Total 5,348 data entry clerk job vacancies

JOB DESCRIPTION

Build your career with Jabil! We challenge and empower you to make most of your talents, working with outstanding colleagues from diverse backgrounds who share your drive and passion to make Jabil grow!

JOB SUMMARY

A data scientist is a statistical analyst who have working experience in the field of data science. Work with other data scientists, ML Ops team, R&D team, Business users’ team etc. in collecting, analyzing, interpret data sets and build AI/ML models to drive optimization and improvement of product development. As part of the company's AI/ML team member, data scientist is required to provide help in developing custom data models and algorithms to apply to data sets. Data scientist must also coordinate with different functional teams to implement AI/ML and monitor outcomes.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Lead/work with team members to lead AI/ML cases with proper planning and execution to deliver the cases and drive the efficiency for the Manufacturing.

• Conducts data analysis, or Works with related team to design or build dashboards using generative AI tools

• Works with engineering and data science teams to support model training, fine tuning, and deployment workflows, ensuring that machine learning and generative AI systems are properly integrated, monitored, and optimized based on business requirements.

• Identifies and analyzes patterns with machine learning models or Generative AI models etc. during AI/ML model training, and utilize those for inferencing.

• Educates the organization both from IT and the business perspectives people on new approaches, such as Generative AI, machine learning, AI computer Vision etc.

JOB QUALIFICATIONS & KNOWLEDGE REQUIREMENTS

• Proficient in Python/R, Cloud techniques development experience is plus

• Strong statistics knowledge

• Familiar with regression models (i.e., xgboosting, lightGBM etc.), classification models (i.e., logistic regression, SVM, etc.), cluster models are preferred

• Familiar with Natural Language Processing (NLP) or Generative AI models

• Good data sensitivity skill set is plus

• Strong written and verbal communication skills and the ability to work effectively in teams and under pressure. Multi-lingual capability is a plus

• Highly motivated and creative, thinking “out of the box”

• Strong team mentality, interpersonal and communications skills

• Enthusiasm and ability to seek out and learn new technologies and algorithms outside of your immediate toolset/knowledge to solve business problems where required

EDUCATIONAL BACKGROUND & EXPERIENCE

• People who are taking his/her Bachelor or above degree in Computer Science, Machine Learning, Mathematics or Statistics

• 6 years or above experience of data mining/machine learning experience is preferred

• 3 years or above experience of Generative AI experience is preferred

• 1 years or above experience of AI computer vision experience is plus

We are seeking an experienced Senior Data Analyst to lead the build and operationalisation of a robust data management platform across the region. This is a hands-on role suited for someone passionate about designing scalable data infrastructure and delivering reliable, production-grade data pipelines.

Experience with Microsoft Fabric is advantageous, but not required—candidates with strong data engineering fundamentals and a willingness to learn new technologies are encouraged to apply.

Data Platform & Pipeline Engineering

• Design, build, and optimise end-to-end data pipelines to ingest, process, and transform data from diverse regional.
• Develop scalable and maintainable data ingestion frameworks and processing patterns
• Establish a robust, high-performing data architecture to support analytics and downstream use cases

Data Management, Quality & Governance

• Embed data quality checks, validation rules, and monitoring within data pipelines
• Implement and support data governance practices including data lineage, metadata management, and access control (e.g., via tools like Microsoft Purview)
• Define and enforce data ownership, stewardship, and governance standards across the region
• Ensure compliance with internal policies and regional data regulations
• Collaborate with global data teams to align on governance frameworks, KPIs, and best practices

• Develop and maintain curated data layers and semantic models to support reporting and analytics needs

• Partner with business stakeholders to translate requirements into scalable data models
• Ensure consistency and standardisation of KPIs and reporting outputs across the region
• Support migration or integration of existing reporting platforms where relevant

Requirements/skills

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
• Strong hands-on experience in building and managing data pipelines and data platforms
• Solid understanding of data modelling, data governance, and data quality best practices
• Exposure to cloud-based data platforms; familiarity with Microsoft Fabric or similar modern data platforms is a plus
• Proven ability to work in a fast-paced environment and adapt to new tools and technologies

EA License No. 01C4394

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services and such other purposes stated in our privacy policy. Our full privacy policy is available at https://www.persolsingapore.com/. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries.

Job Description:

We are seeking a talented and experienced Data Scientist to join our team. The ideal candidate will be passionate about utilizing data science methodologies to derive insights from digital device sensor data coming from clinical studies and contribute to the development and implementation of algorithms in this area. As a Data Scientist, you will work closely with customers to analyze data and build models and tools that enhance understanding of clinical outcomes and solve their business problems.

