Total 199 science job vacancies in Information Technology category in Singapore

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.

If you have a strong will to learn and educate, as well as are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to use Data Science, A.I./Machine Learning, and Technology skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide.

Join Team Amex and let's lead the way together.

If you have a strong will to learn and educate, as well as are motivated by the opportunity to help grow our team and be a part of an industry-leading technology and innovation organization, then look no further! This is an opportunity to use Data Science, A.I./Machine Learning, and Technology skills to solve very interesting problems that directly and greatly impact millions of individuals worldwide.

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.
• 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.
• 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:

• Generative AI
• Machine Learning
• Deep Learning
• Reinforcement Learning
• Natural Language Processing
• Optimization
• Probabilistic Inference
• Information Retrieval
• Recommendation Systems
• Bayesian Inference
• Advanced time series forecasting

Hands-on Experience with most of the following open-source solutions:

• Orchestrate: Airflow, Kubeflow Pipelines, ML Run
• Container: Docker, Kubernetes, Mesos + Marathon
• Model Serving: Kubeflow KF Serving, TF Serving, Seldon-Core, MLflow
• Observability: Prometheus, Grafana, Elasticsearch

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

Tyco Electronics Singapore Pte Ltd (TE Connectivity) is looking for an R&D Manager to join our Corporate R&D Center. The manager will lead the newly formed Artificial Intelligence team to create an AI Hub for TE in Singapore. Team members will collaborate with R&D peers, business unit partners as well as local university and government research centers to undertake projects that will embed AI in TE’s design and process development work flows to deliver a competitive advantage to TE’s technologies. This position is based at our Singapore HQ.

The Singapore Corporate R&D Center is chartered to work with the CTO’s and Advanced Development Groups of TE Business Units to identify technical areas of interest for R&D and develop forward looking technologies that will deliver broad value to the business. To improve the New Product Development process, TE is expanding our Artificial Intelligence capabilities as a part of our Digitalization strategy to improve efficiency, decrease cost, and decrease time to market.

Job Responsibilities:

• Lead the AI team that deliver high quality data science solutions and AI/ML infrastructure to support new product development (NPD) in TE
• Lead the team to adopt cutting-edge data science techniques (using in-house coding tools or commercial software) and develop machine learning algorithms to solve engineering problems (such as material formulation, manufacturing process, product design, etc.) based on experimental and simulation data sets.
• Collaborate with multi-discipline specialists in data science, electronics, material science, mechanics, additive manufacturing, and other fields.
• Work with local and global TE sites, and external customers/vendors, to address urgent or strategic needs.
• Partner with Singapore research institutes and universities to develop advanced AI techniques.
• Develop and execute the roadmap and strategy of AI
• Manage portfolio of projects to drive completion of tasks and ensure timely delivery of high-quality results that reduce cost, speed time to market and increase quality.
• Enhance the awareness across TE of the AI capabilities of the Singapore AI Hub and promote the democratization of AI in TE at the enterprise scale.

Job Requirements:

Required:

• Proven track record of team management and technical leadership
• Proven experience of solving engineering problems with AI, data science and machine learning
• Bachelor’s degree (or higher) in Engineering (or related discipline) with 10 years working experience in product development or R&D
• Strong multitasking, prioritization, and ability to delegate where appropriate and keep resources aligned with critical priorities.
• Strong verbal and written communication, and presentation skills with interpersonal skills to work with multiple level and multi-discipline stake holders.
• Project management expertise, PMP Certification Preferred

Preferred:

• Familiarity with product design, material development and Additive Manufacturing
• Knowledge of TE’s business, products, material, and manufacturing processes (molding, extrusion, plating, stamping, assembly etc.)
• Broad knowledge of polymer and metal material properties (mechanical, electric, thermal etc.)
• Hands-on experience of data science and machine learning algorithms involving multiple data types
• Programming skill in Python, C++, Java or similar languages

NLCS (Singapore) believes that each employee makes a significant contribution to our success and that contributions should not be limited by the assigned responsibilities.

Therefore, this position description is designed to outline primary duties, qualifications, and job scope, but not limit the employee, nor NLCS (Singapore), to only the work identified. It is the expectation of the school, that each employee will offer his/her services wherever and whenever necessary to ensure the success of our organisation.

Our School is committed to safeguarding and promoting the welfare of children and young people. The School expects all teaching staff, non‐teaching staff and volunteers to share and uphold this commitment.

NLCS (Singapore) is looking for an enthusiastic, highly qualified and committed Junior School Computer Science Teacher, with an outstanding track record of success. This is a unique opportunity to join a leading international school as it enters an exciting new phase of development. We have just started our third year of operation and already have over 1000 students enrolled.

Teaching, learning & assessment

• Demonstrate passion for the subject and strive to engender the same in students.
• Plan and deliver lessons that inspire, motivate and challenge students whilst ensuring that they are fully prepared for assessment tasks and are able to make the progress expected of them.
• Encourage students to take a scholarly approach to their studies, fostering a love of learning and promoting the pursuit of their academic interests beyond the confines of the curriculum.
• Create and maintain an engaging, exciting classroom environment that encourages discussion, debate and collaboration between students.
• Ensure that students have an excellent understanding of the content outlined in departmental curriculum plans, and are able to apply it effectively.
• Build stretch and challenge into teaching at every opportunity.
• Use a variety of formative and summative assessment techniques to measure students’ progress and achievement, and inform teaching.
• Provide individualised support to students who are underperforming.
• Make effective and timely use of feedback (written, verbal and otherwise) to support students in understanding their current achievement levels and what they can do to improve them.
• Maintain high expectations of the quality of students’ work, liaising with the Head of Department and other relevant staff to implement support strategies for those who are underperforming.
• Maintain high expectations of students’ engagement and work ethic, liaising with the Head of Department and other relevant staff to implement support strategies for those who are not meeting them.
• Maintain high expectations of students’ behaviour, collegiality, attendance and punctuality, in line with School policy, ensuring that relevant procedures are followed if these are not met.
• Ensure that teaching fosters the development of students’ knowledge and use of academic English, implementing appropriate support strategies for EAL students.
• Implement classroom strategies prescribed by the Individual Needs Department for students with an Individual Needs Plan (INP).
• Adopt a positive and developmental approach to academic monitoring activities such as lesson observations, work scrutiny, learning walks and student voice.
• Assess, record and report on the attainment, effort and conduct of students in line with School and departmental assessment policies and procedures.
• Assist in the development of departmental schemes of work and resources.
• Maintain accurate records of student attendance through the School’s attendance system.
• Fulfil a teaching commitment in line with the School policy and allocation.

