Total 10,143 Others/Any data entry clerk job vacancies in Singapore

Summary:

• Basic up to $3500
• Location: East (Tai Seng)
• 5 Days, Office hours
• Attractive employee benefits

Responsibilities:

• Create, edit, and maintain comprehensive technical documentation, including instruction manuals and installation guides.
• Develop and uphold documentation templates, systems, and standard operating procedures (SOPs) to ensure uniformity and clarity across all materials.
• Collaborate with engineers and product managers to gather and analyze information on freezer or cooking machinery and associated software.
• Simplify complex technical concepts and instructions into easily understandable language for technicians and engineers.
• Participate in cross-functional teams from Europe and America to ensure effective documentation of new machinery features and software updates.

Requirements:

• Basic knowledge of Autocad and Solidworks is advantage
• Min Diploma or Degree in mechanical engineering or similar discipline

Please submit your updated resume in MS word format by using the APPLY NOW BUTTON.

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Jasmine Wong (R22107578)

Who we are

Nomura is a global financial services group with an integrated network spanning approximately 30 countries and regions. By connecting markets East & West, we service the needs of individuals, institutions, corporates and governments through our three business divisions: Wealth Management, Investment Management and Wholesale (Global Markets and Investment Banking).

Driven by the insights of some 26,000 people worldwide, we put our clients at the center of everything we do, delivering unparalleled access to, from and within Asia. For further information about Nomura, visit www.nomura.com

About our team

Chief Data Office (CDO) is the central data and analytics arm that works closely with the Businesses and Corporate functions to enable the execution Nomura’s data strategy. We help the firm implement robust data standards & governance, actionable performance metrics & MIS, high impact information and analytics products and solution.

CDO is a fast-growing team within Nomura focuses on 3 main pillars – Governance, Develop, Operationalize. Governance pillar works with data owners, stewards, custodians and consumers to improve data and digitalisation capabilities for pre-emptive risk management and controls management. Develop pillar designs, develops and delivers analytics solutions and enhancements to support digital and analytics transformation. Operationalize pillar works with business to design, deliver and operationalise data transformation product and solutions.

About the Full Time Analyst Program

The Graduate Analyst Program is a full-time program commencing in July 2026. Being part of our 18-month Graduate program, you will work in the Chief Data Office (CDO) to gain in-depth knowledge in driving the development of information and analytics products for data and digital transformation across Nomura Group.

During the Program, you will get the exposure to rotate across the 3 pillars within CDO and understand how each pillar works together to make impact to the various parts of Nomura. You will also work on key analytics initiatives across multiple disciplines with the guidance and mentorship from experienced data professionals.

About the 2025 6-month Internship Program

The 6-month internship program will commence in January / July 2025 in our Singapore office. During the program, you will gain first-hand experience and insights in how CDO drives the development of information and analytics products for data and digital transformation across Nomura Group. You will have the opportunity to feel our culture, acquire valuable on-the-job training and expand your network. This program is a key pipeline for our Graduate Analyst Program.

You will get to:

• Understand of financial services, especially wholesale and investment banking

• Expose to data driven decision making by corporate functions - Risk, Legal and Compliance, Real Estate and Services, Human Resources, Finance

• Gain experience with cloud computing and data warehousing on the cloud through AWS and Snowflake

• Apply statistical techniques in real world scenarios

• Expose to corporate culture in a global organization and team

Your responsibilities include:

• Build econometrics & machine learning solutions to solve business problems

• Build data pipelines both on-premise and on the cloud

• Build and manage data visualization using PowerBI or other similar tools

• Work with Data Scientists and Engineers to deploy solutions to development/production environment

• Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models

• Communicate key results to senior management in verbal, visual, and written media

Please visit our Career website for more details: https://nomuracampus.tal.net/vx/lang-en-GB/mobile-0/appcentre-1/brand-4/xf-31f75f6323a1/candidate/so/pm/1/pl/1/opp/1101-2025-Chief-Data-Office-CDO-6-month-Internship-Program-Singapore/en-GB

About You

At Nomura, our goal is to attract and develop exceptionally talented people who share our passion for individual excellence and our commitment to teamwork. We are looking for individuals with outstanding academic and extra-curricular achievement, who will be able to withstand the rigors of a rapidly changing, demanding but ultimately rewarding environment.

We look for team players who are curious with strong quantitative skills and a keen interest in business and finance. Other common traits amongst our team are intelligence, curiosity, diligence, integrity and the willingness and capability to thrive under a challenging environment.

Due to the job nature, additional requirements are:

• Studying in quantitative fields, such as Computer Science, Data Science, Statistics or related disciplines would be advantage

• Intellectual curiosity to solve data driven problems

• Exposure & hands-on experience in executing data analysis using tools such as Python, R, SQL, PowerBI etc.

