Total 4,032 data entry job vacancies in Information Technology category in Singapore

Responsibilities:

• Design and implement large-scale dataset construction strategies to ensure data quality and diversity, meeting the training needs of various AI models.
• Lead the big data and web scraping team, overseeing data collection, cleaning, annotation, and preprocessing workflows.
• Utilize deep learning and machine learning techniques to optimize the model training process, including model architecture design, hyperparameter tuning, and performance evaluation.
• Collaborate with cross-functional teams, including engineering, product, and business teams, to identify and prioritize dataset and model requirements.
• Monitor performance metrics during the model training process to ensure model accuracy and efficiency.
• Promote the adoption of the latest data science methods and technologies within the team, ensuring skills remain up-to-date.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science or Information Technology.
• A minimum of 2 years of experience in data science, machine learning, or a related domain, with at least 2 years focusing on large-scale model training.
• Strong programming skills in Python or R, and familiarity with deep learning frameworks such as TensorFlow and PyTorch.
• Proven track record in leading and managing data science projects, with the capability to mentor and guide team members on complex tasks.
• In-depth knowledge of dataset construction, including the best practices for data scraping, cleaning, and preprocessing.
• Practical project experience in natural language processing (NLP), computer vision (CV), or recommendation systems.
• Experience in publishing papers in relevant fields or presenting at reputable conferences, along with expertise in model training within large-scale distributed computing environments.

Responsibilities:

• Design and implement large-scale dataset construction strategies to ensure data quality and diversity, meeting the training needs of various AI models.
• Lead the big data and web scraping team, overseeing data collection, cleaning, annotation, and preprocessing workflows.
• Utilize deep learning and machine learning techniques to optimize the model training process, including model architecture design, hyperparameter tuning, and performance evaluation.
• Collaborate with cross-functional teams, including engineering, product, and business teams, to identify and prioritize dataset and model requirements.
• Monitor performance metrics during the model training process to ensure model accuracy and efficiency.
• Promote the adoption of the latest data science methods and technologies within the team, ensuring skills remain up-to-date.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science or Information Technology.
• A minimum of 2 years of experience in data science, machine learning, or a related domain, with at least 2 years focusing on large-scale model training.
• Strong programming skills in Python or R, and familiarity with deep learning frameworks such as TensorFlow and PyTorch.
• Proven track record in leading and managing data science projects, with the capability to mentor and guide team members on complex tasks.
• In-depth knowledge of dataset construction, including the best practices for data scraping, cleaning, and preprocessing.
• Practical project experience in natural language processing (NLP), computer vision (CV), or recommendation systems.
• Experience in publishing papers in relevant fields or presenting at reputable conferences, along with expertise in model training within large-scale distributed computing environments.

Responsibilities:

• Design and implement large-scale dataset construction strategies to ensure data quality and diversity, meeting the training needs of various AI models.
• Lead the big data and web scraping team, overseeing data collection, cleaning, annotation, and preprocessing workflows.
• Utilize deep learning and machine learning techniques to optimize the model training process, including model architecture design, hyperparameter tuning, and performance evaluation.
• Collaborate with cross-functional teams, including engineering, product, and business teams, to identify and prioritize dataset and model requirements.
• Monitor performance metrics during the model training process to ensure model accuracy and efficiency.
• Promote the adoption of the latest data science methods and technologies within the team, ensuring skills remain up-to-date.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science or Information Technology.
• A minimum of 2 years of experience in data science, machine learning, or a related domain, with at least 2 years focusing on large-scale model training.
• Strong programming skills in Python or R, and familiarity with deep learning frameworks such as TensorFlow and PyTorch.
• Proven track record in leading and managing data science projects, with the capability to mentor and guide team members on complex tasks.
• In-depth knowledge of dataset construction, including the best practices for data scraping, cleaning, and preprocessing.
• Practical project experience in natural language processing (NLP), computer vision (CV), or recommendation systems.
• Experience in publishing papers in relevant fields or presenting at reputable conferences, along with expertise in model training within large-scale distributed computing environments.

This is an opportunity to become a Data Operations Engineer for a new large-scale government IT System.

RESPONSIBILITIES:

• Accountable for the fulfilment of the system’s roles and responsibilities as one of the team data single source of truth
• Publish and enforce data definitions for established data subjects
• Plan and Prioritise onboarding requests, track and report contributor & consumer onboarding status
• Ensure data availability to data consumers, and provide timely communications in cases of disruptions
• Respond to enquiries on data quality and inform the relevant data contributor promptly
• Receive and apply corrections provided by data contributors
• Identify and establish measures on on-going basis to proactively detect data quality issues and follow up with the respective data contributors for timely data corrections, as well as implementation of preventive measures
• Provide regular reporting of data quality issues to internal and external stakeholders, data owner, and track all data quality issues till closure
• Ensure compliance to both internal and external SLAs

REQUIREMENTS:

• Degree in Computer Science, Information Technology, Management of Information Systems, or related discipline​​​​​​
• Excellent analytical skills with attention to details
• Solid hands on experience with SQL / .Net
• Possesses good verbal and written communication across all levels of personnel with proven ability to translate complex, technical subjects into clear and concise communications to a variety of key stakeholders
• Pro-active, independent, and able to react quickly and resolve issues promptly

Morgan McKinley Pte Ltd

Cedric Ferreras

EA Licence No: 11C5502

EA Registration No. R1870889

Key Highlights

• Great exposure to the government sector
• Nearest MRT: Outram Park
• Working Hours: Mon- Fri (office hours)
• Salary:  Up to $3,100 per month
• Contract Duration: 6 months

Key Responsibilities

• Conduct market research using methods such as interviews, questionnaires, focus groups and market analysis surveys.
• Compile, analyze and report market research findings and present actionable and relevant recommendations.
• Support the collaboration with internal divisions and external partners to scope, develop and/or align project objectives and requirements in a dynamic and agile working environment.
• Support other project management related duties, as assigned.

