COMPANY DESCRIPTION

1-Net manages carrier-neutral Internet Data Centers, along with providing a comprehensive range of integrated services including network connectivity, managed services, work area recovery suite, cloud and media delivery services. 1-Net's Data Center Corridor initiative currently interconnects key data centers in Singapore to facilities quick deployment and providing a diverse connectivity options for enterprises and service providers.

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

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

RESPONSIBILITIES

1-Net is fast transforming itself into Asia's Data Centre of Choice. As one of the pioneers in broadband development in Singapore, 1-Net currently manages telco-class carrier-neutral Internet Data Centres, along with providing domestic and international connectivity, managed services and media delivery services. 1-Net offers superior stability, secure delivery and service experience through its services. It's uniquely positioned in Southeast Asia, with a comprehensive range of integrated services and a media-centric approach to bring cutting edge solutions to its customers.

Responsibilities

• Manage the maintenance and daily operations of the DC facilities with the objective of achieving uninterrupted availability at all times and to ensure the fulfillment of our service commitment to customers.
• Support service delivery to ensure contracted service level agreements and key performance indicators are met or exceeded.
• Perform routine facilities activities including inventory control. Critical systems checks and functional testing. Able to respond and take action in response to facilities crisis management activities including: power outages, fire alarms, HVAC outages. Analyze data and identify trends with facility issues to determine root cause and take appropriate action.
• Respond to BMS/EMS alerts, investigate and feedback on any outstanding issues or events and respond to emergency situations and be on standby duty as required.
• Provide technical support to all aspects of data center operations including the operation, maintenance and repair of all mission critical equipment and systems supporting a 24x7 data center operation to achieve 100% uptime and 100% compliance with all customer SLAs.
• Assist in all site construction activities and installations, in coordination with external contractors to ensure system design, installation and testing adhere to operational standards. Witness testing of all equipment during commissioning and validate sequence of operations and receipt of all operational documentation.
• Support for customer installations, in coordination with the design & construction as well as operations requirements to coordinate customer move-in and turn-on, and other service request & deliveries.
• Maintain compliance with local workplace safety & health (WHS) standards and local electrical and building codes.
• Ensure adherence to all standard operating procedures (SOP), method of procedures (MOP), and emergency response procedures (ERP) established for the critical environments, as well as the formal change control process.
• Participate in the scheduling, coordination and completion all significant planned and emergency maintenance events for the facility and ensure these activities are executed in a controlled and proven method to ensure the reliability of the critical loads supported by these systems.
• Support various accreditation, certification and compliance initiatives such as BCA-IDA Green Mark DC/QMS/ISMS/BCMS/PCIDSS/OSPAR, etc as may be required.

• Preferably with minimum 1 year experience in Data Center Facilities Management & Operations environment and service delivery.
• ITE/Diploma in Electrical or Mechanical engineering or equivalent qualification
• 24x7 rotating shift duty
• Able to comprehend, analyse and interpret complex project documents, including AutoCAD, Visio and PDF documents
• General technical and functional knowledge of data center infrastructure to include electrical and mechanical systems, fire detection and protection systems, building management systems, equipment maintenance, space planning, construction of critical facilities environment
• Working location : 1-Net (East) at Chai Chee / 1-Net (North) Woodlands

Responsibilities:

• Strong understanding of data integration concepts, ETL process and data quality management.

• Proficiency in designing and implementing data mappings, transformations, and workflows.

• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

• Strong knowledge of SQL and NoSQL databases.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

Requirements:

• Minimum 5 years of experience in data engineering, with expertise in AWS or Azure services, Databricks, and/or Informatica IDMC.

• Experience with other cloud based ETL technologies.

• Experience in AWS Services focusing on ETL and data processing.

• Familiarity with data visualization tools like Tableau or Power BI.

[1 year contract, renewable]

As a Senior Data Scientist within the VICA team, you'll play a pivotal role in shaping the future of citizen engagement through data-driven insights. You'll be responsible for analyzing user interactions, optimizing chatbot performance, and developing advanced functionalities to enhance user experience.

