropriate methodologies and resources critical to the projects/programs
- Supervise project/program staff including identifying, hiring, training, supervising and evaluating staff
What we are looking for
- Curious, self-motivated, resourceful, meticulous and enjoys challenges
- Excellent communication skills, report writing and knowledge management
- Excellent understanding of mathematical, statistical and analytical concepts, computer science and artificial intelligence
- Ability to keep the overarching objectives of the project/program in mind while pursuing the technical details
- Passionate about research management and problem solving
- (Preferred) Some hands-on experience in data science, AI and quantitative research
- Only Singaporeans need
We wish to inform that only shortlisted candidates will be notified.
About MHA - Internal Security Department (ISD)
The Internal Security Department (ISD) confronts and addresses threats to Singapore's internal security and stability. For over 75 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists.
At the heart of our work are the collection of intelligence that enables us to size up the threats to Singapore's internal security, and taking the executive actions necessary to overcome those threats. Every day, we collect and analyse intelligence, make impartial assessments, and take decisive action to counter the threats to Singapore's internal security and stability, and sovereignty.
About your application process
If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within MHA - Internal Security Department (ISD) or the wider Public Service.
Data Science
Posted today
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Job Description
Reporting to the Head, AI Office, you will provide administrative support in the planning and budgeting for projects to the CGH Artificial Intelligence and Digital (AID) Committee, CGH Chief Data and Digital Officer (CDDO) for Artificial Intelligence and Digital projects.
Responsibilities:
- Provide administrative support in the planning and project management for AID Deployment with PI/PL, CGH stakeholders and Synapxe
- Support in secretariat role to manage AID Comm schedules, draft minutes of meetings and follow up on actionables
- Support regular progress updates for AID and RIE Comm on Deployment Projects such as issues escalation, risk reporting and co-ordinate effective resolution
- Manage AI Office portal and ensure periodic updates to AI and Digitalisation projects repository
- Organise and contribute to CGH Enterprise AI Awareness roadshows, and AI webinars
Requirements:
- Diploma holder in any discipline with interest in AI and Automation technologies
- Preferably with 1 to 3 years in IT Project Management, Informatics in the healthcare or services industry
- Those with working knowledge of Generative AI tools, AI/ML Lifecycle projects, and/or, advanced analytics deployment for Machine Learning / AI / Deep Learning, would be advantageous
- Good communications and people skills
- Good writing skills for policy and grant documentations
- Good presentation skills with awareness of Generative AI applications
- Good problem-solving skills
- A team player and able to work with multidisciplinary project teams
Only shortlisted candidates will be notified.
Data Science
Posted today
Job Viewed
Job Description
Type:
Internship (with fast-track to full-time if you crush it)
At FlocCare, we’re building a GenAI platform that makes health information accessible and personal —for a billion lives. To power that, we need structured, contextual, vectorized data. This role isfor someone who loves data, thinks in embeddings, and knows how to ship fast with modern tools.
What You’ll Do
Source, structure, and format messy data
from web, APIs, PDFs, or raw text.
Vectorize text
using transformer models (e.g. BERT, Sentence Transformers).
Work with
embedding stores
and retrieval tools like Pinecone or FAISS.
Test, evaluate, and fine-tune
existing models (LLMs, classifiers, RAG pipelines).
Set up quick workflows using
no-code/low-code AI builders
like
Flowise, Appify,LangChaintemplates,
etc.
Write clean, reusable scripts for data cleaning, chunking, tagging, and ingestion.
Create solid
documentation
of workflows, datasets, and model outputs.
Are a
CS, Data Science, or AI/ML
student or recent grad with real projects under yourbelt.
Have experience with
Python, Pandas, NumPy, Hugging Face, and scikit-learn .
Understand
NLP basics , embeddings, and data pipelines.
Are
comfortable figuring things out on your own
and pushing to production fast.
Are
curious about new tools
(Appify, Flowise, LangChain, RAG frameworks) and learn fast.
Have ranked or won in
hackathons, ML challenges, Kaggle, or buildathons .
Have worked with
retrieval-augmented generation (RAG)
or LLMOps stacks.
Know how to deploy a quick demo or MVP without overengineering.
Can build scrappy first versions fast — and iterate from user feedback.
Work on
high-impact GenAI systems
in real healthcare environments.
Collaborate across borders: SG, UAE, US, and India.
Build portfolio-worthy projects that go
beyond notebooks .
Internship → full-time fast-track
based on execution and ownership.
Send us your resume, GitHub/portfolio, and a short note on what you’ve built or shipped recently
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Manager - Data Science
Posted 2 days ago
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Job Description
**You Lead the Way. We've Got Your Back.**
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you'll be recognized for your contributions, leadership, and impact-every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
**Functional Description**
Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers' digital experiences.
This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.
Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.
**Responsibilities:**
+ Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
+ Planning and delivering of high performing models, meeting agreed deadlines and ensuring accurate, efficient implementation of models in production systems
+ Learning industry developments and best practices, conducting research and development to incorporate best in class modelling methodologies and share with the team
+ Performing annual reviews, performance monitoring reviews, retrains and remediation activity on models as required
+ Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer's online and mobile app experiences.
+ Work with product owners to revolutionize the product and content design with a data-driven approach
+ Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
+ Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
+ Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
+ Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
+ Lead, engage, and inspire a large team of high performing risk management professionals
**Qualifications:**
+ PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques. PhD degree with practical experiences NLP is a significant plus.
+ Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
+ Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
+ Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights.