• Exposure to statistical methods, familiarity with Machine Learning methods is a nice to have

• Exposure to cloud tools such as AWS is nice to have, but not a must

• Ability to understand complex business and data systems

• Ability to clearly communicate complex results to technical and non-technical audiences

• Versatility and willingness to learn new technologies on the job

Eligibility

We welcome diversity in our teams and would encourage students from all background and disciplines who are in your penultimate year of study to apply. Candidates applying for this 6-month Internship program must be available to commit for the entire duration of the program (January – June 2025 / July - December 2025) and commence for Graduate Analyst Program in July 2026. Fluency in written and spoken English is required.

Application Deadline

Please apply before 11:55pm, Thursday 31 October 2024 (SGT)

For inquiries, please email [email protected]

Please note that you can only apply to one opportunity globally per academic year. We review applications on a rolling basis and interviews can be arranged prior to the application deadline. We encourage you to apply as soon as you are ready.

Job Responsibilities

• File and organize documents
• Order office supplies
• Help with basic data entry and paperwork

Requirement:

• Min Diploma in any course

All qualified applicants, please click “ APPLY NOW”

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Position title : Administrative staff

Location: Tagore Lane S787502 (Shuttle bus service from Ang Mo Kio mrt station)

Working Days: 5.5 days alternate (after probation can WFH on Sat)

Working hours : 9am - 6pm ; 9am-1pm (after probation can work from home on Sat)

Salary : Up to S$2500

Job Scope

• Handle simple bookkeeping
• Update system, simple emails & phone calls
• Data entries and financial records
• Provide insurance administrative support and tasks as assigned

Requirement

• Minimum Diploma holder
• Preferably min 1-year relevant experience ; bookkeeping knowledge and good at administrative work
• Able to start work at short notice

Interested Personal kindly contact WhatsApp :+65 8833 7969(Lydia)

OR

Email to : [email protected]

Lydia Chieng Zhi Yee Reg No: R1988890

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Responsibilities:

• Work closely with managers to determine the organization's blockchain technology needs and envisaged functionalities.
• Create application features and interfaces using programming languages and wrtie multithreaded code.
• Utilize the latest cryptogy techniques to protect digital transaction data against cyberattacks and information hacks.
• Handle client and serverside applications, ensuring their smooth applications.
• Document blockchain development processes and comply with best practices in data protection. Keep up with current blockchain technologies and crypotography methods.
• Other tasks assign by the Company.

Requirements:

• Bachelor's degree in information security, computer science, or a related field.
• at least 2 years of experience as a blockchain developer.
• Advanced proficiency in programming languages such as c++, java
• Familiarity with blockchain protocals.

Main Duties and Responsibilities

- Contact customer to obtain sales order

- Administrative duties (input invoices, give quotation, send monthly statement to customers & etc)

- Follow up with customer for late payment

- Attend to phone calls

3) Working Hours and Rest Days

Hours of work – 5.5-day work week (44 hours per week, excluding lunch hour)

- Only Sunday is non-working day

- Public Holiday is compensated with Friday off

Please contact 65702522 if interested

• Good Bonus - AWS + up to 6 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply

• Entry level / Junior / Senior / No experience welcome apply X 3 Opening

• Full training provided

Responsibilities:

§ To manage and execute EMS/DMS SCADA projects and service contracts

§ Carry out routine and corrective maintenance, software enhancement, bug fixes, testing and commissioning to meet contractual requirements

§ Ensure smooth and proper execution of projects/contracts

Requirements:

§ Diploma/Degree in Electrical/Electronics/Computer/Software Engineering from a recognised Polytechnic/University

§ Preferably have some working experiences in executing /maintaining of SCADA and Substation Automation System.

§ Strong software skills.

§ Knowledge of UNIX OS and C, C++, Java programming language.

§ Our benefits and compensation for permanent position are as follows:

§

§ Salary for experience candidates will be considered based on the years of experience and our internal salary structure

§

§ 1 month AWS

§ Variable Bonus ranging from 1 to 6 months depending on individual and company performance

§ Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

§ Working days: Monday to Friday (1 day work from home per week)

§ Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

§ 18 days up to 21 days for executive (Engineer and above)

§ Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

§ Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

§ Term Life

§ Personal Accident

§ Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

§ Flex Dollars of $500 per financial year

§ Free annual year-end Health Check-Up

§ Monthly Birthday Party Celebration

§ Monthly Sports Activities

§ New Born Gift

§ CSR Initiatives

§ Department Bonding Activities

§ Biennial team building and staff appreciation dinner

§ Gym Corner for employees to exercise

§

§ Good Pay + Good allowance + Good Bonus

§ Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

§ Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Applied Materials is a leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. Our innovations make possible™ the technology shaping the future. We are looking for a Data Scientist to support our Data Analytics team in the Legal Department promoting legal, technical and commercial initiatives across the company’s business activities. The position is located at Applied Materials Singapore.