Pastoral care

• Always consider students’ welfare and best interests, striving to promote both at all times.
• Support the strong pastoral emphasis within NLCS (Singapore) as a tutor, including teaching PSE. Manage a lively, enthusiastic, orderly and safe learning environment fulfilling the responsibilities of that position.
• Develop strong relationships with students, providing guidance and support in academic, pastoral and enrichment matters.
• Liaise with relevant colleagues with a focus on supporting student’s academic and personal development.
• Maintain regular and positive relationships with parents with a focus on supporting their child(ren)’s academic and personal development; the spirit of communication with home should be personal and individual.
• Liaise with and support the Pastoral Leadership team in all matters pertaining to pastoral well-being, responsibility and strategy.
• Working alongside the Senior School Management Team to contribute to academic, pastoral and enrichment activities that broaden students’ experiences and enhance the general life of the school.
• Follow the school’s policies and procedures with regard to pastoral provision.

Enrichment

• Support the School’s academic enrichment programme by contributing to the McCabe Lecture series, supporting student-led academic societies and delivering taught enrichment sessions.
• Attend School events and activities as directed by the Principal and voluntarily support events such as trips, Arts Festival events, sports fixtures (home and away) and musical performances by students, after school and at weekends.
• Deliver co-curricular activities in line with School policy.
• Support the House Competition by attending events and encouraging student participation.

General responsibilities

• Play a full part in the life of the School, supporting its distinctive aims and ethos, and be prepared to actively participate and contribute to the community activities that exist within the School.
• Maintain familiarity with the School’s Guiding Statements, striving to embody and promote them at all times.
• Work effectively as part of a subject and pastoral team.
• Maintain high levels of professionalism and conduct, acting as a positive role model for students.
• Carry out supervisory duties as per published duty rotas.
• Continue own professional development in relevant areas, including subject knowledge, pedagogy and others related to career and personal development goals.
• Attend assemblies, staff meetings and training sessions as per published calendars.
• Engage actively in the appraisal process.
• Contribute to the preparation and implementation of academic and pastoral development plans, policy and practice.
• Treat all students with dignity, building relationships rooted in mutual respect, and at all times observing proper boundaries appropriate to a teacher’s professional position.
• Abide by the expectations laid out in the Academic Staff Handbook and the Staff Code of Conduct.
• Maintain familiarity with, and follow, all school policies.

Safeguarding

• Abide by the School safeguarding policy and keep abreast of any changes

Internal Code: AXI24003

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We create evidence-based, personalised health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

What will you do?

• Assist data scientists in performing public healthcare research and development in line with the organization's vision within the digital health and wellness domain
• Perform on-site or off-site data collection, data organization, storage and processing
• Develop data-driven solutions and insights based on data mining, statistical modelling and machine learning methods
• Perform algorithm testing and validation
• Documentation of research, experiments and modelling findings/results
• Opportunity to be the co-author of our research publications

What are we looking for?

• Year 3 or final year in Data Science, Computer Science, Computer Engineering or related discipline
• Passionate about data science and good working knowledge of Python, SQL and R
• Good understanding or experience in signal processing and machine learning is required
• Keen interest in digital healthcare, wellness and fitness domain
• A 'go with the flow' and positive attitude, adaptable to change and energetic
• Passionate about learning and working with new technologies
• A natural tenacity, resilience and determination

• Manage and deliver analytics benchmarking reports from conception to completion with actionable insights and recommendations.
• High interaction with external clients and manage internal and external stakeholders.
• Define detailed scope and methodology, creating and executing on the framework with appropriate data mining techniques
• Work with the broader Visa data science team to create data driven solutions.
• Focus on building data science visualization capabilities to solve client's problems.
• Drive innovation through using data science techniques
• Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies.
• Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure.
• Explore leading methodologies and best practices to other teams and importing successful methodologies from other international markets

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• 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.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• 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 (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. 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.

[What you will be working on]

• Administer Career Conversion Programme (CCP) which includes document verification, onboarding processes and disbursement of grant

• Provide guidance to companies on application and grant claim processes using various systems

• Market CCP through industry engagements with enterprises which includes media profiling / events

• Facilitate job matching for job seekers and hiring companies

• Work with various stakeholders to establish a sustainability community of practice

• Fulfill Audit requirements for administration of CCP

• 1-year non-renewable contract

[What we are looking for]

Candidates should possess the following:

• Relevant qualifications in administration, management or science and technology

• Competency in data management, verification and experienced in handling placement related programmes

• At least 2 years of relevant industry and/or research experience in areas related to administration of placement related programmes

• Strong communication and interpersonal skills with the ability to build strong working relationships with people at all levels

• Sound planning and organising skills, practical, nimble and responsible

• Proficient in IT skills

We are looking for intellectually curious, highly motivated and customer-focused individuals to build Advanced Analytics and Data Science capabilities within the Regional IT Center of Competence (CoC) for Data Analytics team.

