Company: Royal Organization

About the Role:

Still figuring things out?

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

Job Description:

Combine AI/ML and Technology knowledge to implement highly scalable solutions to solve real-world problems in areas such as Generative AI, Personalization, Image Recognition, Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions

• Build solutions from identifying business problems, to collecting training dataset, to analyzing data, to modeling, to validating and to delivering production grade solutions at scale.
• Research latest related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions.
• Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale
• Drive both high-level and detailed technical designs and conduct design reviews as needed
• Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration
• Provide technical mentorship to team members at junior levels
• Actively participate in business and technical discussions and forums

We are a growing sales and marketing company dedicated to delivering effective solutions and exceptional service to our clients. Our team values professionalism, integrity, and a strong commitment to continuous improvement. As we expand, we are looking for motivated individuals to join our dynamic workforce.

Position Summary

We are seeking enthusiastic and driven candidates to support our sales and marketing operations. The selected candidate will work closely with our team to execute marketing strategies, engage with clients, and contribute to the company’s overall growth.

Key Responsibilities

• Assist in developing and implementing sales and marketing strategies

• Engage with clients and provide accurate product or service information

• Support daily operations, including promotional activities and customer outreach

• Participate in team meetings, training sessions, and performance reviews

• Maintain a professional image and uphold company values at all times

Candidate Requirements

• Willingness to learn and adapt in a fast-paced environment

• Strong communication and interpersonal skills

• Positive attitude and a proactive mindset

• No specific educational background required — all levels are welcome

• Ability to work independently and as part of a team

What We Offer

• Comprehensive training and continuous skill development

• Opportunities for career growth and advancement

• Supportive and professional working environment

• Competitive remuneration package

If you are eager to grow, motivated to succeed, and ready to take on new challenges, we encourage you to apply.

• Salary: $3000 - $4000 + VB

• Working location: Central

• Working hours: Normal Working Hours (Mon – Fri)

• Training Provided

Job Responsibilities:

Primary: Maintenance & Service

• Perform maintenance and servicing of automation systems (AMR, AGV, ACR, 4-Way Shuttle, ASRS).
• Troubleshoot and resolve system issues to minimize downtime.
• Carry out routine inspections and preventive maintenance.
• Monitor system performance and maintain service records.
• Manage spare parts (stock, tracking, and replenishment).
• Prepare basic reports on downtime and maintenance activities.
• Support and troubleshoot PLC, sensors, conveyors, and related systems.
• Work closely with operations team to ensure smooth system performance.
• Identify and carry out minor system improvements.

Secondary: Projects & Support (When Required)

• Support installation and commissioning of automation systems.
• Assist in warehouse automation projects and upgrades.
• Help with basic layout and workflow planning.
• Prepare and update project documentation.
• Track project timelines and costs.
• Coordinate with contractors, vendors, and stakeholders.
• Perform other duties assigned by supervisor.

Requirements:

• Diploma in Related Field (Mechanical, Electrical, Mechatronics, or related).
• Experience in equipment servicing or automation systems preferred.
• Proficient in Excel, PowerPoint, and AutoCAD.

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

Barry Ang Ze Xin (Reg No : R26159529)

EA Recruitment Pte Ltd

EA License No: 21C0492

Job Description & Requirements

Sales and Marketing (Beginner)

Kickstart your marketing career with hands-on experience and guided training!

We are looking for motivated individuals to join our team in Singapore. No experience is required as training and mentorship will be provided.

Responsibilities

• Assist in marketing campaigns and events
• Engage with customers to promote brand awareness
• Work closely with the team to support campaign activities
• Contribute ideas during campaign discussions

Requirements

• Good communication and interpersonal skills
• Positive attitude and willingness to learn
• Able to work independently and in a team

What We Offer

• Structured training provided
• Career development opportunities
• Supportive team environment

Additional Information

• Full-Time Position
• Singapore-based role with on-site activities
• Only shortlisted candidates will be notified

Looking for a fun and vibrant environment that supports growth? We welcome you!

