☑ Location: One North

☑ 5 Days 9: 00am – 6: 00pm

☑ 6 months renewable

☑ Salary up to $2500

☑ Healthcare MNC

☑ No Exp welcome !! Training Provided!!

Job Description

• Verify sales/service invoices against purchase orders and delivery orders.
• Upload invoices with delivery orders using AP-Direct or Esker.
• Email merged invoices with delivery orders to customers.
• Send monthly Statements of Account to customers and handle daily customer receipts.
• Assist senior accountant with AR collection issues and update receivables schedule.

Requirement:

• Nitec/ Higher Nitec or Diploma in Accounting or any Business-related studies.
• Proven experience in Accounts Receivables or ERP proficiency is highly advantageous.
• Keen learner with strong attention in details.

Interested applicants are welcome to apply online with updated Resume/CV via Apply Now button

Only shortlisted candidate will be notified

Kam Soo Leng(Yvette )

Registration: R22107492

Do you want to help create the future of healthcare? Our name, Siemens Healthineers, was selected to honor our people who dedicate their energy and passion to this cause. It reflects their pioneering spirit combined with our long history of engineering in the ever-evolving healthcare industry.

We offer you a flexible and dynamic environment with opportunity to go beyond your comfort zone in order to grow personally and professionally. Sounds interesting?

Then come in and join our global team as Data Visualization & Business Intelligence Specialist (12 months Contract) within the People Insights & Analytics team to implement large-scale Business Intelligence and Reporting solution for the Human Resources function.

Your tasks and responsibilities:

• You will be responsible for the end-to-end design and development of QlikSense BI and reporting.
• You will be responsible for the unit and integration testing, provide release management instructions through UAT and production environments.
• You will ensure quality data creation, visualization, and data flow across systems.
• You will develop clear administrator and user documentations.
• You will closely collaborate with technical stakeholders such as Data Architects, Data Modelers, Enterprise and Platform Architects, and Project Managers.

To find out more about the specific business, have a look at https://www.siemens-healthineers.com/

Your qualifications and experiences:

• You have a master’s degree/ bachelor’s degree/ diploma in a science-based program and/or quantitative discipline with an emphasis on Business Analytics.
• You have several years of professional experience in working with the Qlik product stack (Qlik Cloud, QlikSense, QlikView, NPrinting).
• You have significant experience in developing QlikSense applications; Certification in Qlik is considered a plus.
• You have in depth experience in building self-serve BI reports and dashboards.
• You have strong experience in consuming data models, developing SQL, addressing data quality issues, proposing BI solution architecture, and articulating best practices in end-user visualizations – several years of database development experience using star schema a must.
• You have experience in developing functional and technical requirements.
• You have experience with ETL tools assessing data quality and developing remediation plans with the ability to design and develop ETL processes to extract data from various sources.
• You have knowledge of data warehousing concepts and architecture.

Your attributes and skills:

• This role requires outstanding organization skills combined with critical thinking, problem-solving and agile management tools to support team success.
• You have strong communications (verbal and written) and decision-making skills.
• You have excellent time management and organizational skills a must for multi-task environment.
• You are self-directed with proven ability to work as part of a client-consultant team.
• You are a diplomatic problem solver.
• Client management skills a plus.
• You are inquisitive, proactive, and interested in learning new tools and techniques.
• Comfortable working in a dynamic and global environment where members of the team are geographically dispersed.
• You are able to communicate fluently in English with team members from various national and cultural backgrounds.

Our global team:

We are a team of 71,000 highly dedicated employees across more than 70 countries passionately pushing the boundaries of what’s possible in healthcare to help improve people’s lives around the world. As a leader in the industry, we aspire to create better outcomes and experiences for patients no matter where they live or what health issues they are facing. Our portfolio, spanning from in-vitro and in-vivo diagnostics to image-guided therapy and innovative cancer care, is crucial for clinical decision-making and treatment pathways.

Our culture:

We are part of an incredible community of scientists, clinicians, developers, researchers, professionals, and skilled specialists pushing the boundaries of what’s possible, to improve people’s lives around the world. We embrace a culture of inclusivity in which the power and potential of every individual can be unleashed. We spark ideas that lead to positive impact and continued success.

We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. We ask instead that you create a profile in our talent community where you can upload your CV. Setting up a profile lets us know you are interested in career opportunities with us and makes it easy for us to send you an alert when relevant positions become open. Click here to get started.