Key Requirements:

• Degree in any related field.
• Working experience in market research, preferably in the health sector will be a bonus
• Proficient in using Microsoft (Excel, Words), Pivot Table/VLOOKUPfor data entry purpose
• Experience in using Power BI/ Tableau for data visualization

Interested candidates please click "Apply Now". We regret to inform you that only shortlisted candidates will be contacted for further discussion.

Venice Kang
Outsourcing Team

BGC Group Pte Ltd

Registration No.: R23117645
EA License Number: 05C3053

About Bytedance

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the Team

Nuverse is a gaming business unit in ByteDance. The Game Technology team is playing a significant role in the whole life cycle of the game. We are responsible for the development, testing, operation, SRE, and quality assurance of the user and operating system, and give strong support for game developing and publishing. Providing comprehensive and systematical solutions, support the good operation and commercialization of the game. Responsible for the design and implementation of the deployment architecture of the game's overseas game business, and ensuring the good operation of online services.

Job Description:

1. Participate in the construction and operation and maintenance of offline and real-time data warehouses for game business;

2. Participate in the optimization of the data ETL process and solve ETL-related technical problems;

3. Participate in data governance work under complex data link dependencies and multi-data content ecology;

4. Relying on ByteDance's big data solutions, quickly implement data solutions in the business.

Qualifications

Minimum Qualifications：

1. Bachelor's degree or above in computer-related majors, with more than 4 years of big data-related work experience;

2. Master most of the big data-related technologies such as Hive, Yarn, Spark, Flink, Kafka, HBase, understand their principles and be able to complete performance tuning;

3. Proficient in using HQL, and master at least one of Python, Java, Scala, and GO;

4. Familiar with the Linux operating system and proficient in Shell programming;

5. Be proactive at work and be able to independently analyze and solve problems;

6. Be responsible, have good communication skills and teamwork ability;

Preferred Qualifications:

1. Experience in the gaming industry or managing platform-type internet products will be an advantage.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities:

• Configure and manage DLP software solutions to monitor and protect data in transit, at rest, and in use.
• Develop and enforce policies to prevent unauthorized access, transfer, or sharing of sensitive data.
• Integrate DLP solutions with other security systems, such as SIEM (Security Information and Event Management) platforms.
• Continuously monitor alerts and logs from DLP systems for potential data leakage or breaches.
• Investigate and respond to DLP alerts by analyzing root causes and determining remediation actions.
• Coordinate with incident response teams to mitigate the impact of data security incidents.
• responsible for the company's data security construction, developing the company's data security plan and promoting its implementation, including DLP deployment and operation, file security capability access, end-to-end encryption, data warehouse security, business system permission governance, classification and grading construction, KMS scheme design and promotion, etc;
• Responsible for the overall security construction planning, promotion, and implementation of the company, as well as team management.
• Formulate and promote the implementation of the company's data security plan, including DLP deployment and operation, integration of file security capabilities, end-to-end encryption, data warehouse security, governance of business system permissions, classification and grading construction, KMS scheme design and promotion, etc
• Promote SDL security capability building, including security review checkpoints at the PRD stage/Jira stage, as well as SATS/IAST capability building.
• Terminal Security: Promoted testing and deployment of terminal security products, assessed and enabled security features of office suites, and established a security audit mechanism for employee departures
• Ensure that DLP policies comply with relevant data protection regulations (e.g., GDPR, CCPA, HIPAA).

Requirements:

• Bachelor’s degree in Computer Science, Information Security, Cybersecurity, or a related field.
• Relevant certifications (e.g., CompTIA Security+, CISSP, CISM, CEH, or a DLP-specific certification like Symantec DLP or Forcepoint DLP) are preferred.
• 5 years of experience in cybersecurity or IT security roles, with specific experience in data loss prevention, security monitoring, or incident response.
• Hands-on experience with DLP solutions (e.g., Symantec,Forcepoint, Proofpoint McAfee, Digital Guardian).
• Familiarity with security frameworks and regulations (e.g., NIST, ISO 27001, GDPR, HIPAA).
• Experience in basic principles and remediation methods of common vulnerabilities, familiar with the usage and techniques of common tools, and able to conduct risk analysis of vulnerabilities in combination with business scenarios.
• Experience in network security domain partitioning, network device configuration, and troubleshooting
• Strong knowledge of DLP technologies, encryption methods, and data protection best practices.
• Proficiency in security monitoring tools (SIEM) and incident response processes.
• Understanding of network protocols, cloud environments, and data access controls.

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Job Title: Manager - Data Centre Facilities Management

Position Overview

As Data Centre Engineer, need to look after 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.

