Total 855 data entry clerk job vacancies in Information Technology category in Singapore

We are seeking a highly skilled Senior Data Scientist with deep expertise in Generative AI to design, develop, and deploy innovative AI solutions that drive measurable business impact. This role requires a combination of strong data science fundamentals, hands-on experience with LLMs, NLP, and generative modeling, and a proven ability to build scalable, production-ready systems.

As a key member of our Data Science & AI team, you will spearhead the development of advanced analytics and GenAI-driven solutions across multiple business functions, including:

• Product Assortment and Pricing Optimization
• Supply Chain Optimization
• Demand Forecasting
• Propensity, Loyalty & Customer Segmentation Models
• Recommendation Engines & Personalization
• Marketing Mix Modeling (MMM) & Media Investment Optimization (MIO)

You will apply Regression, Bayesian modeling, Classification, Time Series forecasting, Deep Learning, and Generative AI to power actionable predictions and insights — while expanding AI capabilities into:

• Computer Vision solutions such as object detection/recognition, product imagery analysis
• Image-to-Text modeling, document intelligence, OCR, and multi-modal LLM applications

Key Responsibilities:

• Architect, train, and deploy generative AI models, including large language models (LLMs) and transformer-based systems.
• Develop robust predictive and optimization models using structured and unstructured data sources.
• Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment.
• Partner with cross-functional teams to translate business requirements into scalable AI solutions.
• Drive model lifecycle management from research and experimentation through deployment and monitoring.
• Maintain high standards for model governance, explainability, performance, and ethical AI.
• Stay at the forefront of GenAI advancements and proactively evaluate new tools, methods, and frameworks.

The Data Governance Consultant will leverage Microsoft Purview’s Unified Catalog, Data Map, and Data Quality capabilities to ensure enterprise data assets are high-quality, compliant, and easily discoverable across multi-cloud and on‑premises environments. This role combines deep technical expertise in Purview with strong data analysis skills to assess, monitor, and continuously improve data ecosystems—enabling informed business decisions while mitigating privacy, security, and compliance risks.

Key Responsibilities

Implement Data Governance Frameworks

• Design and deploy Microsoft Purview-based governance solutions, including automated scanning, classification, and lineage tracking.
• Catalog and govern structured, semi-structured, and unstructured data assets across diverse data platforms.

Manage Data Quality Initiatives

• Define, configure, and maintain data quality rules within Purview’s Unified Catalog using no-code/low-code capabilities.
• Execute recurring data quality scans to generate quality scores and identify issues such as inconsistencies, inaccuracies, and missing data.

Monitor and Analyse Data Health

• Utilise Purview dashboards and insights to assess data quality metrics, conduct root cause analysis, and track performance trends.
• Collaborate with data owners and stewards to remediate issues and improve overall data reliability and trustworthiness.

Support Compliance and Risk Management

• Implement sensitivity labels, access controls, and governance policies within Purview.
• Ensure compliance with regulations such as GDPR, CCPA, and internal data governance standards.

Cross-Functional Collaboration

• Partner with data analysts, data engineers, and business stakeholders to embed Purview into data workflows.
• Provide enablement, training, and guidance to support self-service data discovery and governance adoption.

Reporting and Optimisation

• Develop and deliver reports on governance maturity, data quality metrics, and compliance outcomes.
• Continuously optimise Purview configurations to improve scalability, performance, and efficiency across large and complex data estates.

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

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

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is hiring for Data Engineer

You will work in Singapore Government Agencies

Internal Code: A26137

This is a fixed term contract role. The engagement is 2 years.

What will you do?

• Able to communicate well, strong conviction in the Government's mission and good user management skills
• Experienced in running major projects with strong management skills
• Can think of the big picture while being able to deep-dive into details if required
• Able to hands-on and go onsite e.g. project sites if required.
• Design, develop and deploy data tables, views and marts in data warehouses, operational data store, data lake and data virtualization.
• Perform data extraction, cleaning, transformation, and flow.
• Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
• Integrate and collate data silos in a manner which is both scalable and compliant
• Collaborate with Product Manager, Data Architect, Business Analysts, Frontend Developers, Designers and Data Analyst to build scalable data-driven products
• Be responsible for developing backend APIs & working on databases to support the applications.
• Work in an Agile Environment that practices Continuous Integration and Delivery.
• Work closely with fellow developers through pair programming and code review process.