Responsibilities:

• Face to face interactions with customer
• Assist in coaching for newer trainees
• Developing yourself through workshops provided here

✈️Opportunities:

• Frequent overseas trips (Getaway almost everyone!)

• Leadership roles

• Personal development workshops by performing individuals

Requirements:

• Team player

• Good learning attitude

• Hungry for growth

If you are keen to find out more, kindly click apply! We regret that only suitable candidates will be notified!

COMPANY DESCRIPTION

About NTUC Health Co-operative Limited

NTUC Health Co-operative Limited (NTUC Health) is an NTUC enterprise that provides a comprehensive and integrated suite of quality and accessible health and eldercare services to meet the growing needs of families and their dependents. Building on close to three decades of experience and expertise, NTUC Health is among the largest providers of active ageing, senior day care, nursing home, and home personal care services in Singapore. We also serve vulnerable seniors in selected areas in Singapore through Community Case Management Services (CCMS), CREST mental health support, and a sheltered senior group home. In addition, we run a family medicine clinic.

Our purpose is to achieve ‘health for life'; enabling healthy and fulfilling years by being a trusted partner of seniors and their families in our community.

For more information, please visit ntuchealth.sg or follow us on Facebook, Instagram, and LinkedIn.

Services: Senior Day Care | Home Care | Nursing Home | Active Ageing and Senior Fitness | Rehabilitation and Physiotherapy | Family Medicine

Community Support: CCMS (Community Case Management Services) | CREST (Community Resource, Engagement and Support Team) | Henderson Home

RESPONSIBILITIES

Job Role Summary:

As a Talent Attraction Intern, you will play a key role in supporting the recruitment and onboarding processes at NTUC Health. This internship offers the opportunity to contribute to data-driven HR initiatives.

Key Responsibilities:

• Clean, organize, and analyse recruitment and attrition data using SQL and Google Apps Script.
• Maintain and update HR records, databases, and applicant tracking systems (ATS).
• Develop and maintain a consolidated dashboard to track key talent metrics.
• Collaborate with various HR teams on cross-functional projects.
• Perform other related tasks as assigned by the supervisor.

You are:

• Currently pursuing an undergraduate degree or diploma in Human Resources, Business Analytics, Information Systems, or a related field.
• Proficient in SQL and Google Apps Script, with the ability to clean datasets and build dashboards.
• Comfortable working with Google Suite applications (e.g., Sheets, Docs, Slides).
• A team player with strong communication and stakeholder management skills.
• Detail-oriented, analytical, proactive, and eager to learn.

Job Description

Integrated Business Planning (IBP) brings together forecasting and supply planning across marketing, sales, finance, procurement, manufacturing, and customer service into a unified process. This integration ensures alignment across the enterprise, leading to superior customer outcomes.

Agilent is building our enterprise planning capabilities to drive IBP across the business by establishing a centralized Planning Excellence Team (PET). This team will continue our Ignite IBP transformation journey which will strengthen our competitive advantage by enabling faster, more reliable planning. The

IBP Data Scientist role will bring key data scientist capabilities to the PET team. As the IBP Data Scientist, you will be responsible for supporting the fast-paced development and continued maintenance of demand, inventory, and supply planning models, refreshing targets, and monitoring key planning parameters to ensure the business is positioned to meet demand reliably and efficiently.

Principle Duties/Responsibilities:

• Provide data-driven insights, dashboards, and scenario modeling to support demand and supply planners, S&OE/S&OP processes, and enterprise decision-making
• Drive continuous improvement in analytics, data quality, and model reliability
• Drive automation and advanced analytics, leveraging Python, SQL, and BI tools to scale insights
• Partner with more senior team members to align analytics with standards, governance, and process maturity efforts
• Generate dashboards and KPIs that to support IBP governance and forum discussions
• Enable S&OE/S&OP with near-term supply-demand coverage analytics, including early warning indicators
  

Qualifications

• Bachelor's or Master's Degree or equivalent in data science, statistics, computer science, or related field.
• Post-graduate, certification, and/or license are a plus.
• Ability to work independently and as part of a team in a fast-paced environment.
  