To all recruitment agencies: Siemens Healthineers does not accept agency resumes. Please do not forward resumes to our jobs alias, employees or any other company location. Siemens Healthineers is not responsible for any fees related to unsolicited resumes.

ey areas of responsibility

• Responsible for handling full set of accounts, including (AP / AR / GL) & ensure timely preparation/review of monthly accounts and financial statements
• Handle audit & tax queries and provide information as required by external auditors
• Preparation of schedules for all Profit & Loss (P&L) and Balance Sheet (B/S) items
• Monthly closing, Bank reconciliation, and etc.
• Assist in all financial related matters and any ad hoc projects

Requirements

• Familiar with Singapore Accounting Standards and reporting requirements
• Knowledge of accounting software, especially in JDE system is an advantage
• Good interpersonal and communication skills
• Ability to communicate in Mandarin in order to effectively communicate with the stakeholder based in China.
• Candidate should possess at least a Diploma / Degree in Business, Finance, Accounting or equivalent or a professional certification in Finance and Accounting
• Multi-tasking, high commitment and strong sense of urgency towards deadlines
• An analytical mind, disciplined and ability to work independently

Key Responsibilities

• Knowledgeable in data analysis and interested in operations management, document management and virtual knowledge-space construction
• Having working knowledge of the biopharma environment is preferred
• Responsible for the use of data science methods in the management of departmental resources including physical inventory, the purchasing and tracking of lab materials, and other consumables
• Helps with providing data set to help management make operational, administrative and HR decisions such as the data visualization, retrieval and the tracking of training records
• Serves as the liaison between Quality, and EHS department and various production groups, responsible for departmental document management and distribution; responsible for departmental safety and quality inspections and gathering feedback
• Complete other tasks assigned by the supervisor related to the smooth running of the department

Key Requirements

• Diploma / Bachelor’s degree in Cell biology, Molecular Biology, Biomedicine and other related majors is preferred
• Preferred internship period - Aug to Dec 2024
• Good experimental habits, ability to process and analyze data and solve problems, and strong execution skills
• Proficiency in operating MS Office suite software
• Knowledge of quality as it pertains to a manufacturing setting
• Mastery of the relevant rules and regulations involved in the position

Siemens Mobility is an outstanding place to have a career in an innovative environment. Siemens Mobility Rail Infrastructure business supplies the global markets of rail and road-bound transport with innovative products and solutions for Rail Automation, Rail Electrification and in the area of intermodal mobility, apps and backend systems.

What are my job responsibilities?

• Design and Development: Design and develop data-driven solutions tailored for applications in the railway industry, addressing the unique challenges and requirements of this sector.
• Solution Articulation: Clearly articulate how the designed solutions address specific use cases, translating complex business requirements into comprehensive technical specifications. Potential with good potential might be further developed into Solution Architect/Date Architect role
• Collaborative Conceptualization: Work closely with Business Analysts, Domain Experts, Data Scientists, and Developers to transform business requirements into solution concepts. This collaboration ensures the seamless integration and consistency of the proposed solutions across various domains.
• Data Ingestion Pipeline Construction: Participate in the development of reliable and robust data ingestion pipelines for the Railigent platform, hosted on the AWS cloud. These pipelines are crucial for the efficient and effective ingestion of data into the system.
• Innovation and Optimization: Engage in Proof of Concept (POC) activities or explore new tools and technologies aimed at providing optimized solutions for diverse customers in the railway industry.
• Maintenance and Problem-Solving: Demonstrate a thorough understanding of the current development environment to effectively identify and resolve issues within existing and newly developed data ingestion pipelines, ensuring their optimal performance and reliability.

What do I need to qualify for this role?

• Educational Background: A degree in Computer Science, Computer Engineering, or a related field is required.
• Professional Experience: A minimum of 3 years of experience in a Data Engineer role or a similar position is essential.
• Programming Skills: Proficiency in coding languages such as Python, Java, or Scala is mandatory.
• Experience in scripting languages like Shell, Groovy, or Curl and familiarity with Unix/Linux commands is required.
• Database and Querying Expertise: Demonstrable experience and knowledge in writing SQL/HQL queries.
• Cloud-Based Data Management: Understanding and experience in implementing cloud-based data management solutions, with a preference for AWS expertise.
• Database Technologies: A solid understanding of both NoSQL and SQL databases, including but not limited to Hive, MySQL, and MongoDB/Cassandra.
• Data Operations Knowledge: Comprehension of deployment orchestration, job scheduling, as well as concepts of Data Catalog and Data Governance.
• Containerization and Orchestration Tools: Hands-on experience with Docker and Kubernetes is highly advantageous and will be considered a plus.
• Communication Skills: The ability to clearly articulate and discuss technical issues with both technical and non-technical stakeholders.

