Job Description:

• As a key member of HR payroll and data management team, you will ensure accuracy, consistency and standardization of HR processes to ensure efficient administration of all HR activities that complies with company’s policies and government legislations.
• You will work proactively in partnership with key stakeholders to deliver end-to-end processing of employee data, keep proper documentation and records, and administer the staff compensation and benefits.
• In addition to the day-to-day operations, this role will identify and streamline the HR processes and develop a centralized shared service unit at the group level to drive quality HR services (covering full employee lifecycle) to employees in a large organization.
• There will be projects centered around HR system enhancements in SuccessFactors, BIPO Payroll, Leave and Attendance Management for you to hone your project management skills and develop yourself to be the subject matter expert on the deployment of HRIS.

Job Requirements:

• Minimum 2 years or more relevant HR Shared Service Experience.
• Diploma/Degree in Business Administration, Human Resources, Psychology or related.
• Hands-on experience on SuccessFactors is a pre-requisite.
• Knowledge on Payroll administration is an advantage.
• Proficient in Microsoft Office applications.
• Prior experience in HR shared services environment with a large organization is preferred.
• Highly self-motivated, committed and resourceful; with initiative and drive to deliver organized and meticulous work.

Responsibilities for Data entry assistant

• Transfer data from paper formats into computer files or database systems using keyboards, data recorders or optical scanners
• support in adhoc admin duties
• Create spreadsheets with large numbers of figures without mistakes
• Verify data by comparing it to source documents
• Update existing data
• Retrieve data from the database or electronic files as requested
• Perform regular backups to ensure data preservation
• Sort and organize paperwork after entering data to ensure it is not lost
• Greet visitors and point them in the right direction, answer inquiries, and create a welcoming environment
• Organize and maintain files and databases in a confidential manner
• Manage communication including emails and phone calls
• Screen phone calls, redirect calls, and take messages
• Schedule appointments, meetings, and reservations as needed
• Receive invoices and review for accuracy
• Assist HR Manager on all related HR/Admin duties
• Team player to work in office environment

Qualifications for Data entry Assistant

• High school diploma or general education.
• 1-2 years of clerical, secretarial, or office experience
• Proficient computer skills, including Microsoft Office
• Strong verbal and written communication skills
• Any additional certifications
• High degree of attention to detail
• Data entry experience
• Working knowledge of general office equipment

About Sembcorp Industries

Sembcorp Industries (Sembcorp) is a leading energy and urban solutions provider, led by its purpose to drive energy transition.

Headquartered in Singapore, Sembcorp delivers sustainable solutions to support energy transition and urban development by leveraging its sector expertise and global track record.

Sembcorp has a balanced energy portfolio of 21.2GW, with 14.4GW of gross renewable energy capacity across 10 countries*.

Its urban development projects span over 14,000 hectares across Asia and have generated over 377,000 employment opportunities and attracted close to US$50 billion of investment capital.

Sembcorp is listed on the main board of the Singapore Exchange. It is a constituent stock of FTSE Russell Index, MSCI Singapore Index, Straits Times Index as well as sustainability indices including FTSE4Good Index, iEdge SG ESG indices and several MSCI ESG indices.

For more information, please visit www.sembcorp.com.

PURPOSE AND SCOPE

The Data Analyst role is positioned to tap on the vast amounts of data available at Sembcorp Solar to better guide the organization in optimizing its operational and business processes. The role will reside within the Business Excellence Unit and will work on cross-functional projects.

KEY ROLES AND RESPONSIBILITIES

• Work with various departments within Sembcorp Solar to propose, develop and maintain automated data collection systems and pipelines across reporting lines.
• Provide stakeholders with accurate and relevant information through data-driven reports, visualizations, and presentations.
• Assist to identify and solve complex business problems by interpreting data trends and patterns.
• Develop statistical models and forecasts to support business planning.
• Continuously evaluate and refine existing data processes and methodologies to enhance data quality, integrity, and efficiency.

