✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

Job Description:

• Follow all laboratory protocols and policies in checking specimens (e.g. blood, stool, urine, etc) received & make sure that names tally with the request forms for testing.
• Assist in the care and maintenance of lab work area, furnishings & equipment.
• Follow test requirements of reference laboratory & procure appropriate specimen for testing.
• Perform bar coding samples & processes laboratory specimens received from patients under prescribed laboratory guidelines.
• Utilize lab information system (LIS) to register patients, retrieve results & print reports.
• Maintains adequate level of supplies in the work area.
• Receives requested stock items & distributes them to the appropriate place within the laboratory
• Aliquoting of urine samples

Requirements:

• Min. 'N/O/A' level or Diploma from any field
• No experience required

Interested and qualified candidates, please send in your application to [email protected]

Ivy Yong Shi Mei

R2198995

Recruit Express Pte Ltd 99C4599

Summary:

• Junior / Senior retail assistant in Japanese store
• Basic up to $2500
• Performance bonus
• Joining incentive up to $800
• 5 days work week, 40 hours/week
• Employee discount
• Optical & dental claims
• Birthday leave

Key Responsibilities:

• Help customers with any inquiries about the products
• Handle cash, credit card payments, and other forms of transactions
• Restock and replenish the products on to the shelves
• Handle product returns and exchanges
• Maintain general cleanliness of the store
• Perform other ad hoc duties assigned by store supervisor

Key Requirements:

• Able to commit on weekends

Interested applicants, please submit your updated resume in MS Words / PDF format by using the APPLY NOW BUTTON.

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

Please be informed that only shortlisted candidates will be notified.

Your recruiter for this job: Stella

WhatsApp me @ 8772 4117 for a prompt response to your enquiry!

Stella Aw Yong See Hui | R24121552

Recruit Now Singapore Pte Ltd | EA No: 21C0845

About the Opportunity

This role will support the Corporate Development within Alliance Healthcare Group and its subsidiaries

What You'll Be Doing

• Data analysis to support business decision-making, strategic development and operational requirements.
• Produce dashboard and reports to provide insights into historical data, trending and predictive trends.
• Frame business scenarios and propose features that impact critical business processes and decisions.

Key Responsibilities

• Act as the Data Analytics expert to provide insights on our data, to identify trends and opportunities and suggest solutions based on these insights to support business decision.
• Develop data mart, data models that can support data analysis to draw insightful information, predictive modelling and trend analysis, enabling us to proactively meet client needs and provide insights for active panel clinics management and portfolio management.
• Design and develop dashboard frameworks and reporting view to achieve efficiency in reporting for routine standard reports.
• Optimize statistical efficiency and quality.
• Collaborate closely with internal teams to understand insurers’ or clients’ requirements and business agreements, prepare claims analysis, and identify opportunities for improving efficiency of report submission.
• Standard regular reports to keep a view on panel clinics performance to ensure alignment with panel clinics management, cost containment strategies and to meet audit requirements.
• Utilize SQL and any other provided analytical tools to meet reporting requirements for clients/insurers/brokers.

What We Are Looking for

• Degree in Data Analytics or relevant discipline.
• Candidates without experience are welcomed to apply.
• Ability to use programming languages such as Python, SQL and BI tools such as Tableau and Power BI.
• Strong Financial and Statistical Analysis skills, and Business acumen.
• Advanced knowledge with Microsoft Office Suite, especially in Microsoft Excel and use of Macros.
• Possess creative thinking, with excellent problem solving skills.
• Great time and priority management skills, and adherence to deadline.
• A good team player, able to work closely with multiple operational functions of the company.
• Written and verbal communication skills.
• Ability to contextualize business operations to data observations and support decision-making with insightful analysis.

We regret to inform that only shortlisted applicants will be notified for an interview.

To learn more about our Organisation, please visit https://alliancehealthcare.com.sg.

Zenith Infotech (S) is a Tech Recruitment firm with 27 years of experience in Singapore, supporrting clients in terms of ICT Consultant placments.

Currently we are looking out for a Data Analyst with 3 years of experience, best working in Contact Center enviornment before or presently.

Responsibilities :

• Extract and clean the data from various data sources to generate daily, weekly and monthly reports.

• Writing SQL queries to retrieve information quickly.

• Fulfil ad-hoc data request from client and management.

• Work / Collaborate with Developer(s) to automate reports

• Liaise with client on data related queries

• Analyze contact center performance metrics, including call volume, response times, and customer satisfaction scores.

• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).

• Identify trends and patterns in data to inform operational improvements and strategy.

• Collaborate with management and other departments to develop actionable insights and recommendations.

• Support the implementation of process improvements based on data findings.

• Ensure data integrity and accuracy.

• Assist in forecasting demand and capacity planning based on historical data trends.

• Stay updated on industry best practices and emerging technologies in data analysis.

• Perform other duties and responsibilities that may be assigned to you by the management within your category of employment.

Qualifications and Skills:

• Minimum Bachelors in Business, Computer Science, Mathematics, Data Analytics, or a related field.

• At least 1 to 3 years of experience building reports using Excel, SQL AWS Quick sight or any other business intelligence and data analytics tools.

• Proficiency in data analysis tools (e.g., Excel, SQL, Python) and data visualization software (e.g., Tableau, Power BI).

• Proven experience in data analysis, preferably in a contact center environment.

• Strong communication and presentation skills

• Proactive and able to work independently with minimum supervision.

• Excellent time management with strong critical thinking and ability to handle pressure.

• Detail-oriented with a strong focus on accuracy and data integrity.

• Familiarity with statistical analysis and modeling.

• To support customer in maintaining their existing AliCloud solutions in accordance with best practices.
• To fix issues in customers existing AliCloud solutions.
• To communicate with Alibaba Cloud for advice on technical issues.
• To communicate and align with offshore AliCloud Data Engineer on task assigned to FPT team.
• Bachelor degree or above in IT and engineering, with relevant professional certificates.
• AliCloud related certification is a MUST.
• At least 1 other cloud (non AliCloud) certification will be preferred. More cloud certifications will be a big PLUS.

Requirements

• 3 to 5 years of working experience in IT industry.
• Hands-on experience in at least 1 AliCloud related project is a MUST. More AliCloud projects will be a PLUS.
• Hands-on experience in other cloud (i.e. non-AliCloud) related projects will be a PLUS.

Wipro Limited is a leading global information technology, consulting and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help our clients adapt to the digital world and make them successful.

A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 220,000 dedicated employees serving clients across six continents. Together, we discover ideas and connect the dots to build a better and a bold new future.

Network Data Administrator

Responsibility & Requirement

• Managing end to end administration of all Network platforms (Cisco Router & switches, Cisco Wireless infra along with Infoblox DDI).
• Ability to configure and debug and do basic level trouble shooting in technology areas like routers, switches, WIFI.
• Exposure to troubleshooting of routing protocols (RIP, EIGRP, OSPF, BGP).
• Experience on switching (VLAN, VTP, RPVST, Stacking).
• Experience in Cisco Catalyst 9K, 3550, 3650 and Nexus 7K & 9K, Cisco ISR/ASR routers.
• WAN Router configuration and Troubleshooting.
• Knowledge on Riverbed WAN optimizer.
• Network infrastructure management & configuration.
• Experience to handle Cisco wireless Infra, Cisco Prime and WAP devices.
• Strong knowledge on Infoblox DNS, DHCP.
• Able to take handover from project team as required.
• Regular audit of network devices and take corrective action accordingly.
• Performance Management & Optimization.
• Root Cause Analysis.
• Provide inputs for Capacity Planning/ Migration/ Optimization / Future upgrade strategy based on the performance trend.
• Preparation of Daily/Weekly/Monthly reports.
• Coordination with multiple vendors.
• Handling escalated incidents or high critical tickets.
• Plan and schedule for change management.
• Develop and maintain architecture diagrams and documents.
• Prepare SoPs and SMTD
• Good Communication skills.

Required Skills:

• LAN Switching, Cisco Nexus Switches, Routing protocols, Cisco wireless setup
• Minimum experience of 6 years in related field.
• Minimum Degree in related field.

Technical skills

Hands-on experience required on the following technologies:

• Routing protocols - EIGRP, OSPF, BGP, PBR.
• LAN Switching - VLAN, VTP, STP, HSRP, GLBP, Cisco Nexus Switches (5k, 7k, 9k) - VDC, VPC, OTV, FEX.
• Cisco Wireless setup.
• Infoblox DDI.
• TCP/IP protocol suite, Quality of Service.
• Riverbed WAN optimizer.
• Knowledge on IPSec VPN, AAA Architecture, TACACS+ and RADIUS will be preferred.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.

