280 AI Researchers jobs in Singapore
Data Science
Singapore, Singapore
QUINNOX SOLUTIONS PTE. LTD.
Posted today
Job Viewed
Job Description
Roles & Responsibilities
Machine Learning
Technical Documentation
Confluence
Aviation
Air Traffic Management
Pipelines
Architect
Mathematics
Transparency
Data Engineering
JIRA
Python
PMP
Statistics
Data Science
Stakeholder Management
Responsibilities
· Lead the planning, execution, and delivery of data and cloud engineering projects for the next-generation Air Traffic Management (ATM) platform.
· Collaborate closely with engineering, data, and domain teams to define scope, milestones, and delivery plans aligned with business objectives.
· Drive Agile/Scrum practices, manage backlogs, conduct sprint ceremonies, and ensure transparency of progress and risks.
· Coordinate dependencies across batch and streaming pipelines, cloud infrastructure (AWS), and data platforms (e.g., Databricks).
o Track and manage risks, issues, and changes proactively, ensuring timely mitigation and stakeholder communication.
o Ensure project deliverables meet high standards of quality, security, and compliance, especially in regulated or safety-critical environments.
o Manage vendor engagement, technical documentation, and project reporting for internal and external stakeholders.
o Champion continuous improvement by identifying delivery bottlenecks and facilitating retrospectives and action plans.
Qualifications
• Proven experience managing technical projects involving cloud-native architectures and data engineering platforms.
• Strong understanding of AWS services and data platforms such as Databricks, with the ability to engage confidently with engineering teams.
• Experience leading Agile/Scrum teams, with proficiency in project tracking tools (e.g., Jira, Confluence).
• Ability to manage complex timelines, dependencies, and deliverables across multiple technical workstreams.
• Excellent communication, stakeholder management, and cross-functional coordination skills.
• Strong analytical and problem-solving capabilities, with a structured approach to risk and issue management.
• Bachelor's degree in computer science, Engineering, Information Systems, or a related field.
Preferred Qualifications
• Experience managing projects involving AWS, Databricks, Delta Lake, and modern data architectures (e.g., Lakehouse).
• Exposure to AI/Gen AI initiatives, intelligent agent workflows, or advanced analytics use cases.
• Familiarity with aviation data standards (e.g., ADS-B, ARINC 424, flight schedules) or a demonstrated ability to quickly learn domain-specific concepts.
• Relevant certifications such as PMP, PMI-ACP, AWS Certified Cloud Practitioner, or AWS Solutions Architect – Associate.
• Background in delivering high-performance, real-time, or large-scale data systems in regulated or safety-critical environments.
To Apply:
Please send your latest CV in word file to
Kindly indicate your availability, current and expected remuneration package.
We regret that only shortlisted candidates will be notified.
For more job opportunities, please visit our career page: Solutions Pte Ltd (License Number: 06C3126)
Registered EA Personnel (Reg. No.:R1551322)
Machine Learning
Technical Documentation
Confluence
Aviation
Air Traffic Management
Pipelines
Architect
Mathematics
Transparency
Data Engineering
JIRA
Python
PMP
Statistics
Data Science
Stakeholder Management
This advertiser has chosen not to accept applicants from your region.
0
Manager - Data Science
Singapore, Singapore
American Express
Posted 9 days ago
Job Viewed
Job Description
**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:** 25013825
**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:** 25013825
This advertiser has chosen not to accept applicants from your region.
1
Director - Data Science
Singapore, Singapore
American Express
Posted 11 days ago
Job Viewed
Job Description
**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.
**The Role**
The Credit and Fraud Risk Team of American Express is looking for a Director to lead and develop a diverse team of high-performing risk professionals to perform research and development, innovate and build predictive models that enable better decisioning for global consumer portfolios at American Express.
**Key responsibilities:**
+ Researching, innovating and developing next generation of machine learning models for credit decisions as well as next generation of machine learning algorithms.
