• Evaluate the potential consequences of changes to upstream and downstream systems.
• Develop and maintain programs (shell scripts, SQL scripts) adhering to coding standards and best practices.
• Follow the organization's SDLC processes, creating and updating relevant documentation.
• Participate in system design, review, and improvement, ensuring security and performance.
• Diagnose, troubleshoot, and resolve production issues, implementing both short-term and long-term solutions.
• Perform routine maintenance tasks, including disaster recovery drills and software updates.
• Provide ad-hoc support, data analysis, and troubleshooting to users.
• Manage, maintain, and optimize applications to meet service level expectations.
• Identify and implement improvements to enhance system performance and functionality.
• Coordinate and support production releases, including on-call and after-hours support.
• Proactively identify, assess, and escalate potential risks and issues.

Requirements:

• Hold a master’s or bachelor’s degree in Information Technology, Computer Science, Management Information Systems, Banking and Finance, or a related field.
• Have a minimum of 2 years of experience in MS SQL Server development, including work on SSIS packages, stored procedures, functions, and triggers.
• Demonstrate familiarity with the Software Development Life Cycle (SDLC) process.
• Exhibit strong problem-solving skills and thrive in a dynamic technical environment, with the ability to multitask and deliver high-quality solutions.
• Possess a comprehensive understanding of database management systems.

To apply, please visit www.gmprecruit.com and search for Job Reference: 25015

To learn more about this opportunity, please contact Gia Grace at [email protected]

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

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

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

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

Multiple locations available

- Pioneer

- Tai Seng

- Hougang

- Kallang

- Ang Mo Kio

- Loyang

Gross Salary

Full-Time : S$3,300/Month

Part-Time : S$150/Day

Working Hours

- 12 hours shift

- Alternate 5 and 6 working days per week (24 working days)

- Rotating shift (0800hrs - 2000hrs and 2000hrs - 0800hrs)

Requirement

- Valid SO license

- 1 notification available

- Ability to perform intermittent patrols and escorts

- Proficient in using a mobile app for reporting

- Access control and safeguarding premises

SRS provide comprehensive medical and leave benefits. If you are interested in this role, please submit your resume via the "Apply Now" option.

Job Description Summary

Converts business problems to hypotheses and builds, validates, and deploys well packaged models to solve them using a well-defined methodology, statistics and mathematics, domain expertise, consulting, data engineering and modeling.

Job Description

As a Data Expert at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day you will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. Youll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.

Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Job Qualifications

Who You Are
You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.

Required Skills and Experience

• 5+ years of AI and Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
• Collaborate with customers and account partners to identify new AI opportunities, and build proposals and pitch materials to position Kyndryl as a trusted partner for AI & Data transformation
• Organize and lead educational and ideation AI and Generative AI workshops for customers
• Understand customer's needs and assess their AI maturity
• Evaluate and recommend appropriate AI frameworks, tools and platforms
• Lead AI feasibility studies and PoC projects to demonstrate the value and viability of AI solutions
• Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit
• Have experience in cloud services of AWS / GCP / Azure to deploy AI products
• Collaborate with AI architects and engineers to design and develop AI and Generative AI solutions tailored to the clients’
• requirements
• Lead integration and deployment of AI solutions into customers’ existing infrastructure
• Stay updated with the latest advancements in AI and Generative AI technologies, trends and best practices and develop thought leadership and PoV on AI
• Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing
• discussions
• In-depth understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as
• generative adversial networks (GANs), variational autoencoders (VAEs), etc.)
• Good knowledge of AI frameworks, tools, and platform such as TensorFlow, PyTorch
• Knowledge and affinity of GenAI libraries and tool sets included HuggingFace, LangChain, RAGAS and more
• Experience working with customers in different

Preferred Skills and Experience

• Bachelor's degree in computer science, Information Security, or a related field Skilled in planning, organization, analytics, and problem-solving.
• Excellent communication and interpersonal skills to work collaboratively with clients and team members.
• Comfortable working with statistics.
• Advanced skills in PowerPoint and Excel.
• Strong Business acumen and understanding of industry trends and challenges in AI and Generative AI .
• Strong leadership skills and proactive and self-driven attitude.
• Advanced communication and storytelling skills.
• Highly adaptable and flexible through shifting priorities.