We support a diverse workforce.

Siemens is a proud equal opportunity employer, creating a work environment of diversity and inclusion. Our diverse workforce cultivates Innovation and Excellence and in turn creates a workplace where our employees belong and prosper. Diversity and inclusion help us fully realise the potential of our people. As part of Siemens Ownership culture, Siemens also genuinely supports reasonable flexible working practices that empower our employees to best meet work and personal commitments.

Why Work for Us - We Power the Nation

Make the most of your talents and develop products that can create impact on a national scale. We are an in-house data and AI team, assembled to move with speed and deliver with quality.

We Build Reliable Solutions - For Customers, Company and Country

You will be part of the AI Centre of Excellence (CoE) team within SP Digital and together, you will innovate, create, and deploy data and digital products and services that will empower more than 3,800 employees within SP Group and improve the quality of life for the 1.5 million commercial, industrial and residential customers that SP Group serves. We build solutions that enable sustainable high-quality lifestyles and help consumers save energy and utility cost, as well as supporting national goals for a sustainable liveable city. Now, imagine the impact you can create.

SP Digital aims to use cutting edge technologies to help SP Group to revolutionize future utility/energy industry by providing better services and more efficient energy solutions to our customers. Data charter consists of data engineering, business intelligence, data science/machine learning and POC/pilot teams. We oversee and drive all data and AI initiatives for SP group. It includes the following:

• Build next generation data infrastructure to collect/process/analyse different data from utility consumers, grid assets and new sustainable energy solutions.
• Discover the business problems/opportunities and design data-driven solutions to improve operation/ business/ customer experience.
• Uncover the actionable insights for multiple stakeholders to drive business growth.

The mission of the AI-CoE team is to help SP to become a data-driven company and create data-centric products. As an AI-CoE team member, you will be responsible for designing, developing and deploying data-driven solutions to create business value. We are looking for a data analyst who will help us process a myriad of business data and discover patterns and insights hidden in the data. Your primary focus will be in applying data wrangling and data pre-processing techniques to build high quality data marts and extract insights from these data marts to improve our customer facing products and services. You will work closely with internal stakeholders and business owners and data engineers to understand the business requirements, in-house infrastructure and help build solutions for different business users.

What You'll Do

• Understand the business logics from domain experts and come up with feasible plans for the preparation of various data.
• Enhance existing data via data wrangling, perform data pre-processing, cleansing, and feature engineering.
• Apply appropriate data visualisation techniques and create data dashboards to present the required insights to the business users and prepare data reports to communicate your findings.
• Build agile data products and services with a team of data engineers, scientists and business users.
• Do ad-hoc analysis and present results in a clear and unambiguous manner.

What You'll Need

We are looking for Passion and Data Proficiency

• Data-oriented personality and ideally has experience in software engineering practices.
• Excellent understanding of visualization techniques, and their pros and cons for different analyses.
• Experience with common data dashboarding tools such as Power BI.
• Experience with data visualization tools such as D3.js, matplotlib, etc.
• Proficiency in using query languages such as SQL.
• Good understanding of statistics, such as different probability distributions and A/B testing.
• Good understanding of Computer Science/Engineering, Applied Mathematics, Business Intelligence/Analytics or other related areas.

We regret that only shortlisted candidates will be notified.

Key Responsibilities:

• Perform purification of mammalian recombinant antibodies and proteins using various chromatography methods such as affinity chromatography, ion exchange chromatography, and size exclusion chromatography
• Develop and implement purification schemes based on order requirements
• Maintain accurate records of purification experiments and ensure data integrity
• Contribute to multiple R&D projects as a member of the project team
• Draft and update Standard Operating Procedures (SOPs) and prepare reports to document work experiences
• Manage laboratory instruments and perform maintenance as needed
• Assist with other tasks as assigned by the supervisor

Key Requirements:

• Bachelor's or Master's degree in Biological Sciences, Bioengineering, Chemical Engineering, or related fields
• Proficiency in protein/antibody purification techniques
• Strong troubleshooting skills to address experimental challenges
• Excellent communication skills, both verbal and written
• Ability to work effectively in a team-oriented environment

Responsibilities:

• Handle user account requests, ensuring accuracy and compliance with established protocols
• Maintain a methodical record of user account details and updates in designated database
• Respond to user inquiries regarding account requests in a timely and professional manner
• Collaborate with other team members to streamline account request processes
• Generate regular reports on account status, user activity, and other relevant metrics
• Provide administrative support and any other ad-hoc duties, if assigned

