We are seeking an experienced Data Architecture & Innovation specialist to drive enterprise-wide data and innovation initiatives across the organization.

This role will be responsible for shaping the enterprise data landscape, governing data architecture, evaluating emerging technologies, and driving business transformation through innovative solutions. The successful candidate will work closely with business and technology stakeholders to deliver scalable, future-ready platforms and improve operational efficiency.

Key Responsibilities

Data Architecture & Technology Innovation

• Define and govern enterprise data architecture, including Data Fabric and integration frameworks.
• Evaluate and implement emerging technologies such as AI, IoT, automation, and advanced analytics platforms.
• Drive enterprise-wide data transformation initiatives and technology adoption.

Data Platforms & Integration

• Oversee the architecture and integration of enterprise data platforms and interfaces.
• Collaborate with internal teams and technology partners to ensure scalable, secure, and efficient data solutions.
• Establish best practices for data integration, interoperability, and platform governance.

Business Transformation & Process Optimisation

• Identify opportunities to improve business processes through technology, automation, and AI-driven solutions.
• Lead initiatives to improve operational efficiency and deliver measurable business value.
• Develop and execute innovation roadmaps aligned with business objectives.

Stakeholder & Vendor Management

• Partner closely with business, IT, and external vendors to deliver strategic technology initiatives.
• Present recommendations, architecture designs, and innovation strategies to senior management.
• Manage vendor engagements, project deliverables, and implementation activities.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Minimum 7 years of experience in Data Architecture, Enterprise Architecture, Data Platforms, or Technology Innovation.
• Strong experience in enterprise data architecture, data platforms, and integration technologies.
• Experience with Data Fabric architectures, data integration frameworks, and enterprise data ecosystems.
• Good understanding of emerging technologies such as AI, automation, IoT, and advanced analytics.
• Experience with analytics and visualization tools such as Tableau and Power BI will be advantageous.
• Strong stakeholder management, communication, and project leadership skills.
• Experience in process optimisation, digital transformation, or enterprise innovation initiatives is highly preferred.

Preferred Skills

• Knowledge of automation technologies and RPA solutions.
• Familiarity with enterprise architecture principles and governance frameworks.
• Exposure to Lean, Six Sigma, or process improvement methodologies will be an advantage.

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at kinlong.fok@quesscorp.sg with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Quess Selection & Services Pte Ltd

EA Licence No: 23C2060 | EAP Registration No: R2095054

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to Quesscorp Singapore’s PDPA and e2i’s PDPA

· Background in engineering, computer engineering, computer science, mathematics, statistics, or equivalent.

· Strong technical knowledge in AI

· Good understanding of the latest research and technologies in AI for productiondeployment

· Strong coding experience in programming languages such as Python and/or C++

· Experience working with libraries for data manipulation, visualization, machine learning, and reporting.

· Hands-on experience with one or more deep learning frameworks, e.g., TensorFlow, Torch

· Extensive experience with OpenAI and Claude code-based prompt engineering.

· Hands-on experience developing and deploying AI agents, RAG and vector/graph databases.

· Strong understanding of 3D geometry, vector math, and coordinate systems

· Experience with algorithms for mesh manipulation, Boolean operations, and geometrictransformations

· Proficiency in relevant 3D modeling or CAD software (e.g., Blender, Rivet) and/or programming libraries (e.g., OpenGL, CGAL, Three.js)

· Team player with the ability to work in a cross-functional team with excellent interpersonal skills

· Strong communication skills, both verbal and written, as well as strong presentation and engagement skills

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Responsibilities:

• Lead and collaborate with data scientists and analysts to drive innovation, knowledge sharing, and continuous improvement.
• Design, develop, and deploy robust analytical and machine learning models using advanced statistical techniques.
• Partner with business and technical stakeholders to identify key challenges and translate them into data-driven solutions.
• Develop dashboards and data visualisations to effectively communicate insights to technical and non-technical audiences.
• Stay current with emerging data science trends, tools, and methodologies, applying relevant advancements where appropriate.
• Contribute to the establishment and enhancement of data governance, data quality, and analytics best practices.

Requirements

• Master’s degree or PhD in Data Science, Statistics, Machine Learning, Computer Science, or a related quantitative discipline.
• Significant hands-on experience in data science or advanced analytics roles, preferably within complex engineering or operational environments.
• Strong proficiency in Python and/or SQL, with experience using machine learning libraries and frameworks.
• Demonstrated ability to manage multiple projects concurrently and deliver high-quality outcomes in a fast-paced setting.
• Strong analytical and problem-solving skills, with the ability to interpret and extract insights from complex datasets.
• Excellent communication and stakeholder engagement skills, with the ability to explain technical concepts clearly to non-technical audiences.
• Familiarity with enterprise systems (e.g. PLM, MES, MRO) and cloud platforms such as AWS will be advantageous.