Preferred skills include:

• Knowledge in predictive modeling, machine learning, and statistical analysis preferred.
• Programming languages such as Python, R, or SQL.
• Data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar.
• Strong analytical and problem-solving skills with the ability to interpret complex data.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of advanced machine learning techniques and frameworks.

Successful candidates need to be comfortable with working on weekends, and rotation shifts as and when required.

Key Responsibilities:

• Design and implement advanced data science solutions across banking domains, with a focus on automation and integration with enterprise database platforms.
• Lead the automation of end-to-end data science workflows, including data extraction, transformation, modelling, and deployment.
• Work closely with database engineering teams to ensure seamless integration between models and large-scale relational and non-relational databases.
• Champion the development of reusable, scalable ML pipelines for model training, evaluation, monitoring, and retraining.
• Drive AI/ML adoption for use cases like fraud detection, risk scoring, operational efficiency, customer analytics, and more.
• Contribute to data governance and model risk management processes in line with regulatory standards.
• Mentor junior data scientists and contribute to building best practices and a strong data culture.
• Any other ad-hoc duties as assigned by supervisors

Requirements:

• Bachelor’s degree in Engineering / Computer Science / Information Technology or related field.
• Around 9 - 12 years of experience and above
• Experience with PL/SQL, Python, Shell Scripting and cloud-based environment.

Interested applicants, please email your resume to Douglas Tan Yu Feng

Email: douglastan@recruitexpress.com.sg

CEI Reg No: R26160004

EA Licence No: 99C4599

Recruit Express Pte Ltd

We are seeking an experienced Senior Project Manager to lead complex, regional data analytics projects within a banking environment. You will oversee initiatives spanning data warehousing, business intelligence, reporting automation, advanced analytics, and regulatory data solutions. You will manage cross-border programs, engage with steering committees, control budgets, drive quality assurance, and navigate diverse stakeholder landscapes across the Asia Pacific region.

Key Responsibilities

Project Lifecycle Management

• Own end-to-end project delivery for data analytics initiatives, from business case development and requirements gathering to implementation, go-live, and post-implementation review.

• Define project scope, objectives, deliverables, and success metrics aligned with regional data strategy and business outcomes.

• Develop and maintain detailed project plans, timelines, milestones, data migration schedules, and risk registers.

Regional Data Analytics Delivery

• Lead regional data analytics projects spanning multiple countries, ensuring consistency in data governance, reporting standards, and compliance across locations.

• Coordinate with in-country data teams, business intelligence units, and local technology leads to align regional data frameworks with local regulatory and operational requirements.

• Manage dependencies across data ingestion, transformation, storage, visualization, and consumption workstreams.

Steering Committee & Governance

• Prepare and present regular steering committee updates, including project status, budget utilization, risk assessments, data quality metrics, and issue escalation.

• Facilitate steering committee meetings, secure key decisions, and drive alignment among senior executives, data officers, and business sponsors

Budget & Financial Management

• Own project budgets, including forecasting, tracking, variance analysis, and cost control for data infrastructure, software licensing, cloud resources, and consulting services.

• Manage CAPEX and OPEX allocations, ensuring data analytics projects are delivered within approved financial parameters.

• Provide regular budget reports to steering committees and finance partners.

Stakeholder Management

• Engage and influence senior stakeholders across business intelligence, data governance, technology, risk, compliance, and business units (e.g., finance, risk, marketing, treasury).

• Act as the primary point of contact for regional data project sponsors, business leads, data vendors, and analytics partners.

• Navigate complex organizational structures to secure buy-in, resolve conflicts, and maintain project momentum.

Requirements

• Bachelor's degree in Computer Science, Data Analytics, Information Systems, Finance, or a related field. MBA or PMP certification is highly preferred.

• 10+ years of project management experience in banking or financial services, with at least 5 years managing regional data analytics or business intelligence projects.

• Proven experience leading steering committee meetings and presenting to C-suite, Chief Data Officers, and senior executives.

• Strong track record of managing project budgets (both CAPEX and OPEX)

• Deep understanding of the full project lifecycle for data analytics projects, including data sourcing, ETL/ELT, data modeling, reporting, and visualization.