Qualifications and experience:

• Fresh ITE/Polytechnic graduates are welcome to apply
• Proficient in using office software for data entry, communication and report generation

Location: Buona Vista

Salary: TBA

Contract Period: 9 months

• Develop and maintain scalable data pipelines, automating data flows and ensuring efficient data transfer between
systems.
• Create and maintain data connectors via APIs, enabling seamless integration across various data sources.
• Manage and optimize Google BigQuery for data warehousing, ensuring the quality and integrity of data from
capture to reporting.
• Leverage technologies such as Python, R, Airflow, and dbt for data orchestration, analysis and automation.
• Collaborate with cross-functional teams, including IT, Digital Learning, and divisional teams, to streamline processes
and establish data management best practices.
• Assist with the development of interactive data dashboards in Looker Studio and other visualization tools, providing
insights for faculty, staff, and management.
• Design and implement data visualizations, ensuring adequate, accurate, and legitimate data collection techniques.
• Maintain updated documentation and manage change processes for data systems, adhering to data governance
standards.
• Stay updated with the latest technological trends in educational software and data systems, recommending and
adapting new solutions.
• Serve as the main point of contact between data owners, identifying data issues, and providing technological
solutions.
• Assist in project management, including formulating strategies for effective data use and producing knowledge
base and training materials.

Qualifications
• Degree in Computer Science, Data Science, Data Engineering, or a related field, with relevant certifications.
• At least two years of experience in data automation and engineering, with a portfolio that includes academic
projects or work.
• Proficiency in data engineering and automation technologies, including advanced SQL, JavaScript, CSS, HTML, and
version control systems like Github or SVN.
• Experience with data visualization tools like Looker Studio and data warehousing tools such as BigQuery.
• Understanding of various database types (Relational, NoSQL, etc.), and OLAP/OLTP systems.
• Familiarity with machine learning and predictive analytics is highly desirable.
• Strong analytical skills, with the ability to resolve technical issues systematically.
• Excellent verbal and written communication skills, with a positive and growth mindset.
• Ability to work independently, maintain confidentiality, and manage time effectively.
Contacts
• Students, Staff and Vendors

Working Conditions
• School Environment
• Working hours 8am to 5pm, Monday to Friday

About the job

The candidate with coding, and development knowledge will help Durapower to fully recognize Digital value and help them substantially create more business value and most importantly contribute to the shared vision of Durapower.

Where you fit

Durapower has been pioneering in electric cell manufacturing for over 12 years and has seen the landscape develop from early adopters into the early majority. Today they are working together with other leaders in the industry to shape the future of e-mobility and stationary storage of lithium-ion batteries. It has a presence across 21 markets across the globe headquartered in Singapore. This role is key to the success of the group's shared vision to build a robust Digital capability centered around new energy innovation and cater to decarbonized energy demand for the future.

The Digital leadership team is part of Innovation CoE, and includes a dedicated implementation team to act as the bridge between product R&D, business, and external ecosystem

What’s the role?

• As a Battery Insights Date Scientist in Singapore, you will architect and maintain robust data systems. Collaborate with cross-functional teams to integrate diverse data sources, enabling accurate analysis of battery performance. Develop predictive models and work with data scientists to extract actionable insights, driving innovation in battery technology.
• Stay updated on industry trends to shape data initiatives and ensure our position at the forefront of the sector. Join us in this dynamic role, contributing to informed decision-making and continuous advancements in battery technology.

Key Expectation:

• Efficient Data Architecture: Design and maintain effective data pipelines and systems for seamless integration of diverse battery-related data sources, ensuring efficient and accurate representation.
• Collaborative Insight Generation: Collaborate with cross-functional teams, data scientists, and analysts to transform raw data into actionable insights, developing predictive models that contribute to strategic decision-making in the battery technology sector.
• Continuous Innovation: Stay abreast of industry trends and advancements, providing recommendations to shape data initiatives that keep our organization at the forefront of innovation in battery technology.

Key success measure for the role

• Data Accuracy and Integrity: Success in this role is measured by the accuracy and integrity of the data systems implemented, ensuring that insights derived from battery-related data are reliable and actionable.
• Innovation Impact: The role's success is also measured by the impact on innovation within the battery technology sector, including the development of predictive models and contributions to strategic decision-making that drive advancements in the field.