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

Key Responsibilities

• Work with product owners, engineering teams, and industry partners throughout the product development lifecycle from concept, design, prototyping, acceptance testing, data curation, delivery, operationalisation, industry proliferation, to product end-of-life
• Technical assessment on the maturity, viability, and suitability of AI research, technologies and trends that are relevant to the industry
• Develop and deploy software components based on microservices-based architecture
• Participate in agile secure software development processes and best practices, documentation of user requirements and software codes during the software development lifecycle
• Propose, implement, and validate algorithms, ensuring functional and non-functional requirements such as transparency, fairness, scalability, security, integration complexity and operational costs

Requirements

• Background in engineering, computer engineering, computer science, mathematics, statistics or equivalent
• Strong technical knowledge in AI
• Good understanding of the latest research and technologies in AI for production deployment
• Strong coding experience in programming languages such as Python and/or C++
• Experience working with libraries for data manipulation, visualization, machine learning, and reporting.
• Hands-on experience with one or more deep learning frameworks, e.g., TensorFlow, Torch
• Extensive experience with OpenAI and Claude code-based prompt engineering.
• Hands-on experience developing and deploying AI Agents, RAG and vector/graph databases.
• Strong understanding of 3D geometry, vector math, and coordinate systems
• Experience with algorithms for mesh manipulation, Boolean operations, and geometric transformations
• Proficiency in relevant 3D modeling or CAD software (e.g., Blender, Rivet) and/or programming libraries (e.g., OpenGL, CGAL, Three.js)
• Team player with the ability to work in a cross-functional team with excellent interpersonal skills
• Strong communication skills, both verbal and written, as well as strong presentation and engagement skills

• AWS + Variable Bonus provided

• Permanent job

• Working location: Pioneer (Various pick up points at MRT station)
  

Our client are looking for a motivated junior-level professional to join their team and help drive data-led improvements across our operations. From developing machine learning models to collaborating with R&D, operations, and IT, you will play a key role in solving complex challenges and delivering tangible results.

Job duties:

1. Develop, validate, and deploy Machine Learning, Deep Learning, and Generative AI models for production environments

2. Analyze operational data and derive insights for decision-making and smooth operations

3. Partner with business stakeholders to gather requirements and define project objectives

4. Design and implement data pipelines for data preprocessing, model training, evaluation, and deployment

5. Perform data validation and support data quality improvement initiatives

6. Monitor, maintain, and improve models and analytical systems

7. Prepare clear reports and presentations to communicate findings and recommendations

8. Provide technical support and documentation for deployed solutions

9. Other tasks as assigned by the supervisor
   

Job Requirements:

• Bachelor’s Degree in Data Analytics/Data Science/Computer science/ Engineering fields

• Candidate with no working experiences but with good understanding about data analytics or machine learning are welcome to apply

• Proficiency in Python and standard data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, Keras)

• Fundamental understanding of machine learning and deep learning algorithms

• Working knowledge of SQL and relational databases (e.g., PostgreSQL, Oracle)

• Strong analytical and problem-solving skills

• Effective written and verbal communication skills

• Ability to work collaboratively in a structured, cross-functional corporate environment

• Demonstrated willingness to learn and adapt to new technologies

  
  

Interested applicants, please send your resume to Tiffany Koh (R1104633) with email subject header "Job Application for Data Scientist (Data Analyst) - TK " .

We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.

By submitting any resumes or applications to Pasona Singapore Pte Ltd, you are considered to have read and agreed on the terms of our Privacy Policy, and consented to us collecting, using, retaining, disclosing your personal information to the prospective employers for their consideration.

Please find our Privacy Policy Agreement from the below link.

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Thank you for your kind understanding and co-operation.

Pasona Singapore Pte Ltd

EA License No:90C4069

R1104633

Koh Jia Wen

·Bachelor's degree in Computer Science, Data Science, AI/Machine Learning, or a related technical field

· 3+ years of experience in AI/ML engineering or related technical roles

· Strong programming skills in Python, with experience in AI/ML libraries (TensorFlow, PyTorch, scikit-learn)

· Experience with cloud infrastructure management for AI workloads (AWS, Azure, or GCP)

· Knowledge of MLOps practices, model deployment, and monitoring

· Experience with API development and integration, particularly for AI services

· Understanding of data pipeline tools and ETL processes for AI applications

Meta designs, builds, leases and operates innovative and efficient data centers. Locating, developing and managing this data center infrastructure the "right" way is synonymous with ensuring capacity availability, speed to market, risk management, flexibility, and capital and operational cost efficiency. Meta is seeking an experienced, organized and driven development (program) manager to join the Data Center Site Development team and help build our rapidly scaling data center portfolio.

A successful Development Manager candidate demonstrates the ability to think both analytically and strategically, to dive into the details and also assess projects from a global view, and to develop creative solutions and navigate the challenges that accompany projects of large magnitude and scale. The Development Manager is also an experienced project manager who communicates effectively, forms partnerships, and influences and drives desired outcomes with internal and external stakeholders.