About VICA

VICA (Virtual Intelligent Chat Assistant) is a government-developed platform powering chatbots across various Singaporean agencies. It leverages Natural Language Processing (NLP) and machine learning to provide citizens with convenient access to information and services.

Responsibilities:

· Develop and refine machine learning models to improve chatbot performance in tasks such as intent classification, dialogue management, and sentiment analysis.

· Experiment with different models and algorithms to achieve optimal results.

· Collaborate with engineers to integrate models into the VICA platform.

· Conduct in-depth analysis of VICA interaction data to identify patterns, trends, and areas for improvement.

· Utilize statistical techniques and visualization tools to communicate findings effectively.

· Develop key performance indicators (KPIs) to measure chatbot effectiveness and track progress.

· Apply NLP techniques to understand user queries, extract relevant information, and generate appropriate responses.

· Explore cutting-edge NLP methods to enhance chatbot capabilities.

· Stay up-to-date with the latest advancements in machine learning, NLP, and chatbot technologies.

· Propose and implement innovative solutions to address chatbot challenges and improve user experience.

· Work closely with engineers, product managers, and other stakeholders to ensure that data-driven insights are effectively integrated into the VICA platform

Qualifications:

· Min. Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).

· Minimum 4 years of experience in data science with a focus on NLP.

· Proven experience in data analysis and machine learning with tools including but not limited to: Python and libraries like scikit-learn, TensorFlow, or PyTorch.

· Strong understanding of Natural Language Processing (NLP) concepts and techniques.

· Experience working with real-world, large-scale datasets.

· Excellent communication and collaboration skills.

· Ability to work independently and manage multiple projects simultaneously.

· Passion for innovation and a strong desire to contribute to Singapore's Smart Nation vision.

Digital Procurement Master Data Specialist – Telenor Procurement Company

Telenor Group is the world’s leading telecommunications company across the Nordics and Asia with 211 million subscribers and 81 billion NOK in revenues. We are committed to responsible business conduct and driven by the ambition of empowering societies. Connectivity has been Telenor’s domain for more than 160 years, and our purpose is to connect our customers to what matters most.

Telenor has a leading Nordic position in mobile, broadband and TV services, as well as substantial activities in subsidiaries and joint venture operations, including mobile financial services and online classifieds in the Asia region. Worldwide, Telenor Group and our operations’ teams are 11,000 people strong.

Telenor Procurement Company (TPC), established in 2017 and based out of Singapore, operates as a subsidiary of the Telenor Group. We deliver Global Category Management as a service to the Telenor Business Units and beyond, taking full responsibility for the end-to-end Sourcing process and performance of global spend categories. Functioning as one Global Procurement team across all Telenor markets, we enable Telenor’s strategic ambitions by becoming a centre of expertise in the pursuit of efficient operations. TPC seeks qualified procurement professionals that are comfortable working in a global setup in the fast-paced Telecom field.

For more information, please visit our website (https://www.telenor.com/about/our-companies/other-units/telenor-procurement-company/)

About the Role

As Master Data Specialist, you will work with Senior Manager BI and Master Data to execute data strategy and establish better governance of the group’s procurement master data throughout its lifecycle and ensure that high quality, actionable spend data is provided to the business. You will guide the category teams on how to secure an item’s mastering and data integrity through the end-to-end procurement process. This is partially a new role in the team developing our master data management (MDM) is a key part of improving our global Purchase-to-Pay (P2P) capability. In this role, you will make your mark on Telenor’s journey of digital transformation.

However, the role will work closely with the operational team who is rolling out a common Purchase-to-Pay (P2P) process and solution across all our business units.

Main Responsibilities

Master Data Governance

• Develop and secure implementation of the Master Data Governance across Global Procurement
• Develop and continuously improve lifecycle processes for efficient master data in P2P and Sourcing processes.
• Ensure effective master data governance disciplines for both internal stakeholders across BUs to establish data quality rules and ensure effective data quality program.
• Maintain and update governance documents, ensure alignment across data owners and center of excellence forum.
• Periodic maintenance of MDM portal and ensure information are up to date.