• Hands-on experience with QA processes for data projects, including data validation, ETL testing, UAT coordination, and defect management.

• Familiarity with data analytics technologies such as SQL, Python, Tableau, Power BI, Snowflake, Databricks, or similar platforms.

• Exceptional stakeholder management skills, with the ability to influence across business, technology, data governance, and risk functions.

• Proficiency in project management tools (JIRA, MS Project, Confluence, or similar).

• Excellent communication, negotiation, and problem-solving skills.

• Ability to travel regionally as required.
  

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

Overview

Global project and development organisation delivering complex, mission-critical facilities across the data centre sector. Acting on behalf of owners and end-users, the team is deeply involved from early design through construction, commissioning, and handover, ensuring performance, reliability, and long-term operational success.

They are seeking a Mechanical Engineering Lead to take ownership of mechanical systems delivery for data centre new build and infrastructure fit-out projects.

The Role

As the Mechanical Engineering Lead, you will provide technical leadership across design, construction, and commissioning. You will advise on engineering design decisions, constructability, risk, and performance, ensuring mechanical systems are delivered to the highest technical and operational standards.

This is a senior, hands-on role suited to a self-starter who is comfortable working across multidisciplinary teams and engaging directly with consultants, contractors, and stakeholders.

Responsibilities

Mechanical Design & Engineering Leadership

• Lead the design, development, and implementation of mechanical systems for data centre new build and infrastructure fit-out projects

• Prepare and review mechanical specifications, technical drawings, and construction documentation, including HVAC, piping, and equipment layouts

• Evaluate and select mechanical equipment and systems to ensure performance, redundancy, and constructability

• Perform and review HVAC load calculations, airflow analysis, and energy modelling to optimise system efficiency and resilience

• Assess design options and conduct feasibility studies and cost analyses, proposing value-driven improvements where appropriate

Construction & Commissioning Support

• Provide technical leadership during construction, including review of contractor submittals, RFIs, and design clarifications

• Conduct site inspections to ensure works comply with design intent, specifications, and applicable codes

• Support and participate in commissioning, testing, and integrated systems validation

• Troubleshoot mechanical and HVAC system issues to ensure readiness for operations and handover

Stakeholder & Project Collaboration

• Collaborate closely with architects, engineers, project managers, and client stakeholders to integrate mechanical systems seamlessly into the overall project

• Act as a key technical interface between the client, consultants, and contractors

• Ensure mechanical systems align with operational, maintenance, and lifecycle requirements

Continuous Improvement

• Stay current with industry trends, regulations, and emerging technologies in data centre mechanical and HVAC systems

• Apply best practices in energy efficiency, sustainability, and system resilience to improve design and delivery outcomes

Requirements

• Bachelor’s degree in Mechanical Engineering or related discipline

• 10+ years of experience designing and managing mechanical systems for data centre new build and infrastructure fit-out projects

• Strong experience in HVAC systems, including chillers, cooling towers, AHUs, control systems, and redundancy strategies

• Experience with plumbing, piping, and fire protection systems

• Professional Engineer (PE) licence is preferred

• Proficient in tools such as AutoCAD, Revit, Autodesk Construction Cloud, Procore, or similar platforms

• Strong understanding of codes, standards, and best practices for mission-critical mechanical systems

• Experience with energy-efficient and sustainable mechanical design
  

  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
  Consultant: Khoo Yan Jie

Join our collaborative environment, where you'll contribute to our strategy and make an impact on product success. As a Product Associate in the Market Data Services team, you will act as a primary point of contact for stock exchanges and other third-party market data vendors, supporting market data licensing for JPMorganChase proprietary applications, ensuring compliant use of licensed data, and supporting third-party vendor audits. You will collaborate with internal technology teams to understand data usage and partner with Global Sourcing and Legal to review and implement new and updated licensing. As a valued member of the team, you will have the opportunity to learn and grow in a dynamic and fast-paced environment, making a tangible impact on our products and customer experiences.