What are we looking for?

• Familiar with GIS platforms: ArcGIS Server, PostGIS
• Able to use spatial Python libraries: GeoPandas, Shapely
• Build scalable geospatial data pipelines for ingestion, transformation, storage, and quality checks from multiple government sources.
• Implements data cataloging, metadata, lineage, and security; optimizes storage and performance for GIS analytics (e.g., PostGIS, data lakes).
• Provides reliable data services and contracts to support downstream GIS analytics and front-end visualizations, collaborating closely with GIS and frontend teams.
• Data management: applies validation, cleansing, reprojection, metadata, and data lineage of geospatial data
• Designs enterprise geospatial data models, schemas, pipelines, and services; builds or configures web map services and front-end visualization components.
• Ensures data quality, standards compliance (ISO 19115/19139, OGC), governance, and operational reliability of GIS data assets.

What do we offer in return?

• Fun working environment
• Employee Wellness Program
• To work in Singapore Government Agencies projects
• We provide structured development framework and growth opportunities. (We are a “SHRI 2025 Gold winner” in “Learning & Development; Coaching & Mentoring”)

Why you'll love working with us?

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success.

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Data Analysis and Research exposure with a Public Agency!

• Up to $5,500 per month
• 11-month contract
• Mon - Fri, office hours
• Central Location

What to expect:

• Support the development, implementation, and testing of a new data analytics system as part of a project team.
• Generate data-driven insights through Excel visualisations (e.g., charts, pivot tables, dashboards)
• and support testing of enhancements to data visualisation tools and pipelines.
• Collaborate with stakeholders including data custodians, data engineers, product managers, and contractors to deliver solutions aligned with organisational needs.
• Co-ordinate project operations such as vendor management, research material reviews, survey platform testing, and ensuring quality deliverables.
• Consolidate and standardise data from multiple sources while maintaining data integrity and consistency.

Requirements:

• Possesses minimum a Bachelor's Degree with 2 years of experience in quantitative market research project management, data profiling and review.
• Working knowledge of R and/or Python would be advantageous.
• Strong analytical skills, detail-oriented with high level of accuracy in data management.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.
• All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Goh Yi Min, Mai - R22104617

ScienTec Consulting Pte Ltd - 11C5781

Location: Singapore (Islandwide – deployment as close to your residence as possible)
Employment Type: Contract (24 / 36 months, renewable)

About the Role

We are hiring on behalf of a leading global technology company with multiple data centers across Singapore.

This role offers a hands-on opportunity to work in a mission-critical, high-availability environment, supporting large-scale IT infrastructure. Training will be provided, making it suitable for candidates looking to build a career in data center operations.

Key Responsibilities

• Perform installation, relocation, and decommissioning of IT equipment (servers, network, storage)
• Handle structured cabling, including patching and de-patching activities
• Provide hardware break-fix support (e.g. HDD, memory, SFP modules, motherboards)
• Troubleshoot IT and network-related issues and escalate when necessary
• Support routine inspections to ensure operational integrity of data center facilities
• Assist in maintenance activities and scheduled changes
• Manage inventory of spares, tools, and RMA processes
• Coordinate and supervise external vendors on-site
• Handle access control requests and support POP site operations
• Prepare task reports and support continuous improvement initiatives
• Participate in shift duties, standby support, and after-hours activities as required

Requirements

• Minimum 1 year of experience in data center operations, OR fresh graduates with relevant technical knowledge are welcome to apply
• Basic understanding of structured cabling and IT hardware
• Hands-on experience in hardware troubleshooting or break-fix support is an advantage
• Strong problem-solving skills and attention to detail
• Ability to work in a fast-paced, operational environment
• Willingness to work shifts and be on standby when required

• Plan and execute marketing initiatives for AI data center and immersion cooling solutions.
• Create professional content: presentations, solution briefs, case studies, and digital/LinkedIn materials.
• Drive local campaigns, webinars, and events to generate leads and strengthen client engagement.
• Collaborate closely with sales and technical teams to develop customer-facing materials and proposals.
• Represent the company professionally at client meetings and industry events.