Responsibilities

• Site Evaluation & Selection
• Evaluate opportunities for new data center sites, campus expansions, and strategic land acquisitions by conducting market assessments, including analysis of power availability, fiber connectivity, labor markets, land costs, tax environments, and natural hazard exposure
• Lead the diligence and development process to vet prospective sites and assess site risks and opportunities by analyzing regional and site-specific information pertaining to:
• Permitting and land-use data
• Federal, state, and local tax structures, incentive programs, abatement opportunities, enterprise zone designations, and economic development agreements
• Energy availability, cost, and reliability — including renewable energy procurement pathways, grid capacity, interconnection timelines, and utility rate structures — as well as water supply, capacity, and long-term sustainability
• Natural hazard, floodplain, seismic, and climatological data
• Legal, physical risk, and financial implications, including title encumbrances, easement constraints, environmental liabilities, and geotechnical conditions
• Develop and maintain site evaluation scorecards and comparative frameworks that enable data-driven decision-making across multiple candidate locations
• Conduct preliminary desktop and in-person site visits to validate data findings and assess physical site conditions, access, and surrounding land use compatibility
• Regulatory & Permitting
• Facilitate compliance efforts related to real estate, land use, and utility regulatory matters
• Facilitate application and management of environmental permitting processes, including preparation of environmental impact assessments, stormwater management plans, wetland delineation reviews, air quality permits, noise studies, and endangered species consultations
• Facilitate interpretation of regulations and assess their impact on Meta's data center footprint, operations, and future expansion plans
• Monitor legislative and policy developments related to energy, water, land use, and data center operations, proactively identifying risks and opportunities for Meta's portfolio
• Ensure ongoing compliance with all conditions of approval, permit requirements, and development agreements throughout the construction and operational lifecycle of each site
• Utility & Infrastructure Negotiations
• Facilitate negotiations with electric utility companies to secure reliable, cost-effective power supply agreements, including terms related to capacity, redundancy, rate structures, renewable energy commitments, interconnection timelines, and infrastructure cost-sharing
• Facilitate negotiations with water and wastewater utility providers to establish supply agreements, secure adequate capacity for cooling and operational needs, and ensure compliance with discharge and conservation requirements
• Maintain strong working relationships with utility planning and engineering teams to stay ahead of infrastructure constraints and future capacity limitations
• Advocate for infrastructure improvements or upgrades necessary to support data center development, including transmission line extensions, substation upgrades, and water main improvements
• Stakeholder coordination & communication:
• Take the lead role in organizing cross-functional communications and tracking progress toward on-time delivery of projects by key internal and external stakeholders in support of site selection and development efforts
• Work closely with the Site Selection Manager and other key project team members to ensure alignment among all internal stakeholders and to identify creative, efficient ways to overcome obstacles in the site development process
• Coordinate cross-functional responses to external parties such as government authorities, utility companies, regulatory bodies, industry associations, economic development organizations, and community groups
• Serve as the primary liaison between internal teams and external consultants (land-use attorneys, environmental engineers, civil engineers, lobbyists, and real estate brokers) to ensure deliverables are completed on time and to specification
• Facilitate regular project status meetings, maintain action item trackers, and produce executive-level progress reports for leadership review
• Strategy & Portfolio Management
• Support the development of Meta's near-term and long-term data center location strategy and leased portfolio plan
• Support the preparation of project recommendations, business cases, and investment proposals for presentation to senior management for approval
• Support a portfolio of existing sites under construction or in operation to facilitate on-time and quality delivery
• Track and monitor ongoing site development activities, including agreement management, milestone tracking, financial obligation compliance, and renewal/amendment negotiations
• Maintain a comprehensive database of site-specific entitlements, permits, agreements, and regulatory commitments for all sites within the assigned portfolio
• Process Improvement & Tools
• Develop scalable, efficient tools and processes to improve delivery, communication, and knowledge management for data center site development activity
• Create and maintain standardized templates, checklists, and workflows for site evaluation, permitting, and stakeholder engagement
• Identify opportunities to leverage technology to enhance team productivity and decision-making
• Document lessons learned from completed projects and incorporate best practices into future development activities
• This role requires 25-50% travel

Minimum Qualifications

• Bachelor's degree in Real Estate, Engineering, Computer Science, Operations or Business
• 5+ years of experience in critical facility site development, commercial real estate development, infrastructure development, data center site selection, or equivalent experience
• Experience in managing multiple projects and coordinating with internal staff, external consultants, vendors, and other stakeholders across multiple time zones
• Experience with a range of project management tools and software, (e.g., Google Suite, Excel, PowerPoint, project management software, etc.)

Preferred Qualifications

• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• 7+ years of experience in critical facility site development, commercial real estate development, infrastructure development, data center site selection, or equivalent experience
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Advanced / Master’s degree in the academic fields listed above
• 7+ years of experience with evaluation and planning for land use diligence, power and water utilities, cooling technology, site development, entitlements, permitting

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.

About the Role

We are seeking a strategic and hands-on analytics leader to drive the end-to-end delivery of data insights that inform business decisions and organisational strategy. This role combines leadership, advanced analytics, and stakeholder engagement to unlock the value of data and translate it into meaningful outcomes.

You will lead a high-performing team to turn complex data into clear, actionable insights, while partnering with internal and external stakeholders to strengthen data-driven decision-making.

Key Responsibilities

Analytics Leadership & Delivery

• Lead the compilation, analysis and reporting of key performance indicators, ensuring timely and accurate insights delivery
• Translate complex datasets into actionable recommendations for business and industry stakeholders
• Oversee data cleaning, ingestion, transformation and analysis across multiple data sources

Strategy & Insight Generation

• Design and drive analytics strategies using both quantitative and qualitative methodologies
• Apply statistical techniques, forecasting models and data visualisation tools to generate insights
• Identify trends and emerging issues to guide strategic decision-making

Stakeholder Management & Collaboration

• Partner with cross-functional teams, including product, engineering and business stakeholders
• Coordinate with Whole-of-Government (WOG) agencies and external partners on data initiatives
• Provide advisory on data, analytics and economic impact assessments

Operations & Governance

• Oversee reporting cycles, publications and stakeholder data requests
• Ensure high standards of data governance, quality and integrity
• Manage vendors, contracts and end-to-end data operations

Team Leadership

• Lead, mentor and develop a high-performing analytics team
• Foster a culture of innovation, collaboration and continuous learning
• Guide the team in aligning analytics outputs with organisational priorities

What We’re Looking For

Experience & Expertise

• Minimum 8 years’ experience in data analytics, including at least 3 years in a leadership role
• Strong foundation in analytics, statistics, economics, applied mathematics or related disciplines
• Proven experience in data wrangling, modelling, visualisation and insight generation
• Familiarity with statistical modelling, forecasting and market research methodologies

Technical Skills

• Proficiency in analytics tools such as Python, R and SQL
• Experience working with large, complex datasets and multiple data sources
• Ability to integrate analytics outputs into dashboards or platforms