- 1-year contract (renewable / convertible)

- Marina Bay

- Hybrid Work

- Monday to Friday: 9am – 6pm (2 days WFH)

- Up to $6,500

Job Responsibilities:

This role involves creating mathematical formulas and models to address business challenges and drive operational efficiency. The Data Scientist will apply advanced mathematical techniques to develop solutions that enhance decision-making and optimize various business functions.

Project Function : Data Management/ Analytics, Information Technology

Responsibilities Include:

• Design and develop advanced mathematical, simulation, and optimization models and apply them to define strategic and tactical needs and drive appropriate business and technical solutions in the areas of price, fuel, network flow, supply chain optimization, and demand planning.
• Apply mathematical optimization techniques (linear, quadratic, SOCP, robust, stochastic, dynamic, mixed-integer programming, network flows, nonlinear, nonconvex programming) and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software
• Research, prototype and experiment with these models by using modeling languages such as Python; participate in the production level deployment

The candidate should have the expertise/experience of:

• Experience in building optimization models and implementing them
• Expertise in validating and simulating math optimization model
• Experience designing and supporting large-scale optimization systems in a production environment
• Analytical Skills: Strong ability to analyze complex problems, develop mathematical models, and interpret results.
• Mathematical Proficiency: Solid understanding of optimization techniques, linear programming, integer programming, and other mathematical methods.
• Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Problem-Solving: Strong problem-solving skills with a focus on finding effective and efficient solutions to business challenges.
• Attention to Detail: High attention to detail and accuracy in developing and validating models and solutions.
• Experience: Capable of building optimization models and implementing them with the ability of validating and simulating math optimization model

Period:

• 1-year contract (renewable / convertible)

Location:

• Marina Bay

​Working hours:

• Monday to Friday: 9am – 6pm with hybrid work arrangement (3 days work in office and 2 days work from home)

Salary:

• Up to $6,500

Job Requirements:

• Master or Bachelor Degree in Operations Research, Mathematical Optimization, Statistic, Computer Science or a related field with 2+ years of similar job experience
• Expertise in at least one of the areas of convex optimization, robust optimization and supply chain management
• Strong coding skills (one or more of Python or R) and experience using one or more commercial optimization solvers
• 2+ years of experience in data science, with a focus on solving optimization problems. Experience in industries such as logistics, manufacturing, finance, or tech is preferred
• Demonstrated experience in leading optimization projects from conception to deployment, including model development, validation, and implementation

Interested applicants, kindly email your detailed resume (MS Word format is preferred):

[email protected] (Reg No: R1332758)

Please ensure that applications sent through email are no bigger than 1Mb.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

Success Human Resource Centre Pte Ltd (EA License Number: 97C4832)

160 Robinson Road, #13-07/08/09 SBF Center, Singapore 068914
T: 6337 3183 | W: www.successhrc.com.sg

• Support the transition of data migration activities from other vendors and ensure alignment with the overall migration strategy.
• Refine data migration requirements, update migration strategy, and coordinate with stakeholders to ensure all aspects of the migration are covered.
• Assess data quality issues, collaborate with business users to prioritize data quality analysis and address any concerns.
• Build and manage test cases, scenarios, test scripts, and define entry/exit criteria for successful data migration.
• Define and establish key performance indicators (KPIs) and dashboards to monitor the execution of the data migration process.
• Work closely with the Data Migration Lead to ensure adherence to timelines and project milestones while supporting the overall data migration strategy.
• Min. 3 years of IT Service Management (ITSM) experience, covering all phases of ITSM (e.g., ITIL).
• Min. 3 years of Business Analyst experience, including documentation and project management.
• Solid knowledge of ITIL or other ITSM frameworks.
• At least 3 years of working experience in banking/ financial service

Responsibilities:

Support the organisation's data centre services through monitoring and management for system, network and facilities
Perform computer operations including account and tape management
Incident management and act as escalation point to any facilities and system / network
Manage and administer the service desk operations
System alert monitoring and perform necessary escalation
Liaison with landlord / vendor with regards to utilities, building services / facilities and systems issues
Assist in planning and execution of disaster recovery activities
Ensure procedures, processes and service level are being followed for any service delivery and operations
Review of the data centre operations and report any gaps and issues
Maintain proper IT documentation and prepare monthly reporting

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

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

PERSOLKELLY Singapore Pte Ltd
• RCB No. 200007268E • EA License No. 01C4394
• Reg. <R1548745> <Teoh Shiau Swang>

- 1-year contract (renewable / convertible)

- Marina Bay

- Hybrid Work

- Monday to Friday: 9am – 6pm (2 days WFH)

- Up to $6,500

Job Responsibilities:This role involves creating mathematical formulas and models to address business challenges and drive operational efficiency. The Data Scientist will apply advanced mathematical techniques to develop solutions that enhance decision-making and optimize various business functions.

Project Function : Data Management/ Analytics, Information Technology

Responsibilities Include:

• Design and develop advanced mathematical, simulation, and optimization models and apply them to define strategic and tactical needs and drive appropriate business and technical solutions in the areas of price, fuel, network flow, supply chain optimization, and demand planning.
• Apply mathematical optimization techniques (linear, quadratic, SOCP, robust, stochastic, dynamic, mixed-integer programming, network flows, nonlinear, nonconvex programming) and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software
• Research, prototype and experiment with these models by using modeling languages such as Python; participate in the production level deployment

The candidate should have the expertise/experience of:

• Experience in building optimization models and implementing them
• Expertise in validating and simulating math optimization model
• Experience designing and supporting large-scale optimization systems in a production environment
• Analytical Skills: Strong ability to analyze complex problems, develop mathematical models, and interpret results.
• Mathematical Proficiency: Solid understanding of optimization techniques, linear programming, integer programming, and other mathematical methods.
• Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Problem-Solving: Strong problem-solving skills with a focus on finding effective and efficient solutions to business challenges.
• Attention to Detail: High attention to detail and accuracy in developing and validating models and solutions.
• Experience: Capable of building optimization models and implementing them with the ability of validating and simulating math optimization model

Period:

• 1-year contract (renewable / convertible)

Location:

• Marina Bay

Working hours:

• Monday to Friday: 9am – 6pm with hybrid work arrangement (3 days work in office and 2 days work from home)

Salary:

• Up to $6,500

Job Requirements:

• Master or Bachelor Degree in Operations Research, Mathematical Optimization, Statistic, Computer Science or a related field with 2+ years of similar job experience
• Expertise in at least one of the areas of convex optimization, robust optimization and supply chain management
• Strong coding skills (one or more of Python or R) and experience using one or more commercial optimization solvers
• 2+ years of experience in data science, with a focus on solving optimization problems. Experience in industries such as logistics, manufacturing, finance, or tech is preferred
• Demonstrated experience in leading optimization projects from conception to deployment, including model development, validation, and implementation

Interested applicants, kindly email your detailed resume (MS Word format is preferred):

[email protected] (Reg No: R1332758)

Please ensure that applications sent through email are no bigger than 1Mb.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

Success Human Resource Centre Pte Ltd (EA License Number: 97C4832)

160 Robinson Road, #13-07/08/09 SBF Center, Singapore 068914
T: 6337 3183 | W: www.successhrc.com.sg

• Support the transition of data migration activities from other vendors and ensure alignment with the overall migration strategy.
• Refine data migration requirements, update migration strategy, and coordinate with stakeholders to ensure all aspects of the migration are covered.
• Assess data quality issues, collaborate with business users to prioritize data quality analysis and address any concerns.
• Build and manage test cases, scenarios, test scripts, and define entry/exit criteria for successful data migration.
• Define and establish key performance indicators (KPIs) and dashboards to monitor the execution of the data migration process.
• Work closely with the Data Migration Lead to ensure adherence to timelines and project milestones while supporting the overall data migration strategy.
• IT Service Management (ITSM) experience, covering all phases of ITSM (e.g., ITIL).
• Business Analyst experience, including documentation and project management.
• Solid knowledge of ITIL or other ITSM frameworks.
• Working experience in banking/ financial service
• Experience in financial industry and/ or IT Service Management (ITSM) is a plus.
• Proficient in Microsoft Office (PowerPoint, Excel, Word) for documentation and reporting

As part of our recruiting process, we would like to request all interested applicants to apply directly through TD's Careers Site at:

https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Senior-Manager--Data-Scientist_R_1374555-1

Job Description:

Provide technical leadership across the Analytics function supporting fraud and financial crimes with an enterprise mandate. Role generally provides deep technical knowledge and expertise in customer interactions and financial crimes (including Fraud and AML) to explain complex data analysis and drive insights in a compelling manner to support a growth mandate and inform strategic change.

KEY ACCOUNTABILITIES

• Provide deep technical leadership and expertise to support and define future direction in one or more specialized areas or lead strategic development efforts on new or emerging data science related projects
• Work closely with business owners to identify opportunities and serve as an ambassador for data science
• Play a lead role on cross functional teams of data scientists, data and IT engineers, and business process owners to build cutting edge analytic solutions
• Design and deliver enterprise analytic solutions to our customers
• Develop powerful business insights from customer behavioural data and signals using advanced machine learning techniques
• Build complex statistical models that learn from and scale to petabytes of data.
• Provide analytical thought leadership and staying current on developments in data exploration and the application of data science
• Provide thought leadership and/or broad industry knowledge across multiple business / functional areas or across the enterprise
• Apply industry / analytical expertise to provide innovative and sound solutions that increase business results and/or minimizes risk
• Identify new analytical trends / data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and create analytical models that help answer impactful business questions
• Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured.
• Employ techniques and theories drawn on many fields within the broad areas of mathematics and statistics
• Be comfortable working through ambiguity and help make informed decisions
• Work in a highly interactive, team-oriented environment with Big Data developers and Visualization experts
• Act as a lead or top technical data scientist and work closely with senior leadership on significant data and analytics projects
• Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest
• Develop creative and innovative data driven analytical solutions to optimize operational efficiencies and leverage synergies to support overall business strategies
• Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
• Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils)
• Deliver advanced analytical capabilities above and beyond existing methods
• Exceptionally lead and run analytical projects autonomously and create and effectively deliver analytical presentations for executive audiences/stakeholders
• Showcase advance level peer leadership, impact and influence partner, and may mentor / coach peers
• Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques
• Act as a key business partner, guide and collaborate with business leaders to prioritize and identify key business needs and provide impactful analytical insights

EXPERIENCE & EDUCATION

• Undergraduate degree or technical certificate
• 12+ years relevant experience
• 3+ years managing a team supporting advanced machine learning
• Advanced coding skills (python, pyspark preferred)

greehill is looking for professional with good GIS and spatial orientation skills to process and quality control field date (photogrammetry and Lidar) to join our Singaporean team.

Who we are

As the global pioneer in nature-based smart-city solutions, we help cities around the world to become more sustainable and more resilient against climate change. We are leading in applying smart city technologies such as the latest remote sensing and machine learning to green urban assets. With our cloud-based platform cities improve the well-being of their citizens through a greener, healthier, safer and more resilient urban environment while reducing operational costs. We currently operate offices in Budapest, Berlin, Singapore, San Francisco and Paris.

Your contribution will be

• Verify the quality of acquired field data
• Process Mobile Laser Scanning trajectories and Terrestrial Laser Scanning data
• Align and adjust different measurements
• Ensure quality control of post-processed data
• Solve GIS related tasks of processing
• Manage camera adjustment
• Provide data export and data management

We need you to have

• Advanced computer skills (PC, Windows OS) with at least 5 years of experience
• GIS experience
• Good spatial (3D) orientation ability
• Ability and interest to quickly understand and apply new data processing pipeline
• Fluent English communication
• Strong team spirit

We give preference to

• Lidar data post-processing knowledge
• Experience with laser scanning, field data capture and data processing
• Knowledge of RIEGL processing software (RiscanPro, RiProcess)
• Knowledge of photogrammetry, camera calibration
• GNSS knowledge about RTK quality, raw GNSS data post-processing
• Interest in state-of-the-art technologies

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

1. IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
2. New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
3. Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

RESPONSIBILITIES

• Work closely with data product team and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Work closely with product vendors to design, deploy and integrate different data platforms with the organization's ecosystem.
• Ensure that the deployed platforms follow the IT security and compliance policies.
• Establish processes and develop monitoring mechanisms to detect the availability of the platforms.
• Act as the solution architect and develop the end-to-end onboarding of projects onto the data platforms deployed in the organization for different BI needs such as data ingestion, visualization, data governance.
• Perform testing on the deployed data platforms

• Bachelor's Degree in Computer Science or equivalent.
• At least 5 years' experience of working as a platform support engineer or a software engineer or a data engineer.
• Solid working knowledge of implementing the optimal data structures and algorithms to create efficient and scalable applications in Java or Python.
• Strong hands-on experience and working knowledge of application implementation to implement new platforms.
• Familiar with application integration using RDBMS.
• Hands-on experience of using Linux (or Unix-like OS) as the development environment, and familiar with Shell scripts and command line tools.
• Knowledge of data integration and data visualization platforms such as Informatica, Tableau, and Power BI.
• Exposure and knowledge in the following technologies will be advantageous:
  • Java, Python
  • Snowflake, Oracle, MS SQL, Denodo
  • AWS services
• Experience in the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
• Good understanding and able to apply good industry practice of code versioning, testing, CICD workflow, and code documentation.
• Good team player, with strong analytical skill and enjoy complex problem solving with innovative ideas.
• Good communication/people skills and able to interact with data analysts, business end-users and vendors to design and develop solutions.
• Good at working with details and is meticulous for operations.

Responsibilities:

• Develop business strategies, as well as pursuing and evaluating business opportunities locally and overseas.
• Drives growth of the real estate portfolio by building relationships and supporting the origination of new investments and business opportunities
• Develop and implement a sound business plan for sourcing acquisition or investment opportunities, including specific strategies designed to achieve short and long-term growth and profit objectives.
• Manage end-to-end investment transactions including origination, research, deal evaluation and structuring, financial analysis including financial modelling, and deal negotiation and execution
• Conduct commercial and financial due diligence.

Requirements:

• Degree in Engineering, Building, Real Estate, Business, Finance or any related discipline.
• At least 10 years’ relevant working experience in Singapore and / or regional real estate investments.
• Resourceful, a keen analytical mind and proficiency in financial modelling are essential.
• Good financial product knowledge, possess experience in site selection, business development and / or development management experience in Data Centres properties investment preferred.
• Excellent leadership skills, strong initiative, good business and financial acumen, and great independence in working in a fast-paced environment.

Interested candidates who wish to apply for the advertised position, please click on “Apply”. We regret that only shortlisted candidates will be notified.

EA License No.: 01C4394 (PERSOLKELLY Singapore PTE LTD)

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

Job Summary

We are looking for Data Engineer who will be playing a key role in creating, building and maintaining our client’s data infrastructure.

Mandatory Skill-set

• Degree in Computer Science or related discipline;
• Minimum 2-3 years of experience in Data Analysis and experience of Project management;
• Knowledge of making frameworks and power point presentations;
• Good hands-on experience in Python/ Spark and SQL to code complex data engineering use cases;
• At least 2 years of experience in Data Management and data governance;
• Able to collect, parse, manage, analyse and visualise large sets of data to turn information into insights accessible through multiple platforms and works more with structured data;
• Basic project management knowledge, Team presentation skill & Business analytical skill;
• Excellent interpersonal, and communication skills with the ability to coordinate / work with multiple teams;
• Motivated, driven, logical, and possess excellent time management skills;
• Has strong analytical and problem-solving skills with attention to detail.

Desired Skill-set

• Experience in financial industry;
• Familiarity with Agile development methodologies.

Responsibilities

• Create, build, and maintain the data infrastructure required for Extraction, Transformation and Loading of data from a wide variety of sources.
• Ensure high-quality data is delivered to support Compliance model development.
• Support the implementation of Data Analytics / Automation for Compliance teams and Business stakeholders.
• Liaise with relevant stakeholders (e.g., Data Management Office) to identify and assess suitability of data for Compliance Data models.
• Liaise with Business stakeholders / analysts and ensure assembled data assets used for model development meet business requirements.
• Build & maintain data dictionaries / data requirements of implemented data models and coordinate with Data Scientist(s) in developing model narratives.
• Monitor the execution & performance of data models and liaise with IT for any technical / system outages.
• Keep track of datasets / tables in the working schema and support purging of unused tables periodically.
• Perform data analysis required to troubleshoot data related issues and support the resolution of raised data issues.

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

Responsibilities:

Support the organisation's data centre services through monitoring and management for system, network and facilities
Perform computer operations including account and tape management
Incident management and act as escalation point to any facilities and system / network
Manage and administer the service desk operations
System alert monitoring and perform necessary escalation
Liaison with landlord / vendor with regards to utilities, building services / facilities and systems issues
Assist in planning and execution of disaster recovery activities
Ensure procedures, processes and service level are being followed for any service delivery and operations
Review of the data centre operations and report any gaps and issues
Maintain proper IT documentation and prepare monthly reporting

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.
We regret to inform that only shortlisted candidates will be notified.
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EVO Outsourcing Solutions Pte. Ltd
• RCB No. 202233837K
• Reg. <Gan Hui Xian>

Job Opportunity: Data Analyst – Hospital and Community Transitional Care Models (HCTCM)

Overview
To support the custodians of the Hospital and Community Transitional Care Models (HCTCM) databases. Help analyze and draw insights from data extracted from clinical databases to improve health services research and quality care.

Key Responsibilities

• Collaborate with clinical leads to evaluate HCTCM projects.
• Support data collection on patient-reported outcomes and costs for full care cycles.
• Lead database management for program evaluations, including data extraction and aggregation.
• Ensure compliance with local laws, policies, and standards.
• Provide operational support to the Assistant Director and Project Manager.
• Handle grant-related documentation and progress reports.

Requirements

• Postgraduate/Bachelor’s Degree in Biomedical Sciences, Sociology, Engineering, or Healthcare.
• Strong communication and interpersonal skills.
• Proficient in statistical and data management.

All qualified applicants, please click “ APPLY NOW”

Or you may send in your resume to:

Whatsapp: https://wa.me/+6597430026

Email : [email protected]

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

Salary: up to $4500

Duration: 7 months contract

Working Days & Hours: Mon-Fri Office Hours

Location: Jurong East

Job Description:

• • Collaborate with clinical leads to facilitate the evaluation of HCTCM projects.
• • Assist HCTCM clinical lead in choosing suitable PROMs.
• • Support in data collection for patients’ reported outcome and costs for full cycle of care, and track their follow-up
• • Engage in Electronic PROMs/ REDCap database activities
• • Lead in database management and preparation for conducting programme evaluation, including data extraction, data linkage and data aggregation from different data sources.
• • Lead or assist database protocol; and ensure proper research design and compliance with local laws, cluster policies and Disease Specific Research Board (DSRB) Standards.
• • Provide operations support to Assistant Director and Project manager.
• • Grant representative for HCTCM Fund
• • Processing grant-related documentation accurately and timely and crafting quarterly progress reports for Fund

Job Requirements: Min Degree in Business/Sciences/Engineering or similar w min 3 yrs of relevant data analytics experience, preferably in public healthcare sector

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

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is looking for Data Analyst

Internal Code: A24122

This is a contract role - the engagement is from January 2025 to July 2025

This is a healthcare application:

• Mobile application (iOS and Android)
• Dashboard (React)

What will you do?

• Support the development and business teams in unit testing and archiving data, engineered features, and algorithmic inputs/outputs throughout the data pipeline and to support analytics.
• Proven experience as a data engineer/ data analyst in mobile app development projects and administrative dashboards.

1. Create unit tests throughout the data and algorithms domain:

• Work with engineering and business teams to implement wide-coverage unit tests of data and engineered features at different stages throughout the data collection and processing pipeline
• Create unit tests of inputs to and outputs from the algorithms that drive the clinical service
• The unit tests include validation of the inputs and outputs of black-box machine learning algorithms
• Establish a regular process to execute the tests and document their outcomes as a part of our product development and release lifecycle

2. Implement and refine mechanisms to continuously archive the state of algorithmic inputs and outputs:

• Implement a process of taking snapshots of data/features input into algorithms necessary to recreate their outputs/predictions at any point in the past during the service
• Communicate requirements to the software development team

3. Assist in the successful delivery of regular service analytics and reports:

• Support the business and analytics teams in their daily and weekly delivery of reports on data completion, user engagement, and algorithm actions by addressing any data quality and validation requirements.

What are we looking for?

• Bachelor's Degree in computer science, engineering, business analytics, technology, or a related field.
• Minimum of 2 years of experience in data engineering, data analytics, or data product management roles within the tech industry. Experience in healthcare is a plus.
• Ability to implement tests in Python.
• Experience in machine learning algorithms
• Good understanding of the validation requirements of an algorithmic product. Knowledge of healthcare regulation and auditing requirements is a plus.

What do we offer in return?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd 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 Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’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 (https://www.activate.sg/privacy-policy) 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.

Job Responsiblities:

- Develop and implement advance statiscal and machine learning models to solve complex problems.

- Lead the data-driven decison- making process, from date collection and analysis to implementation and monitoring of solutions.

- Partner with senior stakeholders, including product managers, engineers, and executives, to understand business objectives and translate them into actionable data insights. Provide strategic recommendations to drive business growth and operational excellence.

- Partner with senior stakeholders, including product managers, engineers, and executives, to understand business objectives and translate them into actionable data insights. Provide strategic recommendations to drive business growth and operational excellence.

Job Requirement :

Master’s in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced academic qualifications are highly desirable

At least 10 years of relevant working experience in data projects or data science or analytics.

Proficient in Python, R, SQL, and other programming languages and tools for data analysis and manipulation.

Experience in developing and deploying data products and applications using cloud platforms, such as AWS, Azure, or Google Cloud.

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:

• Design, build, and optimize machine learning models and algorithms to solve specific business problems.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models into production environments.
• Train and fine-tune machine learning models using appropriate algorithms and techniques. Evaluate model performance using techniques such as cross-validation, hyperparameter optimization, and ensemble methods.
• Deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.
• Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.
• Perform exploratory data analysis, generate insights, and present findings to stakeholders, using statistical methods and visualization techniques.

Requirements:

• Education qualification in Computer Science, Data Science, Machine Learning or relevant field (Fresh grads or students currently pursuing this area of studies are welcome to apply)
• Work, project or internship experience in designing, developing, and deploying machine learning models in real-world applications will be a strong advantage
• Knowledge of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn)

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

Cassie Chan | R2197426

Talentsis Pte Ltd | EA No: 20C0312

As part of our recruiting process, we would like to request all interested applicants to apply directly through TD's Careers Site at:

https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Manager--Data-Scientist_R_1374551

Job Description:

Provide technical leadership across the Analytics function supporting fraud and financial crimes with an enterprise mandate. Role generally provides deep technical knowledge and expertise in customer interactions and financial crimes (including Fraud and AML) to explain complex data analysis and drive insights in a compelling manner to support a growth mandate and inform strategic change.

KEY ACCOUNTABILITIES

• Provide deep technical leadership and expertise to support and define future direction in one or more specialized areas or lead strategic development efforts on new or emerging data science related projects
• Work closely with business owners to identify opportunities and serve as an ambassador for data science
• Play a lead role on cross functional teams of data scientists, data and IT engineers, and business process owners to build cutting edge analytic solutions
• Design and deliver enterprise analytic solutions to our customers
• Develop powerful business insights from customer behavioural data and signals using advanced machine learning techniques
• Build complex statistical models that learn from and scale to petabytes of data.
• Provide analytical thought leadership and staying current on developments in data exploration and the application of data science
• Provide thought leadership and/or broad industry knowledge across multiple business / functional areas or across the enterprise
• Apply industry / analytical expertise to provide innovative and sound solutions that increase business results and/or minimizes risk
• Identify new analytical trends / data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and create analytical models that help answer impactful business questions
• Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured.
• Employ techniques and theories drawn on many fields within the broad areas of mathematics and statistics
• Be comfortable working through ambiguity and help make informed decisions
• Work in a highly interactive, team-oriented environment with Big Data developers and Visualization experts
• Act as a lead or top technical data scientist and work closely with senior leadership on significant data and analytics projects
• Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest
• Develop creative and innovative data driven analytical solutions to optimize operational efficiencies and leverage synergies to support overall business strategies
• Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
• Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils)

BREADTH & DEPTH

• Deliver advanced analytical capabilities above and beyond existing methods
• Exceptionally lead and run analytical projects autonomously and create and effectively deliver analytical presentations for executive audiences/stakeholders
• Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques

EXPERIENCE & EDUCATION

• Undergraduate degree or technical certificate
• 8+ years of relevant experience
• Comfortable and experienced with advanced coding (Python, pyspark preferred)

Role: Data Engineer

Relevant Experience: Minimum 3 Years Experience in Data Engineering

Work Location: Hampshire Road

Benefits:

Attractive Fixed Basic Salary

Performance Bonus

Office Hours Job

Great Learning opportunity

Health Insurance

12 days AL, 14 days MC & 60 days Hospitalization leave

Job Description:

AWS, Snowflake, backend development experience including language like Python, Java, Dot Net, Linux

• Data Processing: Develop and maintain data pipelines using Py-Spark to process large datasets efficiently.
• Data Warehousing: Utilize Snowflake for data storage, transformation, and optimization, ensuring data quality and integrity.
• Workflow Orchestration: Implement and manage data workflows using Apache Airflow to automate ETL processes and scheduling.
• Cloud Environment: knowledge of cloud resources for scalable and secure data maintenance.
• Troubleshooting: Identify and resolve data-related issues promptly to ensure smooth operations.