Principal Duties & Responsibilities

Primary responsibilities involve analyzing highly complex data to drive impactful business decisions for clients across Applied’s business. You will by collaborate globally across Applied’s legal, engineering, product development, business and marketing groups to understand their business challenges, convert the challenges into data analytics problems, identify appropriate metrics, design/develop models, design dashboards and other interactive data visualization to result in tangible analytics insights.

In addition, you will identify new areas of opportunity for the legal department by automating business workflow, developing forecasting models and making recommendation on emerging technologies such as new digital analytics tools and GenAI.

Qualification & Work Experience

• Bachelor degree or higher in a relevant field such as computer science, data science, business intelligence, statistics, mathematics, physics, engineering or a related field
• At least 2 years’ experience with converting real-life business challenges into data analytics problems, leveraging state-of-art techniques to solve the problems, and explaining complex data analytics methodologies to non-technical stakeholders
• Preferred experience in structural querying languages (e.g. MySQL, PostgreSQL), data preprocessing languages (e.g. R, Python) and big data processing tools (e.g. Hadoop, Spark)
• Preferred experience in extracting/integrating structured & unstructured data (e. e.g. text, documents)
• Preferred experience in development & deployment of data visualization dashboards to track business metrics (e.g. Tableau, Power BI)
• Experience in development & implementation of machine learning models (e.g. random forecast, gradient boosting, transformers), experience with NLP & LLM is advantageous
• Experience in design and/or introduction of process automation solutions (e.g. Uipath, MS Power Platforms) to streamline operational workflow is advantageous
• Familiarity with designing & conducting statistical analysis (e.g. A/B test, Hypothesis test)
• Familiarity with data analytics techniques such as cloud computing, CI/CD, data security

Skills & Competencies

• Strong fundamentals of applied data science in a business setting
• Strong ability to distill complex scientific and technical concepts into actionable analysis
• Capability to communicate data science solutions to business and/or non-technical stakeholders
• Strong analytical capability, ability to think critically and possessing learning agility to quickly attain understanding of new technology areas
• Proactive, thorough, working with high accuracy and attention to detail with good time management
• Adaptability to changing priorities and project focus while remaining flexible in shifting conditions
• Ability to work effectively with people from a variety of culturally and scientifically diverse backgrounds and collaborate effectively with other team members

Work Location

• Science Park II (Alpha building)

We are seeking an experienced and skilled Procurement Manager to join our dynamic team. In this role, you will be responsible for sourcing required materials, services and suppliers in both domestic and international markets. You will play a critical role in managing procurement activities, ensuring cost efficiency, and maintaining compliance with procurement policies and procedures.

Job Responsibilities

• Source for required materials, services, and suppliers in the domestic and international market.
• Understand purchase requirements and source accurately and efficiently.
• Identify and engage with global prospective suppliers to foster beneficial relationships.
• Understand market trends and seek to improve cost efficiency.
• Perform daily procurement activities such as RFQ/RFP, negotiation of commercial terms, quotations evaluations and recommendations.
• Coordinate procurement related matters with requestors and vendors.
• Prepare and conduct tender process.
• Propose new vendors and evaluate existing vendors.
• Contracts management.
• Working with legal counsel to review and prepare contractual documents.
• Address procurement related queries from internal management and stakeholders.
• Develop and implement procedures and processes, based on best practices, to ensure smooth and streamlined process.
• Ensure compliance with procurement policies and procedures.
• Other duties and responsibilities as may be reasonably requested by your immediate supervisor / the head of department from time to time.

Job Requirements

• Degree in Supply Chain Management, Procurement, Quantity Surveying, Business, Engineering, or a related field.
• A minimum of 7 years of relevant experience, preferably in a Procurement Department within the Construction, Data Centre, or Network industry.
• Strong knowledge of SAP MM (Materials Management).
• Exceptional interpersonal and communication skills.
• A proactive team player who can work collaboratively to achieve organizational goals.
• Capable of working independently with strong negotiation skills.
• Detail-oriented, analytical, and possesses excellent problem-solving abilities. Excellent team member, proactive in managing issues and possess sense of responsibility and ownership in his/her work and results.

• Supervise the loading, off-loading of goods from shipping containers and stacking of the goods in the receiving and dispatching area.
• Tally all goods and match them with shipping invoices and packing orders to ensure the accuracy of incoming and outgoing shipments.

Requirments:

• At least 1 year of working experience
• Detail oriented and with special attention to accuracy and timely reporting.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R21100996

ARE YOU LOOKING FOR A ROLE THAT REWARDS YOU?

WE want YOU ❗️

We specialize in representing local and international brands from different sectors. We assist them to engage directly to the market for their products and services through face to face.

Here we will provide you a place that fosters innovation, fun and excellence.

You get the freedom to be around people with good vibes, have the time for development and traveling with the company.

· We are hiring Entry level/ Junior Software Developer, who is passionate about software programming.

· Polytechnic Diploma in Computer Science, information technology, Software Engineering, or related discipline.

