55 Statistical Analysis jobs in Singapore

**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 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:** Data Mgmt and Analytics
**Primary Location:** Singapore-Singapore-Singapore
**Schedule** Full-time
**Req ID:** 25012589

**Data Science Consultant**
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-July-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:** R253465

**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.

Business Unit and Role Information

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 role will lead a team responsible for developing, implementing, and tracking AI/ML models for driving enterprise digital personalization in prospect marketing and automating data capability and model governance.

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.

The role will entail some of the below listed responsibilities:

• Leading the core customer marketing models development for the Consumer business
• Planning and delivering of high-performing models, meeting 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
• Performing annual reviews, performance monitoring reviews, retrains and remediation activity on models as required and planning for year-round governance activities – Exams, Audits, Annual Reviews etc.
• Handson experiences working with massive amounts of customer and external data and use sophisticated tools in an industry leading Big Data environment. Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Collaborate with tech partners to test, implement, and deploy modeling solutions to production system.
• Innovate with a focus on developing newer and better approaches using big data & machine learning solutions
• Close collaboration with business partners, to drive model advancements and to integrate models with business decisions to drive business impacts

Minimum qualifications and skills required across role types are highlighted below:

• Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research etc.) with hands-on experience leveraging 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
• Minimum 7 years of experience in modeling, people leadership experience 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
• 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

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:

• 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

Qualifications:

• 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

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:

• 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

Qualifications:

• 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

Compliance Language

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.

The candidate will be expected to perform in the following areas:

1) Developing AI-driven data products using advanced language models and Government Commercial Cloud to improve operational efficiency. For example, developing AI products to enable policy analysts to self-help in retrieving relevant data and past policy papers when designing programmes.

2) Identifying trends and insights using machine learning, advanced statistical techniques and multiple data domains such as clinical, lifestyle and genomics data to support policy and service divisions. For example, segmenting populations using multiple data domains to design targeted interventions.

3) Conducting policy simulations that integrate business rules and diverse scenarios to guide informed policy revisions.

Role and Responsibilities

1. Collaborate with stakeholders to understand needs for actionable insights.

2. Provide thought leadership to stakeholders in determining which analytics techniques and solutions will enable the enterprise to achieve defined business goals.

3. Execute both exploratory and data analysis to identify trends and data analysis to solve business problems.

4. Develop analytical models on large-scale healthcare related datasets to address various business and clinical problems through leveraging advanced statistical modelling, machine learning, deep learning, reinforcement learning and natural language processing techniques.

5. Make recommendations that aid in the realization of value and sustaining analytical activities, which seek to embed analytical tools within business processes.

6. Keep abreast of existing and emerging data science principles/theories/techniques.

7. Deliver projects in line with agreed standards, providing fit for purpose solutions within time, quality and budget constraints.

8. Develop AI/Analytics solution architectures complying with internal compliance.

9. Evaluate technologies/services, providing regular reporting on emerging trends, value add information and potential impact to the healthcare landscape.

10. Support ad-hoc engagements with business partners and stakeholders on analytics outreach activities.

Requirements / Qualifications

1. Hands-on experience in delivering AI solutions, data science or advanced analytics programme / projects, especially in designing and implementing data science or advanced analytics solutions on large datasets.

2. Good understanding of natural language processing, statistical modelling, machine learning, deep learning techniques and a track record of solving problems with these methods.

3. Master or bachelor degrees in Data Science, Computer Science, Statistics/Biostatistics/Bioinformatics, Mathematics, Operation Research, Physics or other quantitative disciplines.

4. Proficient in analytics tools such as Python or R

5. Possess good verbal and written communication, analytical and conflict resolution skills with proven ability to translate complex, technical subjects into clear and concise communications to a variety of key stakeholders of different levels (e.g. senior management)

6. Versatile in working independently as well as an effective team player.

7. The candidate will have extra advantage if he/she has experience in any of the following:

a) Prompt Engineering

b) Amazon Web Services / Microsoft Azure

c) Databricks

d) Finetuning of language models

e) Deployment of AI models

f) Big data techniques (e.g. Hadoop, Spark, Hive)

g) Public healthcare industry

Solutions Architect, Data Science page is loadedSolutions Architect, Data Science Apply locations Singapore, Singapore-Suntec Tower Thailand, Remote time type Full time posted on Posted Today job requisition id JR1998755

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for a Solutions Architect with experience in Data Science.