Responsibilities:

• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop and implement machine learning algorithms for processing and interpreting sensor data (e.g., accelerometers, heart rate monitors, etc.). Research and develop novel digital measures with clinical significance.
• Apply data preprocessing techniques to optimize large sets of sensor data processing and analysis, handling issues like noise, missing data, and time-series synchronization.
• Validate and interpret results to ensure accuracy, performance and scalability in real-time processing of sensor streams.
• Communicate findings and insights to stakeholders through clear and compelling visualizations, reports, and presentations.
• Work closely with cross-functional teams to develop data-driven solutions to address business needs.
• Stay up-to-date with the latest advancements in data science and clinical research to continuously improve methodologies and approaches.

Requirements:

• Ph.D. in Computer Science, Statistics, Mathematics, or related field.
• 3+ years of experience in data science, with a focus on sensor data analysis or digital health.
• Strong understanding of time-series analysis, signal processing, and feature extraction techniques.
• Proficiency in programming languages and libraries (e.g, Python/R, TensorFlow/Pytorch) for data analysis and machine learning.
• Hands-on experience with big data platforms and tools (e.g., Hadoop, Spark, cloud environments).
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills with the ability to work effectively in a team environment.

Preferred Qualifications:

• Hands-on experience with Large Language Models (LLMs) or Generative AI projects, such as prompt engineering, fine-tuning, or implementing Retrieval-Augmented Generation (RAG) pipelines
• Familiarity with cloud-based deployment platforms such as AWS, Azure or related and their data pipeline development.
• Experience working in the healthcare or pharmaceutical industry, particularly in clinical trials or digital health devices.
• Proven experience in taking algorithms from research to production, including considerations for scalability, performance, and ease of integration.
• Understanding of clinical trial workflows and regulatory requirements related to digital health.

Asia-Pacific data centre Organization , backed by strong institutional investors, with a growing portfolio of hyperscale and enterprise-grade data centres across key regional markets.

Overview

The Contract Manager will be responsible for the administration, compliance, and commercial governance of contracts across data centre projects. This role ensures contractual obligations are managed effectively, risks are mitigated, and commercial and legal interests are protected throughout the project lifecycle.

Responsibilities

Contract Administration & Compliance

• Manage and administer main contracts, consultant agreements, and key subcontracts

• Ensure compliance with contract terms, conditions, and timelines

• Track contractual deliverables, notices, and obligations across projects

• Maintain accurate and auditable contract documentation

Change, Claims & Variations

• Manage variations, change orders, claims, and extensions of time

• Assess entitlement, support negotiations, and coordinate with legal advisors where required

• Ensure timely submission and response to contractual notices

Commercial & Risk Management

• Identify, assess, and mitigate contractual and commercial risks

• Support cost control and commercial reporting from a contractual perspective

• Assist in dispute avoidance and resolution strategies

Governance & Best Practice

• Support the development and enforcement of contract management standards and processes

• Contribute to continuous improvement of contract templates and governance frameworks

Requirements

• 8 years of contract / commercial management experience

• Proven experience on data centre, mission-critical, industrial, or large-scale infrastructure projects

• Experience working with developers, operators, or main contractors preferred
  

How to Apply: Click Apply now — or send your resume directly to Talent@BuildBridgePartners.com

EA Name: BuildBridge Partners Pte Ltd

EA License No: 25C2918

EA Reg No: R1551092

Khoo Yan Jie

Your new company

Our client in public sector is looking for an experienced Data Science Manager to join their team.

Your new role

• Translate strategic direction into actionable ML/AI digital transformation plans, ensuring scalable architecture and responsible AI standards.
• Define and drive CIO Office outcomes and OKRs, aligning with HQ goals and executing long-term roadmaps.
• Identify inefficiencies, anticipate risks, and take decisive action to improve operations and seize opportunities.
• Build cross-functional partnerships and foster a culture of innovation, collaboration, and continuous improvement.
• Develop and manage high-performing teams through coaching, hiring, and creating an environment for sustained performance.

What you'll need to succeed

• Bachelor’s or Master’s degree in Computer Science, Statistics, AI, or related quantitative field.
• Deep expertise in satellite data, cloud infrastructure, and government security requirements.
• 10+ years of technical leadership experience in data analytics, database management, and software development.
• Knowledge of space systems such as mission control software, orbital analysis, and space weather tools (preferred).
• Excellent communication and strategic thinking skills, with the ability to translate complex concepts into actionable plans, plus program management experience.

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• Structured career growth and plenty of developmental opportunities
• Hybrid and stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology, contact Yuki Cheung or email yuki.cheung@hays.com.sg. Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse backgrounds to apply.

