Responsibilities for Data entry assistant

• Transfer data from paper formats into computer files or database systems using keyboards, data recorders or optical scanners
• support in adhoc admin duties
• Create spreadsheets with large numbers of figures without mistakes
• Verify data by comparing it to source documents
• Update existing data
• Retrieve data from the database or electronic files as requested
• Perform regular backups to ensure data preservation
• Sort and organize paperwork after entering data to ensure it is not lost
• Greet visitors and point them in the right direction, answer inquiries, and create a welcoming environment
• Organize and maintain files and databases in a confidential manner
• Manage communication including emails and phone calls
• Screen phone calls, redirect calls, and take messages
• Schedule appointments, meetings, and reservations as needed
• Receive invoices and review for accuracy
• Assist HR Manager on all related HR/Admin duties
• Team player to work in office environment

Qualifications for Data entry Assistant

• High school diploma or general education.
• 1-2 years of clerical, secretarial, or office experience
• Proficient computer skills, including Microsoft Office
• Strong verbal and written communication skills
• Any additional certifications
• High degree of attention to detail
• Data entry experience
• Working knowledge of general office equipment

Overview

Our healthcare client is seeking a Senior Executive/Assistant Manager to support day-to-day operations at their Contact Centre, ensuring service standards, key performance indicators (KPIs), and positive experiences.

About Sembcorp Industries

Sembcorp Industries (Sembcorp) is a leading energy and urban solutions provider, led by its purpose to drive energy transition.

Headquartered in Singapore, Sembcorp delivers sustainable solutions to support energy transition and urban development by leveraging its sector expertise and global track record.

Sembcorp has a balanced energy portfolio of 21.2GW, with 14.4GW of gross renewable energy capacity across 10 countries*.

Its urban development projects span over 14,000 hectares across Asia and have generated over 377,000 employment opportunities and attracted close to US$50 billion of investment capital.

Sembcorp is listed on the main board of the Singapore Exchange. It is a constituent stock of FTSE Russell Index, MSCI Singapore Index, Straits Times Index as well as sustainability indices including FTSE4Good Index, iEdge SG ESG indices and several MSCI ESG indices.

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

PURPOSE AND SCOPE

The Data Analyst role is positioned to tap on the vast amounts of data available at Sembcorp Solar to better guide the organization in optimizing its operational and business processes. The role will reside within the Business Excellence Unit and will work on cross-functional projects.

KEY ROLES AND RESPONSIBILITIES

• Work with various departments within Sembcorp Solar to propose, develop and maintain automated data collection systems and pipelines across reporting lines.
• Provide stakeholders with accurate and relevant information through data-driven reports, visualizations, and presentations.
• Assist to identify and solve complex business problems by interpreting data trends and patterns.
• Develop statistical models and forecasts to support business planning.
• Continuously evaluate and refine existing data processes and methodologies to enhance data quality, integrity, and efficiency.

QUALIFICATIONS & EXPERIENCE

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics, or related fields.
• Demonstrable experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn in Python.
• Experience in data cleaning, transformation, and integration
• Experience working in cross-functional teams and collaborating with stakeholders from different departments.
• Proficiency in analyzing large datasets to extract meaningful insights.
• Knowledge of geospatial analysis and data-warehousing concepts can be advantageous.

SKILLS/COMPETENCIES & PREFERRED CHARACTERISTICS

• Understanding of statistical methods and concepts such as hypothesis testing, regression analysis, clustering, and classification techniques.
• Ability to use statistical methods and tools to interpret data and solve analytical problems.
• Ability to understand business requirements, translate them into analytical tasks, and provide actionable insights to stakeholders.
• Capability to identify problems and develop creative solutions using data-driven techniques.
• Effective communication of findings through reports, presentations, and visualizations to both technical and non-technical audiences.
• Thoroughness in data analysis and ensuring data quality and accuracy in findings and reports.
• Familiarity with specific industry trends and metrics relevant to the solar PV industry can be advantageous.

Fresh graduates are welcome to apply. Candidates will be expected to share about projects previously delivered.

At Sembcorp, our shared corporate behaviors underpin all the work that we do in building a sustainable future:

• Institution-first Mindset – Put the interest of the Group ahead of individual interests.
• Collaboration – Deliver through collaborating across markets, businesses and functions.
• Accountability – Hold team and self accountable to deliver on our commitments.

