We are seeking a talented and motivated Data Scientist to join our analytics team, focusing on policy services and payments within the insurance sector. As a Data Scientist, you will analyze complex data sets related to policy administration, customer interactions, and payment transactions to provide actionable insights that drive our business strategies and decision-making processes.

This role will require you to demonstrate your strong analytical skills & ability to story tell key messages back to the business.

Responsibilities:

• Analyze large and complex data sets related to policy administration, payment transactions, customer demographics, policy renewals, and service interactions.
• Develop and implement predictive models and algorithms to improve policy retention, customer satisfaction, payment processing efficiency, and fraud detection.
• Collaborate with policy services, payments, underwriting, IT, and customer service teams to understand business requirements and translate them into analytical solutions.
• Perform data preprocessing, cleansing, and validation to ensure data quality and accuracy.
• Create data visualizations and dashboards to communicate findings to stakeholders.
• Use statistical techniques to interpret data and make recommendations for process improvements and strategic initiatives.
• Monitor policy service and payment system performance and identify opportunities for optimization and enhancement.
• Stay up-to-date with the latest industry trends and advancements in data science, analytics, policy services, and payment technologies.
• Document and present analytical methodologies and findings to both technical and non-technical audiences.

Requirements:

• Bachelor’s or master’s degree in data science, Statistics, Computer Science, Mathematics, or a related field.
• 4+ years’ experience as a Data Analyst or similar role is preferred.
• Proven experience as a Data Scientist, preferably in the insurance industry or with policy services and payment systems.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with ETL tools, data visualization tools (e.g., Tableau or PowerBI) and statistical analysis (e.g., hypothesis testing, regression, predictive analytics) is a must.
• Strong analytical and problem-solving skills with attention to detail.
• Knowledge of machine learning techniques and algorithms.
• Familiarity with insurance data, policy administration systems, and payment processing is a plus.
• Ability to draw insights from data to provide practical solutions.
• Ability to explain technical concepts in a clear and succinct manner to various stakeholders.
• Being able to work independently once the tasks are defined.
• Being pro-active in identifying ways of improving how we operate as a team.
• Willing to explore data science projects and learn new technologies

Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Develop, implement, and maintain training programs that align with organizational goals and employee development needs
• Work with department heads and managers to assess training needs and design programs to meet those needs
• Schedule and coordinate training sessions, workshops, and seminars, ensuring logistical arrangements are in place (e.g., venue booking, equipment, materials)
• Serve as the point of contact for trainers and ensure they have the necessary resources to deliver successful training
• Maintain records of employee training activities and monitor progress to ensure completion and success of training programs
• Collect feedback from trainees and managers to assess the effectiveness of training programs and recommend improvements
• Oversee and maintain the company’s Learning Management System (LMS), ensuring all training materials are updated and accessible
• Ensure all training complies with industry standards and regulations, and track certification status where applicable
• Assist in budgeting for training programs and track expenses, ensuring cost-effective training solutions. Provide reports on training outcomes and ROI
• Stay updated on industry trends and best practices, and introduce new training methods and technologies to enhance the training experience

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong organisational and time-management skills to manage multiple training programs simultaneously
• High attention to detail to ensure training materials are accurate and effective
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Provide day-to-day administrative assistance to the team, including scheduling appointments, managing calendars, and preparing reports
• Maintain and organize client files, financial records, and confidential documents in compliance with regulatory standards and company policies
• Act as the first point of contact for clients, handling inquiries professionally and ensuring timely follow-ups
• Accurately input data into internal systems, generate reports, and ensure the integrity and confidentiality of all information
• Assist in planning team meetings, client reviews, and events by booking venues, preparing materials, and coordinating logistics
• Assist in preparing and filing necessary documents for compliance with financial regulations and internal audits
• Monitor and manage correspondence, including emails and phone calls, ensuring messages are relayed promptly to the appropriate parties
• Ensure office supplies are stocked, equipment is functioning, and overall office operations run smoothly
• Work closely with finance, marketing, and operations teams to ensure seamless execution of administrative and operational tasks

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong organizational and time management skills, with the ability to prioritize tasks effectively
• Ability to work independently and collaboratively in a team environment
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Provide general administrative support to the office, including handling phone calls, emails, and scheduling appointments
• Maintain office supplies inventory and order new materials as needed. Ensure the office environment is clean, organized, and conducive to productivity
• Assist with filing, organizing, and maintaining both physical and digital files, ensuring proper storage and retrieval of documents
• Input and update data into various systems or spreadsheets, ensuring accuracy and up-to-date records
• Greet visitors and clients, direct them to the appropriate staff members, and provide assistance as needed
• Assist in coordinating and setting up meetings, presentations, and company events, including booking rooms and preparing materials
• Help manage office schedules and appointments for executives and teams, ensuring efficient time management
• Receive, sort, and distribute incoming mail and packages, and ensure outgoing mail is sent in a timely manner
• Provide general office support to other departments or teams as needed, ensuring smooth collaboration across the organization
• Perform other administrative tasks or special projects as assigned by management, contributing to overall office efficiency

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong organizational and time management skills, with the ability to prioritize tasks effectively
• Attention to detail and accuracy in all tasks
• Ability to work independently and collaboratively in a team environment
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

Responsibilities:

• Assist with daily administrative tasks on-site
• Maintain accurate records and documentation
• Liaise with project teams and clients as needed
• Ensure compliance with company policies and procedures

Requirements:

• Previous experience in an administrative role is preferred
• Strong organizational and communication skills
• Proficiency in MS Office
• Transport provided from the nearest MRT station
• Opportunity to work in a supportive and collaborative environment

Site Construction Manager with CSA and MEP work experience on Data Center Projects preferred.

Job Descriptions:

• Monitor and review master construction programme and preparation of catch-up programme if applicable
• Monitor and supervise Engineers/foreman, ensure compliance of the qualify procedure & standard of workmanship. Checking on quality and quantity of work by subcontractors
• Preparation of detailed programme for site team to follow accordingly and complete on time
• Resolve drawing discrepancies and technical difficulties with technical team
• Preparation of detailed method statements and work instructions for construction
• Coordinate between Private Client / sub-contractors /inter-departments and monitor site manpower and resources to meet schedules
• Liaise with the Design team on the submission of related CSA & MEP works and technical issues
• Plan all works on site, including programme schedules and construction methods, forecast equipment, material and manpower requirement usage etc
• Monitor progress against programme and cost against budget
• Promote and enforce a safe working environment
• Ensure works are compliant with the specifications and QA requirements

Job Requirements:

• Degree/Specialist Diploma in Civil Engineering/ Electrical Engineering / Mechanical Engineering or equivalent
• 10 years of relevant CSA & MEP project management experience i.e. RC works, Building works which includes experience in Data Center projects with 5 years in Site / Construction Manager roles and operational experience.

Responsibilities:

1. Assist in managing and analysing data assets, ensuring data quality and accuracy.
2. Collaborate with teams to understand data needs and contribute to data solutions and projects.
3. Utilize data analytics tools and techniques to assist in deriving meaningful insights.
4. Support data visualization efforts to communicate findings to stakeholders.
5. Participate in data governance and compliance initiatives to uphold data security and privacy.
6. Contribute to the documentation of data processes and procedures.
7. Stay informed about industry trends in data analytics and best practices.
8. Provide support in data-driven business planning and performance enhancement.

Qualifications:

• Bachelor's degree in Software Engineering, or a related field.
• Minimum 5 years of experience or understanding of data analysis, data management, and data visualization.
• Hands on experience with data analytics tools such as SQL, Python & Coding
• Good problem-solving and analytical skills with an eagerness to learn and grow.
• Strong attention to detail and organizational abilities.
• Collaborative mindset and willingness to work in a team-oriented environmen

Interested candidate please submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile > https://sg.go.persolkelly.com/job/apply/10579

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

This is in partnership with 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 with 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 nationwide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

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

PERSOLKELLY Singapore Pte Ltd

• RCB No. 200007268E • EA License No. 01C4394

• Registration ID <R1105286> (Ngiam Xinyi)

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Position: Data Processing
Department/Location: Novena Square
Working Hours:

• Monday to Thursday: 8:30 AM to 6:00 PM
• Friday: 8:30 AM to 5:30 PM

Position Duration: 4 months (starting February 2025)

• Job Responsibilities:
• Collect and compile data from various web applications.
• Clean and organise raw data to ensure accuracy and completeness.
• Perform basic data analysis tasks.
• Create and maintain databases.
• Generate routine reports and data visualisations.
• Assist in interpreting data and identifying trends for actionable insights.
• Support team members in reviews and analyses based on data insights.
• Contribute to research projects conducted by the team.

Requirements:

• Proficiency in Microsoft Excel.
• Familiarity with data analysis tools.
• Strong attention to detail and accuracy.
• Good problem-solving skills.
• Effective written and verbal communication skills.
• Ability to meet deadlines and manage multiple tasks efficiently.

This role is an excellent opportunity to gain hands-on experience in data processing and analysis. If you meet the requirements and are available for the stated duration, we encourage you to submit your application promptly!

JOB SUMMARY

• The Financial crime end to end Programme aims to evaluate FC processes E2E to improve client experience, enhance control effectiveness and deliver cost transparency. The Financial Crime Data Analytics Specialist is a pivotal role focused on driving data-driven insights across the entire financial crime lifecycle pan bank (CIB and WRB), to produce comprehensive process and cross functional data driven insights.
• This role requires a strategic thinker with the ability to assess financial crime processes, analyze costs, and uncover opportunities to optimize operations and reduce inefficiencies while maintaining regulatory compliance.
• As a subject matter expert in financial crime analytics, you will collect, analyze, and interpret data from diverse functions—including KYC, EDD, transaction monitoring, names screening, transactional screening, case management, RFI, SARs filing etc. You will provide actionable insights, develop interactive dashboards, and identify trends to support performance improvement and cost reduction initiatives.

RESPONSIBILITIES

1. Comprehensive Financial Crime Process Analytics

• Conduct detailed analyses of financial crime workflow
• Collect data from e2e processes across functions to uncover insights that are not typically covered within function’s analytics including identify inefficiencies, bottlenecks, and redundancies across teams and systems.
• Assess how financial crime processes interact, ensuring that dependencies between functions (e.g., alert triaging and case escalation) are optimized.

2. Financial Crime Cost and Resource Analysis

• Analyze financial crime cost structures, focusing on operational, technology, and resource-related expenses.
• Identify cost drivers and inefficiencies, providing recommendations for cost optimization without compromising compliance or effectiveness.
• Monitor and report on the financial impact of operational changes, including automation and resource allocation adjustments.

3. Data Integration and Management

• Aggregate data from multiple systems and functions, ensuring consistency, accuracy, and completeness.
• Integrate external data sources such as sanctions lists, adverse media feeds, and various detection systems to enrich analytics.
• Ensure adherence to data governance and regulatory requirements, establishing trusted datasets for comprehensive analysis.

4. Advanced Analytics and Insight Generation

• Use statistical and predictive analytics to identify trends, anomalies, and emerging risks in financial crime processes.
• Develop models to analyze false positive rates, throughput times, and alert-to-case conversion rates, identifying areas for improvement.
• Provide actionable insights to enhance the effectiveness and efficiency of risk detection and mitigation processes.

5. Reporting, Visualization, and Performance Monitoring

• Design interactive dashboards and detailed reports tailored to the needs of compliance, risk, and senior leadership teams.
• Create visualizations that clearly communicate key metrics and highlight areas of risk, inefficiency, and opportunity.
• Establish metrics and KPIs to continuously monitor the performance of financial crime functions and their integration points.

6. Driving Process Improvements

• Collaborate with process owners to implement data-driven recommendations for improving workflows, reducing manual effort, and streamlining operations.
• Support the adoption of advanced technologies such as automation, machine learning, and AI to enhance detection capabilities and reduce operational burdens.
• Conduct root cause analyses to address recurring inefficiencies, ensuring sustainable improvements across functions.

7. Stakeholder Engagement and Collaboration

• Partner with Compliance, Risk, Operations, and Technology teams to ensure alignment on analytics initiatives and regulatory expectations.
• Act as a bridge between financial crime functions, fostering collaboration and holistic problem-solving.
• Support audit and regulatory requests by providing comprehensive data analysis and insights into financial crime operations.

8. Continuous Learning and Adaptation

• Stay informed about regulatory changes, industry best practices, and emerging financial crime typologies.
• Incorporate evolving risks and trends into analytics models and reporting frameworks.
• Evaluate and refine analytics tools, methodologies, and processes to adapt to the dynamic financial crime landscape.

Key Deliverables

• Development of end-to-end financial crime performance metrics.
• Analytical models to assess costs, resource utilization, and process effectiveness.
• Interactive dashboards providing transparency for FC E2E processes
• Data-driven recommendations for process improvements and cost reduction initiatives.
• Reports for senior management highlighting opportunities for optimization and progress on key initiatives.

Strategy

• Provide input to the vision of bank’s Financial Crime processes to future proof the bank.
• Continuously develop knowledge of business processes and understanding of industry best practice.

Business

• Partner with stakeholders across the organisation (WRB, CIB, FCSO, FCC CIO, Data)

Processes

• Understand WRB and CIB processes related to Financial Crime business strategy and align process improvements and metrics to these priorities

People & Talent

• Support a change mindset, building a culture of client centricity, improvement habit, agility, and accountability through standardised metrics and measurement, with the expectation that everyone in Operations are drivers and owners of client outcomes.
• Continually strive to share key relevant knowledge and learnings with the others across the team.
• Lead through example and build the appropriate culture and values, embedding a high level of team engagement.
• Ensure ongoing training and development for professional and personal self-growth.

Risk Management

• Manage changes and reporting in line with all relevant risk management frameworks, where applicable

Governance

• Develop awareness and understanding of the regulatory framework in which the Group operates and the regulatory requirements and expectations relevant to the role.
• Support effective governance in compliance with applicable internal policies and external laws and regulations, overseeing changes in business controls as required.

Regulatory & Business Conduct

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

Key Stakeholders

• FC E2E Programme Director
• FC E2E Accountable Executives (WRB & CIB)
• FCSO & FCC MT
• Head of KYC/ Onboarding and key Subject Matter Experts in CIB and WRB
• Head of Compliance and key Subject Matter Experts
• Head of Data/ Chief Data Office
• T&O Programme Management
• Programme Directors, Hives, Architects and Product Owners of Satellite Programs contributing to the delivery of the FCE2E transformation.

Other Responsibilities

• Analytical - Excellent analytical skills, including ability to use business intelligence tools, and sort through complex data to articulate business trends and implications.
• Discipline - Excellent time-management skills and ability to handle multiple tasks simultaneously. Highly process and policy oriented.
• Attitude - Goal-oriented, positive and proactive. Comfortable in a fast-paced, results-oriented work environment. Ability to communicate effectively with senior leaders.

Our Ideal Candidate

• 5+ years in data analytics within the financial services industry or within Banking industry.
• Work experience especially in Financial Crime related roles is a requirement.
• Strong understanding of Financial Crime related processes, technology, rules and regulations are requirements,
• Bachelor’s or Master’s degree in Data Analytics, Business Analytics, Statistics, Computer Science, Finance, or a related field.
• Advanced expertise in analytics tools (e.g., SQL, Python, R) and business intelligence platforms (e.g., Tableau, Power BI).
• Experience in data integration, process mining, and workflow analysis tools.
• Strong understanding of data governance, quality assurance, and management best practices.
• Comprehensive knowledge of financial crime processes
• Understanding of financial crime typologies, emerging risks, and advanced detection techniques using AI/ML.
• Exceptional analytical skills, with the ability to uncover insights from complex datasets and translate them into actionable recommendations.
• Strong problem-solving skills, focused on practical and sustainable improvements.
• Ability to articulate technical findings to diverse stakeholders, including non-technical audiences.