Data Analysis and Tooling Development

• Develop analytic report to be used for Global Procurement.
• Develop TCO benchmark tooling to be used across Global Procurement for the RFQ processes.
• Periodic analysis of spend data quality to ensure accuracy of spend, drive cleansing and process improvement through different forums (central and local category team, P2P, Finance).
• Develop and enhance machine learning scripts to improve spend classification

Project Support

• Assist in the planning and execution of projects aimed at improving operational efficiency.
• Track project milestones and deliverables, ensuring timely completion.

Cross-Department Collaboration

• Build strong working relationships with internal or external customers, other key stakeholders within Global Procurement including P2P team and IT system specialists to develop a shared understanding of MDM requirements, business processes and department inter-dependencies.

Profile

We seek a passionate person in exploring various technology and knowledge has hands-on experience developing solution through various analytic tooling. with harmonizing and improving master data, common information architecture and business processes related to the procurement supply chain functional area.

The following characteristics will be critical to succeed in the role:

• Good understanding procurement process and data especially master data.
• A problem solver capable of dissecting a complicated problem and evaluating it systematically.
• Detail oriented and structured, while at the same time have a good overview and business acumen.
• Passionate about technology and staying up to date on current technology landscape and able to engage in technical discussion.
• A promoter of data science and Artificial Intelligence that can bring AI into procurement landscape.
• An analyst and a programmer yourself that able to develop solution through different tooling involving different technologies.
• Excellent communicator that brings a positive influence even to contentious discussions.
• Self-driven, and ability to adapt to a fast moving and dynamic environment with changes in priorities.
• Interested to evolve along a Data Governance/Data Management career path.

Qualification and Skills Requirements

• University degree within Finance/Accounting, Supply Chain, Business Management, Statistics, Engineering, Economics, Data Science or equivalent
• 2+ years working with applied business intelligence and analytics solutions. Fresh graduates are welcome
• Experience from Procurement/Strategic Sourcing/ Category management/Supply Chain
• Working in a matrix set-up
• Working in an international corporate with both European and Asian footprint
• Hands-on experience with procurement enabling tools such as spend visibility and Coupa P2P.

Proficient in:

• Programming: Python, R
• Analytic: Power BI
• Cloud Platform: Google Cloud, AWS, Azure, Fabric
• O365: Power Automate
• AI: MS Co-Pilot, ChatGPT

Responsibilities:

• Deploy and maintain on-site data center physical infrastructure.
• Install, replace, and troubleshoot cables and hardware.
• Handle data-bearing devices (e.g., hard drives, SSDs).
• Work within a ticket-based environment.
• Move equipment using pallet jacks or lifting tools.
• Assist the Data Centre Inventory and Asset Management Team (DIAT) with shipping, receiving, and inventory management as needed.
• Work flexible hours, including weekends and holidays.

Education / Experience:

• Diploma / Degree in IT / Computer Engineering or equivalent.
• 1 year of IT support experience (Fresh graduates with a good attitude will be considered).

Skills:

• Basic knowledge of computer hardware and components.
• 6+ months experience handling technical equipment or machinery.
• 1+ years of IT equipment support experience.
• Relevant certifications: CompTIA (A+, Server+, Network+), Basic Structure Cabling (BSC).
• Ability to stand, walk, lift, and work at heights with or without equipment assistance.
• Willingness to learn and develop new technical skills.

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients
• Degree in Computer Science or IT or Business Analytics

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

Enhance Generative AI Accuracy:
1) Build and curate a comprehensive knowledge base to serve as a foundation for the Generative AI model.
2) Evaluate and analyse AI-generated responses to identify areas of improvement and optimize accuracy.

Response Analysis and Evaluation:
1) Identify, analyse, and assess the quality of AI-generated responses, ensuring they align with company standards and customer expectations.
2) Collaborate with the AI Development team to implement necessary adjustments to improve response quality.

Safety Scenario Establishment:
1) Develop and implement safety scenarios to mitigate the risk of inappropriate or sensitive AI responses, maintaining ethical and responsible AI interactions.

Data Set Maintenance:
1) Deconflict and curate data sets across various platforms to ensure a diverse and clean input for the Generative AI model.
2) Regularly update and refine data sets to reflect evolving language trends and user preferences.