Job Description:

• Responsible for ensuring the availability and reliability of multiple data centers to meet IDC operational requirements.
• Conduct daily inspections of servers, switches, power environments, etc., to maintain a good operating environment in the data center and provide feedback data.
• Install, maintain, and troubleshoot server equipment in the data center, including hardware installation, maintenance, and fault handling.
• Responsible for data center equipment migration and server system installation and configuration, such as Windows/Linux systems.
• Assist in troubleshooting CentOS and other Unix-like systems, identify and resolve faults, and provide timely feedback on issues.
• Troubleshoot and resolve data center network equipment and switch failures, such as switch replacements and link failures.
• Promptly respond, provide feedback, and follow up on troubleshooting for daily issues and emergency incidents.
• Responsible for adjusting and arranging the physical links in the data center, such as fiber optics, Ethernet cables, and power cables.
• Conduct regular inspections, maintenance, replacement, and repairs of all servers and spare parts in the data center.
• Provide various daily reports on time and be available for alternating day and night shifts.
• Support spare part inbond and outbond in Warehouse

Job Requirement:

1. Diploma/Bachelor’s degree or above in Engineering, Computer Science, Information Technology, Security, or equivalent;

2. Proficient in Chinese and English to liaise with clients from China;

3. 1-3 years of IT experience; outstanding fresh graduates are totally welcomed;

4. Provide 24/7 alternating support for day and night shifts, with each shift lasting 12 hours, totaling 3 or 4 shifts per week.

Purpose: To create, control and manage changes to customer's Technical Product Data (TPD) packages (Items, Bill of Materials, Product specification documents) in the Product Lifecycle Management (PLM) and Enterprise Resource Planning (ERP) systems. To deploy TPD changes to the relevant Persons-in-Charge (PICs) for execution.

Key Area of Responsibilities:

• Check the correctness and completeness of product packages, such as Technical Product Data (TPD) and Bill of Materials (BOM) received from customers.
• Work with the user of TPDs to define the new TPD requirement and update the ISO document (for new customers or any change in TPD requirement).
• Maintain required customer items, BOM, and TPDs in PLM and ERP systems.
• Create and control the item part number, BOM and TPD in the PLM and ERP systems.
• Create projects in the ERP system for the fulfillment of customer Sales orders.
• Implement Engineering Change Order (ECOs) and deploy the changes to the next inline PIC (such as planner, purchaser, process engineer and Sales & Program dept.)
• Check and ensure all required information for the TPD (items, BOMs, documents) and/or configuration change are provided, and approved by the customer.
• Support and participate in company continuous improvement program.

Qualification & Experiences:

• Diploma/Degree in Mechanical Engineering/Science or relevant field.
• Minimum 2 years of working as a product data engineer in the semiconductor industry or similar position.
• Proficient in Microsoft Excel functions
• Good communication skills

Job Summary

An exciting opportunity for Data Analyst to work on projects for compliance surveillance systems support in processing analytics data, for a reputed bank.

Mandatory Skill-set

• Degree or Diploma in Software Engineering, Computer Engineering, Information Technology and related Discipline;
• Ability to work independently with Python and SQL and strong ability to process large volume of data;
• Has knowledge and experience of creating Dashboards – either PowerBI / Tableau / Qlik;
• Basic understanding of Rules Based and Machine Learning models;
• Excellent interpersonal, communication skills and able to function with multiple teams;
• Proactive with a go-getter attitude.

Desired Skill-set

• Experience in AML/CFT;
• Familiarity with SWIFT transactions and/or sanctions screening;
• Work experience in banking industry.

Responsibilities

• Collaborate with business units to investigate and resolve reported issues or queries related to compliance surveillance systems;
• Process and analyze data to assist with investigations into Anti-Money Laundering (AML) and Countering the Financing of Terrorism (CFT);
• Perform tuning and optimization to enhance the functionality and efficiency of compliance surveillance systems;
• Refine and optimize machine learning models to improve compliance monitoring and detection capabilities;
• Participate in projects focused on the maintenance and enhancement of compliance surveillance systems and provide support for analytics data processing;
• Demonstrate proactive learning and adaptability to stay informed about regulatory changes and advancements in compliance technology;
• Effectively manage time and prioritize tasks to meet deadlines while maintaining high-quality outputs.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

Are you looking to work with AI & RPA in a global organization committed to sustainability and innovation?

Don't look further and join Grundfos!

Job purpose:

To strategically lead the AI and automation delivery organization within CBS, driving the ideation, development, and implementation of the global CBS AI and RPA roadmap to enhance operational efficiencies, customer satisfaction, and competitive advantage globally, by operationalizing a new capability center in Singapore.

Key Accountabilities / Responsibilities

• Establish and operationalize a dedicated capability center in India for in-house AI development, and continuously lead and manage a highly motivated team. (20%)
• Establish and facilitate forums to engage and negotiate with senior management across CBS, cross-divisionally, and group functions to define and align AI initiatives and business objectives. (15%)
• Strategically formulate and deploy an AI and automation operating model, involving key stakeholders across CBS and Grundfos to foster innovation with cutting-edge technologies. (15%)
• Define and execute the AI and RPA roadmap to drive operational efficiencies across End to End CBS, and deliver value for One Grundfos. (15%)
• Lead the team to continuously develop processes, capabilities, and ways of working, and head technological progress and development to fulfill the business needs for scaling and technical advancements. (10%)
• Lead the change to ensure stakeholders are committed and actively participate in roadmap implementation, driving a strong collaboration and trust culture across team members and key collaboration partners for ideation, development, delivery, and implementation. (10%)
• Manage a global and diverse team, fostering a culture of innovation in a fast-paced and complex environment. (5%)
• Oversee budgeting and funding activities, ensuring optimal allocation and utilization of resources. (5%)
• Facilitate effective communication towards the CBS Leadership team to approve and prioritize roadmap activities and communicate decisions across the CBS organization. (5%)

Required Minimum Qualifications:

• Proven experience developing and executing key strategic initiatives within a complex business environment; experience working in a global environment is required.
• A Master’s degree in a relevant field is required.
• Knowledgeable of agile methodologies, demonstrating the ability to adapt quickly to change and efficiently deliver projects in a dynamic and iterative development environment.
• Experience developing and implementing operating processes and setting strategic direction for AI and automation initiatives, in a global context.
• Strong leadership in driving AI initiatives across functions, with a high focus on End-2-End impact
• Experience in leading people directly or indirectly.
• Ability to influence and guide teams and stakeholders.
• In-depth knowledge of AI and RPA applications and best practices.
• Expertise in technical RPA and AI solutions in order to set direction.

Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Payroll Assistant

Working Location : Bukit Merah Central
Working hours : 8.30 am to 6 pm - Working days : Monday to Friday

Key Responsibilities:
• Liaise with Institutional HR for necessary instructions & documents required for payroll processing.
• Perform monthly payroll computation of various cost centers.
• To be involved in month-end closing and accounts reconciliation.
• Process employees' claims, IR8A, and all other related tax forms and filings.
• Responsible for CPF contribution/refund.
• Attend to enquiries from employees.
•A team player with a positive attitude and customer-oriented mindset
• Strong interpersonal, communication, and analytical skills
• Proficient in Microsoft Office applications
• Hands-on experience with SAP system and/or shared service payroll experience will be an added advantage

• Only Singaporean

Job Requirements:
• O/A/Diploma/Degree in any discipline
- At least 1-3 years’ relevant Payroll experience for Assistant
• Meticulous with an eye for detail

• Salary Range: $2600 - $2800 + OT + AWS

• Performance Bonus and Attendance Bonus provided

• Working days & hours: 9:00AM – 6:00PM (Monday – Friday)

• Working Location at Ang Mo Kio

• Excellent Welfare & Benefits

• Well Established Network Provider Company

• Aircon Environment

Job Scope

• Responsible for dealing with problems in the delivery process, proactively reporting and timely obtaining solutions in case of problems that cannot be solved independently to ensure the timely flow of orders.
• Responsible for completing all kinds of orders in and out of the warehouse and delivery work on time.
• Responsible for following up the progress of maintenance orders, sorting out and filing and handing over documents, and organizing inventory counting.
• Responsible for the daily work system optimization requirements, solve abnormal problems, optimize work efficiency.

Requirement

• GCE O Level and above
• Training will be provided for candidate without experience

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.

YEOW CHANG FU (R23118759)

EA Recruitment Pte Ltd

EA License No: 21C0492

Job ID: 19440

• Location: Havelock
• Working hours: 8.30am - 5.30pm
• Salary: up to $3,000 (Depending on experiences)

Job Description

• Organize and Process Financial Transactions: keying data, sorting documents
• Record-Keeping: Up-to-date journal entries to ensure accurate financial data to track existing assets and liabilities. Handle records for inventory, payments, and expenses.
• Reconciliation: Conduct reconciliations to ensure line items add up properly.
• Assist in preparing and maintaining Report: reconcile transaction, budget, and expense reports for monthly reporting
• Contributing to Financial Statement Preparation: Assist accountants by compiling data and checking it against internal records.
• Quality Control and Accuracy Checks: Review organizational financial data to ensure it is both accurate and up to date and report them to senior staff members.
• HR Management: Assist in checking and processing of Payrolls.
• Assist with Clerical and Administrative Tasks: Other ad-hoc, office-related duties. These tasks include answering phones, organizing mail, and ordering office supplies.
• Assist and support for Accounting/Admin/HR Managements

Job Requirement

• Minimum 'O' Level qualification or equivalent
• Candidates with basic accounting knowledge
• Familiarity with accounting principles
• 1–2 years of experience in the accounting field preferred
• Prior accounting experience is an advantage
• Strong organizational skills, with the ability to multitask and prioritize effectively
• Good communication and interpersonal skill
• Ability to work independently

Interested applicants, kindly send your updated resume to Joanne (R21101135) [email protected] with the email subject header "Job Application for "19440, Accounting Clerk (Contract)".

Only shortlisted candidates will be notified, other applications will be updated to our database for future job opportunities.

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

Please find Privacy Policy Agreement from the below link.

http://www.pasona.com.sg/privacy.html

Pasona Singapore Pte Ltd

Joanne Yeo Min Qian
EA License No:90C4069

Registration No.: R21101135

SAS Institute Pte. Ltd.

Data Analyst – SAS Data Science AIML Program supported by IMDA Company-Led Training Programme

Roles & Responsibilities

Interested to pursue a career in Analytics?

Digital transformation is happening everywhere, impacting our lives daily. With fast-paced development and adoption in artificial intelligence and machine learning, careers for the future demand for talents with analytical minds. Individual are empowered to make tactical decisions and strategies, by building models that provide accurate, reliable and accessible metrics.

SAS is committed to nurture qualified, capable individuals, and deepening the skills amongst fresh graduates and young working professionals to be future ready. The SAS Data Science AIML Program is IMDA's Company-Led Training (CLT) initiative to recruit and train fresh professionals in Data Analytics, Artificial Intelligence and Machine Learning.

Data analyst role is a path to future roles such as Data Science, AI Developer, ML Engineer, etc. Build your caeer path here by building your skills today for tomorrow's future. Training skills are mapped to TeSA Skills Framework for ICT.

We are currently seeking candidates interested in building a career in Data Analytics.

Why SAS?

SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 80,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®.

This program first started as SAS Business Intelligence and Analytics (BIA) Program in year 2012. It is Singapore’s largest data science and analytics development program supported by IMDA – established over a decade – our curriculum is curated with modules that are constantly updated to meet the latest development and market trends. The program provides in-depth teaching which consists of structured training with assessments, certifications, supervision, and mentorship. As we enter its tenth year, it has since been rebranded as SAS Data Science Artificial Intelligence Machine Learning (AIML) Program to reflect advancement in our training content as well as a greater focus on AIML.

How is the program structured?

Your journey begins at SAS with 4 months of intensive training and assessments to build your knowledge and skills on SAS Programming, SQL, visual analytics, data preparation, machine learning, forecasting and the list goes on. During the course, you will also attain certifications that are globally accredited, where SAS digital badges posted on your social network profiles can be easily verified by anyone via Credly, our digital credentialing program partner. Finally, upon successful completion of your training, you will join one of our partners for a 6-month period, where you can apply what you have learnt and put your skillsets into solving real-world problems.

Skills You will Develop:

· Ability to apply and utilize analytical, statistical, and programming skills to collect, analyze, and interpret large datasets

· Ability to develop and apply custom data models and algorithms to apply to datasets

· Ability to use supervised and unsupervised machine learning techniques to increase and optimize business outcomes

· Ability to design, develop and implement fact-based and data-driven solutions to meet business challenges in the era of artificial intelligence

· Ability to create visualizations and presentations to deliver analytical findings and provide actionable insight

What we are looking for:

· Graduates who can join us from April 2025 OR working professionals who graduated less than 3 years from their degree.

• B.A. or B.S. degree with a quantitative focus in Computer Science, Information Systems, Math, Statistics, Economics, or equivalent training (we will also consider relevant training attained post-graduation such as Diploma in Data Science).
• Experience or proficient in querying and manipulating complex raw datasets for analysis using SQL, Python, or R, exposure to ETL.

· Strong analytical, problem-solving, and critical thinking skills.

· Excellent communication skills.

· Big ambitions to succeed within the IT industry.

· Ability to work autonomously and in a fast-paced environment.

What we offer you:

· Train and be paid on-the-job (monthly remuneration throughout the Program duration) for industry

recognized training and qualifications.

· Globally recognised SAS certifications awarded during the Program duration.

· Live interactive classes – Develop innovative problem-solving capabilities in modern techniques of

data science using a live online classroom through interactive lectures and labs with advanced

course materials provided.

· Access to virtual labs – using SAS high performance software access to develop codes/models

where learning can take place anytime and anywhere.

· Mentorship and access to resources during the program duration.

· Guaranteed OJT with established local enterprises/SAS partners for 6 months so you can gain

hands-on industry project experience and hone your skills.

· Join our network of program Alumni and SAS communities.

We have multiple start dates all year round, so why not make an application today?

Kindly be informed that only shortlisted candidates will be contacted.

About the client:

Our client is a leading technology start-up that focuses on leveraging data to drive innovation and enhances their enterprise solutions. Due to business needs, they are now looking for a talented Data Scientist to join their regional team. A key part of your role will see you helping customers to unlock insights from complex datasets and make inform strategic business decisions.

About the role:

As a pivotal player within the data scientist team, you will be responsible for analysing large volumes of data, developing predictive models, and deriving actionable insights that support business objectives. This role requires a strong analytical mindset, proficiency in statistical methods, and expertise in programming and data visualization.

Key Responsibilities:

- Collect, clean, and preprocess large datasets from various sources to prepare for analysis.

- Develop and implement statistical models and machine learning algorithms to solve business problems and improve decision-making.

- Conduct exploratory data analysis to identify patterns, trends, and relationships within the data.

- Collaborate with cross-functional teams, including engineering, product management, and marketing, to understand data needs and deliver insights that drive product enhancements.

- Create data visualizations and dashboards to effectively communicate findings and recommendations to stakeholders.

- Monitor model performance and refine algorithms based on feedback and changing business requirements.

- Stay updated on industry trends and best practices in data science, machine learning, and artificial intelligence.

- Document methodologies, processes, and findings to ensure transparency and reproducibility of analyses.

Qualifications:

- Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field; PhD is a plus.

- 3+ years of experience in a data science role, preferably within the technology sector.

- Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis.

- Experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).

- Strong knowledge of statistical analysis and modeling techniques.

- Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib) to present insights effectively.

- Excellent problem-solving skills and the ability to work independently and collaboratively in a team environment.

- Strong communication skills to convey complex technical concepts to non-technical stakeholders.

If you are passionate about data science and ready to take on exciting challenges in a dynamic tech environment that fosters a culture of innovation and continuous learning, we want to hear from you.

Job Description

• Industry/ Organization Type: Tuition Centre
• Position Title: Administrative Clerk / Customer Service Admin
• Working Location: North-East – Hougang (Walking distance to the company)
• Working Hours: 5 days, rotating shifts (10 AM-6 PM or 1 PM-9 PM based on class schedule); 5.5 days during probation
• Salary Package: Up to SGD 3500 + AWS
• Duration: Permanent

Key Responsibilities

• Assist walk-in customers, and manage inquiries received via phone and email.
• Ensure timely follow-up and resolution of all customer inquiries through effective communication and coordination.
• Handle the processing of class registrations, invoicing, and issuance of payment receipts.
• Maintain communication with existing customers through phone calls, text messages, and emails.
• Liaise with external vendors and suppliers to coordinate services.
• Carry out various administrative tasks to support daily operations.

APPLY NOW!!!

• Min. O level
• Min. 1 year of working experience, preferably have experience in tuition or enrichment centres
• Availability to work on weekends, excluding public holidays

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #71496 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Celine Tan | EA Reg No.: R1873694

Responsibilities:

• Collect, clean, and transform large datasets for analysis. This may involve working with programming languages such as, SQL, R/Python, JavaScript, etc. to create automated data processing flow. Codes should be clean and well-documented.
• Design, develop, and maintain dashboards and interactive visualisations for data exploration to help end-users make informed data-driven decisions. This includes using analytical tools such as Microsoft Excel, PowerBI, ZOHO and/or Tableau.
• Manage data quality assurance processes to ensure data accuracy and consistency.
• Develop and implement data governance policies and standard operating procedures (SOP) and conduct ad-hoc analysis to answer specific business questions and address challenges.
• Collaborate with stakeholders to define business requirements and translate them into analytical tasks and present analytical findings and recommendations to stakeholders.
• Stay up to date with emerging technologies and tools in the data analytics space and evaluate how they can be used to improve the company's analytics platform and services.

Requirements:

• Degree or Diploma in Computer Science with min 3 years of experience in related field
• Customer-first mentality with a high dose of empathy and passion for the Built Environment,familiarity with IoT (Internet-of-Things) devices and their data streams.
• Familiarity with version control systems (GIT and others), CI/CD practices, testing and migration tools for database and software and understanding of A1 Modelling.
• Experience working with APIs and SQL databases.
• Familar with tools such as PowerShell, Apache Spark, PySpark, etc.

We are seeking a skilled and motivated Data Engineer

With expertise in Scala, SQL, and Hadoop, to join our dynamic team. In this role, you will design, develop, and maintain scalable data pipelines and systems to process large datasets. You will collaborate with cross-functional teams to deliver high-quality solutions for data storage, transformation, and analytics.

Key Responsibilities

1. Data Pipeline Development

• Design, build, and optimize scalable data pipelines using Scala and Hadoop frameworks.
• Implement ETL processes for ingesting, transforming, and storing data from various sources.

2. Data Analysis and Query Optimization

• Write and optimize complex SQL queries for efficient data retrieval and transformation.
• Troubleshoot and resolve performance issues in queries and data workflows.

3. Big Data Ecosystem Management

• Manage Hadoop-based data infrastructure, including HDFS, Hive, and related components.
• Monitor system performance and optimize resource utilization in a distributed environment.

4. Collaboration and Problem-Solving

• Work closely with data analysts, data scientists, and business stakeholders to understand requirements and translate them into technical solutions.
• Provide technical guidance and best practices for data engineering within the team.

5. Automation and Monitoring

• Develop scripts and tools to automate repetitive tasks and enhance system monitoring.
• Ensure data quality and consistency through validation and monitoring mechanisms.

6. Documentation and Compliance

• Document technical solutions, workflows, and processes to ensure knowledge sharing and reproducibility.
• Ensure compliance with data governance and security policies.

Requirement/Skillsets:

Technical Skills:

• Proficiency in Scala programming and functional programming principles.
• Strong SQL skills, including query optimization and database design.
• Hands-on experience with Hadoop ecosystem tools (HDFS, Hive, YARN, MapReduce).
• Familiarity with other big data tools like Spark, Kafka, or Flink is a plus.

Problem-Solving:

• Strong analytical skills with the ability to troubleshoot and resolve complex data issues.

Communication:

• Excellent communication skills to effectively collaborate with technical and non-technical stakeholders.

Experience:

• 6+ years of experience in data engineering, big data technologies, or a similar role

EA License: R1873481

Company EA License: 11C4879

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

We are looking for a highly motivated Research Assistant to join Associate Professor Xia Kelin's team at the School of Physical and Mathematical Sciences. The project focuses on integrating high-dimensional topological structures with advanced simplicial neural networks, and applying these methods to real-world data from dynamical systems.

Key Responsibilities:

• Contribute to the development and implementation of topological data analysis techniques such as simplicial neural networks, with application in real data sets from dynamical systems
• Perform data preprocessing, feature extraction, and analysis on large datasets
• Preparation of research papers, reports, and presentations to disseminate findings
• Participate in regular team meetings and contribute to the overall progress of the project

Job Requirements:

• A Bachelor’s degree in applied mathematics or related areas, with a strong background in topological data analysis (TDA) and machine learning on biomolecular data
• Experience with biomolecular data, particularly protein, DNA, and RNA data, knowledge of structural biology and protein modeling preferred
• Proficiency in programming languages such as Python, R, or similar
• Excellent analytical and problem-solving skills
• Ability to work both independently and collaboratively in a team
• Previous research experience and publication record in a related field preferred

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

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

Zenith Infotech (S) is a TEch Recruitment firm with 28 years of presence in Singapore, is lookingo out for experiencecd Data Engineer with main ke.y skill in Informatica IDMC.

Candidates whom are open for 6 months contract role are welcome to explreo this opportuity.

Jobs Scope:

Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS along with Databricks' Delta Lake.

• Integrate Informatica IDMC for metadata management and data cataloging.

• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.

• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.

• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.

• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.

• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

REQUIREMENTS

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.

• Minimum 5-7 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

• Hands on data migration(e.g. code migration from Information Power Center on premises to cloud version, data migration from Teradata/Oracle/PostgreSQL to Databricks)

• Proficiency in programming languages such as Python or Java for building data pipelines.

• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with data modeling and schema design.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• AWS certifications (e.g., AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus

Responsibilities:

• Conduct thorough data analysis and implement data-driven solutions to support customer issue troubleshooting, utilizing statistical modelling and machine learning techniques to identify root causes and provide actionable insights for resolution
• Partner with field engineering teams to analyse data from plasma etching systems and provide timely, meaningful and accurate analysis results to support data-driven improvement
• Communicate effectively with both customers and internal teams, present complex data analysis findings or results to stakeholders in a concise, effective and understandable manner
• Develop advance statistical and machine learning algorithms to extract insights from large and complex data sets, and work with internal engineering team to evaluate the effectiveness of the algorithms
• Collaborate with global data engineering teams to share best practices and work on cross-functional projects that require data science expertise
• Manage and maintain the internal analytics solutions, supporting continuous development and implementation, and ensuring that data integrity and accuracy are always maintained
• Develop and conduct training sessions for local engineers on data analytics skills such as JMP and KNIME
• Other duties as assigned

Requirements:

• Bachelor’s or Master’s degree in Microelectronics, Data Science, or a related discipline.
• At least 3 years of experience in the semiconductor industry, including manufacturing equipment, fabrication facilities, semiconductor components, or related fields.
• Demonstrated experience as a Data Scientist within the semiconductor industry, with specific expertise in plasma dry etch processes.
• Expertise in developing and deploying algorithms for process optimization and problem-solving.
• Strong understanding of data analytics, statistical methodologies, machine learning techniques, and predictive modeling.
• Proficient in data science tools and programming languages (e.g., Python, JSL, R) for data processing, visualization, and analysis.
• Strong communication skills, with the ability to collaborate effectively in a team setting and build positive relationships with customers.
• Detail-oriented, organized, and resourceful team player.
• Self-motivated and capable of working independently with minimal supervision.

To apply, please visit www.gmprecruit.com and search for Job Reference: QYXW4Y4V

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

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

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

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

Responsibilities

● Support the business’s goal of democratization of data and data products.

● Drive audience and behavioral analytics, as well as key business metrics with associated dashboard and reporting.

● Collaborate in partnership with diverse teams such as product engineering, data science and business stakeholder teams to successfully deliver business outcomes.

● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads.

● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and publications to deliver innovative and game changing data products and use cases.

● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases.

● Implement cloud-based scalable and reliable data pipelines at significant scale.

● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes

Skills/Requirement

At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles.

● Experience in data-related infrastructure deployments using Terraform Cloud.

● Experience in using Git for version and release management with knowledge in branching strategies.

● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight.

● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight.

● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts.

We are looking for Data Analyst/Engineer to join a fast growing IT company!

• Exciting opportunity to work with a team of professional to deliver high quality applications
• Permanent position, positive working environment
• Salary up to $7,000 + AWS + bonus

Responsibilities:

• Develop, construct, test and maintain data architectures such as databases, data warehouses and large-scale data processing systems
• Design and develop data pipelines/systems for data modelling, mining and production
• Ensure the data architecture is in place to support routine and ad-hoc requirements of data analytics team, stakeholders and the business
• Leverage on variety of programming languages and data crawling/processing tools to make raw data clean and highly available for use in descriptive and predictive modelling
• Recommend and implement ways to improve data quality, reliability, flexibility and efficiency
• Ensure data assets and data catalogs are organized and stored in an efficient way so that information is easy to access and retrieve
• PL/SQL and SQL Tuning and optimization of newly develop and existing applications

Requirements:

• At least 3 years' working experience in data architecture, data warehousing, data processing, data modelling and ETL/ELT, familiarity with real-time streaming solutions.
• Working experience in Kubernetes-based DevOps practices such as container orchestration, CI/CD pipelines, and microservices deployment.
• Working experience in database development (Oracle SQL/PLSQL) and familiar with AWS cloud environment

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

This authorizes us to:
Contact you about potential opportunities.
Delete personal data not required at this application stage.
To withdraw consent, email [email protected].
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Liew Chien Hui (Vivian) - R2090138
ScienTec Consulting Pte Ltd – 11C5781

About the Role

We are seeking a skilled and experienced Data Engineer to join our team. The Data Engineer will be responsible for requirement gathering, strategizing, planning, implementing, maintaining, monitoring, and reporting on various aspects of our Data Engineering and Architecture Platforms. This role involves working closely with cross-functional teams to ensure the efficient and secure handling of data.

Responsibilities

Data Domain Management

• Interpret business workflows and data requirements.
• Conduct data exploration and create entity relationship diagrams.
• Develop data models and manage ETL processes.
• Create and service data pipelines.

Data Platform Operations

• Set up, install, and manage access controls.
• Monitor and maintain data pipelines to ensure quality data outputs.
• Validate data fusion processes for safe use.
• Data Platform Upgrade and Migration:
• Design, develop, and implement robust processes and automation.
• Conduct testing (unit testing, SIT, UAT) and implementation.
• Ensure secure and efficient data fusion, exploitation, and sharing.

Documentation and Administration

• Maintain data dictionaries and workflow processes.
• Report for Data Incident Concierge (DIC) and other documentation.
• Handle paperwork for data administration, including asset management and procurement of tools.

Collaboration and Continuous Improvement

• Collaborate with partners and cross-teams to benchmark best practices.
• Drive continuous improvement in data interpretability and searchability.
• Develop and maintain tools such as Microsoft Purview.

Requirements

• Minimum 4 years of hands-on experience in data engineering, systems implementation, or equivalent roles.
• Experience in data integration, analytics, system integration, and working on data pipelines.
• Knowledge of information management practices, including data lifecycle management, data modeling, and master data management.
• Experience in gathering requirements for data warehouses or similar systems.
• Familiarity with Change Management, Risk Management, and Incident Management.
• Experience supporting relevant Government Projects and understanding Government Data Governance Standards and Regulations (e.g., IM8, PSGA).
• Experience in public health or epidemiology is advantageous.

Technical Skillset

• Proficient in PySpark, SQL, and/or Python.
• Experience with large datasets.
• Proficiency in Microsoft Azure and Power BI is advantageous.
• Agile or other Project Management Methodology certification is a plus.

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make an impact happen with a career at TikTok.

The strategy team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and user engagement, which includes:

1. Build prediction/uplift NN model to improve LIVE feature intelligence;

2. Mine and interfere with potential crowds to gain a higher ROI operation for both LIVE streamer and watcher;

3. Make detailed analysis on user data and system data to find out user experience optimization zoom;

4. Other work like user growth strategy, cold-start strategy, etc.

Requirements:

1. Responsible for data science work related to the product and operation strategy of TikTok LIVE.

2. Analyse business data in different markets, formulate targeted strategies, and evaluate strategic benefits.

3. Build insights into different strategy scenarios, use data skills to deepen scenario understanding and promote decision quality.

Qualifications

1. Mathematics, statistics, computer science related majors, have experience of internet business.

2. Excellent thinking framework and scenaios understanding ability, good at using data analysis and other means to solve business problems.

3. Experience of casual inference, evaluation framework, data mining is preferred.

4. Understanding the principle of machine learning and recommendation algorithms is preferred.

Preferred Qualification

Minimum 3 years relevant work experience from a large-scale internet business

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job Highlights

Salary: $3450 per month

Contract Duration: 11 months

Working Location: Nearest to Labrador Park MRT

Working Hours: Monday to Friday, normal office hours

Job Descriptions

• Support the ongoing refreshments and improvements of training centres.
• Conduct regular checks of community hubs’ setup such as reporting on safety compliance, standardized set up, etc.
• Assist in coordinating hardware maintenance services for community hubs as required.
• Source goods and facilities management (FM) services for community hubs, such as furniture, maintenance services, etc.
• Coordinate and liaise with contractors to ensure timely delivery of goods and FM services
• Conduct regular checks on assets and collaterals, ensuring accuracy of records and proper maintenance.
• Maintain and update procurement, asset and collaterals records
• Maintain and update FM and logistics documentation

Job Requirements

• Only Singaporean need to apply.
• Degree in any relevant field
• Prior experience in Project Management is a plus!

Interested candidate please click ‘Apply Now’. We regret to inform that only shortlisted candidates will be contacted.

Yee Kar Seng

Outsourcing Team

BGC Group Pte. Ltd.

EA Registration No.: R22107286

EA License Number: 05C3053

Permanent, 5days, Paya Lebar

Our client

MNC in air conditioning ventilation system solution serving high tech industry

Job Scope:

• Plan and manage HVAC projects for data centers.
• Lead project meetings and collaborate with clients, consultants, subcontractors, and internal teams.
• Review project specs, drawings, and contracts for compliance.
• Monitor site progress and address any technical or operational issues.
• Prepare schedules, reports, and project documentation.
• Oversee procurement of materials and equipment.
• Ensure workplace safety, quality, and regulatory compliance.
• Conduct site inspections and guide the project team.

Requirements:

• Degree in Mechanical Engineering or a related field.
• Minimum 5 years of experience in ACMV/HVAC or related M&E projects.
• Familiarity with HVAC systems for data centers.
• Strong project management skills.

Work location :Paya Labar

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

For better response, pls apply via job page

https://recruitmentalliance.zohorecruit.com/jobs/Careers

click job opening, click relevant position

We regret that only shortlisted candidates will be notified