Role Specific Technical Competencies

• Data Science
• Statistics
• Written and oral presentation skills
• Data Science & Programming (Python & R)
• Business intelligence platforms (e.g., Tableau, Power BI).
• Financial Crime knowledge

About Standard Chartered

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

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

Together we:

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

What we offer

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

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

Recruitment Assessments

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

Visit our careers website www.sc.com/careers

Hey Hey! Are you seeking an opportunity that helps you improve and grow your personality?

Our company is expanding!!

We are looking for an enthusiastic Junior Marketing to join our growing team. We provide development on personal growth, communication skills and we never fail to see teammates walking in and out of the office smiling. :)

Responsibilities:

-Achieve sales target and improve the sales of clients' company

-Creating awareness about the product or services that our clients is providing

-Lead a sales and marketing team and facilitating team’s growth

-Get involved in client’s marketing through business development

-Develop analytical and problem-solving skills

What do we want from you?

-No experience? Fear not, 1-1 mentorship and guidance are provided!

-Keen learning attitude and enjoy interacting with new people

-Hunger for personal development and progress

-Team player

Benefits:

-Attractive Performance Incentives

-Overseas Travelling Opportunities

-Fun Environment

-Team bonding activities

Summary of role requirements:

• No experience required for this role
• Working rights required for this role
• No experience required for this role
• Expected salary: $3000-$5000 per month

We regret to inform you that only shortlisted candidate will be notified.

Join us today!!!

Salary: up to $3000

Working Days & Hours: Mon-Fri Office Hours, Sat half day

Location: Novena

Job Description:

• Clinic duties
• To ensure accuracy of all documentations related to patient care in the system.

Job Requirements: Min NITEC in Nursing & VALID SNB BCLS

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

• Good Bonus - AWS + up to 6 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply

• Entry level / Junior / Senior / No experience welcome apply X 3 Opening

• Full training provided

Responsibilities:

To manage and execute EMS/DMS SCADA projects and service contracts

Carry out routine and corrective maintenance, software enhancement, bug fixes, testing and commissioning to meet contractual requirements

Ensure smooth and proper execution of projects/contracts

Requirements:

Diploma/Degree in Electrical/Electronics/Computer/Software Engineering from a recognised Polytechnic/University

Preferably have some working experiences in executing /maintaining of SCADA and Substation Automation System.

Our benefits and compensation for permanent position are as follows:

Salary for experience candidates will be considered based on the years of experience and our internal salary structure

1 month AWS

Variable Bonus ranging from 1 to 6 months depending on individual and company performance

Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

Working days: Monday to Friday (1 day work from home per week)

Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

18 days up to 21 days for executive (Engineer and above)

Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

Term Life

Personal Accident

Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

Flex Dollars of $500 per financial year

Free annual year-end Health Check-Up

Monthly Birthday Party Celebration

Monthly Sports Activities

New Born Gift

CSR Initiatives

Department Bonding Activities

Biennial team building and staff appreciation dinner

Gym Corner for employees to exercise

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

• Good Bonus - AWS + up to 6 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply

• Entry level / Junior / Senior / No experience welcome apply X 3 Opening

• Full training provided

Responsibilities:

Technical support for Protection Projects/Services

Handling testing and commissioning activities at site

Perform wiring check in workshop and at site

Project Management

Requirements:

Diploma in Electrical/Electronic Engineering from a recognised Polytechnic

Our benefits and compensation for permanent position are as follows:

Salary for experience candidates will be considered based on the years of experience and our internal salary structure

1 month AWS

Variable Bonus ranging from 1 to 6 months depending on individual and company performance

Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

Working days: Monday to Friday (1 day work from home per week)

Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

18 days up to 21 days for executive (Engineer and above)

Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

Term Life

Personal Accident

Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

Flex Dollars of $500 per financial year

Free annual year-end Health Check-Up

Monthly Birthday Party Celebration

Monthly Sports Activities

New Born Gift

CSR Initiatives

Department Bonding Activities

Biennial team building and staff appreciation dinner

Gym Corner for employees to exercise

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Responsibilities:

Planning, coordination, and execution of substation automation projects.

Design, costing and integration of substation automation systems according to project requirements.

Installation, testing and troubleshooting of substation automation systems at site.

Preparation of project documents and drawings.

Requirements:

Diploma in Electrical Engineering/Computer Engineering

Knowledge of data communication and Automation Systems for Electrical Network

Our benefits and compensation for permanent position are as follows:

Salary for experience candidates will be considered based on the years of experience and our internal salary structure

1 month AWS

Variable Bonus ranging from 1 to 6 months depending on individual and company performance

Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

Working days: Monday to Friday (1 day work from home per week)

Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

18 days up to 21 days for executive (Engineer and above)

Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

Term Life

Personal Accident

Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

Flex Dollars of $500 per financial year

Free annual year-end Health Check-Up

Monthly Birthday Party Celebration

Monthly Sports Activities

New Born Gift

CSR Initiatives

Department Bonding Activities

Biennial team building and staff appreciation dinner

Gym Corner for employees to exercise

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Responsibilities

• Assist with key entry of shipment information
• Ensure on-time and accuracy of key entry
• Support administrative duties
• Any other duties assigned from time to time

Requirements

• Possess at least GCE ‘O’ or ‘N’ Certificate
• Preferably with 1 - 2 years of relevant experience
• Team player; able to work independently with minimum supervision
• Computer literate; typing speed of 40wpm

[Job ID: 739234]

Responsibilities:

• Lead a group of Production Technicians in the safe and smooth running of the production
• Assist the Process Engineer to conduct activities and projects to optimize operation during Shift to achieve operational and cost efficiency
• Troubleshoot plant/equipment/quality issues and recommend countermeasures.
• Monitor and ensure plant equipment integrity and reliability.
• Assist the Process Engineer to support Shift operation by providing suitable operating conditions for stable plant operation and product quality control
• Train and develop team members
• Any other ad hoc duties assigned

Requirements:

Candidates without any prior work experience are welcome to apply.

[Must]

• Have knowledge of process control and troubleshooting, hands on knowledge of plant equipment and instrumentation.
• Essential prerequisites include good analytical and technical report writing skills, ability to be a team player with leadership, initiative, drive & commitment, able to take pressure and able to communicate well with others.
• Able to commit to shift working schedule

[Advantage]

• 1- 2 years of experience in petroleum, chemical or polymer industries

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EA License no.: 07C5771
EA Personnel Reg. No.: R22107257
EA Personnel Name: Li Wai Chun

Associate Scientist (In Vivo Imaging Biomarkers), Biomarkers & Data Analytics, Quantitative Biosciences (2 years contract)

At our company, we are committed to becoming the premier, research-intensive biopharmaceutical company and are dedicated to providing leading innovations and solutions for today and the future.

Our Research Scientists are our Inventors. We identify and target steps in disease mechanisms or pathways that could be inhibited or enhanced. Our goal is to isolate a compound that is effective against a disease target. Using innovative thinking, state-of-the-art facilities and robust scientific methodology we collaborate to discover the next medical breakthrough.

We are seeking an Associate Scientist to join our Biomarkers & Data Analytics team at our research laboratory in Singapore. Our team focuses on synergizing medical and disease biology, imaging & omics technology, bigdata, and data science to discover, develop, and deploy novel biomarkers for diseases with critical unmet needs, and to accelerate the discovery and development of new drugs.

In this role, you will utilize artificial intelligence/machine learning (AI/ML) and image analysis techniques to develop imaging biomarkers using state-of-the-art medical imaging platforms (e.g., OCT, Fundus, MRI).

This position plays a role in transforming extensive preclinical and clinical imaging data, along with biobank data, into valuable insights that advances our drug discovery efforts. Additionally, you will collaborate closely with experienced scientists, learn from industry leaders, and contribute to impactful projects that have the potential to shape the future of medicine.

