[1 year contract, renewable]

As a Data Scientist within the VICA team, you'll play a pivotal role in shaping the future of citizen engagement through data-driven insights. You'll be responsible for analyzing user interactions, optimizing chatbot performance, and developing advanced functionalities to enhance user experience.

About VICA

VICA (Virtual Intelligent Chat Assistant) is a government-developed platform powering chatbots across various Singaporean agencies. It leverages Natural Language Processing (NLP) and machine learning to provide citizens with convenient access to information and services.

Responsibilities:

· Develop and refine machine learning models to improve chatbot performance in tasks such as intent classification, dialogue management, and sentiment analysis.

· Experiment with different models and algorithms to achieve optimal results.

· Collaborate with engineers to integrate models into the VICA platform.

· Conduct in-depth analysis of VICA interaction data to identify patterns, trends, and areas for improvement.

· Utilize statistical techniques and visualization tools to communicate findings effectively.

· Develop key performance indicators (KPIs) to measure chatbot effectiveness and track progress.

· Apply NLP techniques to understand user queries, extract relevant information, and generate appropriate responses.

· Explore cutting-edge NLP methods to enhance chatbot capabilities.

· Stay up-to-date with the latest advancements in machine learning, NLP, and chatbot technologies.

· Propose and implement innovative solutions to address chatbot challenges and improve user experience.

· Work closely with engineers, product managers, and other stakeholders to ensure that data-driven insights are effectively integrated into the VICA platform

Qualifications:

· Min. Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).

· Minimum 1 year of experience in data science with a focus on NLP.

· Proven experience in data analysis and machine learning with tools including but not limited to: Python and libraries like scikit-learn, TensorFlow, or PyTorch.

· Strong understanding of Natural Language Processing (NLP) concepts and techniques.

· Experience working with real-world, large-scale datasets.

· Excellent communication and collaboration skills.

· Ability to work independently and manage multiple projects simultaneously.

· Passion for innovation and a strong desire to contribute to Singapore's Smart Nation vision.

• Support the division in implementing Digital Transformation projects to enhance service quality and reduce costs.
• Analyze and assess operational needs and user requirements across various Business Units and departments.
• Collaborate with stakeholders to define data needs and gather relevant information.
• Oversee project planning, ensure appropriate IT solution implementation, and align solutions with operational goals.
• Conduct statistical analysis, data mining, and pattern recognition to identify trends, correlations, and actionable insights, accompanied by clear visual presentations.
• Lead project development initiatives to boost operational productivity and efficiency through the adoption of digital transformation tools.
• Coordinate and manage projects with the team, ensuring timely delivery and alignment with company strategies.
• Provide well-organized data for advanced analysis and perform additional tasks as assigned.

Requirements:

• Bachelor's degree in Information Technology, Computer Science, or a related discipline.
• Proven experience in IT, development, or related fields.
• Strong knowledge of digital transformation and automation tools, including Microsoft Power Platform, SharePoint, Power BI, MS SQL, Knime, Python, and cloud platforms.
• Excellent communication and interpersonal skills; meticulous, well-organized, and a resourceful team player.
• Highly self-motivated individual who can work independently with minimal supervision.

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.

Responsibilities

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Requirements

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

Interested applicants, please Email , and look for [email protected]

John (Joax) Wong

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R23117179

We regret that only shortlisted candidates will be contacted.

• 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.

Job Description:

At least 2 years of hands-on experience in data center infrastructure, network hardware, and communications systems implementation and maintenance.

Knowledge of data center environments, including PDUs, RPPs, SANs, and network infrastructures.

Understanding of complex inter-networked environments, such as Ethernet, TwinAx (100GigE, 25GigE, 10Gig, 100M etc) token ring, and WAN technologies (OC-x, DS-x).

Familiarity with TCP/IP protocols, subnetting, and WAN technologies.

Strong analytical and troubleshooting skills to identify and resolve system and network-related issues.

Excellent written and verbal communication skills to interact with vendors, team members, and stakeholders.

Experience in managing or coordinating technical infrastructure projects is an advantage.

While not required, familiarity with the Financial Services industry is a plus.

Roles and Responsibilities:

Hardware & Network Installations: Perform installation, de-installation, relocation, and testing of network hardware (routers, switches, firewalls, encryptors) and systems within the data center. Ensure that all installations meet the required service-level standards.

Carrier Circuit Management: Install, relocate, and test carrier circuits to ensure network connectivity across various hardware.

Cabling & Infrastructure Management: Manage the installation, relocation, and testing of patch cabling for systems and network hardware, maintaining organized and effective cabling practices.

Vendor Coordination: Collaborate with facilities, electrical, and communications vendors to facilitate the installation of infrastructure elements such as power circuits, cabinets, and network components.

Network & SAN Infrastructure Support: Assist in coordinating the installation and management of network configurations and SAN cabling, ensuring that performance and reliability standards are met.

Consumables Management: Oversee the management of critical consumables (cables, labels, rail kits, etc.) to ensure efficient day-to-day operations.

Work-Life Balance: This role will be 12Hour Rotating shift from Thursday to Sunday. 3days off to rest/ recharge.

Career Development: Gain invaluable experience in managing enterprise-level data center operations and network infrastructure.

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

Responsibilities:

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

Requirements:

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

Preferred Qualifications:

• Familiarity with cloud-based deployment platforms such as AWS, Azure or related and their data pipeline development.
• Experience working in the healthcare or pharmaceutical industry, particularly in clinical trials or digital health devices.
• Proven experience in taking algorithms from research to production, including considerations for scalability, performance, and ease of integration.
• Understanding of clinical trial workflows and regulatory requirements related to digital health.

• 1-month role

• Well Established Company

• Working hour: 8.15am – 5.45pm (Monday - Friday)

• Company located at Tuas

• Company transport provided: Boon Lay, Bukit Batok, Choa Chu Kang

Job Scope

• Accurately enter data into company systems and databases
• Review and verify data for errors or inconsistencies
• Organize and maintain electronic files and records
• Assist with data cleansing and other data-related tasks as needed
• Collaborate with team members to ensure timely project completion
• Perform other administrative duties as assigned

Requirement

• GCE O Level & above
• 1 - 2 years of relevant working experience in similar position

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.

SIM BEI NA (R22111637)

EA Recruitment Pte Ltd

EA License No: 21C0492

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 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 | Angel Lim | EA Reg No.: R1769781

Job Descriptions:

1. Complete in-depth special data analysis and insight based on business requirements, establish service growth models, data dashboards, analysis models, and indicator systems based on scenarios, and check and attribute abnormal data changes.

2. Disassemble and define complex problems, and propose effective strategies or solutions based on data mining and statistical modeling. Analyzes and models massive user behavior data, such as feature processing, labeling, modeling, effect evaluation, and model optimization.

3. Based on the in-depth understanding of user groups, media advertising slots, advertisers, platforms, and ecosystems, define scientific index systems and exploratory data analysis to accurately reflect the current business situation and quickly identify potential improvement opportunities in each business and technical direction.

4. Work closely with collaborative teams to design and implement scientific and reasonable AB experiments or observational research, guide scientific decision-making and iterative closed-loop, and promote the implementation and continuous optimization of data analysis conclusions.

5. Be responsible for big data governance, data access, data asset, and data quality maintenance, and maintenance of bottom-layer platforms and upper-layer data applications. Be able to handle routine maintenance, fault locating, and troubleshooting of various big data-related systems and data products. Ensure the normal and stable running of the system and services.

Job Requirements:

• Master's degree or above in computer/statistics/mathematics/operations research (doctoral degree is preferred), more than 3 years of relevant experience in user growth/user product analysis/business analysis is preferred.

• Have theoretical knowledge foundation and practical experience in statistical analysis, machine learning, and data mining, including probability statistics, data mining, and machine learning algorithms (classification, clustering, and time sequence).

• Have a basic command of Linux and network basics. Have a good command of the distributed parallel computing framework, including Hadoop, Hive, Spark, streaming computing, and real-time computing technologies.

• Have a good command of basic SQL syntax and be familiar with database programming languages such as HiveSql, SparkSql, Oracle, MySQL, and postgresql. Rich experience in data analysis, mining, cleaning and modeling;

• Excellent ability to write business analysis reports, and keen to find and analyze hidden problems in a timely manner. Good at communication, willing to cooperate, keen on new technologies, good at summing up and sharing, like hands-on practice.

Interested candidate who wish to apply for this position, please click on APPLY NOW

EA License No.: 01C4394 | PERSOLKELLY Singapore Pte Ltd

EA Registration No.: R23117518 | Heah Sian Wei

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services, complying with Government’s COVID-19 health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries

Thakral One is a technology consulting and services company headquartered in Singapore, with a pan-Asian presence. We focus primarily around technology-driven consulting, adoption of value-added bespoke solutions, enabling enhanced decision support through data analytics, and embracing possibilities in the cloud. We are heavily inclined towards building capabilities collaboratively with clients and believe strongly in improving grounded and practical outcomes. This approach is possible through our partnership with leading global technology providers and internal R&D teams. Our clients come from Financial Services, Banking, Telco, Government, Healthcare, and Consumer-oriented organisations.

The Role:

We are currently on the look-out for a Senior Business Data Analyst for a project with one of our multinational banking clients. You will have experience in working in complex banking programs responding to existing and new data requirements to assess and track application and user migration status.

The Requirement:

• Minimum 8 years experience as a Business Analyst in a banking environment
• Data management and reporting experience
• Experience working in complex technology transformation programs in banks
• Eliciting and responding to existing and new requirements
• Technologies: Jira, Confluence, Excel, Tableau, Alteryx and Powerpoint

We are seeking a proactive and skilled Data and Technology Specialist to join our People Technology team, which sits in the wider People team. This role is based in Singapore and focuses on supporting and optimizing our people (HR) systems, primarily Workday. The ideal candidate will ensure smooth operation of integrations, reporting, and security frameworks while also building new integrations as business needs evolve.

Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world’s first platform to offer true multi-currency banking. We’re 6000+ Wisers strong, with over 70 nationalities working in 25+ locations around the globe! 
This is a unique opportunity to join Europe’s most valuable fintech company at a pivotal time in evolving our global People technology, automation and data capability. Keeping a customer first mindset, you’ll be working closely with our People Technology Lead (Senior System Architect) in building, designing, delivering and maintaining Workday and all other People Systems across Wise.

Key Responsibilities:

Integrations Management:

• Monitor, maintain, and troubleshoot existing integrations across the HR system landscape.

• Design, develop, and deploy new integrations as required, leveraging Workday Extend or other relevant tools.

• Collaborate with internal and external stakeholders to ensure integrations meet business requirements and are scalable.

Reporting and Analytics:

• Develop and maintain robust reports and dashboards to support HR and business operations.

• Ensure data accuracy and alignment across systems for meaningful insights and decision-making.

Security and Compliance:

• Manage user access and role-based permissions within Workday and related systems.

• Ensure compliance with organizational policies, data governance, and industry regulations.

• Conduct regular audits to identify and address security vulnerabilities.

Collaboration and Support:

• Work closely with HR, IT, and external vendors to resolve system issues and implement enhancements.

• Provide training and support to HR and other stakeholders on system functionalities.

• Stay updated on Workday releases and best practices to leverage new features effectively.

We are seeking talents who are motivated and analytical to join our team as a Data Analyst Intern. We are working on an enterprise level ML model for one of the largest operator groups in the Singapore healthcare industry. This internship provides practical experience in data analysis, machine learning, algorithms in a nascent healthcare application.

Primary Responsibility

• Carry out machine learning projects in data training and inference.

• Collate and manage project results for follow-on projects development.

• Review ML and algorithmic models from technical journals. Provide pros/cons analysis to shortlist for feasibility testing.

• Perform data analytics on datasets for preparation and data insights for ML tuning.

Requirement

• Currently pursuing a bachelor's or post-graduate degree in a relevant field, such as Data Science, Physics, Statistics, Mathematics, or Computer Science.

• Strong analytical and problem-solving skills.

• Competent in Python data analysis, ML tools etc.

• Familiar with various ML framework and algorithmic programming methods would be advantages.

Benefits

• Work in a dynamic pace and product rich environment.

• Able to work with and experience best-of-breed software design and implement experts.

• Abundance of deep-tech learning experience.

• Actual Renumeration depends on experience.

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 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 | Angel Lim | EA Reg No.: R1769781

We are seeking a dynamic Junior Data Engineer to join our Regional Data team to help foodpanda make smart, data-driven business decisions. We maintain data ingestion pipelines while creating and maintaining products and frameworks to empower teams to craft insights and build quality data products.

Responsibilities

• Architecting, defining, and building data pipelines to enable faster, better, data-informed decision-making.
• Ingesting first and third-party data sources into our petabyte-sized data warehouse.
• Curating and maintaining high-quality data assets so our data scientists and analysts can make informed decisions and create better products.
• Creating and maintaining tools that enable data consumers to use our data better.
• Collaborating with cross-functional teams to deliver high-quality data assets.