QUALIFICATIONS & EXPERIENCE

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics, or related fields.
• Demonstrable experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn in Python.
• Experience in data cleaning, transformation, and integration
• Experience working in cross-functional teams and collaborating with stakeholders from different departments.
• Proficiency in analyzing large datasets to extract meaningful insights.
• Knowledge of geospatial analysis and data-warehousing concepts can be advantageous.

SKILLS/COMPETENCIES & PREFERRED CHARACTERISTICS

• Understanding of statistical methods and concepts such as hypothesis testing, regression analysis, clustering, and classification techniques.
• Ability to use statistical methods and tools to interpret data and solve analytical problems.
• Ability to understand business requirements, translate them into analytical tasks, and provide actionable insights to stakeholders.
• Capability to identify problems and develop creative solutions using data-driven techniques.
• Effective communication of findings through reports, presentations, and visualizations to both technical and non-technical audiences.
• Thoroughness in data analysis and ensuring data quality and accuracy in findings and reports.
• Familiarity with specific industry trends and metrics relevant to the solar PV industry can be advantageous.

Fresh graduates are welcome to apply. Candidates will be expected to share about projects previously delivered.

At Sembcorp, our shared corporate behaviors underpin all the work that we do in building a sustainable future:

• Institution-first Mindset – Put the interest of the Group ahead of individual interests.
• Collaboration – Deliver through collaborating across markets, businesses and functions.
• Accountability – Hold team and self accountable to deliver on our commitments.

Responsibilities:

• Collect, clean, and transform large datasets for analysis. This may involve working with programming languages such as, SQL, R/Python, JavaScript, etc. to create automated data processing flow. Codes should be clean and well-documented.
• Design, develop, and maintain dashboards and interactive visualisations for data exploration to help end-users make informed data-driven decisions. This includes using analytical tools such as Microsoft Excel, PowerBI, ZOHO and/or Tableau.
• Manage data quality assurance processes to ensure data accuracy and consistency.
• Develop and implement data governance policies and standard operating procedures (SOP) and conduct ad-hoc analysis to answer specific business questions and address challenges.
• Collaborate with stakeholders to define business requirements and translate them into analytical tasks and present analytical findings and recommendations to stakeholders.
• Stay up to date with emerging technologies and tools in the data analytics space and evaluate how they can be used to improve the company's analytics platform and services.

Requirements:

• Degree or Diploma in Computer Science with min 3 years of experience in related field
• Customer-first mentality with a high dose of empathy and passion for the Built Environment,familiarity with IoT (Internet-of-Things) devices and their data streams.
• Familiarity with version control systems (GIT and others), CI/CD practices, testing and migration tools for database and software and understanding of A1 Modelling.
• Experience working with APIs and SQL databases.
• Familar with tools such as PowerShell, Apache Spark, PySpark, etc.

Overview

Our healthcare client is seeking a Senior Executive/Assistant Manager to support day-to-day operations at their Contact Centre, ensuring service standards, key performance indicators (KPIs), and positive experiences.

https://www.handsfreetravel.com/

Your responsibilities

• Identify and analyze existing products and strategies in order to create innovative business approaches and opportunities.
• Monitor industry trends, competitive landscape, and product design and development in the marketplace to help create innovative product ideas.
• Work with cross-functional teams such as engineering and marketing to transform creative ideas into functional, saleable products and services.
• Conceive new and improved features by working closely with customer-focused teams to understand customer needs and transform them into product initiatives.
• Develop product roadmaps and manage the whole product lifecycle: from inception and prioritizing new features to final delivery.
• Regularly conduct feasibility studies and market research on potential product releases.
• Track metrics post-launch, to ensure products are delivering against key performance indicators.
• Make strategic and data driven decisions to prioritize certain product features over others and adjust as necessary.
• Deep strategic analysis to answer core questions such as: How can we help advertisers see better performance? Why do SMB advertisers churn? Who should our target audience be?
• Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement and investment.
• Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.
• Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric.

What you'll need to succeed

• Proven experience as a Product Manager (at least 5 years related working experience), with a track record of managing all aspects of a successful product throughout its lifecycle.
• Understanding in software development knowledge, can communicate well with customers and development
• Ability to analyze data and iteratively optimize products based on data
• Ability to create and deliver presentations tailored to the audience needs.
• Strong problem-solving skills, coupled with effective communication and adept decision-making capabilities.
• Good project management skills with the ability to balance multiple concurrent projects.
• Experience with driving the product vision, go-to-market strategy and design discussions.
• Bachelor's degree in a relevant field.
• 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
• Strong background in statistics, machine learning, and/or experimentation
• Domain knowledge in advertising and product development.