· Exposure to programming skills during academic projects or internship assignment.

· Fresh Graduates or experienced professionals in Software programming.

· Should have strong interest in software programming.

· Should have basic knowledge in ServiceNow Platform.

· Strong analytical /problem solving skills.

· Good communication skills – verbal and written, Good Team Player.

· Good learning attitude and willing to take up challenges

· Well-organised and attentive to details

As Data Centre Engineer, need to police and set up the DC according to what we need, able to provide technical advice in facility management, manage DC service provider and work with project manager to do UAT and build the data center.

Roles and Responsibilities:

• DC Facilities / Preventive Maintenance

• DC Rack, Network Cabling, and DCFM Operation Management

• Liaise and work directly with stakeholders, DC Op Managers and/or DC Service Facilities providers for purpose of project delivery and maintenance support.

• Liaison with DC Provider/ vendor with regards to utilities, building services / facilities and systems issues, which include Data Center Infrastructure Management DCIM support, Key management system and maintenance.

• Administrator for preventative maintenance programs to ensure that DC provider carry out the facilities maintenance.

• Proactive monitoring of the Environmental System Alerts in the Data Centres to ensure they are operating within acceptable level and to escalate promptly to the relevant authority or third-party vendors to rectify any defects alerted.

• Monitor and optimise Power Usage Effectiveness (PUE) and overall power consumption within the data centre, ensuring the efficiency of servers and racks meets target power consumption levels.

• Ensure DCIM systems are operating as designed to protect the data center, capture power usage, calculate available capacity, and provide meaningful, timely alarms, notifications, and reports.

• Propose continuous improvement initiatives with recommendations to strengthen IT governance & compliance, increase efficiency on work quality and processes.

• Support design planning and space allocation for prospective Colo and Private cloud service hosting. Recommend acquisition of new technology to enhance DC operational efficiency.

• Support DCFM on matters pertaining to all Data Center (DC) projects; this include making arrangement and attend site surveys with vendors, supplier and business Product and suggest feasible solutions to ensure DC’s requirement are addressed or met.

• Support the management of works conducted within the Data Centres such as site preparation, site survey, network cabling, electrical wiring, air-conditioning, building power supply (including power generator) tests, on-site/off-site standby activities etc

• Establish work schedule, monitor work progress on site, examine and certify works done, and to attend Factory Acceptance test, Site Acceptance test and Integrated System Test, if any.

• Support and oversee new data center project fit-out, additions & alterations works, including SIT/ UAT testing.

• Ensure project closure and hand over with as-built drawings, schematics and reports, including commissioning of assets. This include witness key commissioning tests on site

• Enforce adherence to established procedures (SOPs, MOPs, EOPs, PTWs, RAs) and change control processes for all data center maintenance activities.

Reporting and Analysis:

• Establish operational and performance benchmarks, analyze data, and prepare reports on all aspects of facility operations and maintenance.

• Generate monthly progress reports and track deliverables.

Requirements/ Qualifications:

• Bachelor of Computer Engineering or equivalent

• Have at least six (6) years of working experience in Data Centre Facility Management/Environment,

• Have at least three (3) years of experience in leading a team in a similar capacity.

• Excellent vendor management skills and comfortable to travel around different data centers

• Possess broad-based knowledge and skills in the areas of building technology, mechanical and electrical services and facilities management.

• Good knowledge and understanding of Data Centre infrastructure systems with experiences working on mission critical systems such as UPS, Chiller, CRAC, Thermal /Fan Wall Cooling , Electrical HT/LT, Fire Protection, Water Detection systems, Fire Suppression systems, PDU, CCTV systems, Card Access systems etc.

• Have good working knowledge for best practices in fire/workspace safety, management, control, and operating a Data Centre hosting services

• Proficient in Rack and Stack Tasks/ Planning, analysis and forecasting under Data Centre Infrastructure Management (Able to allocate racks efficiently – plan and relocation experience – power usage optimisation)

• Must possess relevant experience in DC facility management and vendor management.

• ITIL Foundation V4 certified, and Possess Data Centre Certifications such as CDCP and CDCS

• Working experience in managing & supporting DCIM system; Struxureware Data Center Expert (DCE) Struxureware Data Center Operations (DCO) and IT Advisor (ITA) in support of new data center deployment, and retrofits.

• Inclination & passionate to automate routine tasks to drive operational efficiency.