Role & Responsibilitie

• 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

• Bachelor of Computer Science 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 ISO 27001, ANSI/TIA-942 Standard will be advantage.
• 2 years contract

EA Licence No: 11C5502 | EAP Registration No: R22109400

Job Summary

Lead the CIB Data Management & Governance team’s activities in ensuring good Data Management and Data Quality within CIB platforms and process. These activities include but are not limited to:
• Leading complex root cause analysis of data issues, identifying, mobilising and collaborating with required SMEs to perform and conclude root cause analysis.
• Review root cause analysis outcome with recommendations on proposed solution in collaboration with relevant SMEs.
• Provide thought leadership on data design best practices.
• Collaboration with Chief Data Office (CDO) and CIB downstream data consumers in defining pan-bank cross-cutting solutions.

Strategy
This role is positioned to support the Head of Data Governance & Management CIB & EA and the Head of Data Governance & Programmes CIB, focusing on ensuring good Data Governance and Management.

Business
• Develop a cross-cutting view and understanding of the current state of data, processes, and systems for CIB.
• Lead complex root cause analysis for data issues involving CIB systems & processes, partnering with Subject Matter Experts in these areas.
• Lead problem statement definition through requirements verification of data consumers, current state of data producers and gap analysis of consumer requirements against data production.
• Effectively engage senior business stakeholders across geographies - Strong communication skills and ability to tailor complex content to stakeholder audiences.
• Build strong and effective relationships with programme and business counterparts.
• Proven experience in co-ordination of multiple dependencies and stakeholders in complex, large scale deployment environments

Processes
• Work in Enterprise agile environment and guide the relevant Data, Product and Process owner teams in shaping problem statements, defining approaches to root cause analysis of specific complex problems and identifying impacted stakeholders for engagement.
• Alignment to CIB Data Quality Issue Management and Resolution process in ensuring that root cause analysis and solution definition hand-off into solution delivery.
• Support feasibility and options analysis for solution of complex data issues arising from CIB Issue Management register.
• Master and gain in-depth understanding of the Data Quality standards, CIB logical data models (where applicable) and data flow across domains to ensure the smooth and effective solutioning of Data issues across CIB.

Key Responsibilities

People & Talent
• Influence teams and individuals across CIB and downstream data consumers to ensure that deliverables are completed timely and to the required quality standards
• Effectively manages relevant business stakeholders across CIB

Risk Management
• Work closely with the Process Owner of the CIB Issue Management and Resolution process to prioritise / resolve highest risk data issues.

Governance
• Supports the setup and/or maintenance of the relevant governance forums

Regulatory & Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key stakeholders

• Head of Data Management, CIB
• Head of Data Management & Governance
• CFCC / Risk Framework Owner
• Operational Risk
• Standard Owners
• Central Data Office (CDO)
• Chief Product Owner and the Hive
• Client Coverage Business Heads/ delegates
• Product Management (System/Platform Owners)
• Technology Delivery Partners

Our Ideal Candidate

Specific skills/experience/attributes:
• 10+ years experience working in a financial institution with knowledge of banking processes and data management
• Experience with reviewing, understanding, and mapping a complex business process to determine how specific regulatory obligations & policy requirements impact a process and the respective controls/elements in those processes
• Experience with designing solutions to meet policy and regulatory requirements for existing processes, in collaboration with technology
• Strong prioritisation and organizing skills matched with the ability to manage stress, time, and change effectively
• Prior experience working in Agile Scrum team will be advantageous
• Strong stakeholder management skills with experience in managing various stakeholder groups
• Strong problem solving / analytical skills
• Ability to take initiative, identify opportunities and work with minimal management oversight
• Excellent communication skills – oral, written and presentation
• High level of attention to detail with the ability to identify areas of focus for solution design and implementation
• Ability to create effective work relationships across functions & borders
• Good presentation, time management, negotiation and influencing skills
• Any other relevant project management certification(s)

Role Specific Technical Competencies

• Data Management
• Project Management
• Business Acumen
• Planning: Tactical, Strategic
• Agile Methodologies
• Analytical Thinking
• Business Process Design
• Stakeholder Management
• Communication (oral, written, presentation)
• Time Management

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

• Liaise and work closely with various stakeholders in performing cost calculation and pricing on existing and new services/ projects.
• Prepare, formulate, and rationalise price revision proposal to ensure organisation’s financial sustainability, while taking into consideration patient bill impact.
• Work with IT vendor to maintain efficient SharePoint workflow as part of continuous process improvement, including the identification and resolution of issues.
• Monitor and report SharePoint workflow turnaround time.
• Ensure accurate and timely update of data files for internal management reporting.
• Support annual cost refresh/ updates on services.
• Provide Business partnering support to Business Units within a growing regional healthcare system.
• Any other ad-hoc duties.