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.

As part of our team, you can look forward an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.

https://nusit.nus.edu.sg/

Job Description

We are seeking an experienced Data Engineering Lead to oversee the data engineering team in NUS.

The role will be responsible for leading and guiding teams in the development of high-quality data lakehouse, ensuring they meet business needs and align with NUS strategic goals. The role will also ensure the proper implementation across all stages of the data lifecycle

This role will manage a team of 6 data engineers handling ELT/ETL framework and end-to-end data pipelines from various source systems to data lakehouse with a plan for future growth.

This is a hands-on leadership role and the candidate should have been on active hands-on development at least 5 years prior.

Duties and Responsibilities

Technical Expertise
• Participate in the technical design of data platforms and their technologies, including their framework, architecture, standards, and guidelines.
• Provide technical guidance and expertise to the team, helping to solve complex technical challenges.
• Stay updated about emerging technologies and industry trends to drive innovation within our organization.
• Ensure adherence to best practices in design, development, testing, and maintenance.
Leadership and Team Management
• Lead and mentor the team, fostering a culture of innovation, collaboration, and excellence.
• Provide direction and guidance to the team in managing the full data lifecycle.
• Perform Scrum Master role for the team.
• Develop and implement strategies to enhance team’s performance and productivity.
• Foster collaboration and high-performance culture within the team.
Delivery Management
• Ensure timely and high-quality delivery, aligning with project objectives, scope, and timelines.
• Oversee the design and implementation of data lakehouse to meet the university’s needs.
Quality Assurance
• Implement quality control and testing procedures to guarantee the high-quality delivery.
• Ensure data lakehouse aligns with the university's regulatory and compliance requirements.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 7 years of experience in technical leadership roles, with a strong emphasis on data lakehouse and data engineering solutions.
• Proven ability to lead data engineering teams, promoting collaboration and achieving project objectives.
• Strong problem-solving and critical-thinking skills, with a proven track record of effectively addressing technical challenges and risk mitigation.
• Strong knowledge of quality assurance processes, encompassing testing methodologies, and quality control procedures.
• Relevant experience in designing, developing, and supporting data lakehouse and data engineering solutions.
• Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors.
• Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit.

Technical Expertise
• Strong working experience in end-to-end development of data lakes and data warehouses, preferably with experience in Informatica.
• Strong working experience in Azure Data services, preferably Azure Fabric.
• Strong database working experience for transactional and analytics systems, including querying and tuning large, complex data sets and performance analysis.
• Working experience in big data and DataSecOps is an added advantage.

The resources will have the below qualifications:

• Required skills include 3+ years of experience in the implementation, maintenance and analysis of data center facilities, hardware, communications infrastructure, strategies, tools and effective troubleshooting techniques.
• Basic background on enterprise data center facilities and infrastructure environments such as PDUs, RPPs, network and SAN infrastructures. In depth knowledge on complex, Enterprise class inter-networked environments involving a combination of switched/routed/shared Ethernet, TwinAx (100GigE, 25GigE,10GigE, GigE, 100M, and 10M), token ring, SAN, and wide area connectivity.
• Strong knowledge of WAN technologies (OC-x, DS-x), subnetting and TCP/IP protocol a must.
• Knowledge of trouble ticketing systems, change control, Project processes and associated tools.
• Logical problem- solving techniques and associated experience in system, data center facilities, and telecommunications.
• Experience with project management.
• Financial Services industry knowledge a plus.

Interested candidates, please send over your resume to [email protected]

SPH Chinese Media Group Lianhe Zaobao Digital is seeking a talented Interactive / Data Visualization Developer to join our dynamic digital storytelling team. As a key member of our team, you will have the opportunity to shape the future of digital storytelling, influence our strategies, and grow with us as we explore new frontiers in interactive content. The ideal candidate will have a passion for creating engaging, visually compelling, and data-driven interactive experiences. You will collaborate with journalists and designers to turn real world projects / data into accessible and interactive narratives. Your work will play a key role in enhancing our storytelling capabilities and engaging our audience with rich, immersive content.