• Familiar with ISO 9001, and I

Primary Job Description

• Develop, implement, and maintain optimization models to solve complex business problems related to resource allocation, scheduling, supply chain management, and other operational areas.
• Identify optimization opportunities within the business and design custom algorithms to address them.
• Collect, clean, and preprocess large datasets from multiple sources.
• Build and validate predictive models using statistical, machine learning, and optimization techniques.
• Conduct exploratory data analysis to uncover trends, patterns, and insights that inform optimization strategies.
• Work closely with stakeholders to understand business objectives, constraints, and requirements.
• Collaborate with cross-functional teams (e.g., engineering, product, operations) to integrate optimization solutions into existing systems and processes.
• Present findings, insights, and optimization strategies to both technical and non-technical audiences.
• deep dive into the business domain to apply appropriate optimization techniques based on the hypotheses made and be able to express clearly the findings to stakeholders.
• Develop and deploy optimization tools, dashboards, and visualizations that enable business users to interact with and leverage optimization solutions.
• Ensure the scalability and robustness of deployed solutions in a production environment.
• Stay updated with the latest advancements in optimization techniques, algorithms, and tools.
• Continuously improve existing models and processes by incorporating new methodologies and technologies.
• Document all stages of the optimization problem-solving process, including data preparation, model development, and results.
• Produce regular reports that detail the impact of optimization solutions on business outcomes.

Qualifications And Experiences

• Bachelor/Master Degree degree in Data Science, Operations Research, Mathematics, Computer Science, or Statistics or similar quantitative field.
  • Strong proficiency in programming languages such as Python, R, or Julia, with a focus on data manipulation and model development.
  • Experience with optimization libraries and tools (e.g., Gurobi, CPLEX, OR-Tools, Pyomo).
  • Knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, Scikit-learn) and how they integrate with optimization models.
  • Experience with data processing tools and frameworks such as SQL, Pandas, and NumPy.
  • Proficiency in data visualization tools (e.g., Looker, Tableau, Power BI, Matplotlib) to present findings and optimization outcomes.
  • Experience with cloud computing platforms (e.g., Google Cloud, AWS,) and deploying optimization solutions in the cloud.
  • Familiarity with big data technologies (e.g., Hadoop, Spark) and their application in large-scale optimization problems.

Interested applicants, please Email , and look for

Jensen Fang Lifa, [email protected]

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.

- 1-year contract (renewable / convertible)

- ONE office at Marina ONE

- Hybrid Work

- Monday to Friday: 9am – 6pm (2 days WFH)

- Up to $6,500

Job Responsibilities:

• Develop, implement, and maintain optimization models to solve complex business problems related to resource allocation, scheduling, supply chain management, and other operational areas.
• Identify optimization opportunities within the business and design custom algorithms to address them.
• Collect, clean, and preprocess large datasets from multiple sources.
• Build and validate predictive models using statistical, machine learning, and optimization techniques.
• Conduct exploratory data analysis to uncover trends, patterns, and insights that inform optimization strategies.
• Work closely with stakeholders to understand business objectives, constraints, and requirements.
• Collaborate with cross-functional teams (e.g., engineering, product, operations) to integrate optimization solutions into existing systems and processes.
• Present findings, insights, and optimization strategies to both technical and non-technical audiences.
• Deep dive into the business domain to apply appropriate optimization techniques based on the hypotheses made and be able to express clearly the findings to stakeholders.
• Develop and deploy optimization tools, dashboards, and visualizations that enable business users to interact with and leverage optimization solutions.
• Ensure the scalability and robustness of deployed solutions in a production environment.
• Stay updated with the latest advancements in optimization techniques, algorithms, and tools.
• Continuously improve existing models and processes by incorporating new methodologies and technologies.
• Document all stages of the optimization problem-solving process, including data preparation, model development, and results.
• Produce regular reports that detail the impact of optimization solutions on business outcomes.

Period:

• 1-year contract (renewable / convertible)

Location:

• ONE office at Marina ONE

​Working hours:

• Monday to Friday: 9am – 6pm with hybrid work arrangement (3 days work in office and 2 days work from home)

Salary:

• Up to $6,500

Job Requirements:

• Bachelor/Master Degree degree in Data Science, Operations Research, Mathematics, Computer Science, or Statistics or similar quantitative field.
• Strong proficiency in programming languages such as Python, R, or Julia, with a focus on data manipulation and model development.
• Experience with optimization libraries and tools (e.g., Gurobi, CPLEX, OR-Tools, Pyomo).
• Solid understanding of optimization techniques, including linear programming, mixed-integer programming, and heuristic methods.
• Knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, Scikit-learn) and how they integrate with optimization models.
• Experience with data processing tools and frameworks such as SQL, Pandas, and NumPy.
• Proficiency in data visualization tools (e.g., Looker, Tableau, Power BI, Matplotlib) to present findings and optimization outcomes.
• Experience with cloud computing platforms (e.g., Google Cloud, AWS,) and deploying optimization solutions in the cloud.
• Familiarity with big data technologies (e.g., Hadoop, Spark) and their application in large-scale optimization problems.
• Strong problem-solving skills with the ability to approach complex optimization problems in a systematic and creative manner.
• Ability to perform deep data analysis and derive actionable insights from complex datasets.
• Strong mathematical foundation in areas such as linear algebra, calculus, and probability, which are essential for understanding and developing optimization models.
• Excellent communication skills with the ability to explain complex optimization concepts to non-technical stakeholders.
• Strong project management skills with the ability to prioritize tasks and manage multiple projects simultaneously.
• Ability to work independently and as part of a team, with a proactive approach to identifying and solving problems.
• 2+ years of experience in data science, with a focus on solving optimization problems. Experience in industries such as logistics, manufacturing, finance, or tech is preferred.
• Demonstrated experience in leading optimization projects from conception to deployment, including model development, validation, and implementation.