Business & Communication

• Strong ability to translate data into business value and strategic recommendations
• Confident communicator with experience engaging senior stakeholders
• Proven ability to influence and collaborate across diverse teams

Personal Attributes

• Strong analytical thinking with attention to detail
• Self-driven and adaptable in fast-paced environments
• Effective project and stakeholder management skills
• Curious mindset with a passion for learning and innovation

Preferred (but not essential)

• Experience in client-side research or applied analytics environments
• Knowledge of economic impact analysis or cost-benefit assessment

Why Join Us

• Shape strategic decisions through impactful data insights
• Lead meaningful analytics work with real-world outcomes
• Work with diverse stakeholders across industries and sectors
• Grow and develop a high-performing analytics team

"Interested applicants, please email your resume to jacky.wong@persolapac.com or WhatsApp+65 9118 4028 for a confidential discussion about the role."

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

By sending us your personal data and CV, you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with GO’s Terms of Use https://go.persolkelly.com/Tac and the Privacy Policy. If you wish to withdraw your consent, please email us at sg.dataprotection@persolapac.com Please feel free to contact us if you have any queries. 

EA License No: 01C4934 PERSOL Singapore Pte Ltd

EA Personnel No: R1107106

Wong Chee Ann Jacky

Responsibilities

• Design and develop scalable backend services integrating with external vendor systems via RESTful APIs
• Implement robust data ingestion services including pagination and incremental/time-window retrieval
• Handle API error handling, retries, and idempotent processing to ensure reliable integrations
• Build and maintain data pipelines for processing large volumes of transactional and event data
• Perform data transformation, validation, and enrichment for downstream systems
• Support batch and near real-time data processing workflows
• Develop and deploy applications using Microsoft Azure services such as Azure Functions, App Services, Storage, Key Vault, APIM, and VNET
• Design scalable, resilient, and highly available cloud-native solutions
• Implement observability practices including logging, monitoring, and alerting
• Ensure data accuracy, consistency, and reconciliation across multiple data sources
• Support auditability and traceability of data flows for regulatory requirements
• Collaborate with external vendors on API contracts and integration designs
• Deliver high-quality, maintainable, and reusable software solutions
• Contribute to engineering standards, best practices, and continuous improvement initiatives
• Support CI/CD pipelines, automated testing, and continuous delivery practices

Requirements

Core Technical Skills

• Strong proficiency in Python (preferred) or backend languages such as Java or Node.js
• Strong SQL proficiency including PostgreSQL, MySQL, or T-SQL
• Solid experience building backend services and API integrations
• Experience working with RESTful APIs and JSON payloads
• Knowledge of secure integration patterns including API keys, TLS, certificates, and PGP

Good understanding of:

• Pagination, filtering, and incremental data retrieval
  Idempotency, retries, and distributed system failure handling
• Experience with data visualisation tools such as Power BI, including connectivity and configuration

Data Engineering & Processing

• Experience building batch or streaming data pipelines
• Familiarity with data transformation, validation, and data modelling
• Experience handling large datasets and high-volume ingestion systems
• Understanding of data reconciliation and audit requirements is an advantage

Databases

• Experience with relational databases such as PostgreSQL or MS SQL
• Knowledge of query optimisation and large-scale data handling

Cloud & DevOps

• Experience with cloud platforms, preferably Microsoft Azure
• Experience setting up and managing CI/CD pipelines using GitLab CI/CD or similar tools
• Familiarity with Docker/containerisation is an advantage

Observability & Reliability

• Experience implementing logging, monitoring, metrics, and alerting solutions
• Understanding of system reliability and fault-tolerant design principles

JOB DESCRIPTION

• Own data science problems end-to-end: from framing the business question, through modelling, to deployment and measuring real-world impact.
• Develop and deploy machine learning models for prediction, classification, forecasting, and anomaly detection.
• Apply LLMs and generative AI where they're the right tool — prompt pipelines, RAG, and API integrations with foundation models.
• Perform exploratory analysis and communicate insights clearly to non-technical stakeholders — your findings should drive decisions
• Partner with our data analyst and IIoT connectivity team to define the data requirements your models need
• Work with PM and IT peers to translate business problems into AI solutions

JOB REQUIREMENT

• Bachelor’s degree in Data Science, Computer Science, or a related field (or equivalent practical experience).
• At least 2 years of experience in Data Science or ML engineering, with models or data products that reached production.
• Strong Python and SQL, plus solid fundamentals in statistics and the standard ML toolkit (pandas, scikit-learn, XGBoost or similar).
• Hands-on exposure to LLMs: prompt engineering, RAG, or integrating model APIs (e.g. Azure OpenAI, or open-source models).
• Experience in the manufacturing industry — familiarity with industrial data (sensors, MES/ERP systems) or supply chain management is a strong advantage.

CLaaS2SaaS is a Singapore-headquartered Pan-ASEAN AI Acceleration Platform committed to advancing inclusive digital economy transformation across Southeast Asia. With a growing presence across Singapore, Malaysia, Indonesia, Philippines, Vietnam, Cambodia, Myanmar, Sri Lanka, India, and China, we work closely with higher education institutions, enterprises, SMEs, and governments to accelerate workforce and digital transformation in the AI era.

Driven by a Skills-First, Work-Integrated Learning innovation, CLaaS2SaaS combines work-integrated learning with AI-powered adaptive technologies to develop industry-ready digital talent and support lifelong career growth. Our innovative learning ecosystem enables faster and more effective workforce transformation, empowering individuals with practical skills, real-world industry experience, and meaningful career outcomes.