We value your potential for growth and advancement, and we are committed to supporting your professional development through continuous learning opportunities and challenging projects.

Your job responsibilities include:

• Designing and developing interactive data visualizations to support digital storytelling efforts.
• Ensuring visualizations are accurate, compelling, and aligned with the story's narrative.
• Collaborating with storytellers and designers to produce interactive elements in a story.
• Working with editorial and digital teams to interpret data sets and extract meaningful insights to drive a story.
• Partnering cross-functional teams to brainstorm and develop innovative storytelling approaches.
• Providing technical expertise and guidance on best practices for data visualization and interactive content.
• Optimizing interactive elements for performance and accessibility.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Science, Analytics or a related field; minimally 3 years of experience in data visualization, front-end development, or a related role (you will be required to submit a portfolio to showcase your experience in developing interactive and data-driven visualizations, highlighting projects that demonstrate your technical skills and creativity)
• Effectively bilingual in English and Chinese (written and spoken) as this role supports a Chinese Publication
• Proven experience with data visualization libraries and frameworks such as D3.js, Chart.js, or similar, and in web development technologies including HTML, CSS, JavaScript, and frameworks such as React or Angular would be advantageous
• Strong proficiency in data analysis and visualization tools; strong understanding of UX/UI principles and responsive design.
• Excellent problem-solving skills and attention to detail
• Ability to communicate technical information to non-technical audiences
• Kept up-to-date with the latest trends and technologies in the field
• Ability to work independently, as well as in a team to deliver under tight deadlines

DC Environment Support

• Shall monitor the facilities infrastructure in the DC to ensure that they are within the operating levels defined by the Customers.
• Power infrastructure (such as Uninterrupted Power Supply and power distribution boards);
• Cooling Infrastructure (such as computer room air-conditioning units);
• Fire detection and suppression systems (such as FM200, water sprinklers, fire extinguishers);
• Environment monitoring system (such as humidity and temperature); and
• Water leakage detection.
• Shall ensure the DC infrastructure is monitored on twenty-four (24) hours a day, seven (7) days a week, inclusive of Saturdays, Sundays and Public Holidays.
• The Vendor shall inform the Customer within one (1) hour when problems are detected.
• Shall work with the Customer and Customer-appointed Supplier to resolve any infrastructure issues detected in accordance to the support hours as required by the Customer.

DC Facilities Management Services

• Shall ensure, through daily inspection, that the general cleanliness and tidiness of the data centre are maintained by the Customer-appointed Supplier.
• Shall work with Customer-appointed Supplier on site preparation tasks such as network cabling and electrical wiring, when required.
• Shall ensure the network cabling in the data centre and within the racks are neat and tidy.
• Shall work with the Customer-appointed Supplier for both scheduled and ad-hoc maintenance, servicing, repair and upgrading works to the infrastructure at the Customer’s premises and premises identified by the Customer.
• Shall plan and coordinate the maintenance activities. This includes polling the affected parties, obtaining the Customer’s approval, and sending out messages to inform the affected party.
• Shall obtain the Customer’s approval before finalizing the plan for any activity.
• Shall provide on-site support during the maintenance activities unless otherwise agreed by the Customer.
• Shall maintain up-to-date documentation of the data centre design layouts.
• Shall manage the physical security of the data centre in accordance with the guidelines provided by the Customer.
• Shall monitor the following physical security infrastructure to ensure they are within the operating levels defined by the Customer

Requirements:

• Preferably Three (3) years of working experience in Data Centre Engineer Operations experience
• ITIL v4 Foundation Certification or equivalent

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow should possess relevant experience and will be conducting research on Data Security for LLM systems and work on Formal Methods Agents based on LLM.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and good publication record
• Strong programming skills

Manage Data Center facility including;

• Lighting check
• Airflow check
• Ensure racks are lock
• Ensure no condensation
• Door access are in operation
• Emergency exit path is obstruction free
• No safety hazard
• Coordinate with vendor requesting to access the Data Center for any repair, upgrade, or installation of equipment.
• Daily Routine DC healthy check (Such as temperature, humility, power, server, and network switch).
• Respond to Data Center incident such as power trip, fire alarm, water leak, high temperature etc and escalate or report to relevant party/personnel.
• Cabling and troubleshooting the networking cable.
• Monitoring of Server and Network availability status.
• Monitoring of server antivirus definition ensuring up to date and escalation if not so.