Job responsibilities

• Serves as a primary contact for exchange and third-party market data vendor relationships, supporting day-to-day queries, renewals/updates, and ongoing engagement

• Supports the implementation and maintenance of market data licensing for proprietary applications by partnering with application and technology teams to understand how data is accessed, used, and distributed

• Helps ensure compliant usage of third-party market data by translating licensing terms into practical requirements and supporting tracking/attestations where applicable

• Coordinates and supports third-party vendor/exchange audits (evidence collection, stakeholder coordination, issue tracking, and remediation follow-through to closure)

• Partners with Global Sourcing and Legal to support review and implementation of new and updated licensing terms, including assisting with contract interpretation and operationalization

• Builds strong relationships with vendors/exchanges and internal stakeholders to maintain appropriate licensing coverage in a continually evolving market data landscape

• Communicates clearly across business, technology, legal, sourcing, and vendor stakeholders; escalates risks/issues with appropriate context and recommended actions

Required qualifications, capabilities, and skills

• Bachelor's degree in Business Administration, Accountancy, Economics or equivalent

• Formal training or 2+ years applied experience in project management, compliance, audit, vendor management or operations

• Strong communication skills and stakeholder management across internal teams and external vendors

• Basic understanding of market data concepts and common vendor offerings (e.g., difference between data feeds and terminals; how market data is used within financial institutions)

• Strong organizational and prioritization skills with attention to detail; ability to manage multiple workstreams and deadlines

• Proficiency with Microsoft Office (Excel, PowerPoint, Outlook)

Preferred qualifications, capabilities, and skills

• Experience reading and understanding contracts/terms (e.g., licensing terms, usage restrictions, audit clauses) and applying them in day-to-day execution

• Audit experience (e.g., supporting or running audits, working with business stakeholders, gathering evidence, managing actions to closure)

• Foundational technical knowledge, including conceptual understanding of application development and core infrastructure components (e.g., networks, servers), sufficient to partner effectively with technology teams

• Understanding of AI tools or automation to enhance workflows and improve efficiency

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=f4a8646490a976eece75e5d7ca5d8ad8

Data Analytics

• Spearhead the design and execution of end-to-end data analytics strategies.
• Develop and manage automated data pipelines and ETL workflows.
• Perform data cleaning, preprocessing, and validation to maintain high data accuracy and integrity.
• Utilize advanced statistical and data mining techniques to analyze extensive healthcare datasets.
• Build and maintain interactive dashboards with user-friendly visualizations tailored for non-technical stakeholders.
• Deliver in-depth analytics to support clinical research and quality improvement projects, especially in areas like chronic disease management (e.g., diabetes, kidney disease, asthma).
• Create predictive models and deploy machine learning solutions, including large language models (LLMs).
• Collaborate with clinical teams to integrate Patient-Reported Outcome Measures (PROMs) into existing care processes.
• Work closely with GTO and AIO teams to improve data visibility and accessibility.
• Design and apply LLM-based solutions to streamline and optimize patient care pathways.

Data Quality & Monitoring

• Conduct regular validation to ensure the integrity and consistency of datasets.
• Detect and interpret key trends, patterns, and insights from healthcare data.
• Establish and maintain robust data quality assurance and validation protocols.
• Generate and present clear, data-driven reports and visualizations to stakeholders.
• Ensure all data visualizations are user-centric and accessible to non-technical users.
• Liaise with cross-functional teams to gather and address their specific data requirements.

Data Governance & Protection

• Implement stringent data security policies and access controls.
• Supervise data standardization and quality management initiatives.
• Ensure adherence to data privacy laws such as PDPA and HBRA.
• Develop secure protocols for safe data exchange and collaborative access.
• Promote ethical AI usage and ensure responsible deployment of LLM technologies.