+ Planning and delivering of high performing models, meeting agreed deadlines and ensuring accurate, efficient implementation of models in production systems
+ Ensuring all deliveries conform to AXP's Model Risk Governance Framework and regulatory requirements and producing robust, clear documentation
+ Learning industry developments and best practices, conducting research and development to incorporate best in class modelling methodologies and share with the team
**Q** **ualifications:**
+ 5-7 years' experience applying ML to solve complex problems for large-scale applications
+ 5-7 years of experience applying theoretical models in an applied environment, with successful experience building AI algorithms
+ 3-5 years' experience managing data scientists or proven experience building and managing a highly efficient cross-functional science talent pool
+ Reputation for building excitement and a culture of continuous learning leading technical teams
+ Master's degree in a quantitative field (data science, mathematics, computer science, statistics, operations research, management) preferred
+ Solid applied understanding of latest supervised and semi-supervised (self-learning) Machine Learning solutions. Ability to apply them in code and explain most used ones from a technical point of view, with complete clarity on advantages and disadvantages of each
+ Experience using ML across various applications such as images and text
+ Experience with PyTorch, TensorFlow and other similar open-source ML platforms
+ Understanding of technologies supporting development and implementation of ML solutions at Enterprise scale
+ Extensive knowledge of customer marketing ecosystem across the enterprise
+ Knowledge of Platforms -Big Data - Cornerstone
+ Set the Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
+ Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
+ Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage
**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:** 25014117
**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.
**The Role**
The Credit and Fraud Risk Team of American Express is looking for a Director to lead and develop a diverse team of high-performing risk professionals to perform research and development, innovate and build predictive models that enable better decisioning for global consumer portfolios at American Express.
**Key responsibilities:**
+ Researching, innovating and developing next generation of machine learning models for credit decisions as well as next generation of machine learning algorithms.
+ Planning and delivering of high performing models, meeting agreed deadlines and ensuring accurate, efficient implementation of models in production systems
+ Ensuring all deliveries conform to AXP's Model Risk Governance Framework and regulatory requirements and producing robust, clear documentation
+ Learning industry developments and best practices, conducting research and development to incorporate best in class modelling methodologies and share with the team
**Q** **ualifications:**
+ 5-7 years' experience applying ML to solve complex problems for large-scale applications
+ 5-7 years of experience applying theoretical models in an applied environment, with successful experience building AI algorithms
+ 3-5 years' experience managing data scientists or proven experience building and managing a highly efficient cross-functional science talent pool
+ Reputation for building excitement and a culture of continuous learning leading technical teams
+ Master's degree in a quantitative field (data science, mathematics, computer science, statistics, operations research, management) preferred
+ Solid applied understanding of latest supervised and semi-supervised (self-learning) Machine Learning solutions. Ability to apply them in code and explain most used ones from a technical point of view, with complete clarity on advantages and disadvantages of each
+ Experience using ML across various applications such as images and text
+ Experience with PyTorch, TensorFlow and other similar open-source ML platforms
+ Understanding of technologies supporting development and implementation of ML solutions at Enterprise scale
+ Extensive knowledge of customer marketing ecosystem across the enterprise
+ Knowledge of Platforms -Big Data - Cornerstone
+ Set the Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective
+ Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential
+ Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage
**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:** 25014117
This advertiser has chosen not to accept applicants from your region.
2
Manager - Data Science
Singapore, Singapore
American Express
Posted 13 days ago
Job Viewed
Job Description
**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.
**You will be part of an energetic A.I./Machine Learning cross-functional team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Web, Mobile, Marketing, Enterprise Automation, etc.) to drive a cohesive set of solutions enabling the ever-growing strategic capabilities in the AI field.**
This role resides within American Express Technology (AET) - Enterprise Services Decision Science Center of Excellence (CoE).
**Responsibilities:**
+ Combine A.I./Machine Learning and Technology knowledge to implement highly scalable solutions to solve real-world problems in areas such as Generative AI, Personalization, Image Recognition, Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions
+ Build solutions from identifying business problems, to collecting training dataset, to analyzing data, to modeling, to validating and to delivering production grade solutions at scale.
+ Research latest related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions.
+ Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale
+ Drive both high-level and detailed technical designs and conduct design reviews as needed
+ Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration
+ Provide technical mentorship to team members at junior levels
+ Actively participate in business and technical discussions and forums across Amex
**Qualifications:**
+ Master's Degree in Computer Science, Computer Engineering, Information Systems, or related STEM fields. PhD degree preferred
+ Proven track record on producing outstanding research results (Journal and/or Conference publications, and patterns) is a must.