Monitoring of status of Data Center with DCIM.

Requirement:

• Must have minimum 2 years working experience as Data Center Operator.
• Please ensure that the contractor will be open to support 24x7 – 12 hours shift duty when required.
• Candidate is agreeable to enter construction environment site and follow the safety protocol (i.e. wearing safety, helmet, vest and shoe) when entering the site.
  *It will be a daily task (or as required) to enter the site.
• Candidate is agreeable to take Measles and Diphtheria vaccine.

About Us

SPH Media’s mission is to be the trusted source of news and lifestyle content in Singapore and Asia. One of our core purposes is to produce credible, balanced, and objective news and analysis, always with a view to uphold the public good and fostering an informed, engaged citizenry.

We welcome talented individuals to join us and grow a career in a vibrant and collaborative environment built around a culture of respect and inclusivity.

As an employer, we are committed to rewarding our people fairly and developing them in their careers.

About the Role

Temporary Data Entry Assistants

ZBSchools is looking for 2 data entry assistants to input exercise and mock exam questions into the new Chinese Content Management System.

• Duration: 2 months (25 November 2024 to 24 January 2025)
• Location: onsite at SPH Media Office, 1000 Toa Payoh North
• Working hours: Monday to Friday, 8.30am to 6pm
• Rate of pay: $10 per hour

Roles & Responsibilities

• Accurately input and update data in Chinese in the content management system
• Verify data for accuracy and completeness
• Must provide timely update on work progress and respond quickly to changes
• Training will be provided

Who we are looking for

• At least GCE O level
• Chinese language proficiency is compulsory
• Proven experience in data entry or a related field.
• Excellent attention to detail and accuracy
• Ability to work independently and as part of a team

Summary:

• Semiconductor, cleanroom
• Gross up to 3k+ with allowances and OT
• Guaranteed AWS
• Performance bonus
• Increment after probation (subject to performance)
• Completion bonus (1 year)
• Location: Kranji
• Work week: 4/3/4/3 (12 hours shift)

Key Responsibilities:

• Perform robot PM: parts cleaning & greasing, replacement of sensors, motors, motor drivers etc
• Installation of vacuum valves, fore line pipes, heater jackets
• Support tool owner engineer to do technical activities in fab: trouble shoot, modification, installation, de-installation
• Support 6S & logistic activities (parts cleaning, arrangement, label-ling, housekeeping
• Other related ad hoc duties

Key Requirements:

• Min Nitec in engineering
• No experience welcome to apply!

Interested applicants, please submit your updated resume in MS Words format by using the APPLY NOW BUTTON.

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

Please be notified that only shortlisted candidates will be notified.

Your recruiter for this job: Stella

WhatsApp me @ 8772 4117 for a prompt response to your enquiry!

Stella Aw Yong See Hui | R24121552

Recruit Now Singapore Pte Ltd | EA No: 21C0845

Product area

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

Job description

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

Qualifications

Job responsibilities

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Learn and apply skills in repairing and troubleshooting different machine platforms.
• Participate in complex troubleshooting and resolve critical technical issues.
• Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other networking gear. Configure and troubleshoot Linux OS-related issues.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• Experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.
• Experience Data Centers, Linux, Hardware, Networking, OSI Model, Written Communication, Teamwork, Communication.

Preferred qualifications

• Experience in maintenance of server systems.
• Experience working within a data center or network operation center environment.
• Experience with troubleshooting hardware and network issues using Linux tools.
• Knowledge in Networking, including topology and protocol understanding.