For interested candidates, please send your updated resume:

Email: [email protected]

WA: wa.me/6596503173

Tele @jesswongie

Jessie Wong Yuan Si

R2197171

Recruit Express Pte Ltd (Healthcare & Lifesciences Division)

EA License: 99C4599

Responsibilities:

• Configure and manage DLP software solutions to monitor and protect data in transit, at rest, and in use.
• Develop and enforce policies to prevent unauthorized access, transfer, or sharing of sensitive data.
• Integrate DLP solutions with other security systems, such as SIEM (Security Information and Event Management) platforms.
• Continuously monitor alerts and logs from DLP systems for potential data leakage or breaches.
• Investigate and respond to DLP alerts by analyzing root causes and determining remediation actions.
• Coordinate with incident response teams to mitigate the impact of data security incidents.
• Responsible for the company's data security construction, developing the company's data security plan and promoting its implementation, including DLP deployment and operation, file security capability access, end-to-end encryption, data warehouse security, business system permission governance, classification and grading construction, KMS scheme design and promotion, etc;
• Responsible for the overall security construction planning, promotion, and implementation of the company, as well as team management.
• Formulate and promote the implementation of the company's data security plan, including DLP
• Deployment and operation, integration of file security capabilities, end-to-end encryption, data warehouse security, governance of business system permissions, classification and grading construction, KMS scheme design and promotion, etc
• Promote SDL security capability building, including security review checkpoints at the PRD stage/Jira stage, as well as SATS/IAST capability building.
• Terminal Security: Promoted testing and deployment of terminal security products, assessed and enabled security features of office suites, and established a security audit mechanism for employee departures
• Ensure that DLP policies comply with relevant data protection regulations (e.g., GDPR, CCPA, HIPAA).

Requirements:

• Bachelor’s degree in Computer Science, Information Security, Cybersecurity, or a related field.
• Relevant certifications (e.g., CompTIA Security+, CISSP, CISM, CEH, or a DLP-specific certification like Symantec DLP or Forcepoint DLP) are preferred.
• 5 years of experience in cybersecurity or IT security roles, with specific experience in data loss prevention, security monitoring, or incident response.
• Hands-on experience with DLP solutions (e.g., Symantec, Forcepoint, Proofpoint McAfee, Digital Guardian).
• Familiarity with security frameworks and regulations (e.g., NIST, ISO 27001, GDPR, HIPAA).
• Experience in basic principles and remediation methods of common vulnerabilities, familiar with the usage and techniques of common tools, and able to conduct risk analysis of vulnerabilities in combination with business scenarios.
• Experience in network security domain partitioning, network device configuration, and troubleshooting
• Strong knowledge of DLP technologies, encryption methods, and data protection best practices.
• Proficiency in security monitoring tools (SIEM) and incident response processes.
• Understanding of network protocols, cloud environments, and data access controls.

EA REG NO: R1873418

EA License No:23C2060

Disclaimer: The company is committed to ensuring the privacy and security of your information.

By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Data Scientist (DSAD)

Location: Near Paya Lebar MRT

Working Hours: 8.30AM – 5.30PM / 9.00AM – 6.00PM

What the role is

This statutory board leads the charge that promotes lifelong learning and skills development. With a strong focus on innovation and collaboration, works closely with employers, training providers, and individuals to create a vibrant ecosystem of learning and growth. By offering a wide range of initiatives, programs, and funding schemes, enables individuals to unlock their full potential, acquire new competencies, and stay ahead in a rapidly changing job market.

Join the Data Strategy & Analytics Division (DSAD) team to grow the team into a data-mature organization where we use data pervasively and securely to deliver on our business missions:

• Develop and drive data strategy, including LOIs, data competency, and maintaining strong links with CIO Office
• Develop, implement and maintain comprehensive data governance and management framework that complies with WOG requirements Implement Lines of Inquiries
• Support data management and exploitation
• Develop MLOps and instil best practices

What you will be working on

The Data Scientist in the Data Strategy and Analytics Division reports to the Principal Manager and plays a pivotal role in deriving business insights from large and real-time datasets for fraud and risk management, strategic planning as well as operational efficiency. This position will develop, deploy and maintain data analytic models as well as have opportunities to also collaborate with other public agencies to introduce and enhance data science capabilities (such as Jobs and Skills) for the organisation. As the domain expert in data analytics the Data Scientist is also expected to coordinate, strategize and guide the officers performing data analytics work to achieve efficiency and accuracy.

• Data Analysis & Model Development
• Research and develop statistical and machine learning models for comprehensive data analysis
• Utilize algorithms and models to mine big data, perform data and error analysis, and ensure data uniformity and accuracy
• Apply data mining techniques and perform statistical analysis to generate insights at scale
• Collaboration & Solution Development
• Work closely with both internal and external stakeholders to understand analytic needs and develop effective solutions
• Create machine learning-based tools or processes, such as recommendation engines, and monitor their performance through A/B testing and predictive capabilities
• Communicate analytic solutions to stakeholders and implement necessary improvements to operational systems
• Innovation & Capability Building
• Identify relevant structured and unstructured data sources for mining meaningful insights
• Build prototype analysis pipelines iteratively to provide scalable insights
• Contribute to building data analytics capabilities across the organization, emphasizing the strategic value of data in achieving business objectives

What we are looking for

• Tertiary qualification in a quantitative discipline such as Computer Science, Economics, Statistics, or Applied Mathematics.
• 3-8 years of experience in computer science, applied mathematics, or other quantitative/computational disciplines.
• Proven experience in data visualization tools (e.g., Tableau) and data analysis/processing tools (e.g., R, Python).
• Experience with Cloud Technology (e.g., AWS data and analytics Tech Stack) and distributed computing tools (e.g., Hadoop/Spark).
• Demonstrated ability in building machine learning models at scale, using real-time data pipelines on platforms.
• Strong analytical skills with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
• Proficiency in data engineering, including SQL and manipulating structured and unstructured data sources for analysis.
• Advanced skills in pattern recognition and predictive modeling.
• Experience or specialization in fraud prevention/detection, compliance, forensics, or Jobs and Skills related analysis will be considered advantageous.
• Excellent communication and presentation skills, with a strong emphasis on collaboration and innovation.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R1223746 Tan Eng Kah (Chen Yunjia)

Contract: 12 months

Location: Alexandra

Responsibilities

• Ensuring data quality and integrity, implementing data validation checks, monitoring data pipelines for errors or anomalies, and resolving any issues that arise
• Collaborate closely with other departments to understand their data needs and provide innovative and user-friendly solutions.

Requirements

• Diploma or Bachelor’s degree, preferably in Computer Science, Software Engineering, Information Technology or related disciplines
• Proficient in event and workshop planning
• Skilled in creating technical documents
  Extensive knowledge of databases and their functionality
• Proficient in MS Office
• Demonstrated expertise in cloud technologies
• Proficient in Python programming language
• Familiarity with frontend frameworks, such as NodeJS, is preferred.

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/apply/8748

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

About TikTok TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

Team Introduction

Internal Audit is a global function responsible for providing independent assurance and evaluating the company's risk management, governance and internal control processes to determine if they are designed and operating effectively. The Internal Audit team plans and executes audit projects according to our risk-based audit plan by evaluating financial, compliance, operational, and IT processes and controls. We work with business functions in addressing risks and improving the control environment through timely and comprehensive audit work and tracking of remediation actions until completion. We are looking for professional data analysts who will power our mission with data engineering, data analytics technology and rich experience of data handling, continuous auditing.

Responsibilities

- Data Inventory: Understand and identify an inventory of applications, databases, and data warehouses across ByteDance.

- Manage and implement continuous auditing and data analytics scenarios, including identifying and analyzing risks, planning and prioritizing the work, conducting interviews, observing systems and operations. Developing queries and testing strategies, including techniques to confirm the completeness and accuracy of the data used in data analytics and continuous audit testing.

- Own and implement a Continuous Auditing (CA) and Data Analytics (DA) strategy that will translate into a running list of CA and DA use cases that can automate the evaluation of the design and effectiveness of controls.

- Systematically organize the relationship between business processes, risks, and data, as well as provide comprehensive and meaningful data knowledge accumulation to the audit team.

- Stakeholder Relationships: Develop and maintain collaborative working relationships with stakeholders.

- Professional Development: Continue to develop and expand knowledge of the audit profession, data analytics practices, machine learning, AI, our industry, and ByteDance products and information through self-study, research, and continuing education efforts.

Qualifications

- Experience building and managing a Continuous auditing and Data Analytics program, including automating common analyses and recurring audit check procedures. Extracting data from data warehouses and databases (example: SQL DB's). Designing and maintaining Continuous Auditing queries and dashboards, developing controls to maintain the integrity of the data and queries used for analytics and execution of multiple projects.

- Experience developing, implementing, and maintaining analytics dashboards that address financial/operating and technology objectives.

- Experience in FinTech, Financial Services, Internet, Retail, SaaS or technology-related companies is highly preferred. Preferred Qualifications

- Bachelor's degree or above in a quantitative discipline such as Mathematics, Statistics, Computer Science, Financial Engineering or Operations Research with solid theoretical knowledge and 5+ years practical experience of project management, data analytics and scripting capabilities (example: SQL, Python, R etc.).

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Manager / Senior Manager, Data Management (DSAD)

Location: Near Paya Lebar MRT

Working Hours: 8.30AM – 5.30PM / 9.00AM – 6.00PM

What the role is

As a statutory board that leads the charge in promoting lifelong learning and skills development. With a strong focus on innovation and collaboration, works closely with employers, training providers, and individuals to create a vibrant ecosystem of learning and growth.

By offering a wide range of initiatives, programs, and funding schemes, enables individuals to unlock their full potential, acquire new competencies, and stay ahead in a rapidly changing job market.

Join the DSAD team to grow into a data-mature organization where we use data pervasively and securely to deliver on our business missions:

• Develop and drive SSG’s data strategy, including LOIs, data competency, and maintaining strong links with CIO Office
• Develop, implement and maintain comprehensive data governance and management framework that complies with WOG requirements Implement Lines of Inquiries
• Support data management and exploitation
• Develop MLOps and instil best practices

What you will be working on

The Manager/ Senior Manager, Data Management, is a pivotal role within the Data Strategy & Analytics Division (DSAD), tasked with spearheading the development, implementation, and oversight of data management policies and processes. This role is designed for an individual who is committed to upholding the highest standards of data governance in alignment with Whole of Government (WoG) regulations and best practices. The ideal candidate will embody our organization's mission to lead with integrity, innovation, and a commitment to excellence, ensuring that our data management strategies not only comply with regulatory requirements but also support our strategic objectives and operational needs.