We are currently looking for a skilled Data Analyst to become an integral part of our team, focusing on the development of data-driven solutions aimed at enriching our customer relationship management (CRM) strategy to drive performance.

• Analyze and interpret large and complex datasets to develop data-driven insights.
• Collaborate with cross-functional teams to identify opportunities for data science solutions to improve our CRM systems and processes.
• Identify opportunities for process optimization, automation, and data-driven decision-making.
• Communicate complex analytical insights and solutions to stakeholders clearly and concisely.
• Build partnership with strategy team to showcase to refine campaign strategy and  efficiencies
• Be the key PIC for insights generation for the assigned market cluster
• Timely delivery of analysis as per aligned timelines

Responsibilities:

• Collect, clean, and transform large datasets for analysis. This may involve working with programming languages such as, SQL, R/Python, JavaScript, etc. to create automated data processing flow. Codes should be clean and well-documented.
• Design, develop, and maintain dashboards and interactive visualisations for data exploration to help end-users make informed data-driven decisions. This includes using analytical tools such as Microsoft Excel, PowerBI, ZOHO and/or Tableau.
• Manage data quality assurance processes to ensure data accuracy and consistency.
• Develop and implement data governance policies and standard operating procedures (SOP) and conduct ad-hoc analysis to answer specific business questions and address challenges.
• Collaborate with stakeholders to define business requirements and translate them into analytical tasks and present analytical findings and recommendations to stakeholders.
• Stay up to date with emerging technologies and tools in the data analytics space and evaluate how they can be used to improve the company's analytics platform and services.

Requirements:

• Degree or Diploma in Computer Science with min 3 years of experience in related field
• Customer-first mentality with a high dose of empathy and passion for the Built Environment,familiarity with IoT (Internet-of-Things) devices and their data streams.
• Familiarity with version control systems (GIT and others), CI/CD practices, testing and migration tools for database and software and understanding of A1 Modelling.
• Experience working with APIs and SQL databases.
• Familar with tools such as PowerShell, Apache Spark, PySpark, etc.

About Us

SPH Media’s mission is to be the trusted source of news and lifestyle content in Singapore and Asia. One of our core purposes is to produce credible, balanced, and objective news and analysis, always with a view to uphold the public good and fostering an informed, engaged citizenry.

We welcome talented individuals to join us and grow a career in a vibrant and collaborative environment built around a culture of respect and inclusivity.

As an employer, we are committed to rewarding our people fairly and developing them in their careers.

About the Role

Temporary Data Entry Assistants

ZBSchools is looking for 2 data entry assistants to input exercise and mock exam questions into the new Chinese Content Management System.

• Duration: 2 months (25 November 2024 to 24 January 2025)
• Location: onsite at SPH Media Office, 1000 Toa Payoh North
• Working hours: Monday to Friday, 8.30am to 6pm
• Rate of pay: $10 per hour

Roles & Responsibilities

• Accurately input and update data in Chinese in the content management system
• Verify data for accuracy and completeness
• Must provide timely update on work progress and respond quickly to changes
• Training will be provided

Who we are looking for

• At least GCE O level
• Chinese language proficiency is compulsory
• Proven experience in data entry or a related field.
• Excellent attention to detail and accuracy
• Ability to work independently and as part of a team

The Solution Architect will be responsible for the design and thought leadership throughout the full life cycle of a customer's journey. The individual will have the opportunity to be engaged from pre-sales activities focusing on the development of leads, initial scoping, high level solution designing, estimation and statement of work generation. Then within the delivery phase you will work closely with our delivery teams to bridge the gap between the high level solution design and low level solution design.  Supporting the delivery implementation, providing guidance and leadership. Besides the customer engagements you will look to use your experience and that of the large Solution team in assisting in the creation and design of our next generation of products and services, allowing you to develop truly impactful solutions which you will help to take to market working with internal teams and partners.

Job Requirements

• Pre Sales Activities: Work with the Sales and Delivery Team to support the development of leads, estimates, resource planning, ultimately resulting in the production of a statement of work for the customer. 
• Solution Design: Creation of the high and low level designs and architecting systems in a cloud native fashion on any of the 3 major cloud providers (AWS, GCP, Azure). Provide review and quality assurance across the team’s output. 
• Collaborate with delivery: Work with the DevOps, Data Engineering and Application Development delivery teams to bridge the gap between the solution designs ensuring that delivery of the solutions are inline with the requirements of the customers. 
• Solution Development: Taking insight and feedback from Sales, Client Partners and industry to develop new solutions and products which will help benefit our customers. Then working with the engineering teams and in collaboration design and delivering these new solutions which can be taken to market. 
• Data Solutions Subject Matter Expert: Act as an authoritative source for both internal and external queries in the space of “Data Solutions” focusing on  Data Migrations, ETL Pipelines, Data Modelling and AI/ML practices.
• Continuous Learning: Set aside the time to develop skills and knowledge to broaden your experience and understanding of the Cloud and Data space. Work to share this knowledge internally and externally through evangelism, utilizing different forums and mediums, 

The resources will have the below qualifications:

• Required skills include 3+ years of experience in the implementation, maintenance and analysis of data center facilities, hardware, communications infrastructure, strategies, tools and effective troubleshooting techniques.
• Basic background on enterprise data center facilities and infrastructure environments such as PDUs, RPPs, network and SAN infrastructures. In depth knowledge on complex, Enterprise class inter-networked environments involving a combination of switched/routed/shared Ethernet, TwinAx (100GigE, 25GigE,10GigE, GigE, 100M, and 10M), token ring, SAN, and wide area connectivity.
• Strong knowledge of WAN technologies (OC-x, DS-x), subnetting and TCP/IP protocol a must.
• Knowledge of trouble ticketing systems, change control, Project processes and associated tools.
• Logical problem- solving techniques and associated experience in system, data center facilities, and telecommunications.
• Experience with project management.
• Financial Services industry knowledge a plus.

Interested candidates, please send over your resume to [email protected]

Summary

We are seeking an AI/ML Researcher to lead the research and development of large language models (LLMs) solutions. The ideal candidate will have a minimum of 2 years of experience in NLP research and a deep understanding of core LLM components, including LLM modeling, information retrieval, entity-relation extraction, agentic frameworks, and reasoning. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative LLM solutions. Responsibilities include designing and conducting scientific experiments, utilizing NLP techniques and LLM core components to develop novel LLM solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should have excellent communication skills, a strong work ethic, and a passion for delivering high-quality, innovative solutions.

Responsibilities:

• Leading in designing the research and experiment methodology, specifically in LLM core components.
• Conduct independent research and report experiment results, research findings to stakeholders, e.g., ...
• Collaborate with engineering team in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training,
• Utilize analytical techniques to extract meaningful insights from large datasets
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• Publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.

Requirement:

• PhD or Master degree in Computer Science, Computer Engineering, Statistics, Engineering, or related field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, vulnerabilities in LLM, etc....
2. Generative AI, specifically in generating synthetic data.

• Demonstrate an analytical mindset with adept problem-solving skills.
• Keep abreast of the latest advancements in program-related techniques and methodologies,
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Strong communication and organizational skills.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.

Job Description

Main Tasks:

• Conducting sales data collection and analysis
• Quoting and managing product pricing
• Supporting the sales team with business enquiries and administrative matters
• Analyzing data and drawing meaningful insights to improve sales and processes
• Conduct projects with different stakeholders to support and drive sales
• Assisting in preparation of presentation slides and other SAP-related sales support activities
• Creating analytics reports for KPI reporting (Monthly Customer Reports, Quality Reports)

May also include:

• Planning and hosting of marketing events
• Collaborating with 3rd party agencies for social media campaigns
• Designing and archiving marketing materials
• Coordinating with 3rd party vendors for various tasks
• Supporting functions of regional teams for problem solving
• Other administrative tasks on ad-hoc basis

SPH Chinese Media Group Lianhe Zaobao Digital is seeking a talented Interactive / Data Visualization Developer to join our dynamic digital storytelling team. As a key member of our team, you will have the opportunity to shape the future of digital storytelling, influence our strategies, and grow with us as we explore new frontiers in interactive content. The ideal candidate will have a passion for creating engaging, visually compelling, and data-driven interactive experiences. You will collaborate with journalists and designers to turn real world projects / data into accessible and interactive narratives. Your work will play a key role in enhancing our storytelling capabilities and engaging our audience with rich, immersive content.

We value your potential for growth and advancement, and we are committed to supporting your professional development through continuous learning opportunities and challenging projects.

Your job responsibilities include:

• Designing and developing interactive data visualizations to support digital storytelling efforts.
• Ensuring visualizations are accurate, compelling, and aligned with the story's narrative.
• Collaborating with storytellers and designers to produce interactive elements in a story.
• Working with editorial and digital teams to interpret data sets and extract meaningful insights to drive a story.
• Partnering cross-functional teams to brainstorm and develop innovative storytelling approaches.
• Providing technical expertise and guidance on best practices for data visualization and interactive content.
• Optimizing interactive elements for performance and accessibility.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Science, Analytics or a related field; minimally 3 years of experience in data visualization, front-end development, or a related role (you will be required to submit a portfolio to showcase your experience in developing interactive and data-driven visualizations, highlighting projects that demonstrate your technical skills and creativity)
• Effectively bilingual in English and Chinese (written and spoken) as this role supports a Chinese Publication
• Proven experience with data visualization libraries and frameworks such as D3.js, Chart.js, or similar, and in web development technologies including HTML, CSS, JavaScript, and frameworks such as React or Angular would be advantageous
• Strong proficiency in data analysis and visualization tools; strong understanding of UX/UI principles and responsive design.
• Excellent problem-solving skills and attention to detail
• Ability to communicate technical information to non-technical audiences
• Kept up-to-date with the latest trends and technologies in the field
• Ability to work independently, as well as in a team to deliver under tight deadlines

Summary:

• Semiconductor, cleanroom
• Gross up to 3k+ with allowances and OT
• Guaranteed AWS
• Performance bonus
• Increment after probation (subject to performance)
• Completion bonus (1 year)
• Location: Kranji
• Work week: 4/3/4/3 (12 hours shift)

Key Responsibilities:

• Perform robot PM: parts cleaning & greasing, replacement of sensors, motors, motor drivers etc
• Installation of vacuum valves, fore line pipes, heater jackets
• Support tool owner engineer to do technical activities in fab: trouble shoot, modification, installation, de-installation
• Support 6S & logistic activities (parts cleaning, arrangement, label-ling, housekeeping
• Other related ad hoc duties

Key Requirements:

• Min Nitec in engineering
• No experience welcome to apply!

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

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

Please be notified that only shortlisted candidates will be notified.

Your recruiter for this job: Stella

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

Stella Aw Yong See Hui | R24121552

Recruit Now Singapore Pte Ltd | EA No: 21C0845

About Spare Parts 3D

Spare Parts 3D, headquartered in France with offices in Singapore, leverages 3D printing to simplify and decarbonize supply chains. Using our proprietary DigiPART™ software, we digitize spare parts inventories for industry leaders in sectors like O&G, petrochemical, transportation, and semiconductor, enabling parts production anywhere with minimal lead times. Our technology reduces costs associated with technology transfer and warehousing, creating a shorter, more efficient supply chain.

If you’re ready for a challenge in a high-tech, fast-evolving sector, apply now!

Responsibilities

As part of a customer-focused project structure under the leadership of our Head of Engineering, you will support DIGIPART development across all data-related aspects, from preparing large data sets to integrating and analyzing data in DIGIPART. Your key responsibilities will include:

• Prepare and enhance large data sets by collating information from ERP, PLM, and various sources.
• Conduct data labeling, cleaning, and validation to ensure quality.
• Structure and integrate both structured and unstructured data into DigiPART databases.
• Perform data audits, identify errors, and produce diagnostic reports.
• Meet project deadlines by completing tasks on time.
• Identify and resolve root causes of data quality issues, providing feedback for product improvement.
• Develop new processes to identify and leverage data improvement opportunities.
• Collaborate with cross-functional teams to support DIGIPART enhancements.

Education and Experience

• Bachelor's degree in Accounting, Business Administration, Engineering, or a related field.
• At least 2 years of experience in data science, analytics, or a similar role (preferred).
• Willingness to undergo training in 3D printing applications and DigiPART software.

Knowledge and Skills

• Experience with data analysis tools like Python, or Power BI is required.
• Professional fluency in English; proficiency in French is a plus.
• Strong ethical standards, integrity, and adherence to compliance.
• Skilled in handling large amounts of data and identifying actionable insights.
• Adaptable and resilient, capable of navigating a dynamic, fast-paced environment.

Application Note

Only shortlisted candidates will be notified.

This position is ideal for a recent graduate who is passionate about solving challenging business problems and building applications that provide an excellent user experience. As a Data Engineer, you will be an integral part of the Loyalty and Marketing development team, focusing on designing and building software solutions that leverage data to solve business problems.

The role is for a self-motivated individual with strong foundational software engineering skills. The candidate will be extensively involved in hands-on activities, including POCs, design, documentation, and development of new functionality. The candidate must be flexible and willing to switch tasks based on the team's needs.

Responsibilities:

• Assist in the design, development, and implementation of software solutions.
• Participate in the development of new products iteratively by building quick POCs and converting ideas into real products.
• Design and develop mission-critical systems, delivering high-availability and performance.
• Interact with both business and technical stakeholders to deliver high-quality products and services that meet business requirements and expectations while applying the latest available tools and technology.
• Develop code under the guidance of senior developers to ensure deliverables are on time, within budget, and with good code quality.
• Maintain a passion for delivering zero-defect code and contribute to ensuring the team's deliverables meet or exceed the prescribed defect SLA.
• Assist in coordinating Continuous Integration activities and other related items in addition to contributing core product code.
• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner.

Job Description

• Support on Customer Relationship Management (CRM) tools
• Assist the ASEAN sales team with ongoing analytical, administrative and operational tasks
• Manage sales reports, sales dashboards and sales process to make data access extraction more efficient
• Involve in various projects with different stakeholders to support and drive sales
• Support Preferred partner program and channel strategies
• Market research when required
• Assist in preparation of presentation slides and other ad-hoc sales activities
• Assist in other ad-hoc analytics and marketing project and tasks

We are developing and executing a shared strategic vision for Loyalty & Marketing Services platforms and products that enable Visa to be the world-leading data-driven payments company. As a Data Engineer, you will be part of world-class team of Engineers to define, drive and execute on this vision. We are looking for a self-motivated individual with software engineering skills and expertise with Java, Web technologies & Big data. The candidate will be extensively involved in hands-on activities including POCs, design, development, testing, and documentation. Candidate must be flexible and willing to switch tasks based on team's needs.

Primary responsibilities will include:

• Design and develop mission-critical systems, delivering high-availability and performance
• Work on development of new products and enhancements to existing systems iteratively by building quick POCs and converting ideas into real products
• Work closely with architects, business and technical stakeholders to develop high quality products and services that meet business requirements and expectations while applying the latest available tools and technology
• Instill best practices for software development, and deliver high quality work on tight schedules
• Identify opportunities for further enhancements and refinements to standards and processes
• Mentor junior team members, develop departmental procedures and best practices standards
• Coordinate Continuous Integration activities, testing automation frameworks, and other related items in addition to contributing core product code
• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

We are hiring a part time or full time adminstrative clerk.

Responsibilities

· Attend to walk-in customers, incoming phone and email enquiries

· Communicate and coordinate with customers in ensuring prompt follow-up and closure for all enquiries

· Process class registrations, invoice and payment receipts

· Correspond with existing customers through phone, text messages and emails

· Coordinate with external vendors and suppliers

· Perform a variety of administrative duties in support of the day-to-day operations

Requirements

· Able to speak ,read and write Chinese words

· Proficient in MS Office applications

· Applicants with experience working in tuition or enrichment centres have an added advantage

· Able to work on weekend but exclude public holiday

· Minimum O levels or equivalent

• Calculate total daily production quantity output and check balance quantity per plan order.
• Encode transfer note finished goods (FG) and work in process (WIP) to the MRP.
• Daily checking of the part inventory stock on the MRP.
• Record the quantity of incoming insert that will use in the production.
• Prepare percentage planning yielding weekly report and percentage production efficiency weekly report.
• Prepare report on daily rejection part and record in the non-conforming report.
• Coordinate with the planner regarding production plan of the production.
• Prepare material weekly inventory.
• Prepare label that will use in the production.
• Prepare overtime and leave form of the production personnel and submit to HR department.
• File production related document like part samples, sample approval form and injection molding parameter data to the filing cabinet.
• Withdraw production office supplies every week in the administration office.
• Follow ISO 9001, ISO 13485 and safety rules and regulations.
• Implement 5S and good housekeeping in the production area.
• Performs other tasks assigned by his supervisor to achieve department objective.

Requirements:

• At least secondary level can write and speak simple English.
• At least 6 months experience in clerical works.
• With basic knowledge in computer MS office.

Datacenter Operations Engineer

The Leaseweb APAC team is growing quickly and looking for talented individuals to join us. Our Data center Operations Team is involved in the daily management of our current 6 data center facilities in the APAC region (Singapore, Japan, Hong Kong and Australia) and we are about to open 3 more data center location in Singapore, Japan and Australia later this year. You will be responsible for the configuration and installation of the servers during the provisioning process in our data center in Singapore, and other data centers in the region as needed. You will also be assisting customers with the installation of network equipment in more complex designs.

Key responsibilities:

• Installation, configuration, relocation, and removal of server equipment at the data center
• The assistance of customers within data centers (for customers with their own racks/servers)
• Upgrade/downgrade of server equipment (memory/hard disks/etc.)
• Replacement of hardware and handling of all relevant administrative matters.
• Testing servers and server equipment in accordance with standards
• Work with remote hands partners within the APAC region to support installation and/or adjustment of servers.

Requirements:

• At least one year of hands-on experience working in a data center with servers
• Knowledge of various operating systems, especially Linux
• Knowledge of Hardware (Servers, Switches, KVM, Hard Drives, Memory etc.)
• Basic network knowledge (adjusting DNS/IP/Netmask/gateway/etc.)
• Certificate or degree in Computer Science or similar discipline preferably with an emphasis in Technology
• Professional and effective communication in English

What we offer:

• Competitive salary
• The possibility to develop yourself and build your career
• Comprehensive Health Insurance
• A great working environment in a dynamic, international, fast-growing organization

Ready for the next step?

If you’d like to apply, please do so online. To learn more about us, follow us on LinkedIn or Instagram to get an inside look at the life at Leaseweb. For questions, please reach out to Danisha Ardilla - Talent Acquisition Specialist, at: [email protected]

Recruitment agency? Thank you for your interest, but we are sourcing all our candidates directly. We appreciate you trying anyway but please keep in mind that any unsolicited profiles you send us will be treated as direct applications.

Responsibilities:

• The Data Engineer will lead in data collection, data analysis, and data consolidation to provide key business insights for management.
• Stakeholder collaboration to define business and information needs to deliver data-centric solutions.
• Translate business requirements into analytics and reporting specifications.
• Automate data collection process and digitalise existing workflows
• Support the digitalisation transformation team in improving operational efficiency
• Coordinate collection and consolidation of data
• Conduct data cleaning and vetting, check and verify data to ensure accurate data input
• Apply analytical, statistical and operational research knowledge to transform data into insights to facilitate decision making.
• Prepare weekly and monthly reports
• Report critical issues observed through information analysis
• Troubleshoot, research and fixing issues
• To look into continuous improvement of data and business processes to improve efficiency and productivity
• Understanding internal department user needs; build, maintain and optimize systems & process together through acquired data
• Recommend IT tools, digital transformation ideas for productivity improvement
• Other duties as assigned

Requirements:

• Minimum Degree with 2 year of experience in Data Analysis would be an added advantage
• SQL coding background will be advantageous
• Tertiary technical background required

You Will

• Data Collection & Wrangling: Gathering data from various sources (databases, APIs, web scraping, etc.), cleaning it, and transforming it into a usable format. This often involves dealing with missing values, inconsistencies, and different data types.
• Exploratory Data Analysis (EDA): Uncovering patterns, trends, and relationships in data through summary statistics, visualizations, and data mining techniques. This helps to form hypotheses and identify areas for further investigation.
• Statistical Analysis: Applying statistical methods to test hypotheses, make predictions, and draw inferences from data. This can involve techniques like regression analysis, hypothesis testing, and time series analysis.
• Data Visualization: Creating meaningful charts, graphs, and dashboards to communicate insights effectively to stakeholders. This involves choosing the right visualization techniques to tell a compelling story with the data.
• Reporting & Communication: Presenting findings and recommendations to both technical and non-technical audiences through reports, presentations, and dashboards. Strong communication skills are essential to convey complex information clearly.
• Predictive Modelling: Building models to forecast future outcomes based on historical data. This can involve machine learning techniques like regression, classification, and clustering.
• Data Management: Contributing to the development and maintenance of databases and data pipelines. This ensures data quality and accessibility for analysis.
• Collaboration: Working with cross-functional teams (e.g., marketing, product, finance) to understand their data needs and provide data-driven solutions.

You Bring

• Preferable min. 2-3 years of working experience, preferably in the SI environment.
• Diploma or Bachelor's degree in a quantitative field like statistics, mathematics, computer science, economics, or a related field is typically required.
• Proficiency in at least one data analysis language like Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
• SQL for querying databases, and potentially experience with tools like Excel or data manipulation libraries.
• Experience with tools like Tableau, Power BI, Qlik Sense, or data visualization libraries in Python (e.g., Matplotlib, Seaborn).
• Familiarity with statistical software packages like SPSS or SAS can be beneficial.
• Knowledge of Hadoop, Spark, or other big data technologies may be required for roles dealing with large datasets.
• Strong analytical and problem-solving skills are crucial for interpreting complex data and drawing meaningful insights.
• Excellent written and verbal communication skills are necessary to present findings clearly and concisely to both technical and non-technical audiences.
• Depending on the industry, having domain-specific knowledge (e.g., IT and finance) can be a significant advantage.

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

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

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

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

Technology Solutions Office is looking for Data Analyst

Internal Code: A24040

What will you do?

• You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
• You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• You will be responsible to create, design and develop intricate data processing pipelines.
• You write clean and iterative code for continuous delivery practices to deploy, support and operate data pipelines.
• You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stacks.

What are we looking for?

• From 3 to 5 years of experience working as a data analyst or related role.
• Hands-on experience in Tableau, Power BI, AWS Glue, AWS RedShift, QlikSense
• Proficiency in programming languages such as Python, Java or Scala.
• Track record in implementing systems using Hive, Scala will be preferred.
• Strong in data modelling, data processing frameworks’ tools such as Hadoop, Spark, SQL is an advantage.
• Good understanding of analytics and data warehouse implementations
• Experience with Cloud Technologies is a plus.
• Good understanding and completion of projects using Agile methodology.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.
• Bachelor’s in Computer Science, Engineering, or a related field.

What do we offer?

• Fun working environment
• Employee Wellness Program

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

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

We are looking for a highly skilled Data Scientist for our global Weather Desk with a strong background in Meteorology. The ideal candidate will hold a PhD or Master’s degree in Atmospheric Science or a related field. We seek for someone who is passionate not only about data analytics and modeling, but also enjoys interpreting large-scale weather patterns and teleconnections. The role balances forecasting work for commercial teams and research projects using data science. The ideal candidate is proficient in weather forecasting and understands the driving forces behind expected weather patterns.

Main Responsibilities:

• Lead global weather intelligence and monitoring for the SouthEast Asia regional commercial offices
• Conduct research, perform data analysis, and create predictive models using meteorological datasets
• Work with internal team to expand and improve suite of weather monitoring tools and visualizations
• Collaborate with cross-functional teams to translate complex weather/climate data into actionable insights through an agricultural commodity lens
• Present weather and research output to both technical and non-technical stakeholders on a regular basis
• Interact with our AI Hub in Singapore and ensure LDC benefits from the most recent developments in weather-related AI

Experiences:

• At least 1-3 years of relevant experiences
• Strong background in meteorology and forecasting
• Proven experience in research and data analytics
• Experience with agricultural commodities and trading is a plus
• Experience with modeling techniques and machine learning algorithms is a plus
• Experience with Google Earth Engine is a plus
• Genuine interest in commodity trading industry
• Strong analytical and statistical capabilities, with a proven track record in problem-solving
• Excellent communication skills
• Ability to work independently and in collaborative settings

Technical Skills:

• Proficiency in Python
• Experience in data analysis libraries (e.g. Pandas, NumPy, SciPy)

Languages:

• English (Fluent)

Academics:

• PhD or Master’s in Atmospheric Science, Agricultural Science, Meteorology or related field of study

Job Summary:

• Industry: Healthcare
• Working location: Queenstown
• Employment type: Permanent, full-time

Job Responsibilities:

• Assist the team with day-to-day operations of RISPACS, NGEMR systems, and Diagnostic Imaging equipment to users
• Perform image amendment requests
• Perform daily administration of PACS application and RIS modules
• Rostered to provide 24/7 on-call support on a rotational basis.
• Communicate IT issues identified by users to vendors or respective parties involved.
• Respond to systems-related issues promptly and escalate when necessary.
• Assist the department with the import and export of radiology images
• Assist in image or data extraction and de-identification of images based on accepted hospital policies.
• Work with the hospital IT Department, vendors, and end-user groups to coordinate change requests about Radiology IT systems.
• Involved in project management and assisted in system migration and implementation phases of current to incumbent system
• Perform any other duties assigned by the Imaging Informatics Manager/HOD

Job Requirements:

• Diploma in Business IT/Information Technology/Health Informatics/ Diagnostic Radiography or equivalent, with 2 to 3 years of working experience
• Basic understanding of IT and network concepts.
• Proficient with Microsoft Office and intermediate Excel skills
• Strong interpersonal, communication and written skills
• Willing to do on-call duties and flexible in working hours as some tasks (such as system maintenance) can only be performed after office hours.

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only short-listed candidates will be notified.

Registration No: R24123448 / EA Licence No: 12C6253

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We are an affiliated company by common shareholders with Activate Interactive Pte Ltd which company logo appears on the top of this page.

Actxa creates evidence-based, personalizes health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

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

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

More information about us: https://www.actxa.com

Actxa is hiring for Lead Data Scientist

Internal Code: AX24002

We are seeking a passionate and visionary Lead Data Scientist to lead our data science efforts in shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis. Your work will directly contribute to improving the health and well-being of the population, reducing healthcare costs, and championing a proactive approach to healthcare.

In this managerial-level role, you will drive the company’s technology solutions and research initiatives. You are responsible for leading and managing a team of Data Scientists and Researchers in delivering science and data-driven innovations in preventive health and population wellness.

This role requires you to have prior experience in end-to-end solutions deliveries from research to implementation involving Artificial Intelligence, data analysis, Machine Learning (ML), data analysis and statistical modeling.

What will you do?

1. Data Analysis and Modeling:

• Utilize advanced statistical techniques, artificial intelligence and machine learning algorithms to analyze complex datasets.
• Develop predictive and prescriptive models to achieve business and commercial goals.
• Explore and identify patterns, trends, and anomalies in data.

2. Team Leadership:

• Lead, mentor, and manage a team of data scientists and researchers.
• Provide guidance and direction for project planning, execution, prioritization and documentation.
• Foster a collaborative and innovative team culture.

3. Research Strategy:

• Define research objectives, strategies, and roadmaps in alignment with organizational goals.
• Develop and adhere to clinical research protocols for studies involving human subjects.
• Stay updated with the latest developments in data science and research methodologies.
• Identify emerging technologies and tools that can enhance research capabilities.
• Establish research partnership and collaboration with local and overseas institutions.

4. Data Collection and Preparation:

• Oversee data acquisition, cleaning, and preprocessing.
• Ensure data quality and integrity to maintain the accuracy of analyses.
• Collaborate with data engineering teams to streamline data pipelines.

5. Experimentation and Hypothesis Testing:

• Design experiments and conduct hypothesis testing to validate research findings.
• Evaluate the effectiveness of various models and methodologies.
• Implement A/B testing and other statistical methods to drive decisions.

6. Cross-functional Collaboration:

• Collaborate with consultants, advisors and internal teams, such as software & hardware solution, sales, marketing, and operations, to address business challenges and commercialisation opportunities.
• Provide data-driven recommendations and insights to support decision-making in clinical research projects.

7. Project Management:

• Manage multiple research projects simultaneously, including resource allocation and timelines.
• Monitor project progress, identify risks, and implement mitigation strategies.

8. Continuous Improvement:

• Drive process improvements and best practices in data science and research.
• Evaluate and implement new tools and technologies to enhance research capabilities in clinical research studies.

What are we looking for?

• Advanced degree (Ph.D. or Master's) in a relevant field such as Computer Science, Data Science, Statistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, or related discipline.
• 5 years of experience in artificial intelligence, data analysis, statistical modelling, and machine learning with strong programming skills in languages such as Python, R, SQL and C/C++.
• Candidates with domain knowledge in wearable technologies, preventive health, wellness, fitness, mental health, chronic disease prevention & management, population health, etc will be considered favourably.
• Ability to think critically and solve complex problems.
• Proven track record of successful project management and delivery of data-driven solutions.
• Continuous learning mindset, staying updated with the latest advancements in health tech, med tech, chronic disease prevention and management, and artificial intelligence.
• Excellent communication and leadership skills.
• Natural tenacity, resilience, and determination.

What do we offer?

• Fun working environment
• Employee Wellness Program

Actxa Pte Ltd is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Actxa Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Actxa Pte Ltd.

Your personal data will be processed for the purposes of managing Actxa Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice ( https://www.actxa.com/privacy-policy ) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.