EA Reg Number: R22110258 | EA License Number: 07C3924 | Company Registration No: 200609504D

Here’s a shorter, more attention-grabbing version:

⸻

Job Overview

We are seeking an experienced Senior Data Engineer with strong expertise in enterprise Data Warehousing, Big Data platforms, Data Lake architectures, and modern cloud technologies. The ideal candidate will have hands-on experience designing and implementing large-scale ETL/ELT pipelines, data transformation frameworks, and analytics solutions within banking, financial services, or large enterprise environments.

The role requires deep technical knowledge of Apache Spark, PySpark, Hadoop ecosystems, Teradata, Cloud Data Platforms, and emerging Generative AI technologies for intelligent data processing and automation. The candidate should be capable of driving end-to-end data engineering initiatives, supporting business intelligence, analytics, regulatory reporting, and AI-enabled data solutions.

Key Responsibilities

• Design, develop, and optimize enterprise Data Warehouse and Data Lake solutions.
• Build scalable ETL/ELT pipelines using Python, Spark, and PySpark.
• Develop and maintain data ingestion, transformation, and analytical data processing frameworks.
• Implement data integration solutions across structured, semi-structured, and unstructured data sources.
• Manage large-scale data platforms using Hadoop, AWS S3, Azure Databricks, and Cloud Data Services.
• Develop data marts and business intelligence datasets for analytics and reporting.
• Implement metadata management, data lineage, and governance frameworks using tools such as Collibra and Enterprise Data Catalog.
• Design and optimize Spark SQL workloads for high-performance analytics.
• Build automated workflow orchestration solutions using Airflow, Control-M, or equivalent scheduling platforms.
• Integrate Generative AI capabilities into data engineering workflows for metadata tagging, data classification, anomaly detection, and intelligent reporting.
• Collaborate with business stakeholders, architects, data scientists, and analytics teams to deliver scalable data solutions.
• Ensure data quality, governance, security, and compliance requirements are met.
• Support production systems, troubleshoot performance issues, and maintain SLA compliance.

Required Skills

Data Engineering

• Apache Spark
• PySpark
• Spark SQL
• Python
• SQL / PL-SQL
• Hadoop HDFS
• Data Warehouse Design
• Data Lake Architecture
• ETL / ELT Development
• Dimensional Modeling
• Star Schema & Snowflake Schema

Cloud & Big Data

• AWS S3
• Azure Databricks
• GCP BigQuery
• Cloudera Data Platform
• Kafka
• Parquet
• Alluxio

Data Governance

• Collibra
• Enterprise Data Catalog (EDC)
• Metadata Management
• Data Lineage
• Data Quality Management

DevOps & Automation

• Airflow
• Control-M
• Jenkins
• GitLab
• Bitbucket
• CI/CD Pipelines

Generative AI

• OpenAI API
• Claude API
• LangChain
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Vector Databases (Pinecone, ChromaDB)

Preferred Experience

• 10+ years of Data Engineering experience.
• Banking, Financial Services, or Insurance domain experience.
• Experience working with Teradata Data Warehouses.
• Hands-on experience in Data Lake modernization initiatives.
• Experience delivering regulatory reporting and compliance data solutions.
• Exposure to AI-enabled data platforms and intelligent analytics solutions.
• Experience supporting enterprise-scale production environment

Here’s a shorter, more attention-grabbing version:

Responsibilities:

• Design and implement robust, scalable data pipelines and architectures to support data ingestion, processing, and storage. Including performance optimizations for data modeling and ingestion
• Develop and optimize complex SQL queries and stored procedures for data extraction, transformation, and analysis.
• Model data to meet different use casesng applications and automate data workflows.
• Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
• Lead the integration of data from various sources into data lakes and warehouses, ensuring data quality and consistency.
• Monitor and troubleshoot data pipelines and workflows to ensure optimal performance and reliability.
• Communicate with and support data users
• Document data processes, data models, and architectural designs to ensure knowledge sharing and compliance with best practices.

Prerequisites:

• Experience: Minimum 3 years in data engineering fields with system integration, and at least 1 year in system integration and implementation in cloud/web-based environments.
• Proven Solutions: Demonstrated experience in providing effective, working solutions and implementations, particularly in cloud-based environments.

Technical Skills:

• Solid understanding of ETL processes, data warehousing concepts, and data modeling best practices.
• Proficiency in Databricks, Azure Data lake, PowerBI, Tableau and related data processing and visualisation software.
• Familiarity with Windows, Linux, AWS and/or Azure platforms.
• Strong programming skills in languages such as Python and R is a must
• Proficiency in other programming languages such as Java, Scala and C# will be advantages
• Experience in data processing frameworks (e.g., Apache Spark, Apache Flink)

Preferred Exposure:

• Experience with large-data management system with visualisation tools.
• Experience with Data Integration and ETL Pipelines, Data Warehousing and BI reporting projects.
• Experience with Singapore Government Project will be advantages

Personal Attributes:

• Excellent problem-solving skills
• Ability to work independently
• Collaborative in a fast-paced environment

Why Join Us?
Be part of a forward-thinking team that is transforming government digital services. If you are passionate about technology and innovation, and thrive in a dynamic environment, we want to hear from you!

