The Head of Hub Analytics is a key member of the Visa Analytics and Consulting (VCA) team. In this role, you will be responsible for leading a high performing team of data scientists and be accountable for the design, development, and implementation of data solutions for key Visa clients. You will collaborate with VCA, Business, and Technology teams across the organization to implement solutions to drive business performance. This role reports to the Head of Data Science Asia Pacific and based in Visa Singapore office.

We are seeking a skilled and motivated Data Engineer with expertise in Google Cloud Platform tools such as BigQuery, Composer, Dataproc, and ETL processes. The ideal candidate will have a strong background in designing, implementing, and optimizing data pipelines and workflows. You will play a key role in ensuring our data infrastructure is scalable, efficient, and reliable to support our data-driven decision-making processes.

Key Responsibilities:

• Design and Development:
• Develop, construct, test, and maintain scalable data pipelines using Big Query, Composer, Dataproc, and other GCP tools.
• Design and implement ETL processes to extract, transform, and load data from various sources into the data warehouse.
• Ensure the architecture supports business requirements and allows for easy reporting and analysis.
• Data Management:
• Monitor and manage data workflows and pipelines to ensure data quality, integrity, and reliability.
• Perform data profiling and analysis to identify and address data quality issues.
• Optimization and Performance:
• Optimize ETL processes and data pipeline performance to handle large-scale data efficiently.
• Implement best practices for data governance, security, and compliance.
• Collaboration
• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Troubleshooting and Support:
• Identify, diagnose, and resolve data-related issues and discrepancies.
• Provide support and troubleshooting for data pipelines and ETL processes.

Minimum of 5 years of experience as a Data Engineer or in a similar role.

Proven experience with Google Cloud Platform, specifically Big Query, Composer, Dataproc, and GCP Tools.

Strong experience with ETL processes and tools.

As the Site Consultant for a Global/Regional Data Center I ensure effective and timely coordination of CI Infrastructure activities and overall management of the specified sites by applying the GDC/RDC processes, services and tools.

Consulting

• Coordination of customer projects/activities within the GDC/RDC
• Interface to customer & order teams (first point of contact) to fulfill requirements
• Supports internal coordination (incl. prisonization) of timelines & task for HW installations
• Consults and documents the datacenter service scope
• Consults other PSOs teams and solutions teams as well as the datacenter teams in their activities in the GDC/RDC
• ACI Rollout Coordination

Data Center Management

• Integrate CI standards & products into the GDC/RDC
• Build and maintain a relationship with relevant stakeholders and customer for the GDC/RDC
• Define, report and improve relevant KPIs
• Coordinates quality management activities
• Supports business planning in alignment with controlling

Processes, Tools & Standardization

• International standardization and global alignment of processes
• Coordination of global teams to improve service and ensures local and international knowledge transfer
• Design, implement and documents new standards and processes for the service
• Coordinate tool landscape and implements requirements
• Supports business planning in alignment with controlling

Vendor / ESP Management

• First point of contact for service management
• Service package maintenance
• Financial planning & tracking
• Concept creation for upcoming requirements

Logistic Management

• Supports remarketing and logistics processes

Other Tasks

• Coordinate audits
• Planning & Coordination of Projects and new IT-Rooms and/or buildings
• Supports other teams PSO in their audits for datacenter related topics
• Required knowledge competencies and attributes
• Skill/Competency Cluster: Consulting Knowledge

We are looking for talented Data Engineers, who will join our Data Team and help us build state-of-the-art data engineering capabilities powering the future of our car sharing platform.

BlueSG is the first point to point car sharing service in Singapore. We are optimistic about the future of car sharing and EV and have exciting growth plans in Singapore and beyond. BlueSG strongly believes in a data-driven approach to our business, actively using data to optimize our operations, make critical business decisions and understand what is best for our customers. Data team plays a critical role in this which you will be a part of.

Roles and Responsibilities

● Collaborate with DevOps and Business Intelligence teams to establish a common data processing and analytics platform and best practices.

● Work closely with data scientists and software engineers to support the analysis of data, and the development and validation of models.

● Design and implement data storage solutions to ensure data quality, availability, and scalability.

● Monitor the performance of the data infrastructure and implement optimizations to improve efficiency and reduce costs.

● Participate in technical discussions across the team through code reviews, RFC, or architecture review sessions.

Requirements

● At least 2 years of experience working as a data engineer or similar.

● Good understanding of Agile and DevOps practices: version control, CI/CD, Infrastructure-as-Code, containerization, observability/monitoring.

● Experience building data infrastructure to address the needs of business and data teams. Strong knowledge of data architecture, data modeling, and data warehousing.

● Deep familiarity with data processing systems such as Airflow, Dagster, Flyte, Spark, DBT, or similar and data cataloging tools such as Atlas, Amundsen, DataHub, or similar.

● Deep familiarity with SQL (PostgreSQL preferred) and NoSQL databases (Redis, Elasticsearch preferred).

● We use AWS, so familiarity with its data analytics services and databases, e.g., Redshift, Athena, Glue, EMR, etc. Also, familiarity with data platforms such as Sagemaker, Dataiku, Databricks, Datarobot, or similar.

● Experience with data visualization and reporting tools like Metabase, Tableau, PowerBI, or Looker.

Preferred Qualifications

● Hands-on experience supporting high-traffic consumer apps.

● Experience with real-time data processing using Kafka, Flink, or similar tools.

● Data science, MLOps, or related education or work experience.

Roles and Responsibilities

● Design, develop and maintain models (machine learning / simulation) and optimization methods to support business and operational processes.

● Develop the pipelines to train, validate and deploy these models across various environments.

● Design product experiments and interpret the results yielding impactful conclusions.

● Perform statistical data analysis & visualization to find answers and new insights to important business questions.

● Participate in technical discussions across the team through code reviews, RFC or architecture review sessions.

Requirements

● At least 2 years of experience working as a Data Scientist or an advanced (Masters, PhD) degree in a related field (computer science, statistics / mathematics, operations research, economics, etc).

● Strong knowledge of data science fundamentals and statistics, with experience in data analysis, modelling (machine learning / simulation)and optimization methods such as linear programming.

● Good understanding of experimental design and methodologies such as A/B testing or multi-arm bandits.

● Experience with modern software development practices: version control, refactoring, unit tests.

● Proficient in Python or R, SQL (PostgreSQL preferred).

● Experience applying data science in end-to-end production use cases: from data cleaning, feature engineering through to model training and inference.

Preferred qualifications

● Experience with geospatial analysis.

● Experience with real-time inference.

● Experience with time series forecasting, pricing strategies.

● Hands-on experience with ride-hailing/car-sharing use cases, consumer apps, or adtech/martech use cases.

● Familiar with AWS data analytics services.

● Experience with FastAPI (Python), Flask (Python), or similar.

● Experience with Spark.

● Experience deploying models to production.

SHIELD is a device-first risk AI platform that helps digital businesses worldwide eliminate fake accounts and stop all fraudulent activities. SHIELD identifies the root of fraud with the global standard for device identification (SHIELD Device ID) and actionable risk intelligence, empowering businesses to stay ahead of new and unknown fraud threats. We are trusted by global unicorns like inDrive, Alibaba, Swiggy, Meesho, TrueMoney and more. With offices in San Francisco, Miami, London, Berlin, Jakarta, Bengaluru, Beijing, and Singapore, we are rapidly achieving our mission – eliminating unfairness to enable trust for the world. 

Responsibilities

 As a Senior Data Analyst (Risk), you will be involved in supporting the risk operations by retrieving meaningful and relevant information from large databases, conducting data analysis to discover fraud trends and patterns. Thereafter, helping in designing long-term solutions to fight fraud. The insights you provide will contribute towards optimizing risk management strategies and creating business value by enabling trust for our clients.

• Handle end to end process from retrieving data, data analysis, deriving insights, summarizing, and presenting recommended actions to stakeholders in order for us to stay ahead of new and unknown fraud. 
• Utilize statistical tools to identify areas of potential fraud risk and/or potential areas of improvements to current fraud detection mechanisms. 
• Collect, validate, and clean data from various sources to ensure data accuracy and reliability. 
• Optimize fraud detection by rapidly identifying emerging fraud trends through data-driven analysis in complex and large dataset such as device metadata, user data, payment data – and coming up with proposals to address them and preventing future occurrence. 
• Improve and maintain dashboards to provide visibility of key metrics and fraud patterns for relevant stakeholders. 

• At least 5 years of experience as a hands-on data analyst. 
• Minimum Bachelor’s Degree in Computer Science, Data Sciences, Statistics, Mathematics, or other related fields. 
• Working experience in handling large-scale unstructured data. 
• Proficiency in SQL or other data handling tools. 
• Experience in using business intelligence tools such as Tableau, Qlik Sense, and Microsoft Excel. 
• Experience with any data analysis tools such as Python, R, SPSS and SAS. 
• Ability to take initiative in a fast-moving and dynamic environments, and take timely actions to prevent risk of fraud. 

Job Summary

An exciting opportunity to be part of the Enterprise Data Delivery team and to drive various Digital Data initiatives within the banking industry.

Mandatory Skill-set

• Degree in Banking, Business, Finance or Economics, Information Technology,
• At least 5 years of working experience in project management or PMO management experience in the banking industry;
• Exhibit a comprehensive grasp of project governance processes and a command of Project Management best practices;
• Strong understanding in data management and data governance principles;
• Well versed in SQL database management and query;
• Has strong analytical and problem-solving skills with attention to detail;
• Exceptional stakeholder management skills and ability to manage project team members across multiple locations, countries, and time zones for project delivery;
• Excellent communication skills, emotional intelligence, and ability to influence key decisions, mediate conflicts, and build consensus both internally and externally;
• Strong skills in communication, consulting, negotiation, and conceptualization.

Desired Skill-set

• PMP or Scrum Certified;
• Experience in change management .

Responsibilities

• Responsible in planning, supporting, monitoring and tracking project activities, assessments, within the bank related to data monetization initiatives;
• Provide project management support by collaborating with multiple teams in ensuring that the project is completed on time;
• Provide support in generating the relevant project management artefacts and documentation;
• Understand the data landscape including systems, business process and data flows requirement to support bank-wide data monetization initiatives;
• Support the business units team leaders in the project management process updates and communicating to senior management;
• Promote/Enable changes and incubate data monetization culture and agile development methodology with the bank.

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

• Engage in daily meetings, take meeting notes, and follow up with cross-functional teams.
• Support partnership conversations, maintain documentation, and facilitate effective communication and relationships with external partners.
• Foster close internal collaboration with the product, marketing, and design teams.
• Track market trends and categorize useful information daily.
• Collect and follow up on project information under guidance.
• Using data driven decisions to Identify high-quality channels and help connect the team with KOLs,PR channels, projects, etc.
• Assist in handling unexpected situations, including communicating with external stakeholders and internal teams, ensuring effective information transfer across different parties.
• Efficiently complete other tasks assigned by the team leader.

Mon to Fri 8am to 5pm

Salary: $2500-$3500

Location: Chai Chee

Industry: Manufacturing industry

Responsibilities:

• Performs day-to-day broad range of HR activities including proper filing of documents
• Assisting with the process of recruitment such as, screening candidates, assist with scheduling interview, and issuing employment contracts
• Handle benefits and claims administration
• Maintain accurate HR database and up-to-date employee records
• Generates and maintain regular HR reports as required
• Handle any other ad-hoc duties as and when required

Requirements:

• Diploma in Business Administration or Human resources / related discipline
• Willing to learn attitude

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.

Alternatively, you may also email your resume to us at [email protected]

Emily Fong

Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Job Description:

We are looking for a skilled Data Engineer with 8+ years of experience in handling databases and data engineering projects in the Banking, Aviation, and Telecommunication industries. The ideal candidate will have expertise in evaluating technology stacks for building analytics solutions on the cloud and designing technology roadmaps for data ingestion, data lakes, data processing, and visualization.

Key Responsibilities:

1. Data Ingestion and Processing:

• Extract structured and semi-structured raw data from multiple sources using tools like Pyspark, Hive, and Sqoop.

• Develop, test, and maintain data infrastructure, ingestion pipelines, and data stores.

2. Data Lake and Cloud Solutions:

• Design and implement data lakes and analytics solutions on cloud platforms such as AWS (S3, EC2, EMR, RDS).

• Build and maintain data pipelines using CI/CD methodologies, Docker containerization, and Git version control.

3. Database Management:

• Setup and construct database models and architectures using PostgreSQL, Oracle, and other relational databases.

• Optimize queries for faster report generation and efficient data processing.

4. ETL Processes:

• Design and manage ETL processes for data migration and integration using tools like Informatica.

• Perform data cleansing and harmonization to ensure data quality and consistency.

5. Big Data Technologies:

• Utilize Hadoop ecosystem tools (Hadoop, Hive, Spark) for big data processing and analysis.

• Optimize Hive SQL queries and Spark jobs for performance improvements.

6. Data Visualization and Reporting:

• Create dashboards and reports using tools like SAS, Kibana, and Amazon Redshift.

• Implement real-time transaction monitoring and fraud detection using visualization techniques.

7. Technical Design and Problem Solving:

• Develop technical designs that meet system objectives while minimizing operational impacts.

• Provide solutions for complex data engineering problems and handle batch failures.

8. Collaboration and Communication:

• Work with business analysts to gather requirements, validate data, and perform integration testing.

• Communicate effectively with team members and stakeholders to ensure project success.

• Experience: 8+ years of experience in data engineering and database management.

Skills:

• SQL, PL/SQL, Python

• Hadoop, Hive, Sqoop, Spark

• AWS (S3, EC2, EMR, RDS)

• SAS, Machine Learning, Data Modeling

• Oracle, PostgreSQL, MSSQL, Teradata

Additional Skills:

• Strong analytical, problem-solving, and organizational abilities.

• Quick learner with a keen interest in staying updated with industry trends.

• Excellent written and oral communication skills.

• Ability to work independently and as part of a team.

• Location: Jurong Island
• Working hour: 8.30 am – 5 pm

You will join the Quality Assurance (QA) Section which is equipped with advanced and comprehensive laboratory facilities. You will assist the chemist to contribute to the laboratory's commitment to meet relevant safety, environmental and quality management standards and support production process to meet organizational objectives.

Your Responsibilities

• To work with a team of analysts and technicians to perform testing and analysis of semi-finished and finished polyolefin product (Polyethylene and Polypropylene) via a variety of sophisticated analytical, processing and testing equipment.
• To establish, update and maintain procedures and other quality and safety records to ensure they are accurate and up-to-date, and in compliance with regulatory standards.
• To oversee proper upkeep of the laboratory equipment to ensure they are always in good working condition. To carry out basic troubleshooting in case of equipment trouble, or to work closely with the vendor’s technical representative to diagnose problems, troubleshoot issue and to implement solutions in a timely manner.
• To conduct regular monitoring of stock level of laboratory inventory supply, and upkeeping of inventory records to ensure smooth day to day operation.
• To collaborate with other Sales and Production members to assist in troubleshooting and technical investigation.
• To participate in laboratory ISO and safety activities that will contribute to a safe work environment and to comply to safety and environmental regulations.

Your Competencies

• Degree in Chemistry and/or a Diploma in Chemical Process Technology (major in Polymer Science or Material Science is a plus)
• Candidates with no experience are welcome
• Experience in polymer material processing and testing will be an added advantage
• Comfortable with working OT on Saturday when necessary

Interested candidates please apply online or send your latest CV to [email protected]

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

We are seeking a motivated and enthusiastic Junior Data Scientist and Research Analyst to join our Palm Platform team. The ideal candidate will have a passion for agriculture and a thirst for learning new skills. As a Junior Data Scientist and Research Analyst, you will play a key role in developing and applying analytical and machine learning solutions to tackle various agricultural challenges. You will have the opportunity to work with large spatial-temporal datasets, standard analytical packages, and financial instruments to support supply, demand, and marketing strategies. We are looking for someone who thrives on technology and innovation, excels at solving complex problems with creative solutions, and is adept at communicating findings to local and global stakeholders proactively.

Main Responsibilities:

• Contribute to database construction:  
  • Contribute to the construction and maintenance of internal databases and Python libraries.   
• Analyse internal and external data sources:  
  • Proactively monitor external data and market intelligence, stay abreast of routine releases, policies, and market trends. 
  • Analyse and extract valuable insights from data and market information.
• Develop high-quality models, including predictive models:  
  • Use high-quality statistical, econometric, and machine learning tools to analyze large-scale internal and public commodity-related data. This includes estimating supply, demand, and price models based on sound theory, and best-practice programming techniques, and state-of-the-art analytical tools. Clearly explain assumptions, model advantages, and limitations.  
• Create and maintain dashboards and custom tools:  
  • Develop dashboards and custom tools to deploy findings to commercial groups using latest tools and technologies, while ensuring its integrity and accuracy 
• Present findings:  
  • Present findings to broad commercial groups and effectively summarize and communicate model features and results for global risk management.   

Experiences & Competencies:

• Knowledge of statistical methods and machine learning techniques, with practical experience applying them to real-world agricultural problems 
• Strong written and verbal communication skills – Know how to communicate/explain complex ideas in a simple way to non-technical stakeholders  
• Good time management skills and ability to manage multiple tasks and work to deadlines 
• Interpersonal skills, ability to forge relationships with colleagues and external contacts 
• Ability to work within a complex and international environment 
• Genuine interest in global economics and commodities markets 

Technical Skills:

• Advanced IT skills (e.g., Excel, VBA, PowerPivot, Power Query) 
• Good Programming skills (Python, etc.) and experience with data analysis libraries (e.g., Pandas, NumPy, SciPy, GeoPandas, etc.) 
• Strong command on SQL and Data visualization tools 
• Good Business Intelligence awareness 

Language:

• English (Fluent)

Academics:

•  Degree in Computer Sciences, Statistics, or Mathematics, or related field of study

We are Assembly – and we’re not like the rest. We’re the modern alternative agency, bringing together industry-leading data, talent, and tech to Find the Change That Fuels Growth for the best brands on the planet, including Lenovo, Lane Crawford, Marina Bay Sands, and more. Our diverse, global community of over 1,600 passionate experts combines global thinking with unmatched local expertise in more than 20 markets worldwide – enabling brands to engage and move consumers anywhere. We use STAGE, Assembly’s proprietary, privacy-centric data solutions platform, to surface powerful insights that transform into actionable brand opportunities. We’re at the cutting edge of new media, technology, and platforms embedded in the lives of today’s consumers, and we’re tapped into how culture and communities’ needs change. We do this while staying steadfast in our commitment to Leave the World Better Than We Found It through measurable social and environmental impact work.

Assembly was named The Drum’s APAC Media Agency of the Year in 2021

WHO WE’RE LOOKING FOR

An accomplished Account Manager who will take ownership of some of the key data consultancy client relationships we have in the region and is primarily responsible in leading the strategic growth and client relationship while overseeing the data projects delivery of these accounts.

Due to the complex nature of these key accounts, the ideal candidate must be able to demonstrate multi-tasking and time-management capabilities to manage client stakeholders and internal teams on global, regional and local levels.

WHAT YOU’LL BE DOING ON ANY GIVEN DAY

Client Responsibilities

• Lead / Support new business pitches when required
• Manage relationship with data and consultancy clients, ensure client retention and identify opportunities to further the relationship
• Translate client briefs (business objectives and goals) into data-driven strategy frameworks with actionable KPIs
• Identify cross & upsell opportunities, build proposals, define scope and commercials to pitch initiatives
• Keep abreast of channel and product updates within the agency, ensuring these are communicated to the client where appropriate
• Act as the client lead to provide strategic POVs and recommendations
• Drive data services and products adoption on the client’s side
• Develop local and regional data offerings and services where fits

Project Responsibilities

• Support account director to determine and define project scope and objectives, predict resources and budget
• Manage/Support technical data consultancy projects including advanced analytics, business intelligence, martech, data science
• Coordinate and collaborate with colleagues across departments and regions, clients, and other internal and external stakeholders to ensure smooth project delivery with high quality
• Develops, executes, and composes clear and effective communications, trainings, and post-delivery support plans
• Build stronghold of knowledge through clients’ engagements
• Support the spread of the Data Consultancy knowledge across the company at regional level

THE SKILLS WE’RE LOOKING FOR

Essential

• +5 years data experience in digital marketing industry, with at least 1.5 years in a client facing role
• Proficient in spoken and written English, any other language is a plus
• Confident client facing attributes
• Excellent communication and project management skills
• Numerical and analytical with experience working with data specialists
• Demonstrable experience in translating client objectives into feasible, well thought-out data strategies
• Good understanding of digital data ecosystem such as tracking and metrics
• Proven track record in managing complex accounts with multiple stakeholders while developing strong client relationships
• Proactive, motivated, self starter and willing to learn
• Attention to detail with the ability to effectively do initial troubleshooting to support the technical team

Desired Skills

• Numerical and analytical
• Experience in any of AA (e.g. GA, AA), BI (e.g. BQ, Tableau), Martech (e.g. GMP, CDP) or DS (e.g. Presto) is desired
• Experience in SQL is an advantage
• Understanding and experience with digital media channels is a plus, e.g. PPC, Social, Programmatic

WHY ASSEMBLY?

• We‘re part of Stagwell (NASDAQ: STGW), the challenger network built to transform marketing. We’re nimble, smart, and digital-first, and we’re quickly growing to take on the biggest legacy holdcos.
• We care about your growth — we offer competitive salaries, annual compensation reviews, and keep detailed personal development plans to ensure you’re hitting your personal and company goals.
• We recognize and celebrate your success...all the time! Whether it’s through company meetups, employee recognition programs, or just a regular day, we make sure our people’s achievements are known and appreciated!
• We’re truly a people-first organization. That’s why we operate in hybrid model with flexibility, Work from Anywhere Scheme, allows you to be in control of your work-life balance.
• We believe in making impactful change in society, we encourage you to take Impact Leave time off from work to engage in volunteer activities with a charity that you support.

Mon to Fri 8am to 5pm

Salary: $2500-$3500

Location: Chai Chee

Industry: Manufacturing industry

Responsibilities:

• Performs day-to-day broad range of HR activities including proper filing of documents
• Assisting with the process of recruitment such as, screening candidates, assist with scheduling interview, and issuing employment contracts
• Handle benefits and claims administration
• Maintain accurate HR database and up-to-date employee records
• Generates and maintain regular HR reports as required
• Handle any other ad-hoc duties as and when required

Requirements:

• Diploma in Business Administration or Human resources / related discipline
• Willing to learn attitude

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.

Alternatively, you may also email your resume to us at [email protected]

Emily Fong

Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

No experience/Diploma in mechanical/mechatronic/electrical/electronic or related engineering

MOE Grant can apply

SPM can apply

Basic (no experiene / fresh)-start from $2400-$3300

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Mon to Fri 8am to 5pm

Salary: $2500-$3500

Location: Chai Chee

Industry: Manufacturing industry

Responsibilities:

• Performs day-to-day broad range of HR activities including proper filing of documents
• Assisting with the process of recruitment such as, screening candidates, assist with scheduling interview, and issuing employment contracts
• Handle benefits and claims administration
• Maintain accurate HR database and up-to-date employee records
• Generates and maintain regular HR reports as required
• Handle any other ad-hoc duties as and when required

Requirements:

• Diploma in Business Administration or Human resources / related discipline
• Willing to learn attitude

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.

Alternatively, you may also email your resume to us at [email protected]

Emily Fong

Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2400+OT+allowances>$3K++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Annotation drives AI’s capabilities.

Industries across the board are embracing AI, and the backbone of this revolution is accurate data labeling (data annotation). As an AI Tutor - Expert Annotator, you will not just be performing routine tasks; you are a meticulous specialist ensuring the highest quality of data markup. In this role, you help pave the way for more reliable and responsible AI models by laying the groundwork through precise annotation.

Responsibilities:

• Accurately label and annotate data following comprehensive project guidelines.
• Make justified decisions on ambiguous content by applying critical thinking to preserve the integrity of the dataset. 
• Actively collaborate with team members to discuss and resolve ambiguities, align on best practices, and enhance project outcomes.
• Consistently adhere to established data labeling standards and protocols, ensuring the highest quality and reliability of data.

Our ideal candidate:

• Has great command of English: advanced (C1) / proficiency (C2) / native level.
• Has a keen eye for detail: precision is paramount in data labeling.
• Is a dedicated performer who recognizes the importance of even routine tasks.

• Be part of a significant project for a leading technology company, making a substantial impact on the future of AI.
• Enjoy the flexibility of a part-time, remote role that accommodates your schedule.
• Try your hand at an AI project and enrich your portfolio with new experiences.

Mon to Fri 8am to 5pm

Salary: $2500-$3500

Location: Chai Chee

Industry: Manufacturing industry

Responsibilities:

• Performs day-to-day broad range of HR activities including proper filing of documents
• Assisting with the process of recruitment such as, screening candidates, assist with scheduling interview, and issuing employment contracts
• Handle benefits and claims administration
• Maintain accurate HR database and up-to-date employee records
• Generates and maintain regular HR reports as required
• Handle any other ad-hoc duties as and when required

Requirements:

• Diploma in Business Administration or Human resources / related discipline
• Willing to learn attitude

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.

Alternatively, you may also email your resume to us at [email protected]

Emily Fong

Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Mon to Fri 8am to 5pm

Salary: $2500-$3500

Location: Chai Chee

Industry: Manufacturing industry

Responsibilities:

• Performs day-to-day broad range of HR activities including proper filing of documents
• Assisting with the process of recruitment such as, screening candidates, assist with scheduling interview, and issuing employment contracts
• Handle benefits and claims administration
• Maintain accurate HR database and up-to-date employee records
• Generates and maintain regular HR reports as required
• Handle any other ad-hoc duties as and when required

Requirements:

• Diploma in Business Administration or Human resources / related discipline
• Willing to learn attitude

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.

Alternatively, you may also email your resume to us at [email protected]

Emily Fong

Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Mon to Fri 8am to 5pm

Salary: $2500-$3500

Location: Chai Chee

Industry: Manufacturing industry

Responsibilities:

• Performs day-to-day broad range of HR activities including proper filing of documents
• Assisting with the process of recruitment such as, screening candidates, assist with scheduling interview, and issuing employment contracts
• Handle benefits and claims administration
• Maintain accurate HR database and up-to-date employee records
• Generates and maintain regular HR reports as required
• Handle any other ad-hoc duties as and when required

Requirements:

• Diploma in Business Administration or Human resources / related discipline
• Willing to learn attitude

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.

Alternatively, you may also email your resume to us at [email protected]

Emily Fong

Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2400+OT+allowances>$3K++-$4000++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Whether you’re at the start of your career or looking to discover your next adventure, your story begins here. At Citi, you’ll have the opportunity to expand your skills and make a difference at one of the world’s most global banks. We’re fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You’ll also have the chance to give back and make a positive impact where we live and work through volunteerism.

Shape your Career with Citi

Citi’s Enterprise Services and Public Affairs (ESPA) aims to enhance how our stakeholders perceive and experience Citi. We manage our reputation by engaging with our stakeholders and delivering great spaces and services to colleagues and clients.

We’re currently looking for a high caliber professional to join our team as Assistant Vice President, Business Strategy and Data Analyst (Facilities & Construction, Real Estate Services, International Cluster)- Hybrid (Internal Job Title: Fac Ops Facilities Mgr - C12) based in Singapore.

Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance:

• Citi provides programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.
• We believe all parents deserve time to adjust to parenthood and bond with the newest members of their families. That’s why in early 2020 we began rolling out our expanded Paid Parental Leave Policy to include Citi employees around the world.
• We empower our employees to manage their financial well-being and help them plan for the future.
• Citi provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses.
• We have a variety of programs that help employees balance their work and life, including generous paid time off packages.
• We offer our employees resources and tools to volunteer in the communities in which they live and work. In 2019, Citi employee volunteers contributed more than 1 million volunteer hours around the world.

In this role, you will be:

• Part of a global Business Execution Team for the Facilities & Construction Function within the Citi’s Real Estate Services Team
• Interacting with all the functions within the Facilities and Construction team – Design & Change Management, Construction, Facilities Management, Sustainability & Net Zero, Critical Facilities and Governance.
• Primarily reporting to and supporting one of our Business Execution Workflow Leads currently based in Singapore.
• Assist on and eventually own Global Strategic Initiatives
• Incubate ideas, connect teams, and clarify needs to create an actionable project roll out and project plan.
• See through the execution of these project plans to completion and achievement of committed qualitative, quantitative, and financial benefits.
• Executive reporting on supported initiatives & workflows
• Providing day to day support to Functions based in the International Cluster (APAC & EMEA) including:Apply predictive analytics to enhance decision making processes.
  Cross referencing data points into useful actionable analytics / risk management controls
  Create process to ensure ~100% accuracy of collected data.
  Shift all manual data collection processes to systemic and eventually automated as a roadmap.
  Determine a Data management strategy – Data Collection, Cleaning, Storage, Synthesis & Analytics
  Exhaustively document and consolidate all data points created by and consumed by the organization.
  Owning the Global Facilities & Construction Data Consolidation Initiative with under the guidance of the reporting manager
  Collation of Cluster feedback to Global Function Leads & Follow Ups
  Collateral & Communications support
  Incident Reporting
  Reporting Requests
  Incubating ideas into potential global initiatives and programs

As a successful candidate, you’d ideally have the following skills and exposure:

Development Value:

• Ability to utilize Business & Data Analytics experience within the largest financial institutions in the world.
• Opportunity to work with individuals from across a wide geographic and culturally diverse environment.
• High level of exposure to senior members of staff from both RES Cluster and Division/Global team
• Opportunity to influence and develop policies and procedures within a large company environment.
• Excellent career development and progression within Real Estate Services in Financial Institution, within country and overseas.

Skills/Experience:

• Minimum of 3 years of experience in a corporate setting and 5-8 years overall; Corporate Real Estate and/or Financial Services experience a plus.
• Experience of working in diverse international environment
• Broad knowledge and understanding of real estate disciplines (architecture, construction, space planning, and engineering, etc.)
• Exceptional communication skills both spoken and presented / reported.
• Experience in using Microsoft Office software in a business problem solving context.
• Strong analytical skills. Experience in data management & analytics ideal.
• Process Review and implementation.
• Strategic planning & Project Management
• Relationship Management.

Qualifications:

• Bachelor’s degree or equivalent experience in business or
• Recognized degree in either Facilities/Project Management/Engineering, Architectural/Interior Design / Real Estate

Competencies:

• Excellent communications, both written and verbal with an emphasis on the ability to relate to staff, peers and senior management in a relaxed, professional manner.
• Leadership
• Verbal and written communication skills
• Planning and organization
• Team player
• Managing remotely
• Time Management and prioritization
• Negotiation and influencing

Central to our global commodity processing and trading activities, the Freight Platform has grown to become a major global chartering entity, heavily leveraging data analytics.

Main Responsibilities:

As a Data Scientist at LDC, you will be an integral part of our dynamic team, contributing to the development and enhancement of our vessel tracking ecosystem. This ecosystem integrates diverse data sources, proprietary tracking and forecasting models, and interactive dashboards that empower our commercial team to make informed trading choices on a daily basis.

Vessel Tracking Ecosystem Development:

• Lead the design, development, and maintenance of the vessel tracking product.
• Collaborate with DT&A teams and other platforms to ensure coordinated development and integration of data sources and features.
• Take ownership of critical components, driving continuous improvement.

Forecasting Models and Trading Insights:

• Develop advanced forecasting models using machine learning techniques.
• Leverage proprietary data sets to enhance accuracy and reliability.
• Work closely with traders and research analysts, translating data into actionable insights.

Data Management and Analytics:

• Provide high-quality data and analytics support to the Freight platform.
• Ensure data availability, reliability, and adherence to best practices.
• Design intuitive visualizations and user interfaces for informed decision-making.

Collaboration and Leadership:

• Liaise with data scientists, fundamental analysts, and other stakeholders.
• Lead development efforts, fostering innovation within a collaborative environment.
• Champion creative solutions to enhance our technological setup.

Machine Learning Integration:

• Structure proprietary information into in-house data sets.
• Apply machine learning models to extract valuable insights.
• Optimize trading strategies based on data-driven recommendations.

Experiences:

• At least 4-6 years of relevant working experiences.
• Strong analytical skills with experience in time series analysis.
• Exposure to financial markets or trading environments is advantageous.
• Excellent communication skills and the ability to collaborate effectively.

Other skills (Computer Skills, etc):

• Proficiency in Python, machine learning libraries (e.g., TensorFlow, scikit-learn), and data visualization tools (e.g., Matplotlib, Plotly).

Languages:

• English (Fluent)

Academics:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.

• Compensation: Competitive Salary with AWS and Months Variable Bonus 
• Employment Type: Permanent 
• Location: Jurong Island, Singapore (Transport provided at designated point) 

Why Join Our Client?

• Innovative Environment: Be part of a dynamic team at the forefront of technological advancements in the chemical manufacturing industry.
• Career Growth: Access opportunities for professional development and career advancement within a global organization committed to nurturing talent.
• Impactful Work: Make a meaningful contribution to the success of our company while driving innovation and excellence in electrical engineering.
• Collaborative Culture: Thrive in an inclusive and supportive work culture that encourages teamwork, creativity, and continuous learning.

Key Responsibilities:

• Lead maintenance and instrumentation activities in manufacturing plants, ensuring safe and efficient operations.
• Coordinate and execute major field maintenance projects with a focus on worker safety and facility integrity.
• Collaborate with internal and external stakeholders to coordinate maintenance activities and ensure minimal disruption to plant operations.
• Drive instrumentation application studies and facility modifications to align with technical specifications and business requirements.
• Conduct training sessions to enhance the skills and competencies of staff and contractors.
• Implement management systems based on ISO 9001, ISO 14001, and SS506 standards to uphold quality and safety standards.

Career Prospects:

• Access opportunities for advanced training and skill development to enhance your expertise in electrical engineering and management.
• Progress into leadership positions within our organization, leading teams and driving strategic initiatives.
• Gain exposure to various facets of the chemical manufacturing industry, broadening your skillset and knowledge base.
• Explore international assignments and projects, leveraging our global presence to expand your horizons and career prospects.

Requirements:

• Bachelor's degree in Electrical Engineering with a focus on Power/Energy Modules.
• Basic knowledge of programmable logic controllers (PLC) and human-machine interfaces (HMI) is advantageous.
• Strong analytical and problem-solving skills.
• Excellent communication skills with the ability to collaborate effectively across different functions and with external partners.
• Only Singaporean candidates may apply.

If you're passionate about maintenance engineering and ready to take the next step in your career, apply now to [email protected]

Reg No. R1983718

Triton AI Pte Ltd

License no. 21C0661