At the same time, we support enterprises in adopting intelligent digital solutions and scalable AI-enabled services that enhance productivity, workforce capabilities, and operational efficiency. By connecting education, industry, and technology within a unified ecosystem, CLaaS2SaaS is building a more connected, agile, and AI-powered ASEAN economy for the future.

Job Objective

·Support blended learning journey for our learners to achieve superior learning experience and successful skills outcome.

·Be a subject matter expert and mentor students throughout their learning journey

·Learning Delivery and Operations Management – Execute eduCLaaS’ courses in accordance with its well-defined learning delivery, learning operations and learning technology policies and procedures in order to achieve best results in learner satisfaction.

·Financial Management – Responsible to execute the various cohorts/programmes with time, budget and P&L. Leverage the use of data analytics to analyse the profitability of the programmes.

Technical Skills and Competencies

·Extensive experience in Programme Management

·Well versed in Education/University frameworks

·Good skills in Financial and Risk Management

·Good understanding of Educational Technology and its implementation.

Requirements

·Bachelor’s degree is required.

·Proven experience as a facilitator, speaker, or coach.

·5+ years of experience in data science and machine learning

·Strong communicator.

·Great empathy skills.

·Assess the training needs of learners and adjust your delivery accordingly.

·Working knowledge of the following:

• Azure
• Solid foundation and advanced level understanding of R Programming, SQL, Python, Machine Learning, AI, Spark, Statistics
• Python base packages as Numpy, Pandas, Scikit learn, Seaborn & MatplotLib
• Experience using business intelligence tools (e.g. Tableau,PowerBI) and data frameworks (e.g. Hadoop, Spark)
• Azure Machine Learning knowledge especially with data and ML stack
• High proficiency with standard database skills (e.g., SQL), data preparation, cleaning, and wrangling/munging.

Good to have

Microsoft Power BI certification
Microsoft Machine Learning certification

Desirable Traits

Possess good English competency level (because the class is conducted in English)

Nurturing, committed, hardworking, proactive, accountable, driven

Good interpersonal, communication and organizational skills

Role Overview
A banking institution is looking for a Data & Analytics Engineer to support AI-driven operations analytics, with a focus on log analysis, incident insights, and data modelling for intelligent operations. This role sits at the intersection of data engineering, analytics, and AI enablement.

Key Responsibilities

Data Engineering & Pipelines

• Design and build data pipelines for logs, incident records, and infrastructure metrics

• Integrate with log aggregation and monitoring platforms

• Structure and prepare data for AI and analytics consumption

AI-Driven Analytics

• Enable log correlation and intelligent reasoning using AI tools

• Collaborate with AI teams to feed structured data into machine learning models

Operations Analytics Use Cases

• Deliver analytics for incident management, storage and infrastructure metrics, and log monitoring insights

Dashboard & Visualisation

• Build dashboards using business intelligence and monitoring tools

• Present insights to leadership and support demo and rollout activities

Data Modelling & Governance

• Design data models for operational analytics

• Ensure data quality, consistency, and scalability across solutions

Requirements

Technical Skills

• Strong experience in SQL and data modelling

• Hands-on experience with ETL and data pipelines

• Proficiency with business intelligence tools (e.g., Power BI or similar)

• Experience with log and monitoring platforms (e.g., Elastic, Splunk, or similar)

• Exposure to AI/ML concepts or LLM integration
  

  Interested candidates please email your latest resume to subagio@tangspac.com

• Installing/de-installing/relocating all distributed systems and network hardware (CSUs, DSUs, routers, switches, encryptors, firewalls, etc.) in the Americas Data Centers within the internal service level mandates.
• Installing/de-installing/extending/relocating/testing all carrier circuits to the network hardware.
• Installing/de-installing/relocating all patch cabling for systems and network hardware.
• Installing/de-installing/relocating all Data Center hardware.
• Assist with the coordination of cabinet power, circuit and patch infrastructure installations with various facilities, electrical and communications vendors.

Skills/Requirement

• Experience in the implementation, maintenance and analysis of data center facilities, hardware, communications infrastructure, strategies, tools and effective troubleshooting techniques.
• Basic background on enterprise data center facilities and infrastructure environments.
• In-depth knowledge of complex, Enterprise class inter-networked environments involving a combination of switched/routed/shared Ethernet.
• Strong knowledge of WAN technologies (OC-x, DS-x), subnetting and TCP/IP protocol is a must.
• Excellent communication and writing skills are a must.
• Knowledge of trouble ticketing systems, change control, Project processes and associated tools.
• Logical problem-solving techniques and associated experience in system, data center facilities and telecommunications.
• Experience with project management.
• Financial Services industry knowledge is a plus.

About Us:

Tentacle Tech is an IT and software development consulting company serving some of Malaysia's largest enterprises. We deliver technology solutions, software development services, and IT consulting across multiple industries. We are looking for a talented professional to join our growing team in the technology sector.

The Role:

We are seeking an experienced Technical Architect – Data & AI to design and lead the implementation of enterprise-scale Data, Analytics, AI, and Generative AI solutions within the technology sector. You will bridge business requirements and technology, collaborating with stakeholders, data engineers, data scientists, and cloud architects to deliver scalable, secure, and innovative data-driven outcomes.