Knowledge Base Updates:
1) Perform daily updates to the knowledge base, integrating the latest product information, industry updates, and relevant content.
2) Ensure accuracy and relevance of information provided by collaborating with product owners and subject matter experts.

Demand Analysis:
1) Engage in call listening activities to identify emerging demand topics and customer preferences.
2) Provide insights and recommendations to the AI Project Manager for enhancing AI-generated responses in response to these demands.

Collaboration with Product Owners:
1) Establish effective communication channels with product owners to continuously enhance the knowledge base and refine AI responses.
2) Actively gather feedback and insights from product owners to improve the accuracy and relevance of AI interactions.

Product Knowledge & Call Handling Trained
1) To be trained in Banking Related product knowledge and undergo training to learn how a customer service officer handles a customer over a call.
2) Standby support to be activated on adhoc basis by Workforce Management team to service calls/emails or any other functions deemed to be necessary to maintain Customer Centre’s service levels.

These are the experience and skillsets that we are generally looking for:
1. Meticulous and show great attention to detail. (Important)
2. Possess an analytical mindset to identify key performance metrics and evaluate the success of Gen AI initiatives. (Important)
3. Basic understanding of prompt engineering, data pre-processing, and data ingestion techniques in the context of Generative AI systems. (Good to have but not essential)
4. Proficient in MS Office (Word, Excel, Project and PowerPoint)

About iNova

iNova is a different kind of health company. We are leading the way to better health by delivering innovative, patient-centric products that improve the lives of people around the world. Our diverse portfolio of iconic, market-leading consumer health brands and prescription medicines are backed by science and distributed in over 75 markets across Asia, Australia, New Zealand, Middle East & Africa and Europe. Experience the iNova difference today.

The Opportunity

We currently have an opportunity for a Data Engineer - Snowflake to based in Philippines or Singapore, to join our Group Technology Team.

Reporting to the Head of IT Strategy, Architecture & Governance, the Data Engineer will be primarily responsible for designing, developing, and optimizing data warehouse solutions with Snowflake. Secondarily, this role will involve supporting the integration of ETL processes using Microsoft tools (Azure Data Factory, LogicApps etc.) into the Snowflake ecosystem.

Knowledge of data visualization through Power BI would also be desirable to ensure provision of available, reliable, and structured datasets from Snowflake for both reporting and analysis purposes.

This role requires extensive knowledge of data engineering processes, data modelling, data warehousing, and business intelligence best practices. A successful candidate will be able to transform complex business needs into efficient, scalable, and secure data pipelines solutions.

Key Responsibilities

Primary - Data Warehouse Development and Management:

• Design and manage data warehouse solutions in Snowflake, ensuring data integrity, optimization, and security.
• Maintain and improve the performance of the data warehouse to meet the reporting and analytical needs of the business.
• Ensure Snowflake environment is optimized to integrate with upstream data-sources.
• Support Data Governance and Quality within the Snowflake environment.

Secondary - Data Integration / ETL and Visualization Support:

• Collaborate with internal and external integration specialists to identify data requirements and co-design data integration solutions.
• Consume output datasets from various internal and external sources into Snowflake as processed using Microsoft tools such as Azure Data Factory and LogicApps.
• Familiarity with other ETL tools such as Alteryx would also be beneficial.
• Ensure that Power BI reports deliver accurate, real-time data insights through providing appropriate reporting datasets.

Collaboration with Business and IT Teams:

• Work closely with business units including finance, marketing, supply chain, and sales to gather reporting requirements and translate them into technical solutions.
• Liaise with data governance teams to ensure adherence to best practices in data management and security.

Documentation and Compliance:

• Maintain documentation for all data pipelines, transformations, and visualizations, ensuring clarity and consistency for both technical teams and end-users.
• Ensure adherence to corporate policies and industry standards related to data security and compliance.
• Previous experience with CSV and GxP requirements would be a plus.

About You

To be successful in this role, you will possess a Bachelor’s degree in Computer Science, Information Technology, or a related discipline, with a minimum of 5 years hands-on experience in data engineering, with a focus on building and managing data warehouses in Snowflake.