WHAT YOU WILL DO

Responsibilities include, but are not limited to:

• Execute routine in vivo ophthalmology and neuroscience image analysis to support drug development pipeline operations.
• Optimize, and troubleshoot the analysis of the in vivo medical images and data to support drug discovery, ensuring timely project execution.
• Proactively contribute to the development of novel imaging biomarkers, including the development of AI/ML-enabled software algorithms for image & data analysis.
• Analyze large datasets from biobanks/cohort studies to advance our understanding of human biology and disease processes.
• Contribute to scientific literature and database searches to help the team develop imaging biomarkers, inform drug development strategies, and generate business insights.
• Maintain data integrity and compliance by managing data lifecycle, accurate record keeping, authoring documentation including image analysis workflows, research reports, project meeting minutes and study logs.
• Collaborate with internal teams and external partners across multiple sites to enhance AI-based imaging workflows, actively contributing insights and developing automated solutions for imaging biomarker analysis.
• Participate in team meetings and contribute to discussions on project progress and findings. Attend and potentially present at relevant conferences, demonstrating a commitment to professional growth and knowledge expansion.
• Present findings and insights to the team and stakeholder.

WHAT YOU MUST HAVE

To be successful in this role, you will have:

• Bachelor’s or Master’s Degree in Genetics, Neuroscience, Biomedical Engineering, Data Science, Computer Science, Electrical Engineering, Bioinformatics, Computational Biology, or a related field.
• Previous experience in a research setting, particularly in developing and implementing AI-based imaging analysis pipelines is preferred.
• Hands-on experience in image processing, computer vision, or AI/Machine Learning, using languages like MATLAB, Python, or R; including scikit-learn, pytorch, tensorflow tools.
• Exposure to or at least strong understanding of big data (e.g., UK Biobank), epidemiology, statistical genetics/phenomics or public health is a plus.
• Hands-on experience with data analytics and visualization using MATLAB, Python (seaborn, matplotlib) or R (ggplot2, corrplot).
• Knowledge of imaging modalities used in ophthalmology and neuroscience is an advantage.
• Collaborative mindset and excellent communication skills to successfully partner and work with other team members as well as stakeholders across groups to achieve results.
• Strong organizational skills, attention to detail, and ability to work independently and as part of a team.
• Innovative mindset for experimenting with new ideas and approaches.
• Effective written and oral communication skills.

What You Can Expect:

• Opportunity to work at the interface of multiple disciplines and integrate medical and disease biology, imaging and novel technologies, bigdata/biobanks and AI-ML/data science.
• Collaboration with a team committed to leveraging AI/ML for drug development.
• Opportunities for applying your innovative mindset to experiment with new ideas and approaches.
• A supportive working environment that fosters career growth and continuous learning.

Additional Information:

• Please provide a LinkedIn profile, publications in conferences/journals, or any relevant profiles (Google Scholar, Github, Stack Overflow, Arxiv, and/or Kaggle) if available.

Benefits:

• Basic up $2500 - $3000
• North
• 5days work week

Job Scope:

• Assist in project coordination, equipment installation arrangement, testing and commissioning
• Assist manager in provide solution to the tasks requested by clients on problem of all Electrical
• Liaise with clients, vendors, contractors and sub-contractors
• Build positive relationship with customers and clients
• Work with internal department for process of project claim, Variable order(if any) etc
• In charge of project hand over to client or maintenance department

Job Requirement:

• Diploma in Electrical/Electronic or relevant engineering is advantage
• Entry level, no experienced required

Please submit your updated resume in MS word format by using the APPLY NOW BUTTON.

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Jasmine Wong (R22107578)

Billing Clerk

Working Day: Mon - Fri 8am - 5pm, Sat 8am - 12pm

Salary: $2000 – $2500

Location: Changi

Responsibilities:

• Invoice issuance & verification
• Data Entry
• Calculate & record payments
• Updating accounting records
• General admin duties as assigned

Requirement:

• Min 1 year relevant experience