Requirements:

• Degree in Engineering, IT, Marketing, Business, or equivalent
• At least 5 years of B2B marketing experience in data centers, IT infrastructure, AI/GPU platforms, or cooling solutions.
• Solid understanding of data center operations, rack layouts, cooling technologies, and GPU-based AI systems.
• Ability to translate technical concepts into clear value propositions for non-technical stakeholders.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

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: R1326740

• Plan and execute marketing initiatives for AI data center and immersion cooling solutions.
• Create professional content: presentations, solution briefs, case studies, and digital/LinkedIn materials.
• Drive local campaigns, webinars, and events to generate leads and strengthen client engagement.
• Collaborate closely with sales and technical teams to develop customer-facing materials and proposals.
• Represent the company professionally at client meetings and industry events.

Requirements:

• Degree in Engineering, IT, Marketing, Business, or equivalent
• At least 5 years of B2B marketing experience in data centers, IT infrastructure, AI/GPU platforms, or cooling solutions.
• Solid understanding of data center operations, rack layouts, cooling technologies, and GPU-based AI systems.
• Ability to translate technical concepts into clear value propositions for non-technical stakeholders.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

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: R1326740

• Experience : 8 years
• (SQL Server / Oracle / DB2 / Netezza) – at-least good working knowledge in 2 of these DBApache Spark Streaming or Apache Flink
• Kafka
• NOSQL databases - Cosmos DB, Document DB
• Spark,Dataframe API
• Hive (HQL)
• Scripting language – Shell or bash
• CI CD
• Experience with at least one Cloud Infra provider (Azure/AWS)
  

Good to have Skills :

• Certifications related to Data and Analytics

Responsibilities:

• Perform data extraction, cleaning, generate regular and ad-hoc reports to support in-depth analysis of the branch's operating trends, profitability, and other key performance indicators.

• Collaborate with cross-functional teams and departments to gather data requirements and provide analytical support.

• Work closely with stakeholders to understand their data needs and provide tailored analytical solutions.

• Create and maintain dashboards to monitor key performance indicators (KPIs) and metrics.

• Automate reporting processes to improve efficiency and accuracy.

• Contribute to the development and improvement of data processes and reporting frameworks.

• Support decision-making by translating data findings into practical recommendations.

• Other related duties.

Requirements:

• A recognized University Degree, preferably in Data Science, Data Analytics, Business Analytics, Statistics or related field;

• Minimum 5 years of relevant experience in data analytics;

• Strong analytical skills and good knowledge of the banking industry;

• Strong organizational and management skills with the ability to work independently.

• Strong analytical and problem solving skill, proficient in SAS, SQL, Python, R Programming, MS Excel VBA and BI tools;

• Proficiency in Chinese would be an added advantage as incumbent is required to understand Chinese documents from Head Office.

Location: Punggol
Work Mode: Onsite

Requirements:

• Minimum bachelor’s degree or equivalent professional qualifications in Computer Science, Business Information Systems, Mathematics, Statistics, or similar quantitative discipline,
• 2-5  years of hand-on experience in MS SQL, Jira, Confluence, Qlik Sense, Power BI, eazyBI and relevant data/report-related plugins for these systems
• Excellent command of Excel, and preferably fluent in one or more data analysis languages / technologies / tools, such as Python, SQL, SAS, R, SCALA and similar.
• Basic knowledge in banking operations is required. Having experience as a data analyst or in a related role/field in banking/finance industry is highly desirable.
• Experience in gathering and documentation of business and technical requirements for data collection, analysis, maintenance, and reporting purposes.
• Proficient in designing, developing, modeling, and documenting data-driven solutions – including capturing / creating / utilizing data architectures, metadata systems, data dictionaries, databases, applications, pipelines, BI Tools, Big Data Platforms, analytical /query, and visualization tools.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information
• Exceptional data visualization and communication skills to present findings and insights to senior management and key stakeholders, including non-technical business users.
• Excellent written / oral communication skills to effectively interact with different stakeholders and external vendors, able to work independently under pressure.
• Ability to work effectively in a team-fostered, multi-tasking environment, and a proactive team player who is curious about data and possesses a strong drive to create and lead initiatives.