+ 2 years full lifecycle product development and engineering leadership in highly available, highly scalable, high throughput systems
+ 2 years of experience in building and delivering sophisticated solutions that leverage various AI solutions, machine learning algorithms or technologies and are able to scale optimally.
+ Expert in at least one of the following fields:
o Generative AI
o Machine Learning
o Deep Learning
o Reinforcement Learning
o Natural Language Processing
o Optimization
o Probabilistic Inference
o Information Retrieval
o Recommendation Systems
o Bayesian Inference
o Advanced time series forecasting
+ Hands-on Experience with most of the following open-source solutions:
o Orchestrate: Airflow, Kubeflow Pipelines, ML Run
o Container: Docker, Kubernetes, Mesos Marathon
o Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow
o Observability: Prometheus, Grafana, Elasticsearch
o Development:
- Programming Language: Python, Java, Scala, Julia
- IDE: Notebooks, PyCharm, VS Studio
- Machine Learning: TensorFlow, Keras, ScikitLearn, H20.ai, XGBoost, MXNet
- Feature Store: Hopsworks, Feast, or other purposed built Feature Store
- Model Format: ONNX, PMML
+ Ability to convey complex, technical subject matter in a clear and straightforward manner; demonstrated ability to effectively communicate through written and oral presentations with all levels of the organization
+ Solid project management skills with the ability to juggle multiple priorities simultaneously in a fast-paced environment
+ Hands-on Experience with GCP and/or AWS is a plus.
**Qualifications**
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
+ 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:** Data Mgmt and Analytics
**Primary Location:** Singapore-Singapore-Singapore
**Schedule** Full-time
**Req ID:** 25002325
**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.
**You will be part of an energetic A.I./Machine Learning cross-functional team, collaborating with various business/product partners (e.g. Credit, Fraud, Risk, Web, Mobile, Marketing, Enterprise Automation, etc.) to drive a cohesive set of solutions enabling the ever-growing strategic capabilities in the AI field.**
This role resides within American Express Technology (AET) - Enterprise Services Decision Science Center of Excellence (CoE).
**Responsibilities:**
+ Combine A.I./Machine Learning and Technology knowledge to implement highly scalable solutions to solve real-world problems in areas such as Generative AI, Personalization, Image Recognition, Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions
+ Build solutions from identifying business problems, to collecting training dataset, to analyzing data, to modeling, to validating and to delivering production grade solutions at scale.
+ Research latest related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions.
+ Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale
+ Drive both high-level and detailed technical designs and conduct design reviews as needed
+ Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration
+ Provide technical mentorship to team members at junior levels
+ Actively participate in business and technical discussions and forums across Amex
**Qualifications:**
+ Master's Degree in Computer Science, Computer Engineering, Information Systems, or related STEM fields. PhD degree preferred
+ Proven track record on producing outstanding research results (Journal and/or Conference publications, and patterns) is a must.
+ 2 years full lifecycle product development and engineering leadership in highly available, highly scalable, high throughput systems
+ 2 years of experience in building and delivering sophisticated solutions that leverage various AI solutions, machine learning algorithms or technologies and are able to scale optimally.
+ Expert in at least one of the following fields:
o Generative AI
o Machine Learning
o Deep Learning
o Reinforcement Learning
o Natural Language Processing
o Optimization
o Probabilistic Inference
o Information Retrieval
o Recommendation Systems
o Bayesian Inference
o Advanced time series forecasting
+ Hands-on Experience with most of the following open-source solutions:
o Orchestrate: Airflow, Kubeflow Pipelines, ML Run
o Container: Docker, Kubernetes, Mesos Marathon
o Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow
o Observability: Prometheus, Grafana, Elasticsearch
o Development:
- Programming Language: Python, Java, Scala, Julia
- IDE: Notebooks, PyCharm, VS Studio
- Machine Learning: TensorFlow, Keras, ScikitLearn, H20.ai, XGBoost, MXNet
- Feature Store: Hopsworks, Feast, or other purposed built Feature Store
- Model Format: ONNX, PMML
+ Ability to convey complex, technical subject matter in a clear and straightforward manner; demonstrated ability to effectively communicate through written and oral presentations with all levels of the organization
+ Solid project management skills with the ability to juggle multiple priorities simultaneously in a fast-paced environment
+ Hands-on Experience with GCP and/or AWS is a plus.