If you are passionate about building partnerships and driving growth, we would love to hear from you!

TOPPAN Ecquaria is an equal opportunity employer and values diversity within our company. We welcome all interested candidates to apply for this position, however, we regret to inform that only shortlisted candidates will be contacted by us for an interview.

Find us at www.topppanecquaria.com or www.linkedin.com/company/toppan-ecquaria

For more career opportunities, please visit our career site at:- https://toppanecquaria.com/careers/job-openings?utm_source=Jobstreet&utm_medium=Page&utm_campaign=2020 (Please copy & paste the above link onto your browser)

Job Summary

The successful candidate will be part of a small team responsible in managing the end-to-end billing and invoicing process for our operations. You will bridge the gap between logistics, sales and the finance department by auditing shipping logs, matching purchase orders, conducting pricing verification and generating accurate invoices for our clients and suppliers.

Key Responsibilities

Invoice Generation & Processing:

Prepare and issue accurate invoices, debit notes, and credit memos for goods manufactured and shipped, in a timely and accurate fashion, prompt filing of these as necessary.

Three-Way Matching:

Verify invoices against shipping logs, delivery orders, and original purchase orders (POs) to prevent billing anomalies and to ensure billing accuracy.

Cross-Departmental Coordination:

Collaborate with the sales, procurement, and warehouse teams to track shipments and resolve manufacturing-related or invoicing discrepancies, including but not restricted to e.g. goods return.

Vendor & Client Support:

Address billing inquiries, handle incoming phone calls from new and existing clients, routing calls and enquiries to appropriate personnel, route invoices for management approval, and follow up on outstanding accounts receivable.

Data Entry & Record Keeping:

Update master customer/vendor files and log all financial transactions into company ERP or accounting systems.

Some ad-hoc duties related to sales-support such as to assist in preparation of product samples for clients, to complement sales team to furnish price quotation, contacting clients and warehouse on matters related to product delivery.

Good-to-have + Must-haves:

• Experience in related industry
• People skills, team player
• Willingness to learn and good working attitude
• Export documentation knowledge

Note:

This is a fully on-site role.

We provide 13th month annual wage supplement, dental allowances, year-end and performance bonus for the right candidate upon confirmation. Send us your CV today.

We are looking for a motivated personnel to join our team! If you are someone who enjoys working in a dynamic, team-oriented environment, this could be the perfect opportunity for you!

Responsibilities:

• Identify and engage with potential clients
• Promote products/services through various marketing strategies
• Maintain strong relationships with existing clients
• Lead a team executing marketing campaigns

Requirements:

• Excellent communication skills
• Proactive attitude with a desire to learn and grow in the field
• Ability to work both independently and as part of a team
• Willing to learn and a result-driven mindset

Benefits:

• Opportunities for career growth and advancement
• Ongoing training and professional development
• Travel opportunities
• Supportive team environment

Company: Royal Organization

About the Role:

Still figuring things out after graduation or ORD? Not keen on a traditional desk job?

We help brands grow through face-to-face marketing. More importantly, we help people grow.

What You'll Do:

· Represent brands through in-person campaigns

· Build communication & confidence skills

· Learn sales, leadership & team coordination

· Progress toward leading your own team (performance-based)

What We're Looking For:

· Willing to learn (no experience needed)

· Comfortable engaging with people daily

· Motivated by personal growth

· Enjoys a collaborative team environment

What You'll Get:

· 1-to-1 mentorship & structured training

· Fast progression based on merit, not seniority

· Supportive, energetic team culture

· Overseas exposure opportunities (performance-based)

No prior experience required. Fresh graduates and individuals from all backgrounds welcome.

Apply now and let's grow together

We are looking for a motivated personnel to join our team! If you are someone who enjoys working in a dynamic, team-oriented environment, this could be the perfect opportunity for you!

Responsibilities:

• Identify and engage with potential clients
• Promote products/services through various marketing strategies
• Maintain strong relationships with existing clients
• Lead a team executing marketing campaigns

Requirements:

• Excellent communication skills
• Proactive attitude with a desire to learn and grow in the field
• Ability to work both independently and as part of a team
• Willing to learn and a result-driven mindset

Benefits:

• Opportunities for career growth and advancement
• Ongoing training and professional development
• Travel opportunities
• Supportive team environment