Interested applicants, kindly email your detailed resume (MS Word format is preferred):

[email protected] (Reg No: R1549023)

Please ensure that applications sent through email are no bigger than 1Mb.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

Success Resource Centre Pte Ltd (EA License Number: 04C3201)

3 Shenton Way, Shenton House #19-01 Singapore 068805

T: 6337 3183 | F: 6337 0329 | W: www.successhrc.com.sg

The Data Engineer, as part of the Corporate AI Lab and Incubator, will support the development and maintenance of the global AI sandbox, development of cutting-edge AI solutions, R&D, and provide technical guidance and support in the data domain to the teams under incubation that develop AI Products.

The role requires a strong technical background in Data Engineering, AI, and modern Cloud infrastructure, excellent technical skills, and the ability to collaborate with both internal and external stakeholders across technology, AI, and business to deliver impactful AI products. The Data Engineer will work on the delivery of high-quality data infrastructure, continuous improvement, and experimentation, and development of the company’s data expertise.

Job Description

In this role, you will be an active member of the Prudential AI Lab, playing the role of Data Engineer at Prudential Singapore to support the implementation of solutions built in AI labs:

• Build data pipelines to bring in wide variety of data from multiple sources within the organization as well as from relevant 3rd party sources.
• Collaborate with cross functional teams to source data and make it available for downstream consumption.
• Work with the team to provide an effective solution design to meet business needs.
• Ensure regular communication with key stakeholders, understand any key concerns in how the initiative is being delivered or any risks/issues that have either not yet been identified or are not being progressed.
• Ensure timelines (milestones, decisions, and delivery) are managed and value of initiative is achieved, without compromising quality and within budget.
• Ensure an appropriate and coordinated communications plan is in place for initiative execution and delivery, both internal and external.

Who we are looking for:

Competencies & Personal Traits

• Work as a team player
• Strong technical background in data, AI, and modern cloud infrastructure. • Excellent programming skills in languages such as Python, SQL.
• Experience with Cloud Infra providers like Azure data bricks, Google cloud platform or AWS
• Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, Dataset / Dataframe API) or Hive query language (HQL)
• Knowledge of Big data ETL processing tools
• Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
• Basic knowledge of scripting (shell / bash)
• Experience of working with multiple data sources including relational databases (SQL Server / Oracle / DB2 / Netezza), NoSQL / document databases, flat files
• Basic understanding of CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
• Basic understanding of DevOps practices using Git version control
• Ability to debug, fine tune and optimize large scale data processing jobs

Work Experience

• 5-8 years of broad experience of working with Enterprise IT applications in cloud platform and big data environments.

Professional Qualifications

• Certifications related to Data and Analytics would be an added advantage

Education

• Master/bachelor’s degree in STEM (Science, Technology, Engineering, Mathematics)

This role presents an exciting opportunity in the company’s AI transformation and contributes to the company’s strategic goals. The AI Lab will play a crucial role in delivering substantial business value, enhancing customer experience, and establishing the company as an industry leader in AI innovation.

Qualifications and Experience:

• Bachelor’s or Master’s degree in Data Science, Operations Research, Mathematics, Computer Science, Statistics, or a related quantitative field.

Technical Skills:

• Proficient in programming languages such as Python, R, or Julia, with expertise in data manipulation and model development.
• Experience with optimization libraries and tools like Gurobi, CPLEX, OR-Tools, or Pyomo.
• Strong grasp of optimization techniques, including linear programming, mixed-integer programming, and heuristic methods.
• Familiarity with machine learning algorithms and frameworks (e.g., TensorFlow, Scikit-learn) and their integration with optimization models.
• Proficient in data processing tools and frameworks such as SQL, Pandas, and NumPy.
• Skilled in using data visualization tools (e.g., Looker, Tableau, Power BI, Matplotlib) to effectively present findings and optimization results.
• Experience with cloud computing platforms (e.g., Google Cloud, AWS) and deploying optimization solutions in the cloud.
• Knowledge of big data technologies (e.g., Hadoop, Spark) and their application to large-scale optimization challenges.
• Any other ad hoc duties as assigned by supervisor.

Analytical Skills:

• Strong problem-solving capabilities with a systematic and innovative approach to complex optimization problems.
• Ability to conduct deep data analysis and extract actionable insights from intricate datasets.
• Solid mathematical background in linear algebra, calculus, and probability, essential for understanding and developing optimization models.