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Role

Data Scientists bridge the gap between raw data and predictive modelling. We believe everything starts with data. You will work closely with our quantitative research team, applying advanced techniques to engineer, validate, and refine features that feed directly into our systematic models. This is a role within an established investment team, offering opportunities for progression into more senior research responsibilities across the full trading pipeline.

Responsibilities

• Conduct thorough data analysis under the mentorship of a senior quantitative researcher.
• Generate novel ideas for enhanced proprietary data products.
• Track and evaluate new offerings from internal and external data vendors in partnership with Compliance.
• Transform firm approved raw datasets into robust features for our systematic models.
• Build analytical tools to supplement our shared research framework

Requirements

• BS, MS or PhD in finance, economics, mathematics, statistics, data science, computer science, or other quantitative discipline.
• Programming in Python (or a comparable language) and working knowledge of SQL.
• Strong analytical and quantitative skills.
• Willingness to take ownership of their work.
• Ability to work both independently and collaboratively within a team.
• Strong desire to deliver high quality results in a timely fashion.
• High attention to detail.
• Prior experience as a data analyst, data sourcing specialist, or data scientist for a financial firm is a plus
• Commitment to the highest ethical standards. 

Role overview 

The Digital Consultant – Data & Analytics plays a key delivery role within Turner & Townsend Japan’s Digital Consulting practice, supporting the design, implementation, and adoption of data-led digital solutions across major construction and capital projects. 

Working under the guidance of senior digital leaders, you will help translate client and internal business challenges into practical data, analytics, and insight solutions that improve project performance, predictability, and decision-making. 

This role focuses on hands-on delivery, analysis, and client engagement, contributing to digital advisory, reporting and analytics solutions, project controls data environments, and emerging AI-driven insights across Real Estate, Infrastructure, and Energy & Natural Resources sectors. 

Key responsibilities 

1. Data & Analytics Delivery 

• Support the delivery of data and analytics solutions across project, programme, and portfolio environments. 

• Develop dashboards, reports, and analytical models to support project controls, performance management, and executive decision-making. 

• Assist in data preparation, validation, modelling, and visualisation to ensure accuracy, consistency, and usability. 

• Contribute to solution testing, user training, and adoption support. 

2. Digital Advisory & Problem Solving 

• Work with project teams and clients to understand data, reporting, and insight requirements. 

• Apply structured analytical thinking to identify trends, risks, and opportunities within project and portfolio data. 

• Support the development of digital advisory outputs, including insights packs, dashboards, and recommendations. 

• Apply best practice approaches to data governance, quality, and information management. 

3. Stakeholder Engagement & Collaboration 

• Collaborate with project managers, cost managers, planners, and digital specialists to deliver integrated solutions. 

• Communicate clearly with internal teams and client stakeholders, adapting your style to different audiences. 

• Contribute to workshops, requirement-gathering sessions, and solution walkthroughs. 

• Build trusted working relationships through consistent delivery and professional conduct. 

4. Technology & Tools Enablement 

• Contribute to data environments and reporting platforms across cloud and enterprise systems. 

• Support automation of reporting and data workflows where appropriate. 

• Use standard and emerging digital tools to improve efficiency and insight generation. 

• Apply documented standards, templates, and delivery methodologies consistently. 

5. Quality, Governance & Continuous Improvement 

• Follow defined digital delivery standards, governance frameworks, and ways of working. 

• Ensure analytical outputs meet agreed quality, security, and compliance requirements. 

• Identify opportunities to improve processes, reporting, or data maturity. 

• Capture lessons learned and contribute to continuous improvement of digital services. 

6. Business Support & Growth 

• Support preparation of proposals, presentations, and client-facing materials related to data and analytics. 

• Contribute technical input to bids and pursuits under senior supervision. 

• Support development of reusable assets, templates, and analytical models that strengthen Turner & Townsend’s Digital offering. 

Key behaviours 

Love a challenge – Do better every day 

• You apply analytical and problem-solving skills to deliver practical, high-quality solutions. 

• You take responsibility for your contribution, delivering work ethically and to a high professional standard. 

• You seek opportunities to add value and improve performance through data and insight. 

Stronger together – Collaborate to deliver our best work 

• You collaborate effectively across teams and disciplines, sharing ideas and building on others’ contributions. 

• You communicate clearly and positively, adapting your approach to suit your audience. 

• You demonstrate a growing understanding of client, industry, and sustainability challenges. 