Data Governance & Compliance:

• Develop and implement comprehensive data management policies and processes in accordance with WoG regulations, such as the IM8, and industry best practices
• Collaborate with the IT department to enforce data management measures, ensuring robust data security and compliance across all systems
• Provide expert guidance and support to stakeholders, fostering a culture of compliance and accountability in data management practices

Data Strategy Development:

• Support the development and maintenance of an enterprise-wide data model, including data dictionaries, metadata repositories, and other critical documentation, to provide clarity to data definitions, lineage, and relationships
• Monitor the effectiveness of data management initiatives, leveraging insights to drive continuous improvement and strategic alignment with organizational goals

Data Quality & Integrity:

• Champion the development and implementation of data quality standards, metrics, and tools to ensure data accuracy, completeness, and consistency
• Actively engage with stakeholders to understand data requirements, ensuring the acquisition and maintenance of high-quality data

Data Collaboration & Sharing:

• Facilitate data sharing initiatives within the organization and across the WoG network, adhering to best management practices and enhancing collaborative efforts

What we are looking for

• A minimum of 2 years of practical experience in data governance, data management, or a related field
• Strong foundational knowledge in data architecture, systems, and models. Certifications such as Certified Data Management Professional (CDMP), Information Privacy Professional (CIPP), or Information Systems Security Professional (CISSP) are highly desirable
• In-depth understanding of data management principles, frameworks, and best practices
• Proficiency in data quality management techniques and tools
• Strong critical thinking abilities, coupled with a logical approach to problem-solving
• Excellent communication, collaboration, and stakeholder management skills
• A steadfast commitment to professionalism, integrity, and credibility, reflecting our organizational values and culture

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R1223746 Tan Eng Kah (Chen Yunjia)

Your Job

As a Data Analyst for the DSS Division – Operation Strategy, you will be responsible for data analytics including, but not limited to, capacity planning, floor space mapping, work automation, and database management. Your work will drive capacity mapping/planning and floor space optimization initiatives in DSS plants through leading cross-functional teams. Your objective is to streamline data collection processes, automate business processes, and support long-term profitable growth by developing and maintaining databases and data systems.

Our Team

You will be reporting to the Manager of Digitalization and Data Analytics. You will interact with internal and external contacts, including executive-level professionals such as VPs, Directors, Plant Leaders, Finance, Operation Excellence leaders, Planners, and Industrial Engineers.

What You Will Do

• Drive Capacity mapping/planning and Floor space optimization initiatives in DSS plants thru leading of cross functional team/s
• Streamlining data collection processes and automating business processes
• Developing and maintaining databases, data systems and Analytic needs of the Supply Chain group to support long term profitable growth.
• Extracting, cleaning, and organizing data from various sources using automated tools in order to investigate complex business problems
• Prepare Analysis and/or develop reporting capabilities to help drive long term value creation or cost reduction effort.
• Identify Cost Saving, Profitable Growth opportunities Improving efficiency, understanding Division/plants/Customer needs, through data visualization and insight from complex and big data available
• Provide guidance or training to the relevant parties on usage of new Analytic or digital transformation tools.
• Perform other related duties as assigned by Management.

Who You Are (Basic Qualifications)

• Bachelor’s Degree in Informatics, Economics, Computer Science, Data Science, or a related field.
• Ability to influence without authority and demonstrate project or team leadership.
• Advanced analytical and organizational skills with exceptional attention to detail.
• Advanced computer proficiency, particularly in Excel (Pivot Tables and advanced report writing).

What Will Put You Ahead

• Experience in the manufacturing environment.
• Program or project management experience.
• Familiarity with big data tools/technologies such as SAP ECC, SAP Bex, SQL, PowerBI, Qlik, Tableau, statistical analysis tools, Power Automate, Snowflake, and programming languages like SQL or Python.

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate’s knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

Who We Are

As a Koch company, Molex is a leading supplier of connectors and interconnect components, driving innovation in electronics and supporting industries from automotive to health care and consumer to data communications. The thousands of innovators who work for Molex have made us a global electronics leader. Our experienced people, groundbreaking products and leading-edge technologies help us deliver a wider array of solutions to more markets than ever before.

At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.

Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.

Job Scope:

This role involves creating mathematical formulas and models to address business challenges and drive operational efficiency. The Data Scientist will apply advanced mathematical techniques to develop solutions that enhance decision-making and optimize various business functions.

Project Function : Data Management/ Analytics, Information Technology

Responsibilities Include:

• Design and develop advanced mathematical, simulation, and optimization models and apply them to define strategic and tactical needs and drive appropriate business and technical solutions in the areas of price, fuel, network flow, supply chain optimization, and demand planning.
• Apply mathematical optimization techniques (linear, quadratic, SOCP, robust, stochastic, dynamic, mixed-integer programming, network flows, nonlinear, nonconvex programming) and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software
• Research, prototype and experiment with these models by using modeling languages such as Python; participate in the production level deployment

The candidate should have the expertise/experience of:

• Experience in building optimization models and implementing them
• Expertise in validating and simulating math optimization model
• Experience designing and supporting large-scale optimization systems in a production environment
• Analytical Skills: Strong ability to analyze complex problems, develop mathematical models, and interpret results.
• Mathematical Proficiency: Solid understanding of optimization techniques, linear programming, integer programming, and other mathematical methods.
• Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Problem-Solving: Strong problem-solving skills with a focus on finding effective and efficient solutions to business challenges.
• Attention to Detail: High attention to detail and accuracy in developing and validating models and solutions.
• Experience: Capable of building optimization models and implementing them with the ability of validating and simulating math optimization model

Job Requirements:

• Master or Bachelor Degree in Operations Research, Mathematical Optimization, Statistic, Computer Science or a related field with 2+ years of similar job experience
• Expertise in at least one of the areas of convex optimization, robust optimization and supply chain management Strong coding skills (one or more of Python or R) and experience using one or more commercial optimization solvers

Experience:

• 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.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• A minimum of 2 years of work experience in quantitative analysis (minimum of 1 years with a Ph.D.).
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
• A minimum of 2 years experience leading product analytics and influencing product roadmap
• A minimum of 2 years experience designing and running A/B tests
• Experience understanding ecosystems, user behaviors and long-term product trends
• Core statistical knowledge
• Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.