Experience:

• Over 2 years of experience in data science with a focus on optimization problems. Experience in sectors such as logistics, manufacturing, finance, or technology is preferred.
• Proven track record of leading optimization projects from initiation to deployment, including model development, validation, and implementation.

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

!!Cannot Choose Shift!!

Working hours: On rotating roster of up to 6 days shift (will not exceed 44 hrs/wk)

AM shift – 9.15am to 2.15pm (5 hours, no break)

PM shift – 3.15pm to 8.15pm (5 hours, no break)

Full shift – 7.45am to 7.45pm (2 break time given)

AM & PM shift - 9.15am to 8.15pm (1 hour break)

JOB DESCRIPTION

• Take temperatures and administer health screening questionnaire

• Data entry

• Attending to queries from patients & visitors

• Other duties as assigned by supervisor

TELE me at @yijingggggg or WA me at https://wa.me/+6598623556 NOW!
Interested candidates, please submit your resume to [email protected]

Alison Chen
Outsourcing Team
Recruit Express Pte Ltd (EA Licence No.: 99C4599)

• Good Bonus - AWS + up to 6 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply

• Entry level / Junior / Senior / No experience welcome apply X 3 Opening

• Full training provided

Responsibilities:

§ Planning, co-ordination and execution of LTA and SMRT projects

§ To attend all interface and co-ordination meetings with different stakeholders and contractors

§ Installation, monitoring, supervision, testing and troubleshooting of RTU at site

§ Preparation of project documents and drawings

Requirements:

§ Relevant Diploma in Electrical Engineering/Computer Engineering from a recognised Polytechnic

§ Strong interpersonal skill with a positive attitude

Our benefits and compensation for permanent position are as follows:

Salary for experience candidates will be considered based on the years of experience and our internal salary structure

1 month AWS

Variable Bonus ranging from 1 to 6 months depending on individual and company performance

Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

Working days: Monday to Friday (1 day work from home per week)

Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

18 days up to 21 days for executive (Engineer and above)

Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

Term Life

Personal Accident

Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

Flex Dollars of $500 per financial year

Free annual year-end Health Check-Up

Monthly Birthday Party Celebration

Monthly Sports Activities

New Born Gift

CSR Initiatives

Department Bonding Activities

Biennial team building and staff appreciation dinner

Gym Corner for employees to exercise

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

• Good Bonus - AWS + up to 6 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply

• Entry level / Junior / Senior / No experience welcome apply X 3 Opening

• Full training provided

Responsibilities:

· Planning, coordination, and execution of substation automation projects.

· Design, costing and integration of substation automation systems according to project requirements.

· Installation, testing and troubleshooting of substation automation systems at site.

· Preparation of project documents and drawings.

Requirements:

· Diploma in Electrical Engineering/Computer Engineering

· Knowledge of data communication and Automation Systems for Electrical Network

Our benefits and compensation for permanent position are as follows:

Salary for experience candidates will be considered based on the years of experience and our internal salary structure

1 month AWS

Variable Bonus ranging from 1 to 6 months depending on individual and company performance

Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

Working days: Monday to Friday (1 day work from home per week)

Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

18 days up to 21 days for executive (Engineer and above)

Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

Term Life

Personal Accident

Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

Flex Dollars of $500 per financial year

Free annual year-end Health Check-Up

Monthly Birthday Party Celebration

Monthly Sports Activities

New Born Gift

CSR Initiatives

Department Bonding Activities

Biennial team building and staff appreciation dinner

Gym Corner for employees to exercise

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

• Good Bonus - AWS + up to 6 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply
• Entry level / Junior / Senior / No experience welcome apply X 3 Opening
• Full training provided

Responsibilities:

§ Project execution and implementation activities for energy monitoring systems projects.

§ Co-ordinate site staff and plan site activities for ongoing and maintenance projects.

§ Record and maintain proper project documentation record

Requirements:

§ Diploma/Degree in Electrical/ Electronics/ Computer Engineering / Computer Science from a recognised Polytechnic/University

§ Preferably with experience in Energy Monitoring System

§ Our benefits and compensation for permanent position are as follows:

§

§ Salary for experience candidates will be considered based on the years of experience and our internal salary structure

§

§ 1 month AWS

§ Variable Bonus ranging from 1 to 6 months depending on individual and company performance

§ Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

§ Working days: Monday to Friday (1 day work from home per week)

§ Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

§ 18 days up to 21 days for executive (Engineer and above)

§ Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

§ Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

§ Term Life

§ Personal Accident

§ Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

§ Flex Dollars of $500 per financial year

§ Free annual year-end Health Check-Up

§ Monthly Birthday Party Celebration

§ Monthly Sports Activities

§ New Born Gift

§ CSR Initiatives

§ Department Bonding Activities

§ Biennial team building and staff appreciation dinner

§ Gym Corner for employees to exercise

§

§ Good Pay + Good allowance + Good Bonus

§ Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

§ Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

• Good Bonus - AWS + Up to 6 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply
• Entry level / Junior / Senior / No experience welcome apply X 3 Opening
• Full training provided