Summary

We are seeking an AI/ML Researcher to lead the research and development of large language models (LLMs) solutions. The ideal candidate will have a minimum of 2 years of experience in NLP research and a deep understanding of core LLM components, including LLM modeling, information retrieval, entity-relation extraction, agentic frameworks, and reasoning. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative LLM solutions. Responsibilities include designing and conducting scientific experiments, utilizing NLP techniques and LLM core components to develop novel LLM solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should have excellent communication skills, a strong work ethic, and a passion for delivering high-quality, innovative solutions.

Responsibilities:

• Leading in designing the research and experiment methodology, specifically in LLM core components.
• Conduct independent research and report experiment results, research findings to stakeholders, e.g., ...
• Collaborate with engineering team in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training,
• Utilize analytical techniques to extract meaningful insights from large datasets
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• Publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.

Requirement:

• PhD or Master degree in Computer Science, Computer Engineering, Statistics, Engineering, or related field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, vulnerabilities in LLM, etc....
2. Generative AI, specifically in generating synthetic data.

• Demonstrate an analytical mindset with adept problem-solving skills.
• Keep abreast of the latest advancements in program-related techniques and methodologies,
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Strong communication and organizational skills.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.

Responsibilities Of The Role

• Directly contributes to the design and development of scaled Data Science algorithms.
• Applies technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms.
• Quantifies improvement in business areas resulting from u algorithms. Works with Data and Software Engineering teams to productionize algorithms
• Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.

Job Qualifications

• At Least Bachelor Degree in Analytics, Data Science or related field.
• 1+ year of experience in Python, Cloud and ML Alorithms
• Hands on Machine Learning project experience by Python
• Good understanding about Data Analytics and Business Intelligence
• Exposure in model validation, back-testing, and other model risk management activities.
• Proven Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics, Data Modeling, and Optimization.
• Strong written and verbal communication skills to influence others to act
• Ability to balance multiple priorities
• Good social skills, self-motivated, dynamic and can-do attitude
• Strong enthusiasm and curiosity about the intersection of business and technology

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

Colorectal cancer (CRC) is the third most common cancer globally. Development of therapeutic strategies targeting novel cell types is the need of the hour for CRC treatment. We are looking for candidates keen on working at the intersection of cancer biology, imaging, spatial omics and computational biology to correlate results from cutting-edge technologies to clinical outcome of colorectal cancer (CRC). They should be comfortable working in a highly collaborative, multidisciplinary environment that includes biologists, imaging technologists, pathologists and medical oncologists. This will be a unique opportunity to work on new data types and ask new questions in the rapidly growing field of spatial multi-omics.

Requirements

• PhD (in final year or thesis submitted) in Life Sciences with expertise in cancer biology, immunology, or related fields
• Experience with analysis and interpretation of single-cell and spatial omics data
• Strong communication skills
• The ability to work closely with clinicians and computational biologists

To apply, please email your CV and names of references to [email protected], [email protected]

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.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.

As part of our team, you can look forward an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.

https://nusit.nus.edu.sg/

Job Description

NUS IT is the IT department of NUS, we develop solutions that are used by students, staff, as well as other visitors that serve to further NUS education needs and vision.
We are seeking an experienced Data Architect to oversee technical data architecture in NUS.
The role will manage the technical architecture of our data platforms as well the solution architecture of data related solutions. This role will also champion the proper implementation and adherence to best practices across all stages of the data platform delivery lifecycle.
This is a hands-on individual contributor role and the candidate should have recent hands-on development experience.

Duties and Responsibilities

Data Platform Technical Architecture

• ​Create, manage, and document optimal data pipeline architecture.
• ​Understand technical architecture of data related platforms and provide advisory to other teams.
• ​Build the infrastructure required for optimal extraction, transformation, and loading of data from data sources.
• ​Create, manage, and document data pipelines in the data pipeline solution and keep them in line with business needs.

​Data Solutions Architecture

• ​Design the solution for a modern data platform, including aspects like master data management, data lakehouse, data pipelines.
• ​Design best practices for data related implementations.
• ​Define and champion the direction for data platforms and their technologies, including their framework, architecture, standards, and guidelines.

Technical Expertise

• ​Stay updated about of emerging technologies and industry trends in order to drive innovation within our organization.

​Organizational Collaboration

• ​Provide technical guidance and expertise to teams, helping to solve complex technical challenges.
• ​Collaborate with engineering teams, fostering a culture of innovation, collaboration, and excellence.
• ​Provide direction and guidance to teams (both inside and outside of NUS IT) on working with the data platform.
• ​Collaborate with university departments on any technical solutioning required to support data platform requirements.

Qualifications

• ​Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• ​Minimum of 8 years of experience with a focus on data platforms architecture and engineering.
• ​Proven ability to work with cross-functional teams, promoting collaboration and achieving the objectives of programme and initiatives.
• ​Exceptional problem-solving and critical-thinking skills, with a track record of effectively addressing technical challenges and risk mitigation.
• ​Demonstrated strategic thinking and planning abilities, capable of aligning technical projects with organizational goals and market demands.
• ​Relevant experience in designing, developing, and supporting data platforms, having successfully completed projects in data projects delivery.
• ​Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors.
• ​Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit.

​Technical Expertise

• ​Strong working experience in end-to-end development of data lakes and data warehouses, preferably with experience in Informatica.
• Working experience in Azure cloud.
• ​Strong working experience in Azure Fabric – specifically Data Factory, Data Engineering, OneLake (Data Lake Storage) and Data Warehouse.
• Good working experience knowledge of master data management.
• ​Working experience in big data and DataSecOps is an added advantage.
• ​Experience in MS SQL and Oracle, including querying and tuning large, complex data sets and performance analysis is preferred.

Get to Know the Team

As an engineer at Grab, you'll help shape the heart and soul of the company. Our team's mission is to create amazing services and tools that impact hundreds of millions of consumers, driving partners, and fellow Grabbers every day.

The applications we develop are core to our business. Your contributions will touch millions of lives, and you'll be recognised when you exceed our high expectations. You'll work in an international team of experienced developers who prioritise quality and new ideas. In our agile, test-driven development environment, you'll not only build new features and platforms but also evaluate the latest in mobile technology.

We're constantly improving our food delivery and supermarket platforms, handling tens of millions of bookings daily. New code reaches hundreds of millions of users quickly. You'll enhance features for our consumer and delivery-partner facing app, focusing on Deliveries, but we'll always welcome your fresh ideas. You'll work on one of the largest codebases in Southeast Asia, making an impact.

Get to Know the Role

As Senior Data Scientist, you will build models and services that manage millions of requests daily and develop predictive models to improve dispatch decisions according to market conditions. You will report to the Senior Engineering Manager. This role is based onsite in Singapore.

The Critical Tasks You Will Perform

• Design and fine-tune the systems using machine learning algorithms based on the product requirement. You will choose appropriate algorithms, preparing and cleaning data, training and testing models, and optimising their performance.
• Design and implement A/B test. Generating training datasets for ML models and collecting feedback from the A/B experiments.
• Lead the CI/CD deployment pipelines.
• Develop data related APIs for application integration.
• Collaborate with other team members and engineers.

Qualifications

What Essential Skills You Will Need

• At least 3 years of industrial data science experience, with expertise in machine learning and statistical modelling.
• Programming skills in languages such as Python, Java and R.
• Experience with machine learning libraries and frameworks such as TensorFlow, PyTorchetc.
• The knows how to and loves to build recommendation models
• The ability to write production ready code
• Experience with statistical concepts and machine learning algorithms.
• Experience with data wrangling, cleaning, and analysis.

Get to Know the Team

When you’re an engineer at Grab, you'll help shape the heart and soul of the company. Our team's mission is to create amazing services and tools that impact hundreds of millions of consumers, driving partners, and fellow Grabbers every day.

The applications we develop are core to our business. Your contributions will touch millions of lives, and you'll be recognised when you exceed our high expectations. You'll work in an international team of experienced developers who prioritise quality and new ideas. In our agile, test-driven development environment, you'll not only build new features and platforms but also evaluate the latest in mobile technology.

We're constantly improving our food delivery and supermarket platforms, handling tens of millions of bookings daily. New code reaches hundreds of millions of users quickly. You'll enhance features for our consumer and delivery-partner facing app, focusing on Deliveries, but we'll always welcome your fresh ideas. You'll work on one of the largest codebases in Southeast Asia, making an impact.