Core Responsibilities are as follows:

• Data Architecture: Design, build, and maintain robust data pipelines and systems to efficiently collect, store, and analyze diverse battery-related data.
• Integration and Collaboration: Collaborate with cross-functional teams to integrate data from various sources, ensuring a comprehensive and cohesive representation of battery performance metrics.
• Predictive Modeling: Develop and implement predictive models to extract meaningful insights, contributing to strategic decision-making in the battery technology sector.
• Data Analysis: Work closely with data scientists and analysts to identify patterns, trends, and anomalies in the data, translating raw information into actionable insights.
• Innovation and Trends Monitoring: Stay updated on industry trends and advancements, providing recommendations to shape data initiatives that keep the organization at the forefront of innovation in battery technology.

What We Need from You

• University or Master’s degree in Computer Science, Data Science, or a related field.
• Demonstrable experience as a Date Scientist, with a focus on designing and implementing data architectures and pipelines, particularly in the context of battery-related data
• Proficiency in data modeling and design, including SQL scripting and database administration
• Strong proficiency in relevant programming languages (e.g., Python, Java), data modeling, and database management systems. Experience with tools such as Apache Spark and familiarity with cloud platforms (e.g., AWS) is a plus.
• Experience in developing and implementing predictive models to extract insights from complex datasets, contributing to informed decision-making.
• Understanding of battery technology, energy storage systems, and a keen interest in staying abreast of industry trends and advancements
• Natural curiosity, creative and critical thinking with a learner mindset
• Effective communication skills to collaborate with cross-functional teams and convey insights to non-technical stakeholders are essential

☑ Location: One North

☑ 5 Days 9: 00am – 6: 00pm

☑ 6 months renewable

☑ Salary up to $2500

☑ Healthcare MNC

☑ No Exp welcome !! Training Provided!!

Job Description

• Verify sales/service invoices against purchase orders and delivery orders.
• Upload invoices with delivery orders using AP-Direct or Esker.
• Email merged invoices with delivery orders to customers.
• Send monthly Statements of Account to customers and handle daily customer receipts.
• Assist senior accountant with AR collection issues and update receivables schedule.

Requirement:

• Nitec/ Higher Nitec or Diploma in Accounting or any Business-related studies.
• Proven experience in Accounts Receivables or ERP proficiency is highly advantageous.
• Keen learner with strong attention in details.

Interested applicants are welcome to apply online with updated Resume/CV via Apply Now button

Only shortlisted candidate will be notified

Kam Soo Leng(Yvette )

Registration: R22107492

Job Description & Requirements

• Handle all aspects of reservations for hotel booking
• Answer incoming telephone calls and handle bookings upon inquiry
• Liaise directly with the Manager on duty for daily arrivals
• Handle room allocation
• Answer emails for reservations with inquiries and confirmed bookings
• Handle on line travel agent bookings and answer inquires
• Handle guest requests and dispatch to relevant departments
• Daily filing of reservations paper work
• Compliant to company’s Policies and Procedures relating to guest services for reservations and front office functions

Job Requirement:
• Preferably someone who has good computer skills
• Great team player
• Self-starter and independent worker
• Can work with positive attitude, welcomes challenge with positive outlook and work like a family at Ibis Styles
• Requires Shift Work and able to work during weekends
• Experience in Reservations
• keen to pursue career in hospitality and eager to learn and grow in our organisation

Interested candidates, please send your CV to [email protected] and [email protected]

Responsibilities:

• Conducting product research and sourcing new suppliers and vendors.
• Sourcing materials, goods, products, and services and negotiating the best or most cost-effective contracts and deals.
• Performing inventory inspections and reordering supplies and stock as necessary.
• Conducting market research to keep abreast of emerging trends and business opportunities.
• Inspecting stock and reporting any faulty items or inconsistencies immediately.
• Updating and maintaining records of all orders, payments, and received stock.
• Coordinating with the delivery team and following up on delays or orders that have been rescheduled.
• Attending product launches and networking with industry professionals.
• Establishing professional relationships with clients as well as vendors and suppliers.
• Ensuring all stock is packaged appropriately and delivered to the correct location in a timely manner.

Job Scope:

· To assist SCD managers to collect, confirm and compile school FM asset from various MOE schools.

· This includes scheduled visits to different schools across Singapore to collect, confirm and compile FM asset data and performing due diligence checks on existing data.

· Good IT skills with proficiency in MS Excel is essential.

· Physically fit and able to walk for long periods.

· Able to work under tight timelines.

· Able to work closely with school representatives and managing agents.

· Meticulous and able to work with minimum supervision.