Responsibilities:

• Manage the Supervisory control and data acquisition (SCADA) system and distribution management systems applications;
• Involved in enhancement of the software functionality and troubleshooting to maintain system reliability and performance;
• Maintain accurate records of maintenance activities, enhancements and fixes;
• Collaborate and communicate with both internal and external customers to ensure smooth execution of projects and provide timely updates on project status;
• Assist client for Annual Vulnerability Assessment and Penetration (VAPT) activity and follow up on the findings;
• Follow up with product supplier and vendors, test and install the system patching when necessary;
• Other ad-hoc duties as assigned.

Requirements:

• Diploma/Degree in Electrical/Electronics/Computer/Software Engineering from a recognized Polytechnic/University;
• Knowledge in programming languages such as C, C++ and Java;
• Knowledge in Solaris and Linux Operating System;
• Knowledge in oracle database, relational database management system (RDMS) and SQL commands;
• Salary for experience candidates will be considered based on the years of experience and our internal salary structure
  1 month AWS
  Variable Bonus up to 6 Month depending on individual and company performance
• Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm
• Working days: Monday to Friday (1 day work from home per week)
• Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)
• 18 days up to 21 days for executive (Engineer and above)
• Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)
• Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)
• Term Life
• Personal Accident
• Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.
• Flex Dollars of $500 per financial year
• Free annual year-end Health Check-Up
• Monthly Birthday Party Celebration
• Monthly Sports Activities
• New Born Gift
• CSR Initiatives
• Department Bonding Activities
• Biennial team building and staff appreciation dinner
• Gym Corner for employees to exercise
• Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)
  Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Our client is a global MNC in real estate and investment management. Due to business needs, they are now recruiting a Facility Engineer to be part of their Facilities Team for ongoing transformation projects. They are located in the West - easily accessible.

Duties of Facility Maintenance Engineer:

• Engineering Oversight: Manage the maintenance and operations of critical equipment and building services. Conduct regular site reviews to identify opportunities for cost reduction, productivity improvement, and the adoption of best practices in engineering and sustainability.
• Process Optimization: Act as a Subject Matter Expert to refine processes, tools, and documentation. Ensure compliance with critical environment management (CEM) standards, maintain preventive maintenance programs, and oversee service contracts and contractor performance.
• Safety and Risk Management: Champion safety procedures, including crisis management, business continuity, and emergency protocols. Lead risk management and mitigation initiatives in collaboration with site teams and vendors.
• Strategic Planning and Reporting: Ensure all risk mitigation plans are aligned with client policies and procedures. Monitor and evaluate all critical environment equipment to ensure optimal performance. Participate in asset lifecycle planning and implement improvement projects.

Requirements:

• Relevant certifications (e.g. Data Centre Foundation Certificate (DCFC))
• 4 - 6 years relevant experience with exposure in Data Centre

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified

• Email Address: [email protected]
• EA License No: 19C9682
• EA Personnel No: R2199158
• EA Personnel Name: Soo Wei De

• Conduct independent or third-party reviews and manage SLA compliance.
• Maintain and update diagrams for DC/cage layout, network and power cabling, and asset inventory.
• Forecast, plan, and manage monthly expenses.
• Handle incident documentation, contract changes, and renewals.
• Oversee asset tagging, routine inspections, tools management, and equipment registration control.
• Identify, draft, and implement procedures, including associated training.
• Manage tape inventory, cabling, patch panels, and power/network cabling.
• Perform routine site inspections and monthly performance monitoring.
• Define support structures, roles, and responsibilities, and manage manpower.
• Control access cards, rack keys, and logs, and review CCTV recordings.
• Conduct yearly inventory reviews, manage rack keys, and space planning.
• Oversee access card control and security log reviews.
• Manage annual internal and external audits.
• Implement and monitor procedures to ensure policy compliance.
• Review and renew vendor contracts as needed.

*banking or financial industry experience is desirable.

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Entry (Part Time)
• Working Location: Jurong East
• Working Hours: 2-3 days (Tuesday, Thursday 8.30 am – 5.30 pm)
• Salary Package: Basic $1,000
• Duration: 2 months

Key Responsibilities

• Assist in entering Purchase Orders (P/O) for every sales entry.
• Maintain accurate and up-to-date sales records.
• Ensure data integrity and consistency in the sales admin system.
• Support the sales admin team with additional data entry tasks as needed.
• Perform routine checks to ensure all entered data is complete and accurate.

APPLY NOW!!!

• Previous experience in data entry is an advantage.
• Proficient in basic computer applications, such as Microsoft Office.
• Detail-oriented with a high level of accuracy.
• Good organizational and time management skills.
• Ability to work independently and as part of a team.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #67480 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781