Main Duties & Responsibilities

Daily:

Attend for incoming phone calls

Attend to Emails

Schedule Sales Appointments

Prepare Sales Documents e.g.

Customer Purchase Order (PO), Invoices (Inv.), Delivery Order (DO)

Delivery Order Arrangements (indicate Date, Time, Sign, Lorry No, Driver Contact No)

Customer Self-Collection – Delivery Order Note required 2 copies

3rdPart Transport – Delivery Oder Note required 3 copies (Transporter sign / One for site / One for Transporter C/o – billing purpose)

Monthly:

Monitor worker attendance / Overtime

- Worker performance report /Work Order

* Overtime vs Productivity

Worker Dormitory House Keeping Check

Perform administrative general admin duties eg. Filling, Mailing, any Ac-Hoc duties e.g.

Data Entry – Rebar BBS

- Double check and clarify all the required information are accurate

Prepare Label – Rebar Tag

- Ensure BBS Copy is customer CONFIRMED / APPROVED BBS

Label Tag with Wire

- Ensure the Cut Length Copy is attached.

- Double check all the items, Qty, Projects, C/O is accurate

NO discrepancy is allowed for REBAR document preparation

Job Requirement:

1. Minimum GCE ‘O’ Levels with working experience

2. Experience in data entry would be an advantage

3. Possess initiative, responsibility and able to work independently

4. Good interpersonal and communication skills

5. Able to start work in short period

6. Work Hours: Monday to Friday / 9.00am to 6.00pm (1 hour lunch)

Saturday / 9.00am to 1.00pm

1. Monitor and record expenses related to marine operations, including fuel, maintenance, repairs, and supplies.
2. Assist in developing and maintaining budgets for marine projects, ensuring expenses stay within allocated funds.
3. Review and process invoices from vendors and suppliers, verifying accuracy and resolving discrepancies.
4. Enter financial data into accounting software or spreadsheets accurately and in a timely manner.
5. Prepare regular reports on cost performance, budget variances, and financial trends for management review.
6. Analyze cost data to identify areas for cost-saving opportunities and efficiency improvements.
7. Maintain organized records of financial documents, such as invoices, receipts, and purchase orders.
8. Ensure compliance with company policies, accounting principles, and regulatory requirements in all cost-related activities.
9. Collaborate with other departments, vendors, and stakeholders to gather information and resolve cost-related issues.
10. Provide support to senior cost management personnel in various tasks, such as cost forecasting, financial analysis, and project planning.

The Senior Data Analyst role is important to:

• Lead and implement Student Data Analytic Projects that aid data-informed decision-making and reporting, as well as to enhance student experience.
• Manage Student Data Catalogue and metadata in Denodo virtual data warehouse and develop integrated datasets for data analytics and reporting.
• Fully implement and enforce the Student Data Governance Framework and extensive adoption of the framework by Colleges, Schools, and Departments, that ensures data quality which is most critical for Data Analytics.
• Train end-users on new reports and dashboards.

Responsibilities

• Leading the implementation of Student Data Governance (SDG) framework across Student Admin Departments, Colleges, and Schools; Secretariat support to the SDG Steering Committee Meetings.
• Leading and conducting Data Quality (DQ) Assurance programme across different data areas and monitor DQ via developing DQ dashboard.
• Developing and managing student data catalogue for management reporting and data analytics projects.
• Driving the adoption of NTU Education Dashboards to support decision-making at different level of the University.
• Leading, developing, and managing data analytics projects to provide enhanced insights from student data, such as student profiling, data analysis to support policy maker in relevant policies, predictive analysis of students at-risk, degree programme quality assurance analysis, student quantitative or qualitative feedback analysis using Natural Language Processing (NLP).
• Training staff in data-related framework, concepts, and competency in data analytics.
• Supporting business data users in student admin process automation.

[The role is expected to lead and facilitate, in addition to execution.]

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, or Mathematics.
• Over 7 years of professional experience in data analytics and data governance.
• Demonstrated technical proficiency in data models, database design and development, data mining, and machine learning techniques. Familiarity with Natural Language Processing (NLP) is advantageous.
• Strong familiarity with data visualization tools such as Qlik Sense, along with programming proficiency in Python/R and SQL.
• Experience with Robotic Process Automation (RPA) tools like UiPath and Power Automate is a plus.
• Proven track record in planning and executing data analytics projects to meet business objectives.
• Excellent communication skills, capable of effectively liaising with business stakeholders to understand data requirements and deliver actionable insights.

We are looking for a Senior Data Engineer to join our data engineering team. If you are passionate about solving problems and making improvements through data and technology, we are eager to talk to you. The ideal candidate has both a willingness and desire to work in a dynamic environment, is able to apply Agile methodologies in day-to-day activities, and is a self-motivated developer who also enjoys working in a team environment. Our people have a creative, innovative, fun, and collaborative attitude, and are dedicated to creating new and valuable solutions for HP.

The Senior Data Engineer applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Frequently contributes to the development of new ideas and methods. Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Acts as an expert providing direction and guidance to process improvements and establishing policies. Frequently represents the organization to external customers/clients. Exercises significant independent judgment within broadly defined policies and practices to determine the best method for accomplishing work and achieving objectives. May provide mentoring and guidance to lower-level employees.

Responsibilities

You will design, develop, test, modify, deploy, and document solutions and services in both local and cloud-based deployments of our Big Data infrastructure. Create solutions using current programming languages and tools and interact with team members, customers, and partners to define requirements. Collaborate with stakeholders and data scientists to analyze, extract, and report meaningful insights from data collected.

A senior data engineer:

• Provides core contributions to multiple products, projects, solutions and processes through all stages of the development lifecycle including but not limited to design, analysis, coding, testing and integration.
• Is a highly skilled technical leader responsible for key system areas and ensures that changes are delivered with high quality and that best practices are used.
• May lead cross-team or cross-organization technical efforts related to the application design and development.
• Reviews and evaluates designs and project activities for compliance with applications design and development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
• Provides domain-specific expertise and overall software leadership and perspective to cross-organization projects, programs, and activities.
• Drives innovation and integration of new technologies into projects and activities in the software applications design organization.
• Provides guidance and mentoring to less-experienced staff members.
• Participates in analyzing requirements and high-level designs.
• Implements, tests, and maintains software modules created.
• Participates in code reviews.
• Gives input to management on task duration estimates, technical information, and issue resolution.
• Provides domain-specific expertise and perspective to partners.
• Maintains awareness of new tools, environments, and methodologies being used in the Big Data space.
• Recommends ways to improve data reliability, efficiency, and quality.
• Develops processes for data modeling, mining, and reporting.
• Researches opportunities for acquiring new data and new uses for existing data.

Qualifications

• Typically 5+ years of experience in software or data engineering.
• Extensive experience in data modeling, data integration and processing of structured and unstructured data.
• Proficient in one or more programming languages (Python preferred).
• Strong SQL proficiency (experience with NoSQL – advantage).
• Experienced with Apache Spark
• Excellent communication skills; mastery in English and local language.
• Ability to effectively communicate product architectures, design and change proposals.

Additional preferred qualifications / advantages

• Databricks
• Pandas
• Dataiku
• Familiar with best practices of the data and software engineering lifecycle and/or best practices of the above platforms and tools.
• Scala

Job Details

Location: Mapletree Business City (MRT: Labrador Park)

Working Hours: 5-Days Work Week

Work Type: 9 to 12 Months Contract

Salary: Up to $ 2,700 per month + Allowance + AWS

What you will be working on?

• Assist in helpdesk function for users of the website & application etc.,
• Handle incoming calls from users
• Perform data entry and record management
• Assist users to solve basic technical problems such as password reset
• Other ad hoc duties as assigned

What are we looking for?

• Singaporean only
• Minimum O-Level in any discipline with good command in English.
• Prior call centre experience would be an advantageous.

Interested candidate may apply via email to [email protected] (indicating Job ID J44255 for faster processing). All job applications will be processed with strict confidence and only shortlisted candidate will be contacted.

Carmen Tan Huei Mun | R23115837

ScienTec Consulting Pte Ltd (ScienTec Personnel) |11C5781

• At least 5 years of experience working as a data engineer or backend developer in a big data field.
• Solid working knowledge of implementing the optimal data structures and algorithms to create efficient and scalable applications in Java or Python.
• Experience in application integration with Snowflake, Oracle and MS-SQL.
• Experience in the Systems Development Life Cycle implementation methodology (SDLC) and/or agile methodologies like Scrum and Kanban.
• Hands-on experience of using Linux (or Unix-like OS) as the development environment and familiar with shell scripts and command line tools.
• Understand and apply the good industry practice of code versioning, testing, CICD workflow and code documentation.
• Familiarity with AWS services will be an added advantage.
• Good team player, with strong analytical skills and enjoy complex problem solving with innovative ideas.
• Good communication and people skills required 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.

• Key in data information into computer databases and spreadsheets
• Update existing data in databases
• Organize and manage data for easy retrieval
• Verify accuracy of entered data
• May involve scanning documents and creating digital files

Requirements

• Strong typing skills and attention to detail
• Experience with computer programs like Microsoft Office Suite (Word & Excel)
• Ability to work independently and meet deadlines
• Good organizational skills
• Able to start work in short period
• Singaporean, SPR, internship is welcome
• Fresh graduate is welcome
• Training provided

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Data Engineer with an interest in finance to join our growing team in our Singapore office.

Responsibilities:

• Focuses on DataOps from ingesting to deployment. Portfolio to be requested here.
• Maintain and enhance trading pipelines.
• Combine various data sources via API or scraping into a singular source of truth.
• Develop feature store and automate features cleaning, processing, engineering, and monitoring of drifts.
• Develop data lineage of each feature and also ensuring features integrity with data fingerprinting techniques.
• Work with batch and streaming data and reduce anomalies in data or gaps in different financial data sources.
• Build, maintain, enhance data pipelines using DataOps, MLOps and AIOps frameworks.
• Work with full suite of data and model infrastructure and integration i.e. SageMaker Studio
• Part of a sub-team focusing on full autonomous AI Trading under a larger trading division.

Requirements:

• Bachelor’s and above
• Must have languages: Python, SQL & NoSQL
• Must have database experiences: Mapreduce, Partitioning, Spark etc.
• Must have data ingestion tools: Kafka, Flume or Sqoop etc.
• Must have data management experiences: Feature Store, Engineering Reproducibility etc.
• Must have testing experiences: Unit Tests, Errors Handling to ensure trading system remains fault tolerance and robust
• Must have orchestration tools: DAGs in Airflow or Prefect, MLFlow
• Must have deployment experiences: Docker, AWS S3, Lambda etc
• Extremely good to have languages: C, C# C++, Java
• Extremely good to have capabilities: Scripting in vim, Neo4j

• No quota for work pass sponsorship,
• 5 Days week
• Location: Macpherson
• Salary: Up to $2800 (depend on experience)
• Industry : Design and Sales of factory automation products made using aluminum frame.

Requirements & Responsibilities

• ITE/ Dip in Mechanical Engineering with hands-on experience in using AutoCAD & SolidWorks software.
• Applicant must be willing to learn and work as a team.
• Able to work independently with minimal supervision.
• Other ad hoc duties as assigned

To Apply >>

Please attach updated detail resume in MS WORD FORMAT (.doc file) with the following information:

1. Personal Particulars
2. Education
3. Work experiences (period of employment & job duty) in point forms
4. Last drawn salary in each employment

5. Expected salary
6. Reasons for leaving each employment
7. Earliest work commencement date / Notice period

(We regret that only shortlisted candidates will be notified)

Job Description

As Senior Specialist for Planning, Strategy & Data Analysis (PSDA), you will contribute individually as well as assist your Deputy Director to manage a small team to work on facilitating discussions and develop measures and strategies for the organisation’s needs. You should excel at communicating, engaging multiple stakeholders including government agencies, conducting evidence-based studies and analysis, and moving strategies into implementation.

Job Responsibilities

• Negotiate, coordinate, and liaise with internal and external stakeholders, including the Ministry of Manpower (MOM) and Workforce Singapore (WSG).
• Conduct studies of industry groups, worker segments, overall employment and employability landscape, and/or ad hoc studies as requested, to identify trends, threats, and opportunities. Craft compelling stories and data-driven recommendations from findings or insights to be presented to various stakeholders.
• Support senior management with new matters that arise by making sense of emerging issues and gaps that do not fit neatly into clear categories, as well as corporate and strategy matters, including monitoring and tracking KPIs; preparation for external meetings with government agencies; analysing developments that impact the organisation.
• Organise and support annual corporate planning sessions and seminars (and ad hoc brainstorming sessions) to conceptualise overall workplan and communicate corporate strategy, provide analysis and insights to support and guide management in decision-making.
• Prepare and present regular reports and topical presentations to senior management, including NTUC senior management.
• Oversee, plan for, maintain, and track clean data to be used for data analysis.

Job Requirements

• Good interpersonal and negotiation skills
• Excellent analytical, writing, and communication skills
• Project management, problem-solving, and leadership skills
• Meticulous, self-driven, and able to multi-task
• At least 3 - 5 years’ experience in planning/policy, consultancy, or strategy formulation

Only Singaporeans may apply.

Designation and salary will commensurate with experience.

We will only contact shortlisted candidates

Job Description & Requirements

Responsibilities:

• Manage team of production operators in the line
• Understand the origin and destination of Company's products and goods
• Fulfill the output quantity for daily shipment
• Schedule and create production output plan and shipment plan
• Ensure products follow customers' quality specifications
• Training of production operators and making sure production team follow instructions
• Maintaining motivation and discipline within the team
• Communicate effectively with operators

Requirements:

• Candidate must possess at least GCE "O" Level.
• At least 5 Year(s) of working experience in manufacturing is required for this position.
• Good in management, lean manufacturing and quality first concept.
• Willing to be hands-on
• Willing to assume leadership and responsibility in meeting shipment deadlines
• Willing to work on alternate Saturdays.
• Bilingual candidates have greater advantage

Job Description: Transportation Billing Executive

Mon - Friday

8.30am - 5.30pm

Position Overview:

As a Transportation Billing Executive, you will be responsible for managing and overseeing the billing and invoicing processes related to transportation services provided by the company. You will ensure accurate and timely billing, monitor payment collections, and address any billing-related inquiries or issues from customers or internal stakeholders.

Key Responsibilities:

1. Generate and process accurate invoices for transportation services rendered to customers.

2. Verify billing information, including rates, charges, and other relevant details, to ensure accuracy.

3. Monitor and track customer payments to ensure timely collections and follow up on any overdue accounts.

4. Address customer inquiries and resolve billing discrepancies in a professional and timely manner.

5. Collaborate with the finance and accounting team to reconcile billing records and financial transactions.

6. Prepare and maintain billing reports.

7. Assist in the development and implementation of billing policies, procedures, and controls to improve efficiency and accuracy.

8. Stay updated on industry regulations and best practices related to transportation billing and invoicing.

9. Work closely with other departments, such as operations and customer service, to coordinate billing activities and resolve issues effectively.

10. Provide support during audits and compliance reviews related to billing and invoicing processes.

• Work closely with the data team and cross-functional departments to grasp business needs and translate them into data solutions.
• Develop, maintain, and optimize machine learning models and algorithms to support agricultural decisions and operations.
• Conduct thorough data cleaning, preprocessing, and feature engineering to ensure data quality and readiness for analysis.
• Design and implement efficient data pipelines and ETL (Extract, Transform, Load) processes to streamline data flow and accessibility.
• Create impactful visualizations and reports, providing actionable insights to stakeholders and contributing to informed decision-making.
• Engage in the setup and maintenance of hardware and networking infrastructure to support data engineering tasks.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a relevant technical field.
• Solid grasp of machine learning concepts and experience in developing predictive models.
• Proficiency in programming languages such as Python, with strong skills in data manipulation libraries like Pandas and NumPy.
• Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch) and a good understanding of their application in solving real-world problems.
• Knowledge of SQL and experience with database systems for efficient data retrieval and manipulation.
• Strong problem-solving skills, attention to detail, and the ability to work collaboratively in a dynamic, interdisciplinary environment.

About us

Dyson is on a journey to become a leader in the use and application of data and analytics. The use of connected data is at the forefront of ground-breaking engineering innovation at Dyson, and we aim to build on this and drive better use of data science and advanced analytics across the global enterprise and information systems. This role will be fundamental in helping us deliver on this vision.

You will be part of an enterprise-wide strategic digital transformation initiative which will drive data and analytics transparency and seamless integration across strategic domains. The programme will define the strategy, approach, and processes by which the organisation acquires, stores, curates, manages, and analyses data, setting standards for data and analytics quality and security.  Working within the programme team, you will participate in an evidence-driven culture of decision-making and demonstrate outstanding use of data and analytics at Dyson.

To get maximum benefit from our data, a critical part of the role will involve building meaningful relations and partnerships across global markets and functions. In this role, you will work together with existing functions and teams working on data and analytics, contribute to an ambitious and inclusive data and analytics transformation strategy, and participate in driving benefit across the organisation. Multiple positions are available.

About the role

This exciting role will allow you to bring your extensive Data Science expertise into a fascinating problem space – as we create innovative data products to drive enhancements to the owner experience through our app and machines.

The Lead Data Scientist will involve hands-on management and implementation of multiple Data Science projects and contributing to overall strategy across wider initiatives and programmes. You will work closely with Data Scientists, Data Product Managers, Data Product Owners and MLOps Engineers – evolving and improving our Connected Intelligence Platform, Connected Control Tower, our Data Science toolset, and the data products that we create.

In this role, you will:

• Develop a solid understanding of ML and Data Science, emphasizing skills in A/B experiment design, forecasting, segmentation, recommender systems, and statistical methodologies.
• Contribute to end-to-end projects in Data Science and Data Engineering, actively participating in the evolution of the Data roadmap and various initiatives.
• Provide technical support, engage in code reviews, and assist in process improvement and automation efforts.
• Effectively communicate with Product Owners and senior stakeholders, driving engagement in new opportunities for Dyson.
• Assist in refining executive-level reporting capabilities, ensuring the quality of analysis meets established standards.
• Stay informed about industry trends in Data Science and bring relevant insights to the team for decision-making.
• Take a more active role in recruitment activities, contributing to the growth and success of our expanding Data team.

About you

• ​Proven experience in Python development in both Data Science and Software Engineering contexts, with the ability and desire to upskill and coach team members in concepts such as
  - APIs and services
  - Unit-testing
  - OOP
  - Commonly used packages such as statsmodels, scikit-learn, tensorflow
  - Proficiency in SQL, with exposure to BigQuery or Redshift being advantageous
  - Moderate expertise in Cloud platforms, particularly GCP or AWS, is a plus
  - Leading the design and implementation of automated analytics solutions in complex production environments
  - Direct involvement in spearheading the development and successful delivery of impactful predictive models within a business context
  - Demonstrated expertise in the comprehensive understanding and practical application of advanced statistical concepts
• Experience conducting advanced statistical modeling and analyses in intricate settings, exemplified by roles in sophisticated environments such as research, academia, consultancy, or ecology.
• Enjoy driving business value through Data Science and measuring progress against KPIs.
• Ability to prioritise and manage tasks in a dynamic environment, steering multiple projects simultaneously.
• Effective communication skills and an ability to present insights in a clear manner.
• Advanced proficiency in crafting compelling narratives through data and a demonstrated expertise in utilizing advanced visualization tools such as Tableau and Looker.

Benefits

Dyson Singapore monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.

#LI-DYSON

#LI-SL

Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.

Research Associates/Research Assistants are required for concurrent research projects in the laboratory of Assistant Professor Lim Jue Tao.

This project led by the Lee Kong Chian School of Medicine (LKCMed), Nanyang Technological University, will be conducted in collaboration with the Saw Swee Hock School of Public Health (SSHSPH), National University of Singapore, Singapore General Hospital, Tan Tock Seng Hospital and the National Centre for Infectious Diseases. This position will offer a multidisciplinary and unique collaborative environment with diverse learning opportunities. The successful applicant(s) will work as part of a growing and energetic team investigating health at the interface of clinical epidemiology and infectious diseases in local and international contexts. The successful candidates will work together with the PI to develop models to understand the risk factors of healthcare associated infections, potential intervention strategies and the cost effectiveness of these interventions.

This position is based in Clinical Sciences Building, Nanyang Technological University.

Key Responsibilities:

Our lab seeks to hire motivated researchers to provide insights into the transmission of infectious diseases using novel computational methods. The successful candidate will work with the PI and the team to transform our understanding of infectious disease transmission dynamics.

• Develop models to understand the transmissibility of infectious diseases
• Develop models to understand the medium to long-term burden of infectious diseases across different spatial scales
• Undertaking literature reviews
• Leading on analysing data using statistical and data science techniques
• Leading on writing reports, presentations, and publication of results and findings in peer-reviewed journal
• Generating research questions
• Collaborating with researchers in other national and international institutions

Competencies and Qualification Requirements:

• Masters (Research Associate), Bachelors (Research Assistant), or equivalent in a related discipline. i.e statistics/epidemiology/data science. Post-graduate qualifications in other quantitative disciplines are welcome to apply.
• Background and research experience in epidemiology
• A strong interest in infectious diseases, spatial statistics and health data science
• Ability to communicate findings effectively
• Ability to work in a diverse and large team of researchers
• Well-organized and has an eye for detail
• Possess good written and verbal communication skills
• Possess the ability to work effectively in teams
• Have good proficiency in Statistical software (R)

It would be desirable for the candidate to:

• Have good proficiency in other programming languages, for example Python/C/C++
• Have a strong interest in learning quantitative skills

Why Join Us?

• 5 days work week
• Attractive Newcomer Bonus
• Career Progression & Development Opportunities
• Comprehensive Leave Packages (e.g: additional leave, birthday leave, eldercare leave, etc...)
• Executive Health Screening

Responsibilities & Duties:

• Execute 3-way matching of invoices, purchase orders, and receiving documents to ensure accuracy and compliance
• Verify supplier invoice quantity, unit rate and system data entry integrity
• Filing, administrative and any other ad hoc duties assigned by superior

Requirements & Qualifications:

• Minimum GCE ‘O’ level qualification
• Proficient in MS Excel, MS Word
• Proficient in ACCPAC sage system is an added advantage
• A good team player with initiative and sense of responsibility

Research Associates/Research Assistants are required for concurrent research projects in the laboratory of Assistant Professor Lim Jue Tao.

This project led by the Lee Kong Chian School of Medicine (LKCMed), Nanyang Technological University, will be conducted in collaboration with the Saw Swee Hock School of Public Health (SSHSPH), National University of Singapore, Singapore General Hospital, Tan Tock Seng Hospital and the National Centre for Infectious Diseases. This position will offer a multidisciplinary and unique collaborative environment with diverse learning opportunities. The successful applicant(s) will work as part of a growing and energetic team investigating health at the interface of clinical epidemiology and infectious diseases in local and international contexts. The successful candidates will work together with the PI to develop models to understand the risk factors of healthcare associated infections, potential intervention strategies and the cost effectiveness of these interventions.

This position is based in Clinical Sciences Building, Nanyang Technological University.

Key Responsibilities:

Our lab seeks to hire motivated researchers to provide insights into the transmission of infectious diseases using novel computational methods. The successful candidate will work with the PI and the team to transform our understanding of infectious disease transmission dynamics.

• Develop models to understand the transmissibility of infectious diseases
• Develop models to understand the medium to long-term burden of infectious diseases across different spatial scales
• Undertaking literature reviews
• Leading on analysing data using statistical and data science techniques
• Leading on writing reports, presentations, and publication of results and findings in peer-reviewed journal
• Generating research questions
• Collaborating with researchers in other national and international institutions

Competencies and Qualification Requirements:

• Masters (Research Associate), Bachelors (Research Assistant), or equivalent in a related discipline. i.e statistics/epidemiology/data science. Post-graduate qualifications in other quantitative disciplines are welcome to apply.
• Background and research experience in epidemiology
• A strong interest in infectious diseases, spatial statistics and health data science
• Ability to communicate findings effectively
• Ability to work in a diverse and large team of researchers
• Well-organized and has an eye for detail
• Possess good written and verbal communication skills
• Possess the ability to work effectively in teams
• Have good proficiency in Statistical software (R)

It would be desirable for the candidate to:

• Have good proficiency in other programming languages, for example Python/C/C++
• Have a strong interest in learning quantitative skills

Project Description:Luxoft looking for an experienced and motivated Data Engineers who will be based in Singapore office. The role will work closely with the account management, the services team and collaborate with the product teams.
He / she will join a team of experienced consultants and participate in the implementation and support of the application, the installation of new modules and features, and oversee the installation, configuration and, workflow definition and optimization using NeoXam cutting edge data management platform, DataHub.

Responsibilities:

• Accountable for high-impacting and challenging implementation projects, and acquire a global vision of the business processes at the world's top financial firms
• Provide best practice guidance to clients by leveraging technical expertise, NeoXam DataHub software knowledge and industry experience
• Design, configure, implement of NeoXam's DataHub software solutions based on client requirements
▪ Manage the overall design and configuration activity by ensuring the team follows configuration /
scripting / design guidelines.
• Identify and resolve any installation and implementation problems to the client's satisfaction within
established time frames
• Analyze the clients' needs, accompany and coach their teams and/or take charge of the product
implementation, meet clients' requests, manage the client relation and coordination of the project.
• Provide project management leadership under the responsibility of the Account Manager or Project
Director
• Develop and conduct product training workshops for clients
• Provide presales consultancy by assisting the sales teams with presentations, Proof of Concept,
implementation expertise, etc.

Mandatory Skills Description:

• Engineering or Business school, Master's degree or equivalent
• Up to 7-8 years of experience in data engineering / data modelling space
• Banking / Capital Markets domain experience is mandatory
• Hands-on coding experience in scripting language like Shell, Bash, Python, VB , Java Script. Candidate should be able to adapt to new programming language(s).
• Previous project experience with involvement in multiple stages of the project life cycle
• Independent, with own initiative and good interpersonal skills and are concerned about the quality of service provided
• Proactive and a real team player
• Excellent communication skills (verbal and written)

Nice-to-Have Skills:

• Experience with RDBMS, Data Modeling, and SQL language
• Understanding of Enterprise Data Management and ETL techniques and processes
• Previous experience of financial data provider feeds such as Bloomberg, Refinitiv, ICE and others
• Knowledge of financial instruments such as Equities, Fixed Income and Derivatives

Project Description:Hiring to create the future ready Data & Analytics professional!
Luxoft, a DXC Technology Company has embarked upon an extensive multi-year program to hire and upskill professionals and engage them in projects involving cutting edge data & analytics solutions for our extensive global clientele.
If you wish to progress your career into next gen data engineering, visualization, and advanced analytics solutions this opportunity is for you. We seek highly energetic Fresh Professionals with 0 to 3 years or Mid-Career Professionals with more than 3 years of experience having fundamental programming skills, analytical thinking, data concepts and a great passion to learn. Prior extensive experience in data & analytics projects is not mandatory but a definite plus.
Applicants need to be Singapore citizens.
This engagement shall involve an extensive 12 months training program (for Fresh Professionals) and 6 months training program (for Mid-Career Professionals) well interlaced with embedded on the job training in live internal or client projects. Post completion of training the candidate shall be certified as a "Data Warehouse & Big Data Professional" ready to be immediately deployed into client projects

Training details
In the course of this engagement candidates shall be trained on a variety of cutting edge data & analytics technologies such as:
1. Data modelling using different schema patterns such as Star/Snowflake/DataVault in Data Warehouse or Data Mining
2. Python programming
3. Hadoop architecture & HDFS storage platforms
4. Tools like Sqoop for Ingestion of data from source systems to HDFS
5. Apache Kafka architecture to create topics and partitions
6. ETL job development, monitoring & optimization using Hive script & Impala
7. Spark programming - Spark SQL, Spark Streaming
8. Data pipeline setup, analysis, insights & analytics using end to end data solutioning platforms such as Cloudera leveraging cloud infrastructure on AWS or Azure
9. Data quality, governance & security technologies

Training program shall also include other topics such as:
1. Communication management
2. Stakeholder management
3. Change management
4. Creative & computational thinking
5. Business analysis

Possible Roles post training period:
1. Data engineer
2. Data architect
3. Data visualization & analytics expert
4. Advanced data analytics expert
5. AI/ML expert

Responsibilities:

• Demonstrate passion to learn cutting edge big data technologies
• Consistently participate in the training sessions and learning programs
• Actively engage and apply learnings into live internal or client projects during course of the training

Mandatory Skills Description:

• A good degree, postgraduate or Diploma qualification in IT Engineering
• Fresh Professionals (0-3 years of work experience) or Mid-Career Professionals (3+ years of work experience) in IT, along with good knowledge in data structures, SQL and Java OR Python
• Analytical and problem-solving skills
• Strong written and spoken communication skills and interpersonal skills

Nice-to-Have Skills:

• Fundamental understanding of Big Data concepts (academic trainings or certifications)
• Experience in financial services domain

Job Description

e2i’s Career Centre is one of the key national nodes where jobseekers seek new opportunities and work towards being employed and employable. We are currently building our career and jobs centre operation team. Specific to the role, as a Specialist, you will be an integral part of the Career Centre operations, which runs the day-to-day activities and events of the career centre.

Your responsibilities include:

• Harmonizing processes across all career and jobs centres
• Have good understanding of the current employment landscape and the openness to find out more about current employability trends
• Ensuring that our data from various data sources are managed well, the collection process is streamline and accurate
• Prepare information in a reporting format for sharing with management to make decisions which will impact the lives of jobseekers who use our services
• You would need some experience dealing with clients as you would also liaise with internal and external stakeholders on career centre related queries
• Willing to be deploy to do career centres check at different touchpoints
• Able to work across-teams to manage events/activities deployment and tracking of masterlist
• Assisting in the cleaning and keying of data, and tracking of clients’ cases into case management system
• Creating solutions for process improvement in the provision of career services

Job Requirements

• Driven, result oriented and able to work independently.
• High proficiency in using systems, Microsoft Office tools, such as PowerPoint & Excel to analyse & present data.
• Meticulous, innovative and able to adapt to change – in the workplace and employment landscape.
• Team player with strong interpersonal, writing and communication skills.
• Able to relate to all levels of jobseekers/working people and cultivate a strong relationship with partners and stakeholders on career services matters.
• Able to work in a fast-paced environment and deliver the work within tight deadlines.

Only Singaporeans may apply.

Designation and salary will commensurate with experience.

We will only contact shortlisted candidates

We are looking for Data Engineer to join a fast growing IT software company in Singapore!

• Salary up to $7,000 + AWS + Performance Bonus (attractive salary package & benefits)
• Permanent position with great career progression
• Be part of the fun team to involve in multiple projects

Responsibilities:

• Develop, construct, test and maintain data architectures such as databases, data warehouses and large-scale data processing systems
• Design and develop data pipelines/systems for data modelling, mining and production
• Ensure the data architecture is in place to support routine and ad-hoc requirements of data analytics team, stakeholders and the business
• Leverage on variety of programming languages and data crawling/processing tools to make raw data clean and highly available for use in descriptive and predictive modelling
• Recommend and implement ways to improve data quality, reliability, flexibility and efficiency
• Ensure data assets and data catalogs are organized and stored in an efficient way so that information is easy to access and retrieve
• PL/SQL and SQL Tuning and optimization of newly develop and existing applications

Requirements:

• 3 years' working experience in data architecture, data warehousing, data processing, data modelling, ETL/ELT and database development (Oracle SQL/PLSQL)
• Working experience in AWS cloud environment, database optimization & performance tuning
• Hands-on experience in collecting and massaging structured/unstructured/semi-structured data
• Experience in database optimization & performance tuning and Oracle Database

Interested candidates may apply via email to [email protected] (indicating Job ID J44085 for faster processing). All job applications will be processed with strict confidence and only shortlisted candidates will be contacted.

Liew Chien Hui - R2090138

ScienTec Consulting Pte Ltd - 11C5781

Roles & Responsibilities

• Recording Transactions: Record daily financial transactions, including sales, purchases, receipts, and payments in accounting software (Auto Count).
• Accounts Receivable and Payable: Monitor and manage accounts receivable and accounts payable, ensuring timely collections and payments.
• Bank Reconciliation: Perform monthly bank reconciliations
• Tax Compliance: To prepare necessary documentation for tax filings and assist in audits.
• Payroll Support: Assist in payroll processing
• Documentation and Filing: Maintain organized and secure financial records, in physical and digital formats.
• Obligatory Submissions: Assist in filing for GST quarterly as well as submission of CPF monthly.
• Others: Administrative duties including answering calls and attending emails.

Working Hours: 9am - 5.30pm

Job Type: Full-time

Schedule:

• Monday to Friday

Supplemental pay types:

• 13th month salary

• Prepare customer invoices
• Print and mail out invoices
• Prepare, verify and check various logistics billing cost items, charging methods and reports.
• To ensure that all shipments are invoiced accurately and closed within the stipulated time frame; and accurate updating of the system for each shipment.
• Follow up with customers on payments
• To liaise with Customer service and sales departments for quotations related to the files for invoicing.
• Other ad-hoc duties

Requirements:

• Minimum 1-2 years relevant experience, preferably in Shipping and Logistic industry
• Proficient in MS Office
• Fast learner, hardworking, attention to details, responsible
• 5 days week
• Work at Jurong Port
• Able to start immediately is a plus
• Candidate must possess at least a Primary/Secondary School/"O" Level, Higher secondary/Pre-U/A level/College, Professional Certificate/NiTEC, any field.
• At least 1 year(s) of working experience in the related field is required for this position.
• Preferably Junior Executives specializing in Clerical/Administrative Support, Logistics/Supply Chain or equivalent.

Benefits
✨ Transport provided
✨ Meals provided
✨ Training provided, no experience required
✨ Multiple vacancies

Location: Clementi (Nearest MRT)
Duration: 3 months contract / Long term

Working hours:
Shift 1: 830am to 530pm
Shift 2: 7am to 3pm ($4/shift)
Shift 3: 230pm to 11pm ($18/shift)
Salary: Basic up to $2,400 + Shift allowance + OT + AWS + VB

Job scope:
- Operating of machines
- Blending and mixing of powders and liquids
- Packing of liquid materials from drums

Job requirement:
- Nitec/Diploma in any field
- Singaporean only

Interested candidates may apply via email to [email protected] (indicating Job ID J43151 for faster processing). All job applications will be processed with strict confidence and only shortlisted candidates will be contacted.

Poh Tze Qi (Kayley) - R2197837

ScienTec Consulting Pte Ltd – 11C5781