Get to Know the Role

We are looking for individuals with experience working within distributed environments to join our big data engineering group. You will report to the Senior Engineering Manager and be based onsite in Singapore. You will automate multiple big data flows, performance engineering, and building the internal big data pipeline platform to maintain the quality of our critical data. We offer the opportunity to work with a world-class engineering team managing petabytes of data in Southeast Asia.

The Critical Tasks You Will Perform

• Design the data warehouse schema in Bigquery and also be able to write code to process data from heterogeneous sources like APIs, PubSub, Transactional Databases.
• Lead, design, develop and manage data pipelines on the data ecosystem.
• Be hands on development in designing and developing ETL/ELT processes to ingest data into the data warehouse with focus on data quality and profiling.
• Participate in collaborations in external and team members and build SLAs.
• Take ownership of not just the Data Platform but also building the right
• Practise to lead the way forward for the team.
• Collaborate across teams and translate the requirements into actual workable
• Technical solutions.
• Ensure data quality and governance and participate in code reviews with focus on high quality technical documentation.

Qualifications

What Essential Skills You Will Need

• Bachelors/Masters in mathematics, computer science or other related quantitative discipline.
• 5+ years experience in data engineering roles.
• Familiarity with Hadoop, Hive, HBase, Spark, Flink, Airflow, Kafka, and Cloud software such as
• Redshift, EMR, BigQuery, Dataflow, Cloud Composer, BigTable, PubSub etc.
• Exposure to big data solutions from various data sources such as AWS, GCP, Microsoft Azure, Alibaba Cloud.
• Familiar with CI/CD and automating the deployments from dev to staging to production
• platforms.
• Experience with Data Warehouse concepts - Fact/Dimension Tables, CDC, SCD,
• partitioning and bucketing strategies.
• Proficient in writing complex SQLs, and experience in at least anyone of Java/Python/Golang.
• Experience in Metadata management, data discovery and creating data lineages.
• High personal code/development standards (peer testing, unit testing, documentation, etc).

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

About the role:

As a Data Engineering Intern at Rapsodo, you’ll play an essential role in building and optimizing the data infrastructure that powers decision-making and innovation throughout our organization. This role is ideal for students passionate about data engineering, with a foundational knowledge of data analytics to support meaningful insights. You’ll gain hands-on experience with cutting-edge technologies, applying your skills to bridge data engineering and analytics, and making an impact on projects in sports technology and business strategy.

Key Responsibilities:

· Participate in the design, development, and maintenance of Rapsodo’s data systems, using tools like Google BigQuery, Kafka, and GCP Pub/Sub.

· Support data ingestion, processing, and ETL (Extract, Transform, Load) processes to deliver reliable data for analytics teams.

· Collaborate with data analysts and scientists to ensure clean, structured data is available for analysis, reporting, and visualization.

· Assist in the setup and monitoring of real-time data pipelines, learning to identify ways to streamline data ingestion and reduce latency.

· Work on data collection, cleaning, and preprocessing, preparing data for analytics and helping generate insights for diverse projects.

· Collaborate with the team to troubleshoot and improve data pipeline and infrastructure efficiency.

· Create basic reports, dashboards, and visualizations with tools like Tableau or Power BI, conveying valuable insights to business stakeholders.

Requirements:

· Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field.

· Knowledge of SQL and familiarity with Google BigQuery or other data warehousing solutions.

· Exposure to programming languages such as Python or R and experience with data manipulation, cleaning, and preprocessing techniques.

· Interest in or exposure to data streaming technologies (e.g., Kafka, GCP Pub/Sub) and ETL development.

· Basic understanding of statistical analysis and hypothesis testing to support data-driven insights.

· Experience with data visualization tools (e.g., Apache Superset, Tableau, Power BI, or Matplotlib) is a plus.

· Excellent written and verbal communication skills.

· Strong analytical skills, attention to detail, and problem-solving abilities.

· Strong interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.

· An inquisitive mindset, coupled with a desire for continuous learning and growth.