Jobscope

• Providing frontline customer service and handle counter registrations, scheduling appointments
• Collection of payments and basic admin duties
• Liaise with patients and family members and educate on medical follow up appointments
• Assist medical professionals in daily clinic operations
• Other Ad-hoc duties

Requirements

• Min N/O/A Levels or Diploma in any studies are encouraged to apply
• Customer service experience required
• Willing to walk and stand for long hours, dealing with patients in close contacts and comfortable to work in a hospital setting
• Office hours/ shift hours available
• Able to commence work immediately / short notice

All qualified applicants, please send in your resume to:

[email protected]

Tricia Celestine Goh (R1981653)

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

Love meeting people and enjoy working in a fast pace environment in a team based culture?
Yes! We are looking for YOU!

At Recruit Express, we strongly believe very much in teamwork. Our highly positive, collaborative and nurturing environment has often been cited as the reason that our employees enjoy coming to work everyday. All newcomers receive comprehensive training and mentoring. In fact, we are one of the few companies which welcome people without relevant experience. It is not your experience but your attitude that we are looking for!

So come join us and be part of our dynamic team! We believe very much in growing our people so you can look forward to abundant opportunities for personal and professional development. If you are keen to be part of our success, please DM me or email me at [email protected]

Job Scope

• Manage the full 360 Recruitment cycle
• Source and advertise job applicants eg. Job advertisement, social media platforms, applicants referral
• Pitch suitable positions which matches candidates’ expectation and qualifications
• Screen, shortlist and interview job candidates for the position(s)
• Effectively follow-up on job candidates & internal stakeholders, leading up to contract offer
• Actively participate in salary negotiations and contract signing
• Assist with HR services
• Establish partnerships and work with hiring managers from SMEs/MNCs to provide the best staffing service & follow-ups
• Provide consultative advice to both clients/candidates on existing MOM guidelines & best hiring practices
• Conduct Business Visits at their corporate office to meet hiring managers & understand their business and hiring needs
• Exercise flexibility and creativity in handling recruitment – this is the people business!
• Work effectively in our team-based & collaborative environment to deliver top quality supply of talents and candidates.

Requirements

• Min. Degree in any major
• Training is provided
• Love meeting people and energetic nature
• Enjoy working in a fast pace environment in a team based culture.

All qualified applicants, please send in your resume to:

[email protected]

Tricia Celestine Goh (R1981653)

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

Job Description:

• To work with sophisticated audience comprised of surgeons and healthcare professionals.

• To communicate with customer accounts regarding a variety of topics, including product updates, changes to product portfolio, and educational programs

• To Identify the needs of new prospects and develop appropriate responses

• To Cross-sell additional products or manage new product introductions as they become available

• To work with the sales team by receiving coaching, training or mentoring; transfer knowledge to peer Sales Representatives and to Sales Associates when needed.

• To Maintain training in product features/benefits, and other critical business applications

• To Collect competitive data and remain current on industry, customer, and competitive trend

• To Participate in professional association meetings outside of regular business hours, as required

Requirements:

• Must possess at least Degree/Nursing/Lifescience

• Good analytical and questioning skills coupled with ability to develop and implement sales strategies

• Strong in interpersonal, communication and influencing skills

• Able to work independently with minimum supervision

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Job Descriptions:

• Order processing
• To do GR and GI in SAP and WMS
• Liaising and coordinating with customers
• Performing daily/monthly/quarterly cycle count
• Any other ad-hoc duties

Requirements:

• Proficient in Microsoft Office tools
• Training provided

Proposal Engineer

(Industrial, Commercial or Data-Centre Projects)

• Working day: Monday - Friday (8am - 5.45pm)
• Salary: S$ 3,000 - 6,000
• Office Location: Woodlands

Duties & Responsibilities:

Cost Estimation:
Prepare detailed cost estimates for MEP (Mechanical, Electrical, Plumbing) projects;
Analyze and evaluate project specifications and drawings to determine the scope of work and associated costs;

Quantity Take-off
Perform quantity take-offs for materials and labour required for MEP installations;
Collaborate with project teams to ensure accurate and comprehensive quantity assessments;

Budgeting and Cost-control
Develop and manage project budgets, ensuring cost control throughout the project lifecycle;
Monitor and report on cost variations, providing recommendations for cost-saving measures;

Tendering and Procurement
Assist in the preparation of tender documents and participate in the procurement process;
Evaluate subcontractor and supplier bids, ensuring competitiveness and adherence to project requirements;

Contract Administration
Administer and manage contracts related to MEP works, including variations and claims;
Monitor contractual compliance and resolve any disputes that may arise during the project;

Value Engineering
Identify opportunities for value engineering to optimize project costs without compromising quality;
Work closely with design and construction teams to implement value engineering recommendations;

Risk Management
Identify and assess potential risks related to cost and contract issues;
Develop strategies to mitigate risks and ensure project success;

Cost Reporting
Generate regular cost reports to keep stakeholders informed of project financial status;
Provide analysis and recommendations based on cost reporting data;

Collaboration

Collaborate with architects, engineers, contractors, and other project stakeholders;
Participate in project meetings and contribute to the overall success of the project;

Regulatory Compliance
Ensure compliance with relevant regulations and standards in MEP construction;
Stay updated on industry trends, codes, and best practices;

Ad-Hoc
Undertake cost analysis for repair and maintenance project work;
Other Ad-hoc duties as assigned by the HOD.

Qualifications & Experience:

• Degree / Diploma in Quantity Surveying / Engineering or equivalent from a recognized University.
• Minimum 5 years of related working experiences in Industrial, Commercial or Data-Centre Projects.
• Good working knowledge in Mechanical and Electrical.

Apply now for Interview arrangement

Daniel Wong | Senior Consultant | Reg No: R2095781

The Supreme HR Advisory Pte Ltd | EA No: 14C7279

The Opportunity

• Adecco is partnering our client, one of the biggest Tech MNCs
• We are looking for a System and Data Project Management Specialist
• The role will start out as a contract
• Candidates who are immediately available/ able to start work within short notice will be preferred

The Talent

• Bachelor's Degree preferably Engineering, Business Administration, Information Systems/Technology or related field
• Macro or Visual Basic skill
• 1-3 years of experience in Project/Data Management, and System development related
• Project management experience - relevant certificate is a plus (eg. PMP/CAPM)
• Proficient in Microsoft Office Suite, especially Excel
• Hands-on experience with system implementations
• Strong data analytic skills with large data systems

Job Description

• Lead System Enhancement Projects, collaborate with IT teams and stakeholders to define requirements and drive the implementation.
• Monitor project progress, identify risks, and take corrective actions on necessary
• Ensure timely delivery of project milestones and adhere to quality standards
• Identifying and resolving project risks and issues
• Implementing project management best practices and methodologies
• Provide regular updates on project progress and address any issues or risks identified
• Conduct data analysis and generate KPI reports to provide insights
• Prepare, monitor and analyze KPI to identify areas for improvement
• Collaborate with cross-functional teams to align KPI activities with business goals
• Support the implementation of new technologies and systems

Next Step

• Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package
• Send your resume to [email protected]
• All shortlisted candidates will be contacted

Liu XinYang

EA Licence Number: 91C2918

Personnel Registration Number: R1988872

Job Description:

• Collaborate with other developers and engineers to design, build, and maintain applications.
• Develop end-to-end specifications for solution components.
• Perform testing and implementation of the solution.
• Troubleshoot software issues and participate in impact analysis of encountered issues.
• Generate relevant documentations, reports etc.
• Contribute to continuous improvement of software development best practices.
• Keeping up-to-date with industry trends and technology developments.

Requirements:

• Degree in Computing/ Computer Science/ Computer Engineering/ Info Systems / EEE or equivalent
• Entry level candidates with good learning attitude and relevant experience can be considered.
• Familiar to full-stack development and understand concepts of software engineering.
• Knowledge of Agile Development methodology.
• Knowledge of basic coding languages such as C++, Javascript, HTML5 and Java
• Basic programming experience.
• Knowledge of databases (SQL / NoSQL).
• Comfortable using AngularJS, NodeJS, ReactJS and other common frameworks to develop software for various platform.
• Ability to learn new software and technologies quickly.
• Ability to follow instructions and work in a team environment.
• Good team player with critical thinking, analytical and creative problem-solving skills.
• Detail-oriented.
• Candidates with more professional/complexity of experience can be considered for the senior role

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/eX39z4hd

• Strong support from management to invest in data
• Exposure to latest technology - Microsoft Azure Data

About the company
Our Client is an established company within their industry. With rapid expansion and technology investment plan, they are now looking for an Senior Data Engineer / Data Engineering ( Azure Data ) to join their team.

About the job

Your role involves:

• Establish and manage data pipelines for the transformation and loading of data from the data lake into Data Warehouse models.
• Collaborate with various global data sources to supply data to our Azure Cloud-based Global Data Analytics Platform.
• Develop, construct, and maintain Data Warehouse models to meet the data analytics needs of Company's global, regional, and local business units.
• Delving into data sets to uncover insights, pinpointing features and discrepancies, and effectively communicating findings to stakeholders.
• Stay updated on emerging trends and technologies in data engineering and recommend improvements to existing systems

Skills and experience required

As a successful applicant, you will be have at least 4 years of experience in azure data.

Proven track record in Azure Data Factory, Azure Synapse Analytics/Data Warehouse, Azure Analysis Services and Python will be highly preferred.

Whats on offer
This is an excellent opportunity to join an established company with high investment in data engineering. You will get the opportunity to work in a high performing team with exposure to latest technology.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/eX39z4hd (EA: 94C3609/ R1219669)

Information:

1. Basic Salary: $2,600 - $3,500 depend on experience ;
2. Polytechnic graduate：$2,600 ; ITE guaduate: $2,400 - $2,500
3. Attendance: $40
4. Morning Shift: 7am - 3pm; Afternoon Shift: 3pm - 11pm ($8.50/day); Night Shift: 11pm - 7am ($14/day)
5. Company transport at various location in the west

Responsibilities:

• Operate and monitor machinery on the assembly line to ensure smooth operation
• Conduct routine maintenance tasks, identify and address any issues with machine operation
• Troubleshoot & repair production machines for mechanism and electrical issues to minimise downtime
• Inspections to identify potential malfunctions and perform preventive maintenance
• Work cross-functionally to identify areas for improvement in quality, productivity and cost reduction
• Develop/modifications to equipment and processes to enhance efficiency and performance
• Plan and execute improvement projects from conception to completion
• Evaluate existing processes and practices to identify opportunities for optimisation
• Propose solutions to improve operational efficiency and product quality
• Develop and update programming for automated production equipment to optimise performance
• Provide training to operators on the operation and maintenance of automated equipment as necessary
• Conduct washing to remove contaminants from ball bearings, ensure adherence to quality standards
• Perform test to assess quality and integrity of ball bearings, documenting results accurately
• Visual inspections to identify defects or abnormalities in the manufacturing process
• Compile audit work papers and documentation to ensure completeness and accuracy
• Assist in the development of audit protocols and procedures
• Perform other administrative duties as assigned
• Adhere to all safety protocols and regulations to ensure a safe working environment
• Maintain cleanliness and organisation in work areas to promote efficiency and safety
• Review/recommend changes on procedures for work environment and safety aspects (E.g. IATF 16949, ISO14001, Safety Management Systems, etc.)
• Attend meetings, reviews, discussion and coordinate with Superior to achieve target and yield rate.

Requirements:

• ITE Nitec/Higher Nitec/Polytechnic diploma in Mechanical/Electrical/Mechatronic engineering
• Entry level are welcome to apply
• Comfortable wearing jumpsuit and cleanroom environment
• Able to commit monthly rotation shift work

Interested applicants, send in your updated resume by clicking “Apply Now”

Michelle Koh

EA License No.: 23C1894

EA Personnel No.: R1656105

Company Profile:

Our client company is a leading integrated security solutions provider based in Singapore. Established in the early 20th century, it has evolved into a comprehensive security services company, focusing on innovation and technology.

Company benefits:

• Bonus: $2500 (Untrained) $3000 (Trained) $6000 (SSO and above)
• Stable career with job progression
• Medical, dental, and leave benefits

Job Responsibilities:

• Incident Response, Manage Security & Safety Systems
• Prevent unauthorized entry into the premises
• Monitor CCTV
• Patrolling and clocking
• Access control duties

Salary: $2540 - $3500 (depending on experience)

Working Locations: Islandwide

Working Requirements:

• Be flexible to work both day and night shifts
• Require 3 N Level Credits and above qualifications
• 12 hours shift (4 days work 1 day off, 3 days work 1 day off)

Interested applicants, Please submit your updated resume in MS Words format by using the APPLY NOW BUTTON or whatsapp to wa.me/6587853279

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.

EA Personnel Name: TOH SHIQI

EA Personnel No: R23119083

EA License No: 21C0845

Company Profile:

Our client company is a leading integrated security solutions provider based in Singapore. Established in the early 20th century, it has evolved into a comprehensive security services company, focusing on innovation and technology.

Company benefits:

• $5000 Bonus
• Stable career with job progression
• Medical, dental, and leave benefits

Job Responsibilities:

• Screening of passengers at designated zones
• Manual bag checks
• Usage of security screening equipment for screening purposes
• X-ray screening of check in luggage's
• Any other security related roles at Airport

Gross Salary: Up to $2635

Working Locations: Changi Airport

Working Requirements:

• Be flexible to work both day and night shifts
• Require 1 N Level/ 1 O Level/ WPLN 3 x Level 4 and above qualifications
• 12 hours shift (4 days work 2 days off, 5 days work 1 day off)

Interested applicants, Please submit your updated resume in MS Words format by using the APPLY NOW BUTTON or whatsapp to wa.me/6587853279

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.

EA Personnel Name: TOH SHIQI

EA Personnel No: R23119083

EA License No: 21C0845

Jobscope

• Operate equipment, clean, assemble and maintain the cleanliness of the equipment.
• Maintain the documentation of operations in accordance with cGMP requirement.
• Operate the equipment in accordance with SOP / batch document.
• Perform online monitoring and check through the batch
• Complete all relevant documentation required for packing, maintenance and cleaning of equipment in the work area.
• Maintain the cleanliness of work area to ensure cGMP compliance.
• Perform all duties required to meet the schedule.
• Check dispensed input packaging materials and product details against batch document.
• Co-ordination with Engineering for break down rectification of Packing equipment.
• Participate in investigation of process deviation, cGMP and all other compliance related matters
• Ensure compliance to GxP / Safety / Quality policies.

Requirements

• Min NITEC education or Higher NITEC/ Diploma in Chemical Processing/ Chemical Technology/ Biotechnology / Biomedical / Mechanical / Mechatronics Engineering or relevant disciplines
• 2-5 years of manufacturing experience in Pharmaceutical, Chemical or related industries.
• Fresh candidates are welcome to apply too as training will be provided
• Good understanding of safe working practices and cGMP.

All qualified applicants, please send in your resume to:

[email protected]

Tricia Celestine Goh (R1981653)

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

Company Overview:

Traveloka is a leading technology company that provides a one-stop travel and lifestyle platform for customers in Southeast Asia. Our platform offers a wide range of travel-related services, including flight and hotel bookings, activities, attractions, and more. With a mission to empower travelers with seamless experiences, we're committed to pushing the boundaries of technology and innovation in the travel industry.

It's fun to work in a company where people truly BELIEVE in what they're doing!

About the Role:

As a Data Manager, you will spearhead the data group dedicated to supporting the commercial teams for our Travel business. Your expertise will drive strategic insights, enhance data-driven decision-making, and optimize commercial performance. This role requires a blend of technical prowess, leadership, and a deep understanding of supply commercial optimization.

Responsibilities:

• Led a team of data analysts and engineers, ensuring they have the data repository, tools, resources, and training to deliver high-quality data analysis and reporting.
• Partner with commercial stakeholders (market managers, ) to understand their business needs and translate them into actionable data requests.
• Develop and implement a data strategy for the commercial team that is aligned with the overall company objectives.
• Design, build, and maintain data pipelines and dashboards to track key performance indicators (KPIs) and measure the effectiveness of commercial campaigns and treatments
• Conduct in-depth data analysis to identify trends, opportunities, and areas for improvement in hotel and flight acquisition, conversion, and revenue.
• Communicate complex data insights in a clear, concise, and actionable way to both technical and non-technical audiences
• Stay up-to-date on the latest data science trends and technologies and implement them to improve data analysis capabilities.
• Foster a collaborative and data-driven culture within the commercial team.

Requirements (Education, Technical Skills, Relevant Experiences)

• Minimum 7+ years of experience in a data leadership role, preferably within the travel or supply chain industry.
• Proven experience in managing and mentoring data analysts.
• Strong understanding of data analysis methodologies, including SQL, statistics, and machine learning (a plus).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience working with data pipelines and cloud platforms (e.g., GCP) (a plus).
• Excellent communication and presentation skills, with the ability to translate complex data insights into clear and actionable recommendations for non-technical audiences.
• Strong leadership skills, with the ability to motivate and inspire a team.
• Strategic thinking and problem-solving skills.
• A passion for the travel industry and a deep understanding of online travel agent (OTA) business models (a plus).

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

JD:

Model Development and Analysis:

· Dive into real-world data to design and develop machine learning models for credit scoring, risk assessment, fraud detection, and more

· Support the calibration of model parameters and the optimisation of business logic

· Ensure models provide meaningful, actionable insights that help drive key business decisions

Data Exploration and Insights:

· Analyse datasets to identify trends, patterns and opportunities for improving existing models, scorecards, and processes

· Collaborate with the team to create automated reports and dashboards that track how models are performing and provide valuable insights to stakeholders

Model Infrastructure and Automation:

· Maintain and improve the infrastructure supporting the development, deployment, and production lifecycle of machine learning models

· Participate in automating workflows for tasks like model training, validation, and monitoring

Requirements

· 1-3 years of experience in data science or related fields.

· Proven experience as a model developer in machine learning and statistical analysis projects

· Familiarity with programming languages like Python and SQL

· Interest and experience in fintech and credit modelling is a bonus

Others:

· Strong analytical mindset with attention to detail and a problem-solving attitude

· Eager to collaborate and grow in a team that values proactivity, creativity, and continuous learning

Great communication skills, both for discussing technical solutions and presenting insights to non-technical stakeholders

Overall Function

Reporting to the Head of Data Centre, the incumbent will primarily be involved in the day-to-day operations of the NETS Data Centre.

Key Responsibilities

• Perform day-to-day data centre/ computer operations (batch processing, printing reports, systems backup, tape management, server reboots, facilities and infrastructure checks in the data centre)
• Pro-actively monitor the data centre systems’ uptime and connectivity to ensure system availability to prevent any down time, and coordinate problem resolution with vendor or second level support groups.
• To log and submit problem management record and assign to appropriate party
• Ensure physical security procedures are followed strictly
• Performs escorting of personnel to and fro the Data Centres for both Kim Chuan & Bedok

Requirements

• Minimum Nitec/ Higher Nitec/ Diploma in Computer Science/ Information Technology or equivalent
• Able to perform 24-hours rotational shifts (3 shifts)
• Strong initiative and able to work independently
• Good knowledge with Windows server / UNIX / AIX
• Minimum 1-2 years of relevant working experience in a Data Centre environment

Responsibilities

• Perform statistical analyses and derive business insights for Trading, Execution, and Sales at finance Markets.
• Develop quantitative models for Market Making, Order Execution, and Delta One desks.
• Build data pipelines and dashboards associated to distinct use cases on the Trading floor.
• Ensure data quality, including mining, cleansing, and analyzing large datasets for use-case development.
• Develop well-documented code, mainly in Python, for optimizing and automating trading flow.
• Assist with the business development and vision of Markets Data Analytics, including liaising with external vendors, scheduling and monitoring teamwork, preparing reports, and building business presentations.
• Assist with the creation of software applications, user interfaces, APIs, and automated reports for business users.
• Present insights associated to business results and Data-Science methodologies to key stakeholders.
• Assist, when needed, with the development of Data Analytics platform, including Databases and Data Lake.
• Collaborate with Data Scientists, Developers, and Traders to jointly meet deadlines.

Qualifications & Skills

• Master or PhD in a technical field, such as Statistics, Mathematics, Physics, Engineering, Economics, or alike.
• 4+ years of work experience as a Quantitative Analyst or Data Analyst in a financial firm.
• Advanced coding skills in Python.
• Advanced knowledge of Power BI, Tableau, and VBA / Power Query.
• Proven experience in Quantitative Trading and/or Algorithmic Trading.
• Knowledge of Machine Learning methodologies, including Clustering techniques, Factor Modelling, Reinforcement Learning, and Advanced Statistics.
• Certain knowledge of Mathematical Finance and Financial Markets, for example Algorithmic Trading, Derivative Pricing, Portfolio and Risk Management, Dynamic Programming, and Numerical Methods.
• Knowledge of Scrum methodology, Agile framework, and Jira.
• Knowledge of Git, SQL, Spark, and Dash (or similar).
• Familiarity with cloud services such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake.
• Experience with Business Development is a plus.
• Experience with MLOps tools (e.g. Dataiku or similar) and with programming languages such us R and Scala is a plus.
• Collaborative, team player, open minded, and easy to work with.
• Proficient presentation skills and high attention to detail.
• Able to explain technical results to non-technical audiences.

Key Responsibilities:

Team Leadership:

1. Oversee and manage a team of field service technicians, ensuring they are well-trained, motivated, and equipped to deliver high-quality service.
2. Provide guidance, support, and mentorship to team members.
3. Assign tasks and monitor progress to ensure deadlines are met.
4. Evaluate team performance and provide feedback。

Technical Leadership and Training:

1. Develop and deliver technical training programs for junior engineers and ongoing professional development for existing engineers.
2. Stay up-to-date with industry trends and technological advancements, including servers from Inspur, Dell, HP, Lenovo, etc.
3. Assist in the development and implementation of technical standards and procedures.

Operations Management:

1. Coordinate field service activities, including scheduling, dispatching, and resource allocation.
2. Monitor and track key performance indicators (KPIs) to measure team efficiency and effectiveness.
3. Identify and implement process improvements to optimize field service operations.
4. Manage inventory of parts and equipment. oEnsure compliance with safety regulations and company policies.

Customer Relationship Management:

1. Build and maintain positive relationships with customers.
2. Address customer concerns and resolve issues promptly.
3. Ensure customer satisfaction through excellent service delivery.

Backup and Support:

1. Provide coverage for team members in case of emergencies or urgent leave.
2. Handle complex and challenging technical issues that require advanced troubleshooting.

Technical Proficiency:

1. Demonstrate proficiency in Linux-based commands and scripting.
2. Collaborate with project managers on deployment projects, providing technical expertise and support.

Model Development and Deployment:

· Design, build, and deploy machine learning models for credit scoring, risk assessment, fraud detection, and customer segmentation.

· Calibrate model parameters and optimise existing business logic and parameters

· Ensure models are robust, interpretable, and provide actionable insights.

Data Analysis and Insights:

· Conduct thorough data analysis to identify trends, patterns, and opportunities to enhance existing scorecards and processes.

· Develop and maintain dashboards and reports to track model key performance metrics and provide actionable insights to stakeholders.

Model Infrastructure and MLOps:

· Develop and maintain model infrastructure to support the lifecycle of machine learning models from development to production.

· Automate workflows for model training, validation, deployment, testing and monitoring to ensure efficiency and reliability.

Mentorship and Leadership:

· Mentor and provide guidance to junior data scientists and analysts in the team.

· Lead data science projects from inception to completion, ensuring timely delivery and alignment with business goals.

Requirements:

· 5+ years of experience in data science, preferably within the fintech or financial services industry.

· Proven experience in developing and deploying machine learning models in a production environment.

· Strong background in statistical analysis and machine learning.

· Expert in credit modelling and risk management would be an added advantage

• Processing vendor/visitor DC security clearance.
• Escort vendor/visitor into DC.
• Escalation and attending to alert notification (after office hours).
• Support monthly, quarterly, yearly maintenance and Building management maintenance, E.g. power shutdown, aircon, UPS.
• Support and coordinate for hardware disposal, E.g. Harddisk, media, backup tapes.
• Load/Unload backup tapes and prepare to send off-site.
• Maintain and update hardware inventory and rack system.
• Conduct daily checks to ensure DC temperature at acceptable level, unusual blinking light and sound generated from devices.
• Raise incident in ITSM and monitor till closure.
• Prepare daily/monthly report to customer.

Mandatory Skill: Enterprise Monitoring

Work Location: Sin Ming

Shift Work: Yes, 12 Hours shift (8.00AM to 8.00PM or 8.00PM to 8.00AM)

Rotating shift – work 2 days and 2 days off

Responsibilities

. Report to Academic Head (Higher Education)

· Prepare and develop teaching and learning materials according to module descriptor

· Develop lesson plan and create assessment brief

· Complete marking of all assessment papers and to moderate academic results

· Conduct lesson to be delivered face-to-face

· Adopt the use of Information Technology tools to enhance learning by students

· Regular feedback to Academic Head regarding students’ academic performance and behaviour

Requirements:

· Possess Master’s or Doctorate Degrees in IT, Computing, Data Science and AI

· With at least 5 years of relevant working or teaching experience in data science field

· Possess strong interpersonal and communications skills, passionate in sharing knowledge and interacting with students

· Strong sense of professionalism and commitment in completing assigned tasks efficiently and in a timely manner

Overview

If you wish to work for an up-and-coming deeptech company, this could be your opportunity.

AgileAlgo stands for Agility-in-Algorithm. We seek to address the problem of insufficient data scientists and engineers to support AI work for small to mid size companies. We will harness deeptech in the space of Software Engineering.

We focus on Graph Neural Networks, a deeper form of Machine Learning, to develop our platform. We have created a natural language AI code generator that support self-serve AI to end customers. This allows our business to scale through the self-serve approach. Our platform is like a Jira + Github for AI Codes. It is fully integrated from written requirements to codes, generativeAI style. We envision to use AI to create AI, System to create System, to significantly improve the way software is being developed.

We are seeking internship candidates to join a like-minded highly talented team to create and operate the world 1st Virtual System Implementer Platform.

What we expect from you

For this role, the intern must be highly skilled in Python

• You will pick up Knowledge Graph Data Science
• It is advantageous to have understanding of other AI techniques including BigData Analytics, LLM and Computer Vision etc.
• You will assist to create and extend the company’s platform and AI engines
• You would have utilized established development tools, guidelines and conventions for your projects
• Your coding always produced clean and testable outcomes and are well documented
• You must be a quick learner to investigate and develop skills in new technologies

Your education and personal skills

• Studying for a Bachelor’s Degree in Mathematics or a related field
• Effective communication with non-technical audiences

Why now?

• The time is ripe to disrupt the software engineering space. AI can help revolutionise this. We will lead the way.
• We will be a listed company very soon.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

• Lead and grow the data science practice in Mediacorp, including guiding and mentoring a team of data scientists
• Analyse and translate large amounts of data into meaningful, actionable insights for commercial purposes by applying various machine-learning and deep learning techniques
• Lead, design and implement quantitative analytical models, including forecasting and predictive models, identity graphs, recommendations and various performance optimization initiatives to enhance business outcomes
• Establish internal benchmarks and best practices in data science approaches
• Support product development effort including understanding business needs, documenting data and data integration requirements, and resolving conflicting business/data architecture rules.
• Become an internal authority on Mediacorp's data tools and data science output
• Support ad-hoc data science strategic initiatives

• PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science or related field
• Minimum 10 years hands-on experience in machine learning or advanced analytics, including designing, developing and deploying data science models
• Relevant team management experience will be essential
• Strong technical capabilities. Proven expertise in developing and implementing a full range of analytical techniques to address commercial challenges
• Proficiency in at least one statistical analysis tool
• Proficiency in at least one programming language (preferably Java, C++, Python)
• Critical thinking and problem-solving skills are essential for this role
• Strong written and spoken communication skills
• Able to present findings to internal and external business stakeholders confidently
• Basic knowledge of data engineering principles and architecture

• Position : Admin Assistant (Customer Service/Data Entry)
• Location : Tuas - daily company transport to/from Boon Lay and Jurong East MRT
• Working hours : Monday - Friday 9.00am to 6:00pm
• Salary (commensurate with experience) : Up to $3200 + AWS + 14 Days Annual Leave + Variable Bonus + Mobile allowance
• Duration : Permanent
• Industry :Concrete Precast

Main Responsibilities:

• Work as part of admin team to ensure customers the best possible experience on all fronts of the company.
• Check all POs and DOs from internal and external parties to ensure items, quantity, and amount are correct.
• Data entry of information
• Filing, checking and verify documents.
• Office admin including handling phone calls.
• Additional administrative duties when assigned.

Requirements:

• Proficient in software applications, particularly Microsoft Office
• Good communication skills.
• 1-2 years relevant experience preferred.
• well-organized, meticulous and able to work in a fast-paced environment
• Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only.

Email to [email protected]

Do visit Search Personnel Pte Ltd for more job listings.

***We DO NOT charge our candidates any referral fee nor bind them with any contract.***

Joie Chang

Deputy Consulting Director (APAC)

Reg no.: R2090601 | EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

Job Description

• Work with stakeholders including customers, partners and colleagues 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.

Technical Knowledge/Skills/Competencies

• Technical expertise in:
  • Relational/non-relational/NoSQL database and enterprise data warehouse/mart;
  • Big data technologies e.g. Hadoop, Spark, Hive, HBase etc.
  • Data ingestion technologies e.g. Flume, Kafka, NiFi etc. and
  • Scripting, programming and software development using e.g. Java, C/C++, Python, R, MATLAB, Scala, SQL etc. for Windows or Linux environments.
• Experience in master data management, data governance, data lifecycle management etc
• Experience in designing, documenting, implementing and supporting data management solutions
• Experience in using software engineering best practices in development, programming, testing, version control etc.
• Knowledge of data privacy and security assurance
• Knowledge of machine learning, computer vision and large languagemodels will be advantageous.

Soft Skills

• Excellent written and verbal communications skills
• Highly organised, motivated, independent and resourceful team player
• Strong analytical thinking, interpersonal and problem-solving skills and
• Able 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)

Responsibilities

• Creation and maintenance of static data in Treasury systems. Static data includes set up of customer records, settlement instruction and instruments.
• Ensure team Service Level Agreements are met and all requests are completed accurately and timely
• Ensure a continued and effective on-going daily process when covering the duties of co-partner
• Support global entities’ static requests
• Check and prepare the section’s daily reports
• Attend to internal and external customers' queries
• Drives process improvement and system automation
• Ensure compliance to Department and Bank’s operational risk and regulatory requirements.

Skills/Requirement

· Good knowledge and understanding in treasury products or processing

· Good knowledge of MS Office Suite, including proficiency in Excel

· Meticulous and accurate in work

· Ability to focus on high quality work while under pressure

· At least 1 year of relevant experience in static data management preferred

· May need to work on weekends / SG public holidays (where required)

· Good knowledge of programming skills especially on C++