**Qualifications**
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:
+ 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:** Data Mgmt and Analytics
**Primary Location:** Singapore-Singapore-Singapore
**Schedule** Full-time
**Req ID:** 25002325
This advertiser has chosen not to accept applicants from your region.
3
Data Science Specialist
Singapore, Singapore
beBeeMachineLearning
Posted today
Job Viewed
Job Description
Job Title: Data Science Specialist
About the Role
Key Responsibilities
Requirements
Benefits
What We Offer
We are seeking a skilled data science specialist to join our team in Singapore.
About the Role
This is an opportunity to develop and optimize large-scale recommendation systems for various offerings, focusing on creating cutting-edge solutions for e-commerce.
Key Responsibilities
- Develop and implement unified recommendation models fulfilling heterogeneous e-commerce scenarios/goals across multiple countries.
- Optimize e-commerce recommendation models at massive scales using deep learning/transfer learning/multi-task learning techniques.
- Conduct research on topics aiming to optimize content recommendation circulation, including ensuring diversity and new discovery in recommendation contents.
- Design innovative and state-of-the-art e-commerce models and algorithms.
- Support the production of scalable and optimized AI/machine learning (ML) models.
- Work with large volumes of real-time, unstructured data to deploy AI/ML solutions from theoretical data science models.
- Run experiments to test the performance of deployed models and identify/resolve bugs that arise in the process.
Requirements
- Strong background in data structures and algorithms with excellent problem-solving ability and programming skills.
- Experience in applied machine learning, familiar with one or more algorithms such as Collaborative Filtering, Matrix Factorization, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks.
- Good understanding of mainstream recommendation models used in the industry, including recall, sort, reranking, and cold-start problem resolution.
- Experience in working with C++ and Python; at least one of the Big Data tools (e.g. Hive sql/Spark/Mapreduce); at least one of the Deep Learning tools (e.g. Tensorflow/Pytorch).
Benefits
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and so does our workplace. We strive to celebrate our diverse voices and create an environment that reflects the many communities we reach.
What We Offer
Competitive salary and benefits package, opportunities for career growth and professional development, collaborative and dynamic work environment, flexible work arrangements, and comprehensive employee support programs.
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4
Data Science Engineer
Singapore, Singapore
beBeeArtificialIntelligence
Posted today
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Job Description
Artificial Intelligence Specialist
SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.
Job Description:
The AI Specialist will be responsible for working on AI projects including generative AI, autonomous agent, NLP, computer vision and recommender system. The candidate should have intermediate programming skills in Python and familiarity with algorithm design/analysis, data structure and SQL.
Key Responsibilities:
- Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics.
- Propose and build scalable ML/DL solutions.
- Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
- Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science.
- Support business users in the assessment/validation of partner-supplied prediction models and in their deployment to production cloud.
- Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
- Member of an in-house AI and data science development team that works on AI projects.
Requirements:
- BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required.
- Intermediate programming skills in Python.
- Conversant with algorithm design/analysis, data structure and SQL.
- Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
- Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
- Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning.
- Use of recent proprietary/open-source LLMs through prompt engineering.
- Experience of using GPU-accelerated deep learning frameworks.
- Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.
- Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
- Good interpersonal and communication skills for working with both technical staff and non-technical business users.
- Experience with Agile/Scrum/Kanban methodologies is a plus.
Bonus Skills:
- Use of recent proprietary/open-source LLMs through prompt engineering.
- Experience of using GPU-accelerated deep learning frameworks.
- Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.
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5
Data Science Innovator
Singapore, Singapore
beBeeAnalytics
Posted today
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Job Description
The ideal candidate will excel as a data science innovator, converting business challenges into actionable data-driven solutions.
Key Responsibilities:- Design and implement performance monitoring analytics frameworks to drive agency success.
- Develop interactive coaching tools, performance benchmarks, and growth opportunities for agents.
- Analyze incentive program effectiveness and suggest strategic optimizations.
- Create real-time dashboards for monitoring agency performance metrics.
- 5+ years of industry experience in insurance analytics, with a focus on agent performance analysis.
- Strong understanding of agency compensation dynamics, training methodologies, and retention strategies.
- Proven stakeholder management skills, with the ability to lead discussions and translate business needs into technical requirements.
- Solid grasp of core data science concepts, including classification, regression, and clustering models.
- Experience designing self-service tools or dashboards for non-technical users.
This advertiser has chosen not to accept applicants from your region.
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6
Analyst, Data Science
Singapore, Singapore
AMERICAN EXPRESS INNOVATION LABORATORIES LIMITED (Singapore Branch)
Posted today
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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 standard methodologies when it comes to developing the analyses, models, and algorithms that power our customers' digital experiences. This critical team is responsible for handling 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:
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 standard methodologies when it comes to developing the analyses, models, and algorithms that power our customers' digital experiences. This critical team is responsible for handling 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:
- 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 redefine 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 useful information
- Maximize the power of closed loop through Amex network to make decisions more intelligent and relevant
- Work with extensive amounts of digital data (Web, App, API) , External data and sophisticated tools in an industry leading Big Data environment.
- Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
- Masters in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research and etc.) or Masters in Business Administration with hands-on experience using sophisticated analytical and machine learning techniques.
- 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
- Proven 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 multitask
- Strong communication skills
- Preferably 1-2 year of experience in AI/ML or Data Analytics
- 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
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7
Data Science Expert
Singapore, Singapore
beBeeArtificialIntelligence
Posted today
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Job Description
Job Title: Data Scientist
This position involves working as a key member of our analytics team to drive business growth through data-driven insights.
- Create and deploy predictive models using machine learning, deep learning, and statistical techniques to optimize industrial processes.
- Extract, clean, and manage structured and unstructured data from various sources for analysis and model development.
- Collaborate with cross-functional teams to align data solutions with business goals and support digital innovation.
- Stay current with emerging data science and AI trends to continuously enhance methodologies and tools.
Requirements:
- At least 2 years of hands-on experience in data science or analytics roles.
- Proficient in Python, R, and SQL, with strong skills in libraries like Pandas and NumPy.
- Familiar with machine learning frameworks (e.g., Scikit-learn, TensorFlow, Keras) and data visualization tools (e.g., Tableau, Power BI, D3.js).
- Solid grounding in statistics, probability, and mathematical modeling, with experience designing experiments and interpreting results.
What We Offer:
- Dynamic environment for career progression, mentorship, and skill advancement in AI, big data, and cloud technologies.
- Cutting-edge technologies including AI, machine learning, automation, and industrial IoT.
This advertiser has chosen not to accept applicants from your region.
8
Data Science Innovator
Singapore, Singapore
beBeeStrategist
Posted today
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Job Description
Live Strategy Position
TikTok's leading short-form mobile video platform seeks talented individuals to join its global strategy team.
Our mission is to inspire creativity and bring joy through model-driven and data-driven strategies that promote core indicators on LIVE revenue and user engagement.
This includes building prediction/uplift neural network models to improve LIVE feature intelligence, mining potential crowds for higher ROI operations, and analyzing user data to optimize user experience.
As a member of our team, you will contribute to user growth strategies and cold-start initiatives, shaping the future of TikTok with unparalleled opportunities for career development.
Candidates can apply for a maximum of two positions, which will be considered in the order of application.
- Develop strategic plans based on business data analysis, formulating targeted approaches and evaluating their impact.
- Build insights into various strategy scenarios, utilizing data skills to deepen understanding and enhance decision-making quality.
- Mathematics, statistics, or computer science background, with experience in internet business.
- Excellent thinking framework and scenario understanding ability, with expertise in using data analysis and other tools to solve complex business problems.
- Preferably experienced in casual inference, evaluation frameworks, and data mining.
- Familiarity with machine learning principles and recommendation algorithms is an advantage.
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9