A Solution Architect is the first line of technical expertise between NVIDIA and our customers, as well as our partners. Your duties will vary from solutions design, industry and marketing speaking engagements, training delivery, troubleshooting, project coordination, customer relationship management and more. In this role you will primarily support Thailand, but will need to support the wider South East Asia region if required.

What you'll be doing:

• Identify new opportunities for NVIDIA technology and solutions, by effectively communicating and positioning the product portfolio and analysing customer requirements.

• Independently lead technical sales activities in collaboration with the extended team, with the goal of providing total solutions.

• Identify customer requirements and develop complete generative AI solutions designs using NVIDIA and our ecosystem partners' products.

• Work closely with ISVs, Solution Integrators and OEMs in solution development and delivery, including proof of concepts.

• Collaborate with sales and business development teams to support pre-sales activities, including technical presentations and demonstrations of LLM and RAG capabilities.

• Provide feedback to NVIDIA's product management teams, contributing to the evolution of generative AI technologies.

• Lead workshops and trainings on NVIDIA's technologies

• Develop cloud native, multi-agent designs leveraging LLM and RAGs for specific use cases.

• Help customers to optimise training and inference performance runtime, at scale.

What we need to see:

• A passion for customer success and innovative AI solutions. Someone motivated, able to work independently, proactively with minimal direction.

• Exceptional communication skills, good interpersonal skills, and enjoy collaborative work.

• 5+ years of hands-on experience in a technical role, specifically focusing on generative AI, with emphasis on training Large Language Models (LLMs).

• BSc or Master in Data Science, Computer Science or related subjects.

• Proven track record of deploying and optimizing LLM models in production environments.

• Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow and PyTorch.

• Superb communication and collaboration skills with the ability to explain complex technical concepts to both technical and non-technical audiences.

• Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences.

• Professional or Native language proficiency in English and Thai

• Ability to travel up to 30% of the time to support customer in Thailand and South East Asia.

Ways to stand out from the crowd:

• Hands-on experience with NVIDIA's NeMo SDKs and Triton Inference Server

• Demonstrable ability to optimize LLM models for inference speed, memory efficiency, and resource utilization.

• Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.

• Professional fluency in one of these languages: Mandarin

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About Us

NVIDIA is the world leader in accelerated computing.

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society.

#J-18808-Ljbffr

An exciting opportunity to join a leading global bank and lead a data science team dedicated to managing risks and controls across Data, Cloud, and AI, with a strong focus on responsible and ethical AI practices. This role offers the chance to modernise and automate control frameworks using AI/ML, while developing scalable, high-impact models that safeguard critical systems. What You'll Do

• Interpret and apply governance policies related to Data, Cloud, and AI risks.

• Identify and manage risks associated with Generative and Responsible AI.

• Modernise and automate control frameworks through AI/ML and advanced analytics.

• Develop, test, and maintain scalable, accurate AI/ML models and pipelines.

• Collaborate with engineers, developers, and SMEs to integrate solutions into enterprise systems.

• Deliver end-to-end AI/ML solutions aligned with SDLC standards.

• Communicate complex technical and risk concepts to senior stakeholders.

• Stay current with AI/ML advancements and promote continuous improvement.

What We're Looking For

• Master’s degree in Data Science, Computer Science, or related field.

• 10+ years in data and analytics, with strong ML/statistical modeling expertise.

• Experience designing, deploying, and scaling AI/ML model pipelines.

• Proficiency with cloud platforms (AWS, GCP, Azure) and MLOps tools.

• Skilled in managing complex, unstructured data and applying responsible AI practices.

• Familiar with SDLC, application security, and scalable system design.

• Strong communication and collaboration abilities.

What’s on Offer

• SGD 180K–220K base + bonus

• Hybrid working environment

• Opportunity to drive responsible AI adoption in a global financial institution

• 22 days annual leave + comprehensive medical insurance

Interested? Apply now and send your cv to Equal Opportunity Statement

TENTEN Partners is an equal opportunity firm and is committed to providing equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic as outlined by applicable laws.

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