What You'll Do:

• Define end-to-end architecture for Data, Analytics, Machine Learning, AI, and Generative AI solutions
• Design data platforms, data lakes, data warehouses, and modern lakehouse architectures
• Architect batch and real-time data ingestion pipelines and ETL/ELT frameworks
• Design Generative AI applications using LLMs, RAG, vector databases, and prompt engineering
• Build and establish MLOps and LLMOps practices for deployment, monitoring, and governance
• Design cloud-native solutions on AWS, Azure, or Google Cloud, covering security, performance, and cost optimisation
• Engage stakeholders and present architecture solutions to executive and project teams

What We're Looking For:

• Bachelor's or master's degree in computer science, Information Technology, Data Science, or a related field
• 10+ years of IT experience with at least 3+ years in Solution Architecture
• Strong hands-on experience designing enterprise Data and AI solutions
• Proficiency with cloud platforms (AWS, Azure, or GCP) and associated managed services
• Experience with data technologies including Snowflake, Databricks, Azure Synapse, and Microsoft Fabric
• Hands-on knowledge of Python, SQL, Spark/PySpark, and DevOps/MLOps tooling (Docker, Kubernetes, Terraform, MLflow)

• Familiarity with Singapore Government technology standards, GCC environments, and GovTech governance frameworks is highly advantageous

What We Offer:

• Competitive salary
• Exposure to cutting-edge Data and AI technologies at enterprise scale
• Career progression opportunities within a growing technology consultancy
• Mentorship and knowledge-sharing with experienced technical leaders
• Collaborative and supportive team environment

How to Apply

Apply now with your latest CV or reach out to our recruitment team to learn more.

- Industrial Automation & Inspection Equipment
- Walking distance from Lavender / Bendemeer MRT
- No prior experience required as training provided​

Responsibilities

• Create, maintain, and analyze sales and market data using Excel, SAP, and company software

• Use data insights to guide sales direction and market development strategies

• Proactively propose ideas to improve sales performance

• Investigate root causes behind sales outcomes and market trends

• Support lead generation, promotional campaigns, and B2B marketing initiatives

• Double-check completed work to ensure accuracy and data integrity

Requirements

• Minimum Bachelor's Degree in any field

• Proficient in Microsoft Excel

• Knowledge of Modern Excel, Power BI, or Power Automate is a plus

• Proactive in proposing ideas for sales improvement

• Curious and analytical – investigates reasons behind outcomes

• Purpose-driven – always questions the "why" behind actions

• High hospitality standards – anticipates and understands others' needs

• Action-oriented – ready to take immediate action

Please send your updated CV to josie.cha@peopleprofilers.com

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

We regret that only shortlisted candidates will be notified.

EA Personnel: Cha Zi Jing Josie
EA Registration No.: R24124843
People Profilers Pte Ltd
EA Licence Number: 02C4944
Tel: 6950 9756

Job Description

• Handle admin duties

• Data entry

• Filing and scanning of documents

• Prepare invoices and quotations

• Other duties as assigned

Topaz Liang Huimin

CEI Registration No: R1104500

Email: west1@recruitexpress.com.sg

Recruit Express Pte Ltd (EA: 99C4599)

Role Summary

We are seeking a highly skilled Big Data Engineer with strong experience in PySpark and Scala to design, build, and optimizelarge-scale data processing systems.

The associate will work on distributed data platforms, enabling real-time and batch analytics solutions across enterprise data ecosystems.

The role involves building scalable data pipelines, data lakes, and streaming solutions leveraging modern big data technologies.

This role requires a combinationof:

Strong PySpark + Scala coding

Deep big data architecture knowledge

Hands-on experience with streaming + cloud data engineering

Required Skills

Core Technologies

Strong hands-on experience in:

PySpark & Apache Spark

Scala programming

Expertise in:

Spark SQL, Data Frames, RDDs

Distributed data processing frameworks

Key Responsibilities

• Process and prepare data files for printing (e.g., formatting, validation, sorting)
• Operate and monitor printing systems and related software
• Ensure accuracy and completeness of data before print production
• Troubleshoot basic system, file, or print issues
• Maintain logs and records of processed jobs
• Perform file conversions (e.g., PDF, CSV, print-ready formats)
• Coordinate with design, production, or customer teams as needed
• Adhere to data security and confidentiality standards
• Meet deadlines for high-volume print jobs
• Knowledge of PrintSoft and Excel will be added advantage.

Responsibilities:

• To support and deliver any activities which required 24x7
• To support Service Request, Incident and Change activities
• To support and deliver requested Daily Infra Operations activities
• To support and deliver requested Environment Operations activities
• To support and deliver requested task from Projects team
• To support and deliver requested task from IT Initiative Projects
• To support, coordinate, monitor and supervise any external vendor working in restricted facilities

Requirements:

• Minimum of 1-3 years hands-on experience in providing Data Center support
• Minimum 1-3 years of cabling experience (preferably structured cabling)
• Degree or diploma in IT would be an advantage
• Ability to work independently with minimal supervision
• Able to communicate messages clearly and concisely
• Ability to maintain high-quality performance and constantly deliver results in a timely manner

Responsibilities

We are looking for a seasoned BAU Lead - Data Engineering to lead our data

operations and support function in a cloud-first environment. The ideal

candidate will bring strong technical leadership, hands-on expertise in AWS

and Snowflake, and proven experience in managing Business-As-Usual (BAU)

data platforms, production support, and continuous improvement initiatives.

▪ Develop tools to improve data flows between internal/external systems

and the data lake/warehouse.

▪ Work with stakeholders to understand needs for data structure, availability,

scalability, and accessibility.

▪ Build robust and reproducible data ingest pipelines to collect, clean,

harmonize, merge, and consolidate data sources.

▪ Understanding existing data applications and infrastructure architecture

▪ Build and support new data feeds for various Data Management layers and

Data Lakes

▪ Evaluate business needs and requirements.