Other key requirements for this role include:

• Snowflake Certification (SnowPro Core and/or other Advanced Certifications) a plus but not mandatory.
• Hand-on experience building data-pipelines in Snowflake with SQL and/or Python.
• Hands-on experience with Data Governance in Snowflake including compliance, security, privacy and access
• Ideally, experience with developing data-centric capabilities using Python in Snowpark and/or applications with StreamLit.
• Experience with ETL tools with a focus on Snowflake Integration, particularly within the Microsoft stack (Azure Data Factory & Logic Apps).
• Experience in building datasets to enable reports and dashboards using Power BI.
• Experience with data integration from cloud platforms and various APIs a plus.
• Effective Communication Skills (Written & Verbal).
• Personal accountability for outcomes and providing high-quality service to business users
• A strong work ethic and a well-organized self-starter.
• Optimistic “can do” personality.
• Be open to change and willing to learn new skills.
• An ability to follow up on pending issues and meet deadlines.

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 Senior Data Scientist

Internal Code: AX25002

We are seeking a highly skilled and motivated Data Scientist to join our dynamic team in shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis..

The ideal candidate will directly contribute to improving the health and well-being of the population, reducing healthcare costs, and championing a proactive approach to healthcare.

What will you do?

1. Data Collection, Processing and Preprocessing:

• Collect, clean, preprocess, and wrangle raw digital health data to ensure its quality, integrity, and suitability for analysis and modeling.

2. Data Analysis and Modeling:

• Utilize advanced statistical techniques, artificial intelligence and machine learning algorithms to analyze complex datasets.
• Develop predictive models to identify patterns, trends, and insights for proactive health interventions.

3. Feature Engineering and Model Development:

• Identify and engineer relevant features from diverse healthcare data sources to enhance model accuracy and performance.
• Design, develop, and fine-tune machine learning models for predicting health risks and outcomes.

4. Productization and Code Transfer:

• Follow through toward productization by deploying models into scalable, production-ready solutions.
• Implement data pipelines and automation processes for efficient data processing and extraction.

5. Documentation and Reporting:

• Document research, experiments, modelling techniques, and methodologies followed in projects.
• Provide comprehensive reports and presentations on results, findings, and recommendations derived from data analysis and predictive models.

6. Collaboration and Communication

• Collaborate with cross-functional teams including clinicians, data engineers, and product managers to understand business requirements and align data science initiatives with company goals.
• Effectively communicate complex findings and insights to both technical and non-technical stakeholders.

7. Continuous Improvement and Innovation:

• Stay abreast of the latest advancements in data science, machine learning, and healthcare technologies.

What are we looking for?

• Bachelor or Master degree in Data Science, Biostatistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, Computer Science or related discipline.
• 3+ years of experience in data science, healthcare analytics, or preventive medicine
• Proficiency in programming languages: Python, R, SQL
• Experience with machine learning frameworks: TensorFlow, PyTorch, Scikit-learn
• Good understanding of biostatistics, epidemiology, and research design
• Familiarity with cloud-based platforms: AWS & Ali Cloud
• Experience with wearable device data, signal and noise processing will be preferred.
• Keen interest in Chronic disease prevention, Population health management and Digital health interventions.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• 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.

Responsibilities:

• Conduct thorough data analysis and implement data-driven solutions to support customer issue troubleshooting, utilizing statistical modelling and machine learning techniques to identify root causes and provide actionable insights for resolution
• Partner with field engineering teams to analyse data from plasma etching systems and provide timely, meaningful and accurate analysis results to support data-driven improvement
• Communicate effectively with both customers and internal teams, present complex data analysis findings or results to stakeholders in a concise, effective and understandable manner
• Develop advance statistical and machine learning algorithms to extract insights from large and complex data sets, and work with internal engineering team to evaluate the effectiveness of the algorithms
• Collaborate with global data engineering teams to share best practices and work on cross-functional projects that require data science expertise
• Manage and maintain the internal analytics solutions, supporting continuous development and implementation, and ensuring that data integrity and accuracy are always maintained
• Develop and conduct training sessions for local engineers on data analytics skills such as JMP and KNIME
• