Castlery is looking for a Senior Data Scientist to join team!

As the Senior Data Scientist, you will be part of our Data Science team, working alongside Data Analysts to provide impact to the organization through several key projects that will directly improve ROI efficiency, productivity and customer experience, which impacts conversions and revenue.

What you'll be doing:

• Build end-to-end data science products for all departments, including Marketing, Customer Experience, Supply Chain, Category Management.
• Collaborate closely with cross-functional teams to answer key business questions and enhance day-to-day business decision-making by leveraging the most suitable models and data technologies.
• Design rigorous experiments, conduct in-depth data analyses, and validate models to ensure the accuracy and reliability of predictions and recommendations.
• Stay abreast of the latest developments in machine learning, deep learning, optimization, and large language models, and apply learnings incrementally to drive innovation within the company.
• Communicate complex data science concepts and analytical results clearly and effectively to stakeholders at all levels and provide mentorship to data practitioners across the organization.

What you'll need:

• Bachelor’s or advanced degree in Mathematics, Statistics, Computer Science/ Engineering, Data Science, or a related field, with a strong record of academic achievement.
• Proficiency in programming with Python or R, with practical experience in statistical analysis, machine and deep learning modeling, and model deployment.
• Deep understanding of various machine learning and deep learning techniques, including classification, regression, unsupervised learning, and reinforcement learning, and their appropriate applications.
• Hands-on experience with large language models, optimization methods, and their applications is a strong plus.
• Expertise in one or more of the following areas: recommendation systems, advertising and marketing technologies (data management platforms and demand-side platforms), promotion optimization, demand and inventory forecasting, supply chain optimization, and generative AI.
• Entrepreneurial spirit to develop innovative solutions from scratch.
• Ability to deliver complex ideas effectively, both verbally and in writing, in English.

Title: Sales Director

Hybrid

Perm

Key Responsibilities

• Monitor market trends and competitor activities to develop and implement effective sales strategies, driving the growth of data center and telecommunication services in the international market to achieve sales targets.
• Expand new markets and establish strong client relationships within the telecommunications and data center industries.
• Understand client needs, showcase service capabilities, and deliver tailored integrated solutions to create benchmark projects that enhance market reputation and client satisfaction.
• Strengthen internal collaboration to improve project delivery and ensure smooth execution.

Requirements

• Bachelor’s degree or higher, with at least 10 years of experience in Energy/Power solutions for data centres.
• Over five years of international sales experience in the data center or power communication industry.
• Good network within the industry.
• Strong communication, negotiation, and sales skills, with the ability to independently achieve sales goals.
• Excellent team collaboration skills and the ability to work effectively across departments.
• Strong market analysis and business development capabilities, with a keen sense of market trends.
• Proficiency in English and Mandarin, familiarity with technical terminology for the power and telecommunications industries. Additional knowledge of Southeast Asian languages is a plus.

(EA:20C0196)

R22108971

Job Description

• Collaborate with stakeholders (customers, partners, colleagues) on data-related technical issues and infrastructure needs.
• Work with data scientists to gather data requirements for modeling.
• Design, develop, document, manage, and maintain data models, ETL processes, data warehouses, data management, and pipeline solutions for large volumes of structured/unstructured data from various sources with different latencies (on-demand, batch, real-time, near-real-time).
• Define, monitor, and report SLAs for data pipelines and products.
• Ensure data security and governance standards are met.
• Execute data quality assurance practices.
• Support data management solutions pre-sales initiatives, proposal development, and provide post-sales support.

Technical Knowledge/Skills/Competencies

• Expertise in relational/non-relational/NoSQL databases and enterprise data warehouses/marts.
• Proficiency in big data technologies (e.g., Hadoop, Spark, Hive, HBase).
• Knowledge of data ingestion technologies (e.g., Flume, Kafka, NiFi).
• Experience in scripting, programming, and software development (e.g., Java, C/C++, Python, R, MATLAB, Scala, SQL) for Windows or Linux.
• Experience in master data management, data governance, and data lifecycle management.
• Skilled in designing, documenting, implementing, and supporting data management solutions.
• Familiarity with software engineering best practices (development, programming, testing, version control).
• Knowledge of data privacy and security assurance.
• Understanding of machine learning, computer vision, and large language models is a plus.

Soft Skills

• Excellent written and verbal communication skills.
• Highly organized, motivated, independent, and resourceful team player.
• Strong analytical thinking, interpersonal, and problem-solving skills.
• Ability to work productively in a matrix reporting and fast-paced environment.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Key Highlights

• Great exposure to the government sector
• Nearest MRT: Labrador Park
• Working Hours: Mon- Fri (office hours)
• Salary:  Up to $3,450 per month
• Contract Duration: 11 months

Key Responsibilities

Data Analytics

• Process raw data using basic Excel formulas and pivot tables.
• Organize and present data visually for analysis.

Tableau Dashboard Management

• Update and refresh existing Tableau dashboards.

Data Projects Support

• Prepare survey forms and consolidate survey data from various sources.
• Clean and organize data for analysis.

Program Operations Support

• Coordinate with stakeholders to ensure timely updates.
• Maintain CRM accuracy and compile data for documentation.
• Organize distribution of materials and logistics for community hubs across Singapore.

Key Requirements

• Only Singaporean!
• Bachelor's degree in Data Analytics, Business Administration, Information Technology, or a related field
• Strong knowledge of basic and intermediate Excel functions (e.g., formulas, pivot tables) to handle data.
• Familiarity with Tableau dashboard development, updating features, and performing data refreshes.
• 1 year of experience in data analytics, program coordination, or a related field is preferred.

Interested candidates please click "Apply Now". We regret to inform you that only shortlisted candidates will be contacted for further discussion.

Venice Kang
Outsourcing Team

BGC Group Pte Ltd

Registration No.: R23117645
EA License Number: 05C3053

WHO WE ARE:

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

YOUR ROLE:

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other PALO IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

YOUR RESPONSIBILITIES:

• Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.
• Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.
• Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.
• Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.
• Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.
• Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.
• Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.
• Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.
• Support the definition and optimization of underlying data infrastructure

WHO YOU ARE:

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
• Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
• Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
• Experience with batch & ETL jobs to ingest and process data from multiple data sources
• Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
• Experience with querying tools (e.g Hive, Spark SQL, Impala)
• Experience with Power BI
• Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
• Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)
• High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)
• You are passionate about technology and continuous learning comes naturally to you

We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa.

MORE ABOUT PALO IT:

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company
• Attain 50% of revenue from projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all our offices across the globe
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training

For more on our team culture and benefits, check out our careers page.

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.

Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

about the company:
Our client is a prominent service provider known for delivering innovative and customized insurance solutions designed to cater to the varied needs of individuals and businesses.

about the job:

• Design and implement scalable data pipelines and ETL processes for extracting, transforming, and loading data from various sources.
• Optimize and monitor data workflows to ensure data quality, reliability, and performance.
• Provide clean and comprehensible data to end-users that can be efficiently used to create KPIs or for analysis purposes
• Automate data and reporting to support data analysis, data science, and the business.
• Collaborate with cross-functional teams to gather requirements and understand data needs for business intelligence and reporting.

skills and experience required:

• Bachelor’s Degree in Engineering, Computer Science or related field.
• 3 – 5 Years of working experience, with at least 3 year of experience in data engineer. Cloud Technology, Microsoft SQL Server and Data warehouse
• Strong Cloud Technology.
• Strong SSIS, SSAS, SSRS, Python
• Strong knowledge in SQL

To apply online please use the apply function, alternatively you may contact Dalpreet Kaur at [email protected] (EA: 94C3609 /R23111951)

Job Description:

As the Expert of his/her scope of activity, he/she:

• is actively involved in incident management (fault investigation, resolution escalations of all monitoring alerts and user initiated problem calls/tickets) and request management
• Is the final technical approver for any changes into Data Security systems and is accountable for any technical changes in the environment from a RUN/BAU perspective
• Is involved in projects like End of Life, New Builds, migrations and technical upgrades of the solution managed by the team
• Participates in global Infra events (like Power down and DR Tests)
• ensures activity is performed in compliance with norms, standards, processes and procedures
• gathering required evidence using multiple forensic tools to investigate any data leak incident, conducting interrogation if required, case closure and reporting
• ensures documentation is up to date and relevant for use
• lead the continuous improvement initiatives
• responsible to drive and deliver root cause for any high severity issues
• Focus on automation and optimum use of the team to improve efficiency
• Maintain appropriate knowledge to ensure to be fully qualified to undertake the role.
• Complete all mandatory training as required to attain and maintain competence

Qualifications:

• Hands-on experience on Symantec Data Loss Prevention (DLP);
• Highly proficient overall security solutions like, Endpoint Protection, Email Security and Vulnerability Management;
• Deployment, integration and administration experience of various components of Symantec DLP:

- Symantec Endpoint Protect

- Symantec Web Prevent

- Symantec Email Prevent

- Symantec Enforce

• Good to have experience in defining, designing and configuring DLP Policies as per the business requirements;
• Deploy, upgrade and troubleshooting knowledge on Symantec DLP solution;
• Deploy, Upgrade and troubleshoot on DAM Solutions like IMPERVA or Guardium
• Expertise knowledge in Email Security Solutions
• Hands-on to Expertise knowledge in MS Defender for endpoint and or Cloud.
• Scripting knowledge (Phyton, Regular Expression, Powershell) is desirable;

Next Step

• Prepare your updated resume and expected package.
• Simply click on 'Apply here' or email to [email protected] to drop your resume
• All shortlisted candidates will be contacted.

Tamanna Bilandi

EA Licence No. 91C2918

Personnel Registration No. R2096241

Key Responsibilities:

• Collaborate with business stakeholders to gather, understand, and translate data requirements into actionable solutions.
• Implement scalable and reusable data processes to meet evolving business needs.
• Work closely with engineering teams and external data vendors to troubleshoot and resolve technical data-related issues.
• Provide timely support to end users, addressing data queries and issues.
• Develop and maintain comprehensive documentation for data management activities, including operating models, processes, and test results.
• Monitor the effectiveness of data initiatives and recommend continuous improvements.
• Stay updated on the latest industry trends and best practices in data management.

Mandatory Skills:

• A degree in Computer Science, Information Technology, or related fields.
• Proven experience in data management areas such as metadata, data quality, and data discovery.
• Strong understanding of financial data and data management best practices.
• Demonstrated knowledge of data security and technical challenges faced by large organizations.
• Extensive hands-on experience with SQL and relational databases such as Snowflake, Microsoft SQL Server, and Oracle.
• Familiarity with data management trends and practices in the financial industry.
• Excellent analytical, communication, problem-solving, and documentation skills.
• Ability to work both independently and collaboratively as part of a team.

Preferred Skills:

• Experience with Python programming.
• Certification in data management or data quality (e.g., DAMA, CDMP).

EA License: R1873481

Company EA License: 11C4879

• Design, develop, and implement methods, processes, and systems to consolidate and analyze unstructured, diverse data sources, providing actionable insights and solutions for management.
• Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from various sources.
• Collaborate with business experts to enrich data and uncover meaningful insights for building actionable solutions.
• Automate repetitive data tasks to streamline processes and reduce manual intervention.
• Create data visualizations to effectively communicate findings and recommendations to stakeholders.
• Stay updated on industry trends and advancements in data science, machine learning, and artificial intelligence.
• Support the Global IFF Business Control team with task and project handling requirements.
• Provide assistance with administrative matters and handle ad-hoc tasks assigned by the Head of Department as needed.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

This role will require him/her to support in the following tasks:

- Work closely as part of the agile product team to design, develop, test and deploy data analytics/scientist products (e.g. interactive dashboards, reports and machine learning models) under the guidance of the DSTA Product Manager.

- Conduct detailed requirements gathering and clarify requirements with the end users, when required, to formulate, translate and refine their business questions into technical and analytical requirements.

- Carry out data audits and technical feasibility assessments.

- Design and develop data analytics/scientist products with the necessary authorisation mechanisms and measures to meet business, user experience, performance and security requirements, using established processes and tools on the Authority’s Enterprise Data Analytics Platform.

- Work closely with relevant technical teams (e.g. Enterprise Data Analytics Platform team, Data Integration team, Database team etc.) during design, development, system integration, testing and deployment, implementing changes if required.

- Perform vulnerability assessments and code quality tests where applicable. Rectify any vulnerability or code quality issues surfaced.

- Conduct User Acceptance Tests based on acceptance criteria in Product Backlog, review feedbacks received and include them in the Product Backlog for prioritisation if applicable.

- Conduct end-user training, handover training and product demonstrations.

- Provide on-site support to troubleshoot any problems and address users’ queries relating to deployed data analytics/scientist products (interactive dashboards, reports and machine learning models).

- Develop and maintain documentations according to the Authority’s Quality Management System (QMS) guidelines (e.g. user guide, design specifications).

- Work with end-users to explore and analyse data for trends and insights relating to user business questions.

- Maintain existing dashboard for additional indicators/charts including raising Service Request (SR) for data extractions.

Qualifications:

Relevant educational credentials in a quantitative discipline (e.g. statistics, computer science, data science/analytics/engineer, or information systems)

NLCS (Singapore) believes that each employee makes a significant contribution to our success and that contributions should not be limited by the assigned responsibilities.

Therefore, this position description is designed to outline primary duties, qualifications, and job scope, but not limit the employee, nor NLCS (Singapore), to only the work identified. It is the expectation of the school, that each employee will offer his/her services wherever and whenever necessary to ensure the success of our organisation.

Our School is committed to safeguarding and promoting the welfare of children and young people. The School expects all teaching staff, non‐teaching staff and volunteers to share and uphold this commitment.

The ICT Administrator (Data & Print) will help drive a data culture forward within the school. Provide assistance and support by ensuring the efficient running of the school’s information and learning management systems.

Additionally, the administrator will support staff by ensuring seamless access to printing services and managing large printing requests from staff, guaranteeing timely and quality delivery of materials.

School Information System and Learning Management Systems

• Support the school’s information management system such as iSAMS and learning management systems like ManageBac, Firefly and other associated software/apps.

• Support MIS Manager in addressing issues related to school’s information management systems and LMS.

• Support the data collection, data management , data sharing, tracking and analysis processes.

• Support generating and distributing data reports as requested by MIS Manager or ICT Director.

• Provide support for all members of staff in the area of data management and associated applications.

• Assist identifying areas for improvement in data management, reporting, and analysis.

• Keep abreast of new technologies and research through contacts with technology companies, professional organizations, reading of publications, and attendance of professional conferences

• Contribute and Support develop SOPs and best practices on the usage of iSAMS and other LMS providing written protocols and guidance to relevant stakeholders.

Printing Services

• Managing a system through which staff submit requests for large-scale print jobs.

• Providing photocopying, scanning, printing, cutting, binding and laminating services to all staff, completing jobs in a timely and efficient manner.

• Liaising with the Operations team to ensure that appropriate stocks of paper, toner and staples are maintained and delivered to respective school printers or print room.

• Work closely with other ICT staff and external providers to ensure that all printers are serviced regularly and kept in good working order.

• Work closely with MIS Reporting and Data Manager to ensure that termly reports for parents are printed, packaged and delivered to the School Offices for distribution.

• Troubleshoot and repair basic faults in school printers.

• Create and maintain detailed reports on printing volume and usage trends.

• Analyze data to identify opportunities for process improvements and cost savings.

Safeguarding

• Abiding by the school safeguarding policy and keeping abreast of any changes.

Others

• ICT administrator (Data & Print) is expected to be available on-site during busiest periods of school holidays (July, August and 3rd week of December).

• Other ad-hoc duties assigned by MIS Manager or ICT Director.

Requirements

● Diploma or Degree in Information Systems or any other relevant industry.

● Minimum 3-5 years of relevant work experience in a similar position in an international school setting.

● Working knowledge and experience of student information systems, learning management systems and enrolment systems used in international schools.

● Proficient in Google and Microsoft Office Applications specially Excel or Google sheet.

● Interpersonal skills such as communication, collaboration, and being able to work with parents, teachers and staff.

● Detailed oriented, process driven and structured mindset to help users effectively with the system and deliverables required.

● Can work under pressure, strong organisation and prioritising skills to assist different stakeholders and provide support adequately based on deadlines.

● Takes initiative and strong problem solving, critical thinking, communication and project management skills.

To Apply:

Please email the following documents to [email protected] before the application closing deadline listed in our job posting.

• A completed NLCS application form (which can be found on https://nlcssingapore.sg/current-opportunities/)
• A Cover Letter, stating your suitability for the role
• A copy of your CV

Please note incomplete submissions will not be processed and only shortlisted candidates will be contacted for interviews.

We are assisting our client, an existing healthcare provider, in finding an experienced senior data analyst to join their team.

Responsibilities:

• Extract and transform data from various sources, ensuring data accuracy, consistency, and reliability. Cleanse data and identify/rectify coding errors. Develop and maintain data pipelines and data models for analyses.
• Analyse large datasets to identify trends, patterns, and anomalies, using statistical techniques and data visualization. Develop and maintain dashboards and reports to track Key Performance Indicators (KPIs). Generate regular and ad-hoc reports, collaborating with stakeholders to meet their reporting needs.
• Cleanse and interpret complex data to provide actionable business insights. Translate data findings into operational and strategic improvements, developing recommendations to streamline processes, improve efficiency, and contribute to overall success.
• Work with cross-functional teams, including business analysts, data engineers, and other stakeholders. Collaborate with management to align business and informational priorities. Communicate analytical findings and insights to both technical and non-technical stakeholders.
• Contribute to advancing the transition toward a more data-driven culture. Adhere to data governance policies in servicing data extraction or report requests, metrics, and dashboards. Assess adherence to data quality standards and data governance initiatives.
• Manage projects to ensure measurable, actionable results align with stakeholder goals.
• Provide professional consultation services.
• Identify opportunities for process optimization and stay informed on the latest trends and advancements in data analytics. Continuously evaluate and refine existing data processes and methodologies.

Requirements:

• Bachelor's degree in any STEM-related disciplines
• Certification(s) in any modern data visualization platform
• 2-5 years of experience working in a data analyst role, preferably in the healthcare industry
• Proven experience wrangling large datasets and using data visualization tools such as Tableau or Power BI
• Proficiency in programming languages (Python, SQL) is essential
• Strong understanding of statistical methods and concepts such as hypothesis testing, regression analysis, and classification techniques.
• Experience with the ETL process and machine learning techniques would be advantageous

Company’s Profile:

Our client is an international technology and engineering company that specialises in providing innovative digital and security solutions to their esteemed clients. They are well-known for their dedication of quality delivery standards with more than 15,000 engineers globally supporting projects. They have an international presence in over 100 countries worldwide and are looking out for AI Engineers to join their team and contribute to their ongoing success.

Location: Ang Mo Kio/Yio Chu Kang area

Job Responsibilities:

• Work with internal & external stakeholders on data-related technical issues and support their data infrastructure needs
• Work closely with data scientists to solicit data requirements to support modeling works
• Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time)
• Define, monitor and report SLAs for data pipelines and data products
• Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements
• Drive/execute data quality assurance practices
• Support data management solutions pre-sales initiatives, proposal development and provide post-sales support

Requirements:

• At least 2 – 3 years’ work experience in data engineering field, experience with master data management, data governance, data lifecycle management
• Education qualification in Computer Science, Data Science, Machine Learning or relevant field
• Proficiency with relational/non-relational/NoSQL database and enterprise data warehouse/mart
• Experience with big data technologies e.g. Hadoop, Spark, Hive, HBase etc.

Interested candidates may whatsapp your resume to 6421 4965. Only shortlisted applicants will be contacted.

Cassie Chan | R2197426

Talentsis Pte Ltd | EA No: 20C0312

Position Overview:

We are seeking a visionary and experienced Senior Data Scientist to lead transformative initiatives that leverage Generative AI (GenAI) to enhance software development efficiency, augment data science workflows, and spearhead the development of GenAI agents for Smart Manufacturing. This role offers a unique opportunity to make a significant impact by driving innovation in a global manufacturing environment.

Key Responsibilities:

1. Generative AI Strategy and Implementation

a. Develop and execute strategies to integrate Generative AI tools and techniques into software development processes, improving efficiency and reducing development time.

b. Identify opportunities to augment data science workflows using GenAI, enhancing model development, data analysis, and feature engineering capabilities.

2. Team Leadership and Collaboration

a. Lead and mentor a cross-functional team of data scientists, machine learning engineers, and domain experts to design and implement GenAI solutions.

b. Foster a culture of innovation and continuous learning within the team.

c. Collaborate with stakeholders across engineering, manufacturing, and IT to align AI initiatives with business goals.

3. Pilot Development of GenAI Agents for Smart Manufacturing

a. Design and lead pilot projects to develop GenAI agents that enable smarter, more efficient manufacturing processes, including predictive maintenance, anomaly detection, and process optimization.

b. Evaluate and integrate emerging GenAI technologies to drive scalability and effectiveness in manufacturing applications.

4. Research and Innovation

a. Stay abreast of advancements in Generative AI, machine learning, and related fields to bring cutting-edge solutions to the organization.

b. Publish findings and contribute to thought leadership in the AI community to position the company as an industry leader in AI-driven manufacturing.

5. Data Governance and Ethical AI

a. Ensure compliance with data governance policies, ethical AI principles, and relevant regulations in all AI initiatives.

b. Champion transparency, fairness, and accountability in AI system design and deployment.

Qualifications:

· Education: MS in Computer Science, Data Science, Machine Learning, or a related field, PhD preferred.

· Experience: Minimum of 5 years of experience in data science, with at least 1 year in a role focusing on Generative AI and/or Smart Manufacturing.

· Technical Expertise:

· Proficiency in programming languages such as Python, R, or Java.

· Strong experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).

· In-depth knowledge of Generative AI models (e.g., GPT, DALL-E, Llama) and their applications.

· Expertise in data engineering, large-scale model training, and deployment.

· Leadership Skills: Proven ability to lead and inspire teams, manage complex projects, and drive cross-functional collaboration.

· Industry Knowledge: Experience in the manufacturing sector is highly desirable, with a strong understanding of smart factory operations and challenges.

Key Competencies:

· Strategic thinking with a focus on delivering measurable business value.

· Strong problem-solving and analytical skills.

· Excellent communication and presentation abilities, capable of articulating complex AI concepts to diverse audiences.

· A passion for innovation and driving change through AI technologies.

What We Offer:

· Opportunity to work on cutting-edge AI projects with significant impact on global manufacturing processes.

· A collaborative and dynamic work environment.

· Competitive compensation and benefits package.

· Professional development and learning opportunities.

Senior Data Analyst | $ 6000

RESPONSIBILITIES:

· Data Extraction and Management: Extract and transform data from various sources, ensuring data accuracy, consistency, and reliability. Cleanse data and identify/rectify coding errors. Develop and maintain data pipelines and data models for analyses.

· Data Analysis and Reporting: Analyze large datasets to identify trends, patterns, and anomalies, using statistical techniques and data visualization. Develop and maintain dashboards and reports to track Key Performance Indicators (KPIs). Generate regular and ad-hoc reports, collaborating with stakeholders to meet their reporting needs.

· Insights and Recommendations

· Collaboration and Communication

· Data Governance

· Project Management

· Process Improvement

Requirements:

· Bachelor's degree in any STEM-related disciplines

· Certification(s) in any modern data visualisation platform

· 2-5 years of experience working in a data analyst role, preferably in the healthcare industry

· Proven experience wrangling large datasets and in using data visualization tools such as Tableau or Power BI

· Proficiency in programming languages (Python, SQL) is essential

· Strong understanding of statistical methods and concepts such as hypothesis testing, regression analysis, and classification techniques.

· Experience with the ETL process and machine learning techniques would be advantageous

Interested candidates, please send your CVs on [email protected]

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

Job Duties

• Responsible for delivering BIM implementation to the BIM Execution plan, implementing and enforcing BIM execution
• Creation and maintenance of the software template files to assure standards
• Provide support for plotting and electronic file submissions
• Assist in automating routines in BIM to support standards and productivity
• Provide quality control for completeness and adherence to company standards of all shop drawings produced
• Assist in developing and enforcing BIM Documentation and workflow process standards
• Assist in training and overseeing the day to day activities of the Revit Specialist to ensure BIM standards are maintained in the creation of Revit Model
• Support Project Standards Coordination with Stakeholders
• Assist on project work – modelling and detailing
• Help resolve BIM design issues
• Assist in Managing and distributing coordinated digital documents to the project team
• Linking BIM to Project Construction Administration Phase for Submission, shop drawing and modules
• Any other duties as assigned by the immediate superior

Job Requirements

• Diploma in Electrical, Mechanical or building services engineering.
• Minimum 4 Years experience in Construction, Design, Drafting and Coordination (services)
• At least 2 year of BIM Coordination or BIM Management Experience in a Design, Engineering or Construction firm.

Job description:( In Detail):

• Collaborate with business stakeholders and engineering teams to gather, understand, and translate data requirements for implementation in broader data initiatives.
• Implement scalable data processes that can be reused across similar known use cases and adapt to evolving business stakeholder demands.
• Work with internal engineering teams and external data vendors to resolve any technical data-related issues.
• Provide timely and effective support to end users, address any relevant data queries or issues encountered.
• Develop and maintain comprehensive documentation for data management activities (e.g, operating models, processes, implementation designs and user-acceptance test results).
• Monitor and report on the effectiveness of data initiatives, providing insights and recommendations for continuous improvement.
• Stay updated with the latest industry trends and best practices in data management.

Skillset (Must have):

• Proven experience in data management (e.g, Metadata, Data Quality, Data Discovery etc.) and support for enterprise-level data products.
• Good understanding of financial data and data management best practices.
• Demonstrate understanding of the complex data security and technical challenges faced by large, reputable organizations.
• Extensive knowledge and hands-on experience with SQL, including data storage and management in relational databases such as Snowflake, Microsoft SQL Server, Oracle etc.
• Familiarity with leading data management trends and practices in the financial industry, including approaches to data quality and business-technology issues related to data.
• Excellent analytical, communication, problem-solving and documentation skills.
• Ability to work independently and collaboratively as part of a team.

Skillset (Good to have):
- Experience and knowledge of Python is preferred.

- Certification in data management or data quality (e.g., DAMA, CDMP) will be advantageous.

SKILLS: Metadata, Data Quality, Data Discovery, SQL, Snowflake, Microsoft SQL Server, Oracle, Python

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Overview:We are seeking an AI and Analytics Specialist to find innovative ways to apply artificial intelligence and analytics to real-world Wealth Management challenges. You will work on enhancing client offerings or improving internal processes, constantly pushing the boundaries of how AI can be leveraged to drive value in a dynamic financial environment.

Responsibilities:

• Collaborate with the data hub team to deliver AI-driven data transformation projects.
• Understand business requirements and develop analytical solutions to address key business problems.
• Use design thinking to identify user pain points and areas where advanced analytics, such as Machine Learning and Natural Language Processing, can drive value.
• Design and develop machine learning models tailored to financial services.
• Build advanced analytics workflows, including feature engineering, model development, and insight visualization.
• Create dashboards for data storytelling and insights consumption.
• Develop reusable analytical assets to support various projects.
• Work with business and analytics teams to operationalize models and drive measurable business outcomes.
• Conduct regular audits to ensure model relevance and accuracy.
• Clearly communicate results and insights to stakeholders.

Qualifications:

• Strong strategic thinking around AI’s business value.
• Initiative and resilience to succeed in a highly regulated environment.
• Expertise in machine learning, NLP, clustering algorithms, and feature engineering.
• Proficiency in Python and tools like pandas, scikit-learn, TensorFlow, pytorch, and Flask.
• Experience with data visualization tools such as Power BI or Tableau.
• Ability to explain technical concepts to both technical and non-technical audiences.
• Scientific approach to experimentation and solution evaluation.
• A portfolio of previous AI projects or Kaggle competition experience is a plus.
• Degree holder.

This role requires a mix of technical expertise and business acumen, with the ability to innovate in the AI space within the wealth management domain.

Roles and Responsibilities

• Be part of the development core for the Digital Transformation Development team
• Produce initial development ideas, perform PoC and deploy the product in GCP under Agile framework
• Maintain and propose new ideas to enhance team practice in product development, including GitHub/Jira/Confluence usage
• Assist in creating data mart from ONE data warehouse in GCP environment whenever necessary
• Set up ETL job and maintain data accuracy with good knowledge of data structure/data latency whenever necessary
• Nurture and provide guidance to junior staff members in the team, building up a solid support force for data science-related product development
• Keep track of latest development of projects and provide timely reporting to the management and comprehensive review/planning on a regular basis

Requirements

• Bachelor or above in Data Science, Analytics, Mathematics
• Minimum 4 years' experience in SaaS product development preferred; shipping knowledge would be advantageous
• Excellent communication skills, with the ability to present complex analysis to a non-technical audience
• Proficiency in Python/SQL, as well as Cloud platforms (GCP preferred)/ Google Suite (Apps Script is a plus)/ GitHub/Jira/Scrum framework
• Good knowledge of data engineering that covers data governance, database architectures and data pipelines
• Good knowledge of mathematics/statistics/computer science/machine learning
• Strong problem solving and risk analysis skills to analyse ONE internal system data, as well as the forecast system background data
• Ability to review complex information, perform comparative analysis, and make recommendations based on findings
• Ability to perform BI analytics to present insightful messages with follow-up actions
• Highly self-motivated and able to work independently
• Experience in MLDevOps on Cloud is a plus

Interested applicants, please Email , and look for

Jensen Fang Lifa, [email protected]

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.

Job Description:

• Produce initial development ideas, perform PoC and deploy the product in GCP under Agile framework
• Maintain and propose new ideas to enhance team practice in product development, including GitHub/Jira/Confluence usage
• Assist in creating data mart from data warehouse in GCP environment whenever necessary
• Set up ETL job and maintain data accuracy with good knowledge of company's data structure/data latency whenever necessary
• Nurture and provide guidance to junior staff members in the team, building up a solid support force for data science-related product development
• Keep track of latest development of projects and provide timely reporting to the management and comprehensive review/planning on a regular basis

Requirements

• Bachelor or above in Data Science, Analytics, Mathematics
• Minimum 4 years' experience in SaaS product development preferred; shipping knowledge would be advantageous
• Excellent communication skills, with the ability to present complex analysis to a non-technical audience
• Proficiency in Python/SQL, as well as Cloud platforms (GCP preferred)/ Google Suite (Apps Script is a plus)/ GitHub/Jira/Scrum framework
• Good knowledge of data engineering that covers data governance, database architectures and data pipelines
• Good knowledge of mathematics/statistics/computer science/machine learning
• Strong problem solving and risk analysis skills to analyse company's internal system data, as well as the forecast system background data
• Ability to review complex information, perform comparative analysis, and make recommendations based on findings
• Ability to perform BI analytics to present insightful messages with follow-up actions
• Highly self-motivated and able to work independently
• Experience in MLDevOps on Cloud is a plus

Interested applicants please send your resume to [email protected]

Venessa Goh Wee Ni
R24124686
Recruit Express Pte Ltd
EA License No: 99C4599
RCB No.: 199601303W

We regret that only shortlisted candidates will be contacted.

Key Responsibilities:

1. Oversee daily on-site security operations to ensure a safe and secure environment.

2. Manage and coordinate with external security service providers to maintain high service standards.

3. Collaborate with the Security Operations Center (SOC) to meet local security operation and maintenance goals.

Qualifications and Skills:

1. Diploma in Security Management, Risk Management, or a related field.
2. Strong security awareness with a proactive approach to risk management.

3. Excellent communication skills, with experience in managing vendor relationships.

4. Proven experience in project management, with the ability to oversee security-related initiatives.