Preferred Qualifications

• Masters or Ph.D. Degree in a quantitative field.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

s a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• A minimum of 4+ years experience doing quantitative analysis
• Fluency in SQL, R, or Python
• 4+ years experience leading product analytics and influencing product roadmap
• 4+ years experience designing and running A/B tests
• Experience understanding ecosystems, user behaviors and long-term product trends
• Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.

Preferred Qualifications

• Masters or Ph.D. Degree in a quantitative field.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

The incumbent will be part of a Programme Evaluation (PE) team who drives programme evaluation efforts across MOH-Family. He/She uses statistical techniques to evaluate programmes/policies or conduct developmental analytics to improve implementation, and derives insights from administrative databases, surveys, and public information to support policy decisions. He/She enjoys working with data and displays willingness to learn. He/She adopts an analytical approach to solving problems and displays confidence when communicating ideas. He/She leads important projects and collaborates with policy stakeholders to understand the context and refine the analyses.

Roles & Responsibilities

• Develop and implement the MOH-Family Programme Evaluation Framework
• Develop and implement a systematic structure of Programme Evaluation framework which can be consistently applied to various health programmes and other expenditure types
• Provide training for MOH divisions to conduct programme evaluations
• Drive programme evaluation efforts across MOH-Family
• Build programme monitoring and evaluation capabilities among MOH officers
• Plan resources that are needed to conduct various programme evaluations
• Centralise programme evaluation functions across all MOH divisions
• Plan, undertake, and communicate evaluations of MOH-family programmes and policies
• Work with policy divisions and stakeholders to design and evaluate health programmes using the most suitable methods (qualitative/quantitative studies, experimental/quasi-experimental designs)
• Conduct pre-, during-, and post-implementation monitoring and evaluation of major healthcare programmes for process, outcome, and economic evaluations, and impact assessment
• Interpret and communicate findings in light of policy decisions/context
• Develop action plans to drive process improvement, refine programme delivery, and provide evidence for decision-making to achieve the programme’s intended outcomes
• Work with stakeholders and use evaluation results to drive process improvement and decision-making

Requirements

• Graduate/Postgraduate degree in a quantitative discipline: Health Services Research, Economics, Health Economics, Statistics/Biostatistics/Bioinformatics, Mathematics, Data Science, Business Analytics, Public Health, Public Policy, or related qualifications, or relevant work experience
• 2+ years relevant working experience is a plus, especially in conducting evaluations and/or analysis in healthcare, government, or IT sectors
• Possess a wide range of analytical skills and evaluation methods. Familiarity with both qualitative and quantitative study designs will be an advantage
• Good stakeholder engagement, communication, and presentation skills
• Able to work independently in a fast-paced working environment, and effective as a team player

Join a dynamic global team where diverse minds come together to tackle the world’s most complex challenges. As a Senior Manager and Data Architect, you will play a key role in solving intricate business issues and driving transformation across multiple sectors. In this role, you’ll use your expertise to lead cross-functional teams, guide clients through strategic decision-making, and help them innovate with cutting-edge data solutions. If you enjoy blending technology with creativity to achieve impactful results, this opportunity offers the platform to do just that.

Key Responsibilities:

• Lead and inspire teams, fostering a collaborative environment where all voices are heard.
• Navigate complex, unstructured challenges, transforming ambiguity into actionable insights.
• Anticipate client needs and proactively provide innovative solutions to meet those demands.
• Leverage your technical expertise in life insurance systems, including Policy Admin, Claims, and Reinsurance, to drive impactful data platform solutions.
• Contribute to data architecture design, including source-to-target mapping, data profiling, and system integration.
• Manage diverse, cross-border teams and ensure seamless execution across all phases of the data platform lifecycle.

Requirements:

• 10+ years of experience focused on data platforms within life insurance, with a strong grasp of systems like Policy Admin, Customer, Fund, and Document management.
• Expertise in the full lifecycle of delivering data platforms, including ingestion, metadata-driven pipelines, and data quality services.
• Proven ability to work under pressure, multitask, and manage details while keeping the big picture in focus.
• Excellent communication, analytical skills, and a strong work ethic to deliver high-quality outcomes.

This is an exciting chance to be at the forefront of transformation, helping organisations unlock the power of data to drive growth and innovation.

EA: 14S7084 | Registration No:R1981018

Job Responsibilities & Duties

Requirements Gathering:

Gather and analyse requirements from business stakeholders.

Data Preparation:
Clean, transform, and analyze data to ensure its suitability for dashboard development.
Perform data discovery and analysis from the bank’s data platform to assess the feasibility of requirements.