Bring out the best in everyone – Always learning 

• You actively develop your technical, consulting, and behavioural skills. 

• You seek and apply feedback to improve your performance. 

• You treat colleagues with respect, empathy, and professionalism, contributing to an inclusive environment. 

About GoTyme

GoTyme is a joint venture between the Gokongwei Group, one of the biggest conglomerates in the Philippines, and the Singapore-headquartered digital banking group Tyme. This venture combines the trusted Gokongwei brand, customer base, and distribution ecosystem with Tyme’s globally proven digital banking technology and hands-on experience building South Africa’s leading digital bank, TymeBank, one of the fastest-growing digital banks in the world today.

At GoTyme, we have embarked on a journey to democratize financial services and bring next-level banking to the Philippines. We seek individuals who share our belief that the game is worth changing, to join our growing team of GoTymers as we build, launch, and scale a bank that empowers all Filipinos to navigate a path to financial freedom.

About the role

We are looking for a highly analytical and detail-oriented Analyst / Senior Analyst – Fraud Strategy & Analytics to join our Fraud Analytics Team. You will play a key role in developing, implementing, and optimizing fraud prevention and detection strategies across GoTyme Bank’s products and digital channels. You will analyze complex datasets, identify emerging fraud trends, and work closely with cross-functional teams to balance fraud loss mitigation with customer experience.

• Fraud Strategy & Analytics
• Monitor transactional and behavioral data to identify patterns indicative of fraudulent activity.
• Develop and enhance rule-based and model-driven fraud detection strategies for digital banking products (e.g., cards, transfers, deposits, lending).
• Conduct deep-dive investigations into fraud cases and recommend preventive actions.
• Partner with product, technology, and data teams to enhance fraud monitoring systems and controls.
• Support the design, testing, and rollout of new fraud mitigation tools and analytics capabilities.
• Prepare regular performance reports and present fraud insights to senior management.
• Participate in incident reviews, risk assessments, and process improvement initiatives.
• Innovation and Research
• Experiment with new tools, techniques, algorithms and methodologies to enhance the bank’s capabilities. 

Must Haves

• Bachelor’s degree or higher in applied mathematics, statistics, computer science, physics, data science, economics, engineering or equivalent quantitative discipline.
• 2–5 years of experience in fraud analytics or credit strategy or analytics within banking, fintech, or payments.
• Experience in first-party, third-party, or synthetic fraud risk management is preferred.
• Knowledge of machine learning techniques for fraud detection is preferred.
•  Strong SQL for data manipulation and reporting.
• Proficiency in Python for analytics, modeling, and automation.
• Exposure to AI/ML frameworks (advantageous but not required).
•  Proficiency in Excel, and/or data visualization tools (e.g., Tableau, PowerBI).
• Strong analytical problem-solving skills and attention to detail. 
• Excellent communication skills – able to present complex findings in a clear, concise manner.
• Experience in fintech, digital banking, or technology-driven financial institutions preferred.

Have you ever wondered how insurance companies calculate the price of insurance policies?  

The Corporate Actuarial Data & Technology Team is a dynamic, growing team at Arch. This team implements innovative insurance pricing models and analytical tools to improve profitability and growth across a wide range of Property & Casualty insurance products.  

The Data Engineer will implement complex databases and data pipelines that put analytics at the heart of real-time decision-making. They will work closely with leaders across the company on high-profile analytics projects that drive business strategies. They provide technical guidance and ensure the use of sound engineering practices and effective use of resources.  As a key member of the Corporate Actuarial Data & Technology data engineering team, they will advance our implementation capabilities and help our team deliver solutions faster.  

Responsibilities:

• Work with strategic partners to solve business problems by developing best-in-class data solutions  
• Perform data manipulation using SQL and Python to develop data assets 
• Leverage technology to automate data ingestion, transformation and integration 
• Provide the appropriate level of documentation of sources and technical solutions 
• Evaluate data quality and completeness 
• Build strong partnerships with peers across the organization to support data-related goals  
• Explore new technologies and data sources with curiosity and creativity 
• Identify, design, and implement internal process improvements: automating manual processes and optimizing data pipelines 
• Discover and explore new sources of data with curiosity and creativity 
• Create and maintain optimal data pipeline architecture