The incumbent will be responsible for the following:

• Own end-to-end development and execution of Data Science and ML/AI models/solution using Azure cloud platform
• Work closely with Data Science (Business), Engineering and Design teams to define and build Data Science and AI/ML products that help organization drive data-driven decisions
• Act as the Data Engineering and Data Quality expert for Data Science use cases
• Work with Data Engineering team and Architects to define Data Science and ML/AI technology landscape
• Handle multiple agencies to drive the Data Science products to success
• Work with Headquarter (HQ) and various markets on the implementation of Data Science and AI/ML product across different geographies
• Balance priorities and tech debt to create effective sprints that move the needle for the business
• Support in implementation of Data Governance Model

QUALIFICATIONS

• Bachelor Degree in Engineering or significant course work in other computer-related fields of study
• More than 5 years or more total experiences in Software Engineering, Data Engineering, Data Quality Management and Project Management
• Certified in Project Management Professional
• Strong knowledge on SQL, Oracle PL/SQL, MSSQL, ETL/ELT, Unix Shell Scripting
• Good communication skills to interact with stakeholders
• Drive to learn new things and take ownership of all deliverables

This position is based in location Singapore. A valid and approved work visa is required for employment in Singapore in accordance to local labour law regulations. We regret to inform you that only shortlisted candidates will be notified.

The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.

At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions.

GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do.

Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today!

Learn more about GovTech at tech.gov.sg

About us – National Digital Identity (NDI)

Imagine citizens having a common and secure digital identity that will make their lives so much easier, and open doors to a plethora of services for them - allowing citizens to do everything from accessing health prescriptions, completing government transactions to starting a bank account through their smartphone.

The Singpass team builds Singapore’s digital identity system. This includes various personal authentication protocols, data sharing tools, and corporate identity systems through Corppass. The mission of the Anti-Fraud team is to minimize the number of compromised Singpass accounts, and the damage done with them. This includes live monitoring for suspicious login behaviour, longer term fraud analytics, and collaborating with partners take action on compromised accounts.

What you will be working on:

• Work with partners to understand the evolving problems and strategize about what data and techniques would be needed to solve them.
• Lead discussions with business stakeholders to establish business requirements, evaluate technical feasibility and data availability required.
• Work with large, complex datasets and applying advanced analytical methods to build machine learning models and deploy the most appropriate solution.
• Build and develop machine learning-based models e.g. recommendation engine(s), predictive models and track their effectiveness.
• Apply the use of machine learning techniques (e.g. deep learning, neural networks, etc..) to improve the current analytics capability.
• Provide inputs to the design and development of an integrated data model to allow analysis across multiple structured and unstructured datasets.
• Build and operate production systems together with engineers to serve these solutions.
• Share your expertise and mentor other data scientists.

What we are looking for:

• Possess strong analytical, conceptualisation, and problem-solving skills. Able to take broad, strategic perspectives, and when necessary, drill deep to understand business needs and challenges.
• Familiar with machine learning models for forecasting, classification, and recommendations.
• Strong in statistical programming tools (e.g. R, Python) and database languages (e.g. SQL)
• Experience in leading a data science team.
• Have excellent oral and written communication skills, along with the ability to pitch ideas and influence stakeholders at all levels on the adoption of analytics.
• Able to present technical concepts and results of technical analyses to non-technical audience effectively.
• Adaptable to dynamic operating contexts and able to work with multiple stakeholders across different teams.
• Strong people manager who can inspire, motivate, and grow the team and has strong organisation skills.
• Have passion for improving public service using analytics and data.

We are an equal opportunity employer and value diversity at our company as we believe that diversity is meaningful to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. This includes generous leave benefits to meet your work-life needs. We trust that you will get the job done wherever you are, and whatever works best for you – so work from home or take a break to exercise if you need to*.

We also believe it’s important for you to keep honing your craft in the constantly-evolving tech landscape, so we provide and support a plethora of in-house and external learning and development opportunities all year round.

*Subject to the nature of your job role that might require you to be onsite during fixed hours

Full Stack Infrastructure Developer

The candidate will be part of the team developing a federated computational infrastructure for multi-domain modelling and simulation. The candidate will focus on integrating modelling and simulation tools with a distributed computational backend to serve the diverse needs of the multi-disciplinary research team and the project stakeholders, including scientific experimentation, modelling and simulation, and the federation of a system-of-systems to address complex policy issues for governmental agencies and affiliated organisations.

The responsibilities include but are not limited to:

• Design a system architecture for the infrastructure.
• Strategise and execute a phased deployment plan for the infrastructure.
• Develop integration capabilities (e.g., APIs, microservices) to connect system components.
• Set up and optimise database and storage systems to support compute-heavy workloads.
• Set up a workflow management system to submit jobs onto a distributed computing cluster.
• Adapt simulation models and AI/ML flows into reusable workflow tasks.
• Package models and pipelines into exportable workflows (e.g., Argo flow, Airflow).
• Deploy full-stack solutions onto on-premises, cloud, or hybrid deployments.
• Automate infrastructure and code management with CI/CD (e.g., Jenkins).
• Implement information security schemes to control and monitor access.
• Construct test cases to ensure correctness, robustness, scalability, and security of the platform.
• Contribute to open-source development for selected system components.
• Support other development activities (e.g., simulation integration, machine learning, frontend).

Education and experience requirements:

• Bachelor's or Master's degree in computer science, software engineering, or related fields.
• Minimum of two years of experience in full stack development, data science, or systems engineering.