Key Requirements

• Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Analytics, Statistics)
• Minimum of 2 years’ experience in healthcare analytics or a similar field.
• Strong programming skills in Python, R, and SQL.
• Hands-on experience with data visualization platforms such as Tableau, Power BI, or TIBCO Spotfire.
• Proficiency with cloud analytics environments, especially Databricks.
• Solid foundation in statistical methods, including predictive modeling, A/B testing, and time-series analysis.
• Skilled in deploying and fine-tuning AI/ML models, including LLMs, within healthcare contexts.
• Experience working with cloud providers, particularly AWS.
• Familiarity with container technologies like Docker and Kubernetes.
• Experience using modern web frameworks such as Streamlit, NextJS, and TypeScript.
• Proficient in REST API development using frameworks like FastAPI.
• Understanding of database design, with hands-on experience using tools like SQLAlchemy.
• Capable of working with large and complex datasets.
• Proficient in using Git for version control and collaborative coding.
• Strong grasp of CI/CD pipelines and DevSecOps best practices.
• Knowledge of medical terminology and healthcare IT systems.
• Demonstrated ability to manage stakeholders and drive successful project outcomes.
• Excellent analytical thinking and problem-solving capabilities.
• Effective communicator with strong presentation, writing, and interpersonal skills.
• Highly detail-oriented, with a commitment to accurate data handling and analysis.
• Able to convert business challenges into technical data solutions.
• Team-oriented, proactive, and capable of thriving under time constraints.
• Comfortable working both independently and collaboratively in dynamic environments.

To apply, please visit www.gmprecruit.com

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

• Possess a degree in Computer Science/Information Technology or related fields.
• Min 8 years of relevant working experience in software or data engineering with proficiency in Python.
• Strong experience in unit and integration testing.
• Familiarity with DevOps practices and Agile methodologies.
• Strong software engineering, analytical and problem-solving skills.
• Good team player and communication skill.
• CAT-1 cleared/eligible candidate is required for this role.
• Experience in AWS and Kubernetes (K8s)
• Familiarity with data platforms such as Snowflake, Apache Spark, or Apache Hive, as well as orchestration tools like Apache Airflow, Dagster, or Prefect.
• Familiarity with GitHub workflows and Datadog.
• Develop and maintain data pipelines and ETL/ELT processes, and ensuring maintainability through unit and integration testing.
• Collaborate with data teams to understand requirements and automate deployment and monitoring.
• Optimize data storage and troubleshoot issues to enhance performance.

Roles & Responsibilities

• Explore both qualitative and quantitative data sets, perform in-depth analysis to derive actionable insights, identify problems, and propose data-driven solutions for the WeChat ecosystem
• Collect large sets of structured and unstructured data from independent sources; clean, validate, and transform data to ensure accuracy, completeness, and uniformity
• Design and maintain dashboards, reports, and automated data pipelines to support ongoing business monitoring and decision-making
• Analyze data to identify patterns, trends, and anomalies, uncovering potential opportunities and/or threats to the WeChat ecosystem
• Interpret findings to discover solutions or opportunities and build story-boards to communicate insights to the business for action
• Own and evolve the computer vision infrastructure, including building, optimizing, and maintaining CV model training/serving pipelines, evaluation frameworks, and related toolchains
• Develop and deploy computer vision solutions (e.g., image/video understanding, OCR, content moderation, multimodal analysis) to address business needs across the WeChat ecosystem
• Leverage LLM-based approaches and other machine learning / deep learning techniques where appropriate to enhance analytical capabilities and support intelligent product features

Knowledge & Competencies:

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Mathematics, Statistics, Data Science, or a similar quantitative field
• Hands-on experience with LLM application development (e.g., fine-tuning, RAG, Agent frameworks such as LangChain/LlamaIndex/AutoGen) is strongly preferred
• Experience with computer vision models (e.g., object detection, image classification, multimodal models) is a plus
• Good knowledge of Python; familiarity with C/C++ is a plus
• Familiarity with mainstream deep learning frameworks (PyTorch, TensorFlow) and model deployment tools (e.g., Docker, FastAPI, TensorRT) is preferred
• Experience with vector databases (e.g., Milvus, FAISS, Pinecone) or data pipeline tools is a plus
• Ability to communicate complex technical ideas to non-technical stakeholders in a clear and accessible manner
• Self-driven, innovative, and collaborative, with strong communication and presentation skills; able to bridge business and technical audiences
• Fluency in both English and Mandarin to collaborate with international stakeholders and headquarters-based teams
• A passion for exploring new technologies and a proactive approach to solving complex engineering challenges.

Job Duties & Responsibilities:

1. Work with large and complex financial datasets to develop end-to-end data science solutions for pricing various financial products, dynamic campaign optimization, and customer personalization.
2. Conduct research and literature review to assess and evaluate trade-offs between different quantitative algorithms and models.
3. Implement and train AI/ML models and optimize algorithm efficiency (GPU distributed computing, concurrent programming)
4. Refactor and document code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems, and perform sub-system integration as required.
5. Integrate solutions into enterprise MLOps ecosystem and automate CI/CD pipelines for model lifecycle maintenance and monitoring.

Requirements:

1. Good understanding of the data science production life cycle with demonstrable experience working with structured, semi-structured and unstructured data.
2. Excellent software skills (Python, SQL variants) and knowledge in design patterns, code optimization, object-oriented programming.
3. Experience applying quantitative and machine learning algorithms for pricing and marketing.
4. Demonstrable expertise in some of the following domains - econometrics, statistical modelling, time-series analysis, signal processing, reinforcement learning, estimating causal relationships/ counterfactual effects, dynamic pricing.
5. Solid understanding of foreign exchange markets, including knowledge of currency pairs, market dynamics, and key drivers.
6. Hands-on experience in designing and executing digital campaigns and experimentation (A/B, Multivariate, Bandits, Sequential, quasi-experiments), evaluation methodologies (DiD variants), and conducting experiments to optimize campaign performance.

Job Title: Data BAU Lead

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 MSSQL 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

▪ 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

If you are keen to explore the above role, please send across your updated resume to Mani.Sathis@helius-tech.com and we can discuss to proceed further.

EA Personnel Registration Number: R1112410

Singapore Employment Agency Licence No: 11C3373

Role: Data Engineer - Databricks & Python

Relevant Experience Required: 4 Years 

Job Description: 

Data Transformation

• Query, clean, and transform datasets using SQL and Python on the Databricks platform.
• Ensure data quality and consistency across systems in accordance with government Instruction Manual (IM8) standards.

Analytics & Dashboard Development

• Build, enhance, and maintain dashboards for data monitoring, performance reporting, and user behaviour analytics.
• Partner with business stakeholders to understand data requirements and translate them into impactful visual insights.

Documentation & Knowledge Management

• Develop clear and comprehensive user guides for dashboards, charts, and data workflows in Databricks
• Maintain technical documentation (e.g., on Confluence) for analytics processes, standards, and best practices.

Additional Opportunities

• Explore and prototype automation solutions to streamline repetitive or manual workflows.
• Develop project management competencies, including:
• Creating user stories and acceptance criteria
• Managing JIRA tickets and sprint tasks
• Writing and executing QA test cases

Competencies & Requirements

Required Skills

• Proficiency in SQL and Python for data processing and automation.
• Hands-on experience in dashboard tools such as Tableau, Power BI, or equivalent visualisation tools.
• Familiarity with Databricks or similar big data/analytics platforms.
• Ability to produce high-quality technical documentation.

Additional Skills Preferred

• Experience in system testing, SIT/UAT, or quality assurance processes.
• Knowledge of Spark for distributed data processing.
• Understanding of Git or other version control systems.

Soft Skills

• Strong analytical mindset and problem-solving abilities.
• Good communication skills, especially in explaining technical concepts to non-technical users.
• Ability to work independently as well as collaboratively in cross-functional teams.
• Attention to detail and commitment to delivering high-quality work.

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.

Shenton Way

8.30amto 5.30pm (Mondays to Fridays) / 9.00am to 6.00pm (Mondays to Fridays)

Responsibilities

• Understand the structure of each deal & items stating in the checklist prior preparing the reconciliation template
• Close follow-up with Line Manager to ensure checklist is drawn up for each agreement prior the deal commences, making sure the checklist is updated whenever there’s changes to the deal
• Setup contract details in system together with billing instructions to facilitate correct invoicing to customers
• Update customers on the monthly slot charges with bunker update & ensure correct fixed slot invoices issued promptly to customers
• Extract customers’ loading information – to scrutinize the report & probe agents for clarification on any data discrepancies, also follow up to ensure system gets updated with correct records
• Submit reconciliation statement to customers on their slot usage against their slot commitment, it has to be drawn up accurately & submit within stipulated timeframe
• Follow up with customer for the statement confirmation & ensure accurate & timely issuance of invoices
• Handle queries raised by customers & resolve the disputes independently
• Any other adhoc duties as assigned.