▪ Support migration of existing data transformation jobs in Oracle, and MS[1]SQL to Snowflake.

▪ Lead the migration of the existing data transformation jobs in Oracle, Hive,

Impala etc. into Spark, Python on Glue etc.

▪ Able to document the processes and steps.

▪ Develop and maintain datasets.

▪ Improve data quality and efficiency.

▪ Lead Business requirements and deliver accordingly.

▪ Collaborate with Data Scientists, Architect and Team on several Data

Analytics projects.

▪ Collaborate with DevOps Engineer to improve system deployment and

monitoring process.

▪ Experience in critical production support and how the BAU functions is

preferred.

Requirements Key Skills:

▪ Lead a team of data engineers in managing day-to-day BAU operations,

production support, incident management, and platform stability.

▪ Strong AWS knowledge in terms of designing new architecture and

providing optimized solutions for existing ones. (S3, Glue, DMS, MWAA,

AMS, IAM).

▪ In-depth knowledge with respect to Snowflake and its architecture.

▪ Prefer prior Experience in BAU environment.

▪ Good knowledge on Airflow and MWAA.

▪ Hands-on experience in SQL/Python/Pyspark.

▪ Expertise in optimizing techniques in cloud environments.

▪ Should have the vision on data strategy and able to deliver the same.

▪ Should be able to lead the design and implementation of data management

processes, including data sourcing, integration, and transformation.

▪ Able to manage and lead a team of data professionals, providing guidance,

mentoring and foster a collaborative and innovative team culture focused on

continuous improvement.

▪ To evaluate and recommend data-related technologies, tools, and

platforms.

▪ Collaborate with IT teams to ensure seamless integration of data solutions.

▪ Should have experience in Implementing and enforcing data security

protocols and ensure compliance with relevant regulations.

Required Qualifications:

▪ At least 8+ years of Data Engineer Experience

▪ Bachelor qualification in a computer science or STEM (science, technology,

engineering, or mathematics) related field.

▪ At least 5+ years of recent hands-on professional experience (actively

coding) working as a Lead handling support & production issue.

▪ 2+ experience with large scale datasets, data lake and data warehouse

technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake

is highly preferred.

▪ At least 3+ years of experience in ETL (AWS Glue), Amazon S3, Amazon

RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step

Functions.

▪ Professional experience working in an agile, dynamic and customer-facing

environment is required.

▪ Understanding of distributed systems and cloud technologies (AWS) is

highly preferred.

▪ Understanding of data streaming and scalable data processing is preferred

to have.

▪ Strong knowledge in scripting languages like SQL ,Python, UNIX shell and

Spark is required.

▪ Understanding of RDBMS, Data ingestions, Data flows, Data Integrations

etc.

▪ Technical expertise with data models, data mining and segmentation

techniques.

▪ Experience with full SDLC lifecycle and Lean or Agile development

methodologies.

▪ Knowledge of CI/CD and GIT Deployments.

▪ Ability to work in team in diverse/ multiple stakeholder environment.

▪ Ability to communicate complex technology solutions to diverse teams

namely, technical, business and management teams

Soft Skills

▪ Ability to work in a collaborative environment and coach other team

members on coding practices, design principles, and implementation

patterns that lead to high quality maintainable solutions.

▪ Excellent communications and stake-holder management are required.

▪ Ability to handle senior leadership and report to them if required.

▪ Ability to work in a dynamic, agile environment within a geographically

distributed team.

▪ Ability to focus on promptly addressing customer needs.

▪ Ability to work within a diverse and inclusive team.

▪ Technically curious, self-motivated, versatile and solution-oriented

Infrastructure Management

• Manage and maintain complex cloud environments for AI workloads.
• Ensure secure, stable connectivity between internal systems and AI platforms.
• Perform ongoing system maintenance and monitoring to guarantee optimal AI model performance.
• Implement and maintain security protocols for AI data handling and model deployment.

Rapid Prototyping & Technical Validation

• Conduct technical due diligence for new AI technologies, frameworks, and vendor solutions.
• Build proof-of-concepts to validate AI model feasibility and performance.
• Perform stress-testing of AI vendor APIs, model endpoints, and third-party integrations.
• Document technical findings and provide recommendations for AI technology adoption.

Pipeline Development & AI Infrastructure

• Develop and maintain automated data pipelines for AI model training and inference.
• Write robust code to ensure reliable data movement from source systems to AI models.
• Implement MLOps practices for model deployment, monitoring, and maintenance.
• Build and maintain AI model serving infrastructure and API endpoints.

Must-Have Requirements

• Bachelor’s degree in Computer Science, Data Science, AI/Machine Learning, or related technical field.
• 3+ years of experience in AI/ML engineering or related technical roles.
• Strong programming skills in Python, with experience in AI/ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with cloud infrastructure management (AWS, Azure, or GCP).
• Knowledge of MLOps practices, model deployment, and monitoring.
• Experience with API development and integration for AI services.
• Understanding of data pipeline tools and ETL processes for AI applications.

Responsibilities

1. Perform duty to manage data centre (DC)operations, maintenance, troubleshooting, project rollout and facilities related matters.

2. Perform DC monitoring and maintenance on infrastructure systems, critical facilities and associated equipment.

3. Perform preventive and corrective support to scheduled or unscheduled maintenance on DC

infrastructure systems, critical facilities equipment and/or services.

4. Ensure all subcontractors deliver a quality and competent service and all contractual obligations are met. Supervise the vendors to all scheduled and adhoc activities related to DC facilities.