· Possessing own transportation is an advantage.

Requirement:

· Experience in estate management, building maintenance, building related experience in consultancy or Managing Agent firms, preferably with a minimum of 1 year in the respective position/field.

· Preferably candidates with mechanical, electrical engineering or facility management background

· Diploma or Degree in building related disciplines (e.g., estate management, building maintenance, architectural, quantity surveying, civil/ structural/ mechanical or electrical engineering)

· Those without a building-related diploma or degree, and with relevant experience and expertise may also apply.

Working Location: Ghim Moh Rd

Salary: TBA

Contract: 3 months

Working Arrangement:

· Fridays: 8:30am to 5:30pm, inclusive of 1hr lunch break

· Service not required on Saturdays, Sundays and gazetted public holidays.

Typically, 4 days on-site (schools) and 1 day in office.

Responsibilities:

• Conducting product research and sourcing new suppliers and vendors.
• Sourcing materials, goods, products, and services and negotiating the best or most cost-effective contracts and deals.
• Performing inventory inspections and reordering supplies and stock as necessary.
• Conducting market research to keep abreast of emerging trends and business opportunities.
• Inspecting stock and reporting any faulty items or inconsistencies immediately.
• Updating and maintaining records of all orders, payments, and received stock.
• Coordinating with the delivery team and following up on delays or orders that have been rescheduled.
• Attending product launches and networking with industry professionals.
• Establishing professional relationships with clients as well as vendors and suppliers.
• Ensuring all stock is packaged appropriately and delivered to the correct location in a timely manner.

We are currently seeking a motivated and detail-oriented individual to join our team as a Customer Service & Administrative Representative. In this role, you will be the first point of contact for our clients, providing them with support and guidance and also assist with various administrative tasks to ensure the smooth operation of our office.

Key Responsibilities:

• Serve as the primary point of contact for client inquiries via phone, email, and in-person visits.
• Provide timely and accurate information to clients regarding our services, pricing, and processes.
• Liaise with our technical team to ensure timely updates and resolutions for client cases.
• Maintain organized records of client communications, case files, and billing information.
• Assist with general administrative duties such as scheduling appointments, managing office supplies, and processing payments.
• Other ad-hoc duties as assigned.

Qualifications:

• Prior experience in customer service, administrative support, or a related field.
• Excellent communication skills, both verbal and written.
• Strong interpersonal skills with a customer-centric approach.
• Ability to multitask and prioritize tasks effectively in a fast-paced environment.
• Proficiency in Microsoft Office Suite (Word, Excel, Outlook) and basic computer skills.
• Experience with data entry and record keeping is a plus.

In your new role you will:

• Be part of a global pioneer team to implement Scheduling Optimization solutions to enable next level of smart manufacturing on dispatching &scheduling
• Develop, systemize and deploy ETL (Extract, Transform, Load) models to enable digital twins for manufacturing facilities optimization
• Responsible for the technical improvements of Data Automation- components
• Participate in the data exploration, and be responsible for improving data quality and productivity, and including massive data processing, data analysis, data validations
• Summarize and clearly communicate data analysis assumptions and results
• Collaborate with stakeholders to take ambiguous problem statement, refine the scope of the analysis, and use the results to drive informed decisions
• Provide user consultancy support & training for Data Automation
• Key-Interface to multi-disciplinary stakeholders like production, supply chain, industrial engineering and capacity planning

You are best equipped for this task if you have:

• Bachelor’s Degree in Computer Science / Data Science / Industrial Engineering is preferred
• 1 to 5 years of related working experience is preferred but fresh graduates are welcome to apply for entry level
• Knowledge on Data Automation like ETL (Extract, Transform, Load)modeling is preferred
• Experience in Manufacturing Execution System (MES) and ETL Tools will be an advantage
• Excellent communication and interpersonal skills, and able to work both independently and a team player in a global setup
• Ability to identify and build abstractions and tools to solve recurring challenge
• Good analytical and problem solving skills

Metaschool produces courses for devs to build, ship, and learn Web3.

We’re a decentralized, remote-first company with teammates based in Singapore, India and Pakistan. We are divided by borders, but our common mission to help developers build and flourish in the web3 ecosystem has brought us very close.

Our Core Values:

Metaschool produces courses for devs to build, ship, and learn Web3.

We’re a decentralized, remote-first company with teammates based in Singapore, India and Pakistan. We are divided by borders, but our common mission to help developers build and flourish in the web3 ecosystem has brought us very close.

Our Core Values:

About the job

The candidate with coding, and development knowledge will help Durapower to fully recognize Digital value and help them substantially create more business value and most importantly contribute to the shared vision of Durapower.

Where you fit

Durapower has been pioneering in electric cell manufacturing for over 12 years and has seen the landscape develop from early adopters into the early majority. Today they are working together with other leaders in the industry to shape the future of e-mobility and stationary storage of lithium-ion batteries. It has a presence across 21 markets across the globe headquartered in Singapore. This role is key to the success of the group's shared vision to build a robust Digital capability centered around new energy innovation and cater to decarbonized energy demand for the future.

The Digital leadership team is part of Innovation CoE, and includes a dedicated implementation team to act as the bridge between product R&D, business, and external ecosystem

What’s the role?

• As a Battery Insights Date Scientist in Singapore, you will architect and maintain robust data systems. Collaborate with cross-functional teams to integrate diverse data sources, enabling accurate analysis of battery performance. Develop predictive models and work with data scientists to extract actionable insights, driving innovation in battery technology.
• Stay updated on industry trends to shape data initiatives and ensure our position at the forefront of the sector. Join us in this dynamic role, contributing to informed decision-making and continuous advancements in battery technology.

Key Expectation:

• Efficient Data Architecture: Design and maintain effective data pipelines and systems for seamless integration of diverse battery-related data sources, ensuring efficient and accurate representation.
• Collaborative Insight Generation: Collaborate with cross-functional teams, data scientists, and analysts to transform raw data into actionable insights, developing predictive models that contribute to strategic decision-making in the battery technology sector.
• Continuous Innovation: Stay abreast of industry trends and advancements, providing recommendations to shape data initiatives that keep our organization at the forefront of innovation in battery technology.

Key success measure for the role

• Data Accuracy and Integrity: Success in this role is measured by the accuracy and integrity of the data systems implemented, ensuring that insights derived from battery-related data are reliable and actionable.
• Innovation Impact: The role's success is also measured by the impact on innovation within the battery technology sector, including the development of predictive models and contributions to strategic decision-making that drive advancements in the field.

Core Responsibilities are as follows:

• Data Architecture: Design, build, and maintain robust data pipelines and systems to efficiently collect, store, and analyze diverse battery-related data.
• Integration and Collaboration: Collaborate with cross-functional teams to integrate data from various sources, ensuring a comprehensive and cohesive representation of battery performance metrics.
• Predictive Modeling: Develop and implement predictive models to extract meaningful insights, contributing to strategic decision-making in the battery technology sector.
• Data Analysis: Work closely with data scientists and analysts to identify patterns, trends, and anomalies in the data, translating raw information into actionable insights.
• Innovation and Trends Monitoring: Stay updated on industry trends and advancements, providing recommendations to shape data initiatives that keep the organization at the forefront of innovation in battery technology.

What We Need from You

• University or Master’s degree in Computer Science, Data Science, or a related field.
• Demonstrable experience as a Date Scientist, with a focus on designing and implementing data architectures and pipelines, particularly in the context of battery-related data
• Proficiency in data modeling and design, including SQL scripting and database administration
• Strong proficiency in relevant programming languages (e.g., Python, Java), data modeling, and database management systems. Experience with tools such as Apache Spark and familiarity with cloud platforms (e.g., AWS) is a plus.
• Experience in developing and implementing predictive models to extract insights from complex datasets, contributing to informed decision-making.
• Understanding of battery technology, energy storage systems, and a keen interest in staying abreast of industry trends and advancements
• Natural curiosity, creative and critical thinking with a learner mindset
• Effective communication skills to collaborate with cross-functional teams and convey insights to non-technical stakeholders are essential

In your new role you will:

• Analyze cost data of the assembly and test process
• Create reports, dashboards and databases to support the procurement team
• Set-up and facilitate cost modeling process for all outsourced products

You are best equipped for this task if you have:

• Passionate about data
• Passionate about reporting
• Passionate about data visualization, AI experimenting and automating processes
• Good communication skills to present your finding using data
• Entry level candidates may apply

• Well-Established in Optical Industry
• Working Location: Central
• Working Days: 5D work week (11am - 9pm)
• Salary Package: Basic Up to $2900 + Commissions + AWS

Job Responsibilities:

• Promote and provide excellent customer service to walk-in customers
• Cashiering
• Maintain workplace cleanliness
• Upsell products and hit targets
• Ad-hoc duties as per assigned

Requirements:

• O Level
• No experience needed
• On job training will be provided

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

Job Description:

You will process violation reports for offences administered by LTA and involved in handling the operations of a system printer, for the bulk printing of offence notices and letters. You will need to perform data entry, segregation of offence notices/letters and distribute to the respective parties.