Dashboard Design:
Conceptualize dashboard designs through wireframes and prototypes.
Develop visually appealing and intuitive dashboards in QlikView/Qlik Sense to effectively communicate key insights and metrics.
Apply best practices in user interface (UI) and user experience (UX) design.

Technical Skills:
o Knowledge with QlikView and Qlik Sense, including dashboard development, data modelling, and reporting.
o Proficiency in Business Intelligence (BI) tools, visualization tools, and scripting.
o Knowledge of SQL for data manipulation

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

• Minimum 3 years in development and data ingestion pipelines with a degree in Computer Science/Information Technology or related fields
• Design/build robust and scalable data ingestion and data management solutions for batch loading and streaming from data sources using Python
• Ensure compliance with IT security standards, policies, and procedures
• Experience with building on data platforms, particularly Snowflake
• Proficient in SQL and Python
• Experience in continuous integration and continuous deployment (CICD)
• Experience in Software Development Life Cycle (SDLC) methodology
• Experience in data warehousing concepts

Good to have

• Experience with Cloud environments
• Experience in ETL tools

Our Background:

Founded by Temasek & UST, Temus is a start-up aspiring to be Singapore's Digital Transformation champion, with a mission to empower Singapore’s Smart Nation across public and private sectors and enhance the lives of citizens.

Our services span from strategic advisory through to digital, data and AI delivery. Our focus is on harnessing disruptive innovation to unlock economic and social value enabled by technology.

We are growing quickly, and we are looking to recruit strong and highly motivated people to join us on this audacious mission.

Our Purpose

• Place client value and human experience at the centre of everything we do
• Use AI and data to deliver material impact and drive disruptive transformation across public and private sectors
• Maintain public trust in AI and data protection ensuring fairness, ethics, accountability, and transparency

Your Role

• Lead design & delivery of Data pipelines to drive material impact and drive disruptive transformation across our clients in public and private sectors
• Build a world-class team with experts in Data engineering
• Produce thought leadership for data engineering and scaling deployments
• Develop and maintain relationships with a broad range of clients, colleagues, and partners across a variety of contexts and formats
• Mentor junior members to help them build career in Data Engineering
• Invest continuously in building and extending your knowledge and skills

Your Profile

• Minimum 7 years of designing, building and operationalizing large scale enterprise data solutions and applications (both with batch and streaming data)
• Experience using one or more of AWS / Azure / GCP data and analytics services in combination with custom solutions - Spark, Azure Data Lake, Databricks, Snowflake, HDInsights, SQL DW, DocumentDB, Glue, Athena, Elastic Pool etc.
• Experience with Stream platforms and real-time aggregation platforms like Kafka, Kinesis, Spark, Flink, KSQL etc.
• Experience with multiple data storage solutions for analytics, operational and archival purposes like MongoDB, Cassandra, HBase, Redis, PostgreSQL, MySQL, DB2, Neo4j, S3 etc.
• Experience with data transformation tools/platforms like: dbt, Alteryx, Datameer, dataform, Informatica, Talend etc. and their data quality management features
• Mastered at least one core language: Python, Scala, Java
• Good exposure to concepts like Serverless computing, CI/CD, Containerization, Infrastructure as Code, code version control and automated testing
• Experience building historical and real-time operational ‘feature layers’ to support AI/ML teams
• Excellent understanding of the state of Data Engineering evolution in the industry through active tracks of improving knowledge and skills (e.g. courses, podcasts, books, experimentation, open source volunteering, tech meetups etc.)
• Track record of delivering scalable Data pipeline services running in production.
• Strong ability to communicate with a broad range of clients, colleagues, and partners across a variety of contexts and formats.
• Strong ability to explain design decisions and provide alternatives supported by analysis like pro/con, past experiences etc.
• Strong ability to develop and maintain relationships amongst clients, colleagues, and partners
• Demonstrated capability to lead, inspire, coach and mentor team members and colleagues.

Temus is an equal opportunities employer. We welcome applications from all. We do not discriminate by race, religion, belief, ethnicity, origin, disability, age, citizenship, partnership status, sexual orientation, or gender identity.

We see the diversity of our team as a strategic advantage, and we work actively to maintain it.

By applying for this role, you have read and acknowledge the data privacy statement via this link - temus.com/job-applicant-data-protection/

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Administrator
• Working Location: Benoi
• Working Hours: 5 days (9 am-6 pm)
• Salary Package: Basic Salary $2,500 + AWS + PB + Transport Provided
• Duration: Permanent Role

Key Responsibilities

• Verify trailer/prime mover number, model, and company name.
• Check if an inspection is required and whether the customer uses our account or their own.
• Upload before and after repair photos, ensuring all billable items have photos.
• Review all WhatsApp messages to ensure every completed job is accounted for and submitted in Kintone.
• Verify repair/maintenance job scope. If issues are unclear, confirm with workshop workers to avoid preparing incorrect DO.
• List all job scopes from Kintone in the maintenance report.
• Email the maintenance report to the customer and billing department.
• Perform any other ad hoc tasks assigned by your superior.

APPLY NOW!!!

• Minimum ITE qualification.
• Minimum 1 year of experience in data entry or related field.
• Experienced in Kintone is advantageous.
• Excellent communication skills with clients.
• Willingness to learn.

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 #68538 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