5. Perform DC and critical facilities work on environmental and management programs

6. Perform equipment functionality test and data analysis

7. Perform assets management duty, includingmaintaining of inventory, change and control programs and purchase of parts and supplies

8. Promptly respond and attend to incident and/or emergency situations

9. Provide standby support upon activation for shift duty stand-in and/or other coverage

10. Conduct routine, sanity check and ongoing assessment of DCC infrastructure systems and critical facilities operations

Requirements:

• Nitec / Higher Nitec / Diploma in Electrical/Mechanical/DC Infrastructure or relevant engineering discipline (Electrical, Mechanical or related fields)
• Additional certifications relevant to the industry is an added advantage
• 1 -2 years experience maintaining electrical, mechanical, fire protection system in facility management, particularly handling critical systems would be an added plus
• Strong problem-solving abilities, communication skills, and the ability to work independently and as part of a team
• Proficient in Computer skills eg. microsoft office, google emails, docs etc

Junior Data Scientist – Business Operations & Analytics

Summary

We are seeking a highly analytical and strategic Junior Data Scientist to drive data-led decision making across a large-scale customer and business operations environment. This role will focus on leveraging advanced analytics, reporting, and data modelling to uncover actionable insights, improve operational performance, and influence business strategy. The ideal candidate thrives in ambiguous environments, can independently manage complex cross-functional initiatives, and is passionate about transforming data into meaningful business outcomes.

Responsibilities

• Develop and execute data science and analytics strategies that support business objectives and operational excellence.
• Design, build, and maintain advanced analytical models, prototypes, and frameworks to identify trends, opportunities, and performance improvements.
• Extract, process, and analyze large, complex datasets using SQL, Python, R, and Big Data technologies.
• Create and maintain scalable dashboards, reporting systems, KPIs, and operational metrics to support business performance monitoring.
• Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders.
• Partner closely with cross-functional teams including Operations, Product, Engineering, and Business Leadership to solve complex business challenges.
• Drive data governance, reporting best practices, and continuous improvements in analytics methodologies.
• Mentor and support analysts and data professionals, fostering a culture of collaboration, innovation, and analytical excellence.
• Identify opportunities to automate reporting, streamline workflows, and improve operational efficiency through data-driven solutions.
• Present insights and strategic recommendations to senior leadership to influence decision-making and business direction.

Requirements

Essential

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative discipline.
• 2 - 3 years of experience in data analytics, data science, business intelligence, operations analytics, or a similar function.
• Advanced SQL skills, including the ability to build, optimize, and maintain complex queries against large datasets.
• Experience working with Big Data technologies and analytical tools such as Tableau, Hive, Presto, Python, and/or R.
• Strong understanding of operational metrics, KPIs, reporting frameworks, and performance measurement methodologies.
• Proven ability to perform exploratory analysis and derive actionable insights from complex datasets.
• Experience designing dashboards, reports, and visualizations that support business decision-making.
• Excellent communication and stakeholder management skills, with the ability to explain technical concepts to diverse audiences.
• Strong problem-solving mindset with the ability to work independently in fast-paced and ambiguous environments.

Preferred

• Experience supporting Customer Operations, Customer Support, Scaled Operations, Shared Services, or Business Operations functions.
• Experience working with large-scale datasets in high-growth technology, digital, e-commerce, or platform-based organizations.
• Knowledge of data pipeline architecture, ETL processes, and data warehousing concepts.
• Exposure to machine learning, predictive analytics, forecasting, or statistical modelling techniques.
• Demonstrated track record of driving measurable business impact through data-driven initiatives.
• Experience mentoring analysts or leading cross-functional analytics projects.

This is an initial 12-months contract role

Our client, one of Asia-Pacific’s leading organizations is looking for:

Data Scientist

Responsibilities:

• Work with product owners, engineering teams, and industry partners throughout the product development lifecycle from concept, design, prototyping, acceptance testing, data curation, delivery, operationalisation, industry proliferation, to product end-of-life
• Develop and deploy software components based on microservices-based architecture
• Participate in agile secure software development processes and best practices, documentation of user requirements and software codes during the software development lifecycle
• Propose, implement, and validate algorithms, ensuring functional and non-functional requirements

Requirements:

• Degree in Engineering, Computer Science, Mathematics, Statistics or equivalent with strong technical knowledge in AI
• Good understanding of the latest research and technologies in AI for production deployment
• Strong coding experience in programming languages such as Python and/or C++
• Experience working with libraries for data manipulation, visualization, machine learning, and reporting.
• Hands-on experience with one or more deep learning frameworks, e.g., TensorFlow, Torch
• Extensive experience with OpenAI and Claude code-based prompt engineering; Hands-on experience developing and deploying AI Agents, RAG and vector/graph databases.
• Strong understanding of 3D geometry, vector math, and coordinate systems
• Proficiency in relevant 3D modeling or CAD software (e.g., Blender, Rivet) and/or programming libraries (e.g., OpenGL, CGAL, Three.js)

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Interested applicants can also email CV at harry@nsearchglobal.com (for faster processing, please state the exact job / position title applied “Data Scientist”

Only shortlisted candidates will be notified.

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EA License Number: 10C3636
EA Personnel Name: Arora, Hardeep
EA Personnel Registration Number: R1111454

By submitting your resume and cover letter to apply for our job opening, you confirm that you have read the Data Protection Notice for Job Applicants (https://www.nsearchglobal.com/dp-notice/job-applicants) and you consent to the collection, use, and disclosure of your personal data for the purpose of verifying and evaluating your job application. Additionally, you have to notify and obtain consent from all individuals listed as your references to their data being collected and disclosed for the purposes related to your job application