Requirements

• Minimum Diploma in Shipping/ Logistics/ Maritime studies or similar specialization.
• Preferably 2 to 3 years’ working experience in shipping industry. Entry level candidates are welcomed to apply.
• Strong working knowledge of MS Office in particular MS Excel

Jessica Nguyen Huynh Thanh Truc

CEI Reg. No. R23113787

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

Job Responsibilities

• Guide customers through available loan products and explain financial solutions clearly

• Assist customers with the full application process, including form completion and document verification

• Handle product enquiries and provide accurate information on requirements, eligibility, and processing timelines

• Maintain high standards of customer experience, ensuring every interaction is professional and service-oriented

• Build rapport with customers and support them in making well-informed decisions

• Ensure compliance with company procedures and industry guidelines

• Manage daily branch duties such as queue flow, basic administrative tasks, and service reporting

• Work closely with teammates to maintain smooth branch operations across both locations

• Rotate between Bugis and Hougang branches on a scheduled basis

Requirements

• Strong communication skills and a customer-centric mindset

• Providing a Great, reliable, and professional attitude when dealing with walk-in customers

• Applicants must be able to work in Hougang (Near MRT)

• Able to work a shift schedule, including at least one weekend day each week

• Able to follow structured processes and handle documentation accurately

• Responsible, and able to work both independently and as part of a team

• Prior experience in loan advisory, financial services, or customer service is an advantage — but not mandatory (training provided)

Benefits

• Stable monthly salary with increment upon confirmation

• 5-day work week with one guaranteed weekend off

• Comprehensive on-the-job training

Interested candidate, kindly click on APPLY NOW

We regret that only short-listed candidates will be contacted shortly.

EA License No. | 12C6253

EA Registration No. | R1105417

EA Personnel | Chia Meng Yong ( Kenny )

Location: Kallang

Working Day: 5 Days (Mon-Fri)

Working Hour: 9 am - 6.15 pm

Salary : Basic up to $3000 (Depending on educational qualification and relevant experience) Incentives: up to $800 per month. Additional half-yearly bonus based on performance is provided.)

Job Scope

• The Inside Sales Rep will assist to generate new leads for the sales team by calling manufacturing contacts to introduce products and services of the company. 

• No product selling or closing is required.

Requirements

• Minimum GCE “O” Level  
• Training provided

Benefits:

• Attractive monthly incentive based on performance is provided (Up to $800 monthly).
• Additional half-yearly bonus based on performance is provided.
• Training will be provided.
• Long-term renewable contract with yearly increment.
• Entitled to transport, medical, dental allowance, and AWS.
• Possibility of conversion to perm staff depending on their performance.

Kelly Chong Reg No:R26161160

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Role Description

The Customer Service Executive will be responsible for promotingcord blood banking services, handling client enquiries, and maintaining strongclient relationships. The role involves engaging with customers, providingaccurate service information, and ensuring a positive client experiencethroughout their journey.

You will also support lead follow-ups and client retention effortswhile working closely with the team to achieve service and business objectives.

Key Responsibilities

• Promote cord blood banking services to prospective and existingclients
• Handle client enquiries and provide professional service information
• Build and maintain strong, long-term client relationships
• Support lead follow-up and customer retention activities
• Assist with coordination of client communications and processes

Qualifications

• Min. Degree/Diploma in any discipline
• Strong communication and interpersonal skills
• Good negotiation and client engagement abilities
• Able to work independently and as part of a team

Interested candidates please send in your resume to:

clinicalresearch@recruitexpress.com.sg

Hayley Ho

OutsourcingTeam

Company Reg.No. 199601303W

EA Licence No. 99C4599