Requirements such as qualifications, soft skills etc:

• GCE ‘O’ level or NITEC (Service Skills, Office) / Higher NITEC (Business Studies, Administration) Certificate
• Proficient in MS Office applications, especially in MS Excel & Word
• Good office operations, coordination skillset and able to work independently and as a team
• Pleasant personality with good communication and interpersonal skills
• On-the-job training will be given on usage of internal systems

• Able to work both day (8am – 8pm) and night shift (8pm – 8am) hours on weekdays and on weekends

Office Location:

Land Transport Authority, 10 Sin Ming Drive, Singapore 575701

Working Schedule:

12 hours rotating shift work – shift pattern would be day shift, followed by night shift, followed by night shift, followed by Off day, followed by Off day

Contract Duration:

1 year

Rates:

Salary of $1,500 per month excluding shift allowances of $5 to $25 for the day shift and $35 to $45 for the night shift

At a glance

Are you an entrepreneurial thinker, creative problem solver and like to drive things forward? Your talent as a networker makes it easy for you to work with many different types of people? At Infineon we have the size, the competence and the faith in innovation to shape the power semiconductor industry. Seize the chance to come on board and become part of our success story!

Job description

In your new role you will:

• Work as a technical expert in the fields of primarily on Natural Language Processing (NLP) / Large Language Models (LLMS), Artificial Intelligence/ Machine Learning (AI/ML) and present research findings to stakeholders internally and externally.
• Prove concepts, prototypes and implementations, mainly pertaining to the solutions and services in Business Analytics focusing on NLP
• Creating & developing NLP applications handling large corpus of data
• Working with data scientists and domain experts to design the AI workflow and deployment.
• Transform the prototypes into production with best practices (e.g.model development, model deployment, model management & monitoring).
• Maintaining, monitoring, optimizing the full life cycle of machine learning models in production (e.g. model results, performance, benchmarking).
• End to End operation support for AI solutions (Data Engineering &Modelling & Visualization)
• Establish, implement and maintain best practices and principles of machine learning engineering.

Your Profile

You are best equipped for this task if you have:

• Masters or Bachelors Degree in Computer Science/Mathematics/Statistics or equivalent.
• Relevant work experience for at least 3 years in NLP/AIML
• Strong understanding, conceptualizing & hands-on Work Experience in the field of LLM/Generative AI, Chatbots & NLP based applications
• Hands-on working experience in Classical Machine Learning, ComputerVision
• Extensive experience in Software Engineering & Development cycles(CI/CD) with proficiency in scripting languages & frameworks e.g.Python, TensorFlow, PyTorch, Sklearn.
• Familiar with microservice and/or big data technologies, e.g.OpenShift, Cloudera (CDH) & Experience in SQL and NoSQL Databases
• Working experience in cloud technologies such as Microsoft Azure platform
• Understanding of web development technologies like HTML, CSS, and javascript frameworks
• Knowledge in Self Service Analytics Platform i.e. Dataiku preferred
• Intuitive & Curious data wizard mindset with high ‘figure-it-out' quotient
• Highly motivated, structured and methodical with high degree of self-initiative
• Team player with good cross-cultural skills to work in international team
• Customer and Result orientated

Benefits

What we offer you in Singapore

Singapore is our regional headquarter for Asia-Pacific and consists of production, research & development, sales & marketing, supply chain and many central functions.

Find out more about our location Singapore

Why Us

Driving decarbonization and digitalization. Together.

Infineon designs, develops, manufactures, and markets a broad range of semiconductors and semiconductor-based solutions, focusing on key markets in the automotive, industrial, and consumer sectors. Its products range from standard components to special components for digital, analog, and mixed-signal applications to customer-specific solutions together with the appropriate software.

We are on a journey to create the best Infineon for everyone.
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.

Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.

Click here for more information about Diversity & Inclusion at Infineon.

• Well-Established in Optical Industry
• Working Location: Central
• Working Days: 5D work week (11am - 9pm)
• Salary Package: Basic Up to $2900 + Commissions + AWS

Job Responsibilities:

• Promote and provide excellent customer service to walk-in customers
• Cashiering
• Maintain workplace cleanliness
• Upsell products and hit targets
• Ad-hoc duties as per assigned

Requirements:

• O Level
• No experience needed
• On job training will be provided

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education backgroun