+ Ability to work effectively in a team environment
+ Independent thinker who's organized, has great attention to detail, and can multi-task
+ Strong communication skills
+ Strong people leader and team player with a demonstrated ability to develop team members and create highly effective and results-driven culture
+ Strong relationship management and proven track record of positively collaborating and partnering with stakeholders
+ Ability to learn quickly and work independently with sophisticated, unstructured initiatives
+ Ability to integrate with cross-functional business partners worldwide
+ Proficient in presentation tools, including Excel and PowerPoint
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Risk
**Primary Location:** Singapore-Singapore-Singapore
**Schedule** Full-time
**Req ID:**
Manager - Data Science
Posted 2 days ago
Job Viewed
Job Description
**You Lead the Way. We've Got Your Back.**
With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you'll be recognized for your contributions, leadership, and impact-every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are on the lookout for a Manager in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP) and Generative AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.
**Role Overview:**
As a Manager, NLP and Generative AI, you will play a crucial role in the development and implementation of cutting-edge NLP solutions that address significant business challenges. Working closely with cross-functional teams, you will leverage your expertise in NLP to enhance our product offerings and streamline operational processes. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.
**Key Responsibilities:**
+ Lead the design and development of NLP and Generative AI projects, ensuring alignment with business objectives and scalability across the organization.
+ Conduct applied research in NLP to identify and deploy advanced techniques that enhance our data science capabilities, focusing on delivering practical business solutions.
+ Foster a culture of innovation by staying abreast of the latest trends in AI and NLP, and actively sharing knowledge and insights to contribute to the collective growth and technical proficiency of the team.
+ Manage project timelines, resources, and deliverables using agile methodologies, ensuring efficient progress from conception to deployment.
+ Collaborate with the Technology team to integrate NLP solutions into our existing systems and platforms, enhancing functionality and user engagement.
**Qualifications:**
+ Ph.D. degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
+ Extensive experience in machine learning, NLP, and Generative AI, with a demonstrated ability to manage projects from inception to completion.
+ Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects that have delivered tangible business outcomes.
+ Solid understanding of Large Language Models and practical experience with Generative AI
+ Solid understanding of agile project management principles, with experience leading teams and managing projects in a fast-paced environment.
+ Excellent communication and leadership skills, with the ability to collaborate effectively with both technical and non-technical teams.
+ Strong problem-solving abilities, with a creative and analytical approach to tackling challenges and driving results.
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Risk
**Primary Location:** Singapore-Singapore-Singapore
**Schedule** Full-time
**Req ID:**
Data Science Consultant
Posted 2 days ago
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Job Description
In the rapidly moving Artificial Intelligence era, few spaces are moving faster than the AI-enabled PC. As a leading provider of world-class technology, this means bringing more intelligence into the PC ecosystem, enabling superior performance, enhanced productivity, and delightful experiences while maintaining privacy and security. We're developing innovative approaches to introducing intelligence across our client PC portfolio by leveraging current methodologies, models, and tools to develop a robust end-user ecosystem. What's more, we are collaborating with leading AI technology companies, academics, industry experts, and skilled engineers to deliver cutting-edge solutions that redefine the user experience.
Join us to do the best work of your career and make a profound social impact as a **Data Scientist** on our **Client Solutions Group (CSG) Chief Technology Officer (CTO) Advanced Architectures** Team in the **Singapore Design Center** .
**What you'll achieve**
As a **Data Scientist** , on the **CSG CTO Advanced Architectures** team, you'll gain applied data science experience, leveraging established university and industry contacts, working on a team of data scientists and engineers on Artificial Intelligence and Machine Learning solutions across the client devices portfolio. In this role, you will be responsible for realizing CTO AI initiatives, and working with a team of data scientists, and ML, data, and embedded SW engineers to research, develop, and deploy AI-enabled solutions for millions of end users.
**You Will:**
+ Collaborate with engineering and operations teams to integrate and deploy AI applications on client devices with backend cloud integration
+ Work across a diverse set of telemetry collection and deployment environments inclusive of client endpoint OSes, real-time operating systems, and embedded firmware ecosystems
+ Develop AI/ML software solutions tailored for client silicon using strong knowledge of client device ecosystem nuances and complexities
+ Conduct experiments to train, tune, and optimize Machine Learning / Deep Learning models for delivery onto client devices
+ Translate business questions into compelling use cases and provide insights using data and statistical methods as well as tell stories using data; Advocate and execute strategies to adopt data and data science in all business and technical conclusions
**Requirements**
+ Master's degree or higher in AI/ML, Computer Science, Statistics, Mathematics, or other Engineering & Scientific fields with a significant quantitative component; Bachelors + 8 years, MS + 5 years, Ph.D. + 2 years minimum
+ Solid experience developing for Microsoft (MS) Windows OSto include client Software Development Kits (SDKs), MS DirectML, WinML, MS Graph and experience with embedded device development in at least one RTOS
+ Progressive knowledge of AI / ML algorithms, particularly in the Generative AI domain, as well as in AI/ML optimization techniques for delivering models and algorithms into resource-constrained environments with advanced experience with Deep Learning libraries and runtimes such as PyTorch, Tensor Flow, TensorRT, and nuances of their application in end-user ecosystems
+ Solid communicator with the ability to explain difficult analytical methods to technical and business stakeholders
+ Experience working in software development or other cross-functional teams, with strong mentorship, and coaching skills
**Desirable skills**
+ Experience working with cloud-based applications in Azure as well as leading small teams
+ Familiarity with Open Neural Network Exchange (ONNX) models and the ONNX run time (ORT) as well as experience with at least one major hardware vendor toolchain such as Intel OpenVino, Qualcomm QNN, NVIDIA CUDA, or AMD Ryzen AI Software
**Who we are**
We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
**Application closing date: 30-November-2025**
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here ( .
**Job ID:** R