Technical skills:

• Strong proficiency in a wide range of programming languages, including Python, Java, JavaScript, and C++.
• Strong experience with containerization and orchestration technologies, such as Docker and Kubernetes.
• Strong proficiency with continuous integration and continuous deployment (CI/CD) pipelines.
• Experience with infrastructure as code (IAC) tools (e.g., Ansible, Terraform).
• Experience with database management systems, such as SQL and NoSQL databases.
• Experience in system administration, including Linux server management.
• Experience with version control systems (e.g., Git).
• Familiarity with cloud computing platforms (e.g., AWS, Azure, or Google Cloud).
• Understanding of networking and security best practices.

Soft skills:

• Excellent communication skills to collaborate with interdisciplinary teams.
• Strong problem-solving and critical thinking abilities.
• Strong project management and time management skills.
• Strong capacity for self-motivation, independence, and initiative to take ownership and complete tasks without constant supervision.
• Adaptability to work in a fast-paced, dynamic research environment.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Full Stack Infrastructure Developer

The candidate will be part of the team developing a federated computational infrastructure for multi-domain modelling and simulation. The candidate will focus on integrating modelling and simulation tools with a distributed computational backend to serve the diverse needs of the multi-disciplinary research team and the project stakeholders, including scientific experimentation, modelling and simulation, and the federation of a system-of-systems to address complex policy issues for governmental agencies and affiliated organisations.

The responsibilities include but are not limited to:

• Design a system architecture for the infrastructure.
• Strategise and execute a phased deployment plan for the infrastructure.
• Develop integration capabilities (e.g., APIs, microservices) to connect system components.
• Set up and optimise database and storage systems to support compute-heavy workloads.
• Set up a workflow management system to submit jobs onto a distributed computing cluster.
• Adapt simulation models and AI/ML flows into reusable workflow tasks.
• Package models and pipelines into exportable workflows (e.g., Argo flow, Airflow).
• Deploy full-stack solutions onto on-premises, cloud, or hybrid deployments.
• Automate infrastructure and code management with CI/CD (e.g., Jenkins).
• Implement information security schemes to control and monitor access.
• Construct test cases to ensure correctness, robustness, scalability, and security of the platform.
• Contribute to open-source development for selected system components.
• Support other development activities (e.g., simulation integration, machine learning, frontend).

Education and experience requirements:

• Bachelor's or Master's degree in computer science, software engineering, or related fields.
• Minimum of 5 years of experience in full stack development, data science, or systems engineering.

Technical skills:

• Strong proficiency in a wide range of programming languages, including Python, Java, JavaScript, and C++.
• Strong experience with containerization and orchestration technologies, such as Docker and Kubernetes.
• Strong proficiency with continuous integration and continuous deployment (CI/CD) pipelines.
• Experience with infrastructure as code (IAC) tools (e.g., Ansible, Terraform).
• Experience with database management systems, such as SQL and NoSQL databases.
• Experience in system administration, including Linux server management.
• Experience with version control systems (e.g., Git).
• Familiarity with cloud computing platforms (e.g., AWS, Azure, or Google Cloud).
• Understanding of networking and security best practices.

Soft skills:

• Excellent communication skills to collaborate with interdisciplinary teams.
• Strong problem-solving and critical thinking abilities.
• Strong project management and time management skills.
• Strong capacity for self-motivation, independence, and initiative to take ownership and complete tasks without constant supervision.
• Adaptability to work in a fast-paced, dynamic research environment.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Simulation Integration Developer

The candidate will be part of the team developing a federated computational infrastructure for multi-domain modelling and simulation. The candidate will focus on the software and system integration of sophisticated simulation models (developed by multiple research partners) into a system-of-systems, which will be used by governmental agencies and affiliated organisations to address complex policy issues. The responsibilities include but are not limited to:

• Design a federated integration architecture for the system-of-systems.
• Strategize and execute a phased deployment plan for the federation.
• Assess and evaluate existing integration technologies to determine their suitability for the project's requirements.
• Integrate and customise simulation models to work seamlessly within the broader federation.
• Develop connectors, interfaces, and adapters to facilitate model communication and data interchange.
• Perform verification and validation of integrated simulations, including internal testing and external validation with stakeholders.
• Collaborate with cross-domain teams to incrementally and continuously integrate their simulation models into the federation.
• Optimise simulation and federation performance and stability.
• Construct test cases to ensure correctness, robustness, scalability, and security of the federation.
• Contribute to open-source development for selected system components.
• Support other development activities (e.g., machine learning, frontend, backend).

Education and experience requirements:

• Bachelor's or Master's degree in computer science, software engineering, or related fields.
• Minimum of two years of experience in simulation development and/or system integration.

Technical skills:

• Strong proficiency in a wide range of programming languages, including Python, Java, JavaScript, and C++.
• Proficiency in high-performance communication technology (e.g., gRPC, MPI, ZeroMQ)
• Proficiency in simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).
• Familiarity with simulation integration standards and frameworks (e.g., HELICS, HLA, DIS)
• Familiarity with model pipelining tools (e.g., Airflow, MLflow, Argo).
• Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
• Experience with version control systems (e.g., Git).

Soft skills:

• Excellent communication skills to collaborate with interdisciplinary teams.
• Strong problem-solving and critical thinking abilities.
• Strong project management and time management skills.
• Strong capacity for self-motivation, independence, and initiative to take ownership and complete tasks without constant supervision.
• Adaptability to work in a fast-paced, dynamic research environment.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Simulation Integration Developer

The candidate will be part of the team developing a federated computational infrastructure for multi-domain modelling and simulation. The candidate will focus on the software and system integration of sophisticated simulation models (developed by multiple research partners) into a system-of-systems, which will be used by governmental agencies and affiliated organisations to address complex policy issues. The responsibilities include but are not limited to:

• Design a federated integration architecture for the system-of-systems.
• Strategize and execute a phased deployment plan for the federation.
• Assess and evaluate existing integration technologies to determine their suitability for the project's requirements.
• Integrate and customise simulation models to work seamlessly within the broader federation.
• Develop connectors, interfaces, and adapters to facilitate model communication and data interchange.
• Perform verification and validation of integrated simulations, including internal testing and external validation with stakeholders.
• Collaborate with cross-domain teams to incrementally and continuously integrate their simulation models into the federation.
• Optimise simulation and federation performance and stability.
• Construct test cases to ensure correctness, robustness, scalability, and security of the federation.
• Contribute to open-source development for selected system components.
• Support other development activities (e.g., machine learning, frontend, backend).

Education and experience requirements:

• Bachelor's or Master's degree in computer science, software engineering, or related fields.
• Minimum of 5 years of experience in simulation development and/or system integration.

Technical skills:

• Strong proficiency in a wide range of programming languages, including Python, Java, JavaScript, and C++.
• Proficiency in high-performance communication technology (e.g., gRPC, MPI, ZeroMQ)
• Proficiency in simulation software and tools (e.g., SimPy, MASON, Repast, Simulink, AnyLogic, SUMO).
• Familiarity with simulation integration standards and frameworks (e.g., HELICS, HLA, DIS)
• Familiarity with model pipelining tools (e.g., Airflow, MLflow, Argo).
• Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
• Experience with version control systems (e.g., Git).

Soft skills:

• Excellent communication skills to collaborate with interdisciplinary teams.
• Strong problem-solving and critical thinking abilities.
• Strong project management and time management skills.
• Strong capacity for self-motivation, independence, and initiative to take ownership and complete tasks without constant supervision.
• Adaptability to work in a fast-paced, dynamic research environment.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Key Responsibilities

• Knowledgeable in data analysis and interested in operations management, document management and virtual knowledge-space construction
• Having working knowledge of the biopharma environment is preferred
• Responsible for the use of data science methods in the management of departmental resources including physical inventory, the purchasing and tracking of lab materials, and other consumables
• Helps with providing data set to help management make operational, administrative and HR decisions such as the data visualization, retrieval and the tracking of training records
• Serves as the liaison between Quality, and EHS department and various production groups, responsible for departmental document management and distribution; responsible for departmental safety and quality inspections and gathering feedback
• Complete other tasks assigned by the supervisor related to the smooth running of the department

Key Requirements

• Diploma / Bachelor’s degree in Cell biology, Molecular Biology, Biomedicine and other related majors is preferred
• Preferred internship period - Aug to Dec 2024
• Good experimental habits, ability to process and analyze data and solve problems, and strong execution skills
• Proficiency in operating MS Office suite software
• Knowledge of quality as it pertains to a manufacturing setting
• Mastery of the relevant rules and regulations involved in the position

Assistant/Associate Professor

DEPARTMENT OF COMPUTER SCIENCE

Location: 510 Dover Road, Singapore

Description: Full-time Assistant Professor in Department of Computer Science, DigiPen Institute of Technology Singapore. We expect to make an appointment at the Assistant Professor Level or higher, commensurate with the candidate’s academic credentials and prior experience.

Responsibilities:

• While teaching some combination of the above subjects as determined by the selected candidate's unique synthesis of interests, he/she is also expected to teach general computer science subjects (such as operating systems, data structures, design and analysis of algorithms) at the university level. Other responsibilities include academic advising, undergraduate research advising, curriculum development, institutional service and appropriate scholarly activity.

Education and Experience Qualifications:

• PhD degree in Computer Science, Computer Engineering, or a closely related field.
• At least 4 years of industry or research experience in the field of study or a closely related area.
• Strong background in one or more following areas: C/C++ programming, Computer Graphics, Computer Architectures, Parallel Processing, Computer Networks, VR/AR, Computer Vision, Data Analysis, Distributed Computation, Cyber Security.
• Work/Teaching experience or exposure to one or more following areas: game/interactive-simulation, AI, machine learning, computer vision, data science, image processing, etc.
• 2D/3D graphic programming (OpenGL or DirectX) is an added advantage.
• A commitment to teaching excellence and scholarship is also expected.

Starting Date: Immediate

Salary: Salary is competitive and commensurate with experience and education.

Application: Review of applications will begin immediately and continue until the position is filled. For a complete application, please email a letter of interest, curriculum vitae, and statement of teaching philosophy, transcript of highest degree earned, and three letters of recommendation.

Electronic submission is required with documents in either Word or PDF format attached to an email and sent to:

Email: [email protected] with subject line “Full-time Faculty of Computer Science”.

NLCS (Singapore) believes that each employee makes a significant contribution to our success and that contributions should not be limited by the assigned responsibilities.

Therefore, this position description is designed to outline primary duties, qualifications, and job scope, but not limit the employee, nor NLCS (Singapore), to only the work identified. It is the expectation of the school, that each employee will offer his/her services wherever and whenever necessary to ensure the success of our organisation.

Our School is committed to safeguarding and promoting the welfare of children and young people. The School expects all teaching staff, non‐teaching staff and volunteers to share and uphold this commitment.

NLCS (Singapore) is looking for an enthusiastic, highly qualified and committed Computer Science Teacher, with an outstanding track record of success. This is a unique opportunity to join a leading international school as it enters an exciting new phase of development. We have just started our third year of operation and already have over 1000 students enrolled.

Teaching, learning & assessment

• Demonstrate passion for the subject and strive to engender the same in students.
• Plan and deliver lessons that inspire, motivate and challenge students whilst ensuring that they are fully prepared for assessment tasks and are able to make the progress expected of them.
• Encourage students to take a scholarly approach to their studies, fostering a love of learning and promoting the pursuit of their academic interests beyond the confines of the curriculum.
• Create and maintain an engaging, exciting classroom environment that encourages discussion, debate and collaboration between students.
• Ensure that students have an excellent understanding of the content outlined in departmental curriculum plans, and are able to apply it effectively.
• Build stretch and challenge into teaching at every opportunity.
• Use a variety of formative and summative assessment techniques to measure students’ progress and achievement, and inform teaching.
• Provide individualised support to students who are underperforming.
• Make effective and timely use of feedback (written, verbal and otherwise) to support students in understanding their current achievement levels and what they can do to improve them.
• Maintain high expectations of the quality of students’ work, liaising with the Head of Department and other relevant staff to implement support strategies for those who are underperforming.
• Maintain high expectations of students’ engagement and work ethic, liaising with the Head of Department and other relevant staff to implement support strategies for those who are not meeting them.
• Maintain high expectations of students’ behaviour, collegiality, attendance and punctuality, in line with School policy, ensuring that relevant procedures are followed if these are not met.
• Ensure that teaching fosters the development of students’ knowledge and use of academic English, implementing appropriate support strategies for EAL students.
• Implement classroom strategies prescribed by the Individual Needs Department for students with an Individual Needs Plan (INP).
• Adopt a positive and developmental approach to academic monitoring activities such as lesson observations, work scrutiny, learning walks and student voice.
• Assess, record and report on the attainment, effort and conduct of students in line with School and departmental assessment policies and procedures.
• Assist in the development of departmental schemes of work and resources.
• Maintain accurate records of student attendance through the School’s attendance system.
• Fulfil a teaching commitment in line with the School policy and allocation.

Pastoral care

• Always consider students’ welfare and best interests, striving to promote both at all times.
• Support the strong pastoral emphasis within NLCS (Singapore) as a tutor, including teaching PSE. Manage a lively, enthusiastic, orderly and safe learning environment fulfilling the responsibilities of that position.
• Develop strong relationships with students, providing guidance and support in academic, pastoral and enrichment matters.
• Liaise with relevant colleagues with a focus on supporting student’s academic and personal development.
• Maintain regular and positive relationships with parents with a focus on supporting their child(ren)’s academic and personal development; the spirit of communication with home should be personal and individual.
• Liaise with and support the Pastoral Leadership team in all matters pertaining to pastoral well-being, responsibility and strategy.
• Working alongside the Senior School Management Team to contribute to academic, pastoral and enrichment activities that broaden students’ experiences and enhance the general life of the school.
• Follow the school’s policies and procedures with regard to pastoral provision.

Enrichment

• Support the School’s academic enrichment programme by contributing to the McCabe Lecture series, supporting student-led academic societies and delivering taught enrichment sessions.
• Attend School events and activities as directed by the Principal and voluntarily support events such as trips, Arts Festival events, sports fixtures (home and away) and musical performances by students, after school and at weekends.
• Deliver co-curricular activities in line with School policy.
• Support the House Competition by attending events and encouraging student participation.

General responsibilities

• Play a full part in the life of the School, supporting its distinctive aims and ethos, and be prepared to actively participate and contribute to the community activities that exist within the School.
• Maintain familiarity with the School’s Guiding Statements, striving to embody and promote them at all times.
• Work effectively as part of a subject and pastoral team.
• Maintain high levels of professionalism and conduct, acting as a positive role model for students.
• Carry out supervisory duties as per published duty rotas.
• Continue own professional development in relevant areas, including subject knowledge, pedagogy and others related to career and personal development goals.
• Attend assemblies, staff meetings and training sessions as per published calendars.
• Engage actively in the appraisal process.
• Contribute to the preparation and implementation of academic and pastoral development plans, policy and practice.
• Treat all students with dignity, building relationships rooted in mutual respect, and at all times observing proper boundaries appropriate to a teacher’s professional position.
• Abide by the expectations laid out in the Academic Staff Handbook and the Staff Code of Conduct.
• Maintain familiarity with, and follow, all school policies.

Safeguarding

• Abide by the School safeguarding policy and keep abreast of any changes

Overview

As the Head of Data Science, you will play a pivotal role in shaping and leading a professional team to harness the power of data analytics and science across various business units. Your responsibilities span from strategic vision-setting to hands-on involvement in developing sophisticated solutions for complex business challenges. This role requires a seasoned leader who can foster innovation, optimize data infrastructure, and champion advanced analytics methodologies to drive informed decision-making.

Key Responsibilities

Team Leadership and Strategy:

• Build and lead a data science team, defining a strategic vision for data analytics and science initiatives.
• Develop and oversee the implementation of data science roadmaps, ensuring alignment with strategic business objectives.

Analytics Development:

• Drive the development and execution of sophisticated BI solutions, predictive analytics, and machine learning models.
• Champion the adoption of advanced analytics methodologies, such as AI-driven insights and automation.

Infrastructure Optimization:

• Collaborate with Database Administrators and Data Engineers to design and optimize data infrastructure.
• Explore and integrate new data sources, tools, and analytical techniques for continuous enhancement of capabilities.

Cultural Fostering:

• Lead by example in fostering a culture of continuous improvement and experimentation with new data science techniques.
• Mentor and develop team members, setting up frameworks for skill enhancement in machine learning, deep learning, NLP, and big data technologies.

Stakeholder Engagement:

• Engage with stakeholders at all levels to provide insightful, data-driven recommendations.
• Deliver presentations that inform and shape key business strategies based on data-driven insights.

Requirements:

Experience:

• Minimum 8 years of experience in the data domain, with a proven track record in BI roles and advanced analytics modeling.
• Extensive experience leading and managing data science teams.

Skills:

• Strong business acumen with the ability to translate complex data insights into clear, actionable business strategies.
• Expertise in stakeholder management and effective communication.
• Proficiency in cutting-edge data science techniques, tools, and platforms.

Leadership:

• Demonstrated ability to build and scale data science capabilities from scratch.
• Outstanding problem-solving skills and attention to detail.

Responsibilities:

• Gather and analyze user requirements and translate them to business solutions
• Design, write and implement efficient code to preprocess data, train, evaluate, test and deploy models
• Plan, manage and lead data science projects
• Develop machine learning and deep learning models for production level
• Improve and manage existing models and systems
• Guide the internal team on technical details and project development
• Present insightful data outcomes to project stakeholders

Requirements:

• Bachelor’s Degree in Computer Science, Science/Engineering field or equivalent
• At least 2 years’ experience in Data Science related function
• Proficient in Python programming and common libraries for data analytics, machine learning and deep learning (pandas, numpy, scikit learn, keras etc)
• Good understanding of machine learning/deep learning algorithms and their applications
• Knowledge in use of SQL and/or noSQL databases (postgres, oracle, MongoDB etc.)
• Familiarity with implementing models at production level
• Experience with data visualization tools such as Power BI, Tableau
• Hands-on practical experience on other data science development in languages such as R, Java, C++, etc
• Experienced in manufacturing industry is advantageous

To apply, please visit www.gmprecruit.com and search for Job Reference: 23985

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

As a member of #TeamPSA, you will be part of a diverse and global team at the forefront of creating cargo solutions to enable more agile, resilient and sustainable supply chains. Experience first-hand and drive supply chain transformation from Singapore and through PSA’s global network of ports, logistics and supply chain solutions. Alongside, we can move the world!

• Develop Your Potential: We emphasise and offer exciting rotations, learning and development opportunities, which will fuel your career aspirations and complement your business exposure across our global network.
• Diverse, Equal Opportunity: We build a sustainable work culture where all our people feel welcome, valued, respected and able to express their ideas and beliefs freely. We believe that diversity of thought and approaches in our workplace makes us stronger as a team.
• Competitive Compensation & Benefits: We are committed to recognising and rewarding your contributions to the business. Our benefits packages aim to improve your quality of life by providing support for medical, dental, recreation, among others.

This role will be an integral part of the PSA Group Data For Excellence (DFE) team which drives and promotes the application of data science and AI/ML solutions to PSA businesses globally.

Job Description

• Create value through developing data analytics solutions that supports PSA global objectives as well as local business requirements.
• Proactively work with key internal customers associated with new and existing business initiatives to understand, shape, agree and deliver on their data analytics requirements.
• Responsible for ideation, design, development and deployment of data analytics solutions, descriptive to prescriptive based on the requirements.
• Select features, build and optimize classifiers using machine learning techniques from large and diverse datasets.
• Analyse high-volume, high-dimensionality and high-volatility structured and/or unstructured data to obtain business insights and recommendations using statistical techniques and PSA Data Analytics Platform
• Work and collaborate with data science and data engineering team at all stages of CRISP-DM Methodology
• Align to PSA data policy, data governance standards and best practices and document as required

Skills Requirements

• Expertise in Python programming language, in-depth knowledge of AI/ML libraries/techniques and knowledge in statistical methods useful to develop data analytic solutions for a diverse range of use-cases.
• Experience in one of the visualisation tools, preferably Power BI and experience in building data models/cubes using SSAS or Azure Analysis Services
• Full development lifecycle experience for the data analytics solutions such as business & data understanding, data preparation, model development, visualization, validation and deployment.
• Experience in developing AI/ML models in supervised, unsupervised and reinforcement machine learning techniques for a variety of data analytics problems.
• Ability to learn and apply open source data science technologies on large datasets to explore, experiment and generate new insights and develop innovative solutions.
• A good degree in Computer Science, Statistics, Data Management, Engineering and /or Masters in Business Analytics or a related field.
• Effective communicator who can work with diverse stakeholders to define requirements, refine data analytics use cases and present the data insights.
• Strong interpersonal and presentation skills and ability to manage cross cultural differences and sensitivities.

Experience

• At least 4 years of experience as a data science analyst or data scientist in developing data analytics solutions as well as working in a data science team.

• Opportunity to join a well-establised organisation based in Singapore
• Career Advancement with Stable Organisation

About Our Client

One of our top clients, one of the main players in Shipping industry is currently expanding their data excellence team. They have operations in multiple regions, such as Southeast Asia, Middle East South Asia, Northeast Asia, Europe, Mediterranean, and Americas.

Job Description

As a data analyst, you are responsible for:

• Develop data analytics solutions to meet global and local business needs within the organisation.
• Collaborate with internal customers, design and deploy solutions, utilise machine learning for classification, analyse large datasets for insights, and work with data science and engineering teams following CRISP-DM Methodology.
• Examine large and complex structured or unstructured data using statistical methods and the company Data Analytics Platform to derive business insights and recommendations.
• Adhere to company data policies and document accordingly

The Successful Applicant

As a successful candidate, you have at least 3 years of experience in Power BI and SSAS/Azure Analysis Services, with full lifecycle involvement in data analytics solutions. Also, you will be proficient in developing diverse AI/ML models, applying open-source technologies, and possessing effective communication skills for collaborating with stakeholders on refining use cases and presenting insights.

What's on Offer

• Stable organisation with growth opportunity
• Opportunity to get involved in newly on-boarded project

Contact

Wilson Tay (Lic No: R2091205/ EA no:18S9099)

Quote job ref

JN-022024-6347383

Phone number

+65 6416 9838

Michael Page International Pte Ltd | Registration No. 199804751N

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 team is 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:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• 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 solution

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 3 year of experience in marketing modeling
• 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 initiative
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

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.

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 team is 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:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• 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 solution

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 1 year of experience in marketing modeling
• 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 initiative
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

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.

What a Director Data Science, Visa Consulting & Analytics does at Visa:

The Data Science Director will be a member of VCA Data Science team in Asia Pacific and will report to the Head of Data Science overseeing the IPVMC cluster. The position will be based in Visa’s Singapore office.

The individual will be accountable for leading the design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking/payments domain with a strong background in data science to solve complex problems and unlock business value.

Key responsibilities include:

• Collaborate with business leaders, internal stakeholders and client teams to understand business needs and identify the strategic areas where data science can drive strong business impact, in alignment with the organization's goals and priorities.

• Develop holistic data science strategies for driving innovations, accelerate new solution launches, create data offerings in alignment with business strategy

• Provide leadership and guidance to the data scientists and play a critical role in ensuring project success for IPVMC engagements

• Establish best practices for data science project governance, solution development and operationalization

• Continuously explore and evaluate emerging technologies, tools, and frameworks to ensure that our organization and team remains at the forefront of machine learning and AI.

• Develop and manage project budgets, ensuring effective utilization of resources and alignment with financial targets.

• Establish clear success measures for data science projects and drive continual improvement

• Promote thought leadership in the data science domain and build intellectual property through innovation

• Effectively interact with clients and manage internal/external stakeholder communication

• If required on a per-project basis, work onsite for a short duration

Why this is important to Visa

As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We’re building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative and advanced analytic solutions. The purpose of the team is to help Visa’s clients grow their business and solve problems by providing consulting services through the use of data. 

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Tyco Electronics Singapore Pte Ltd (TE Connectivity) is looking for an R&D Manager to join our Corporate R&D Center. The manager will lead the newly formed Artificial Intelligence team to create an AI Hub for TE in Singapore. Team members will collaborate with R&D peers, business unit partners as well as local university and government research centers to undertake projects that will embed AI in TE’s design and process development work flows to deliver a competitive advantage to TE’s technologies. This position is based at our Singapore HQ.

The Singapore Corporate R&D Center is chartered to work with the CTO’s and Advanced Development Groups of TE Business Units to identify technical areas of interest for R&D and develop forward looking technologies that will deliver broad value to the business. To improve the New Product Development process, TE is expanding our Artificial Intelligence capabilities as a part of our Digitalization strategy to improve efficiency, decrease cost, and decrease time to market.

Job Responsibilities:

• Lead the AI team that deliver high quality data science solutions and AI/ML infrastructure to support new product development (NPD) in TE
• Lead the team to adopt cutting-edge data science techniques (using in-house coding tools or commercial software) and develop machine learning algorithms to solve engineering problems (such as material formulation, manufacturing process, product design, etc.) based on experimental and simulation data sets.
• Collaborate with multi-discipline specialists in data science, electronics, material science, mechanics, additive manufacturing, and other fields.
• Work with local and global TE sites, and external customers/vendors, to address urgent or strategic needs.
• Partner with Singapore research institutes and universities to develop advanced AI techniques.
• Develop and execute the roadmap and strategy of AI
• Manage portfolio of projects to drive completion of tasks and ensure timely delivery of high-quality results that reduce cost, speed time to market and increase quality.
• Enhance the awareness across TE of the AI capabilities of the Singapore AI Hub and promote the democratization of AI in TE at the enterprise scale.

Job Requirements:

Required:

• Proven track record of team management and technical leadership
• Proven experience of solving engineering problems with AI, data science and machine learning
• Bachelor’s degree (or higher) in Engineering (or related discipline) with 10 years working experience in product development or R&D
• Strong multitasking, prioritization, and ability to delegate where appropriate and keep resources aligned with critical priorities.
• Strong verbal and written communication, and presentation skills with interpersonal skills to work with multiple level and multi-discipline stake holders.
• Project management expertise, PMP Certification Preferred

Preferred:

• Familiarity with product design, material development and Additive Manufacturing
• Knowledge of TE’s business, products, material, and manufacturing processes (molding, extrusion, plating, stamping, assembly etc.)
• Broad knowledge of polymer and metal material properties (mechanical, electric, thermal etc.)
• Hands-on experience of data science and machine learning algorithms involving multiple data types
• Programming skill in Python, C++, Java or similar languages

Xaltius is a technology and data-driven company with the expertise to provide innovative software solutions and training to customers around the globe. We work to revamp and refine business potential, driving business excellence. As a maturing, tech-based company at heart, we are driven by the ever-changing dynamics of digitalization to provide personalized software solutions elevating business capabilities. Alongside our counterparts, we offer retail and corporate training in the fields of data analytics, data science, big data, and cloud technologies and have been actively doing that in Singapore since inception.

We are a diverse and value-driven team of knowledgeable and talented individuals, focusing entirely on achieving outstanding customer satisfaction. Being a young and fast-moving team, open-mindedness and flexibility define us. We strongly believe in educating and inspiring interested adult learners through our training sessions and are looking for enthusiastic and futuristic clients to collaborate with on IT projects.

This is a one year contract role with the need for the following:

Skills Requirement :

Areas of expertise are as follow (one or more):

• Advanced Python
• Data Analytics & Machine Learning with Python
• Microsoft PowerBI
• Statistics for Data Science
• Microsoft Excel (Data Cleaning, Functions, PivotTables, Pivotcharts)
• SQL and Database Design
• Tableau
• Deep Learning
• Big Data
• Data Bricks

Job Requirements:

• Preferably 2 years relevant working/ teaching experience in data analytics and in training professionals
• Masters specializing in Data Science is a plus
• ACLP/ACTA certified is a plus
• Excellent interpersonal and written communication skills
• Willingness and proactive to assist in troubleshooting and solving issues
• Passion towards learning new skills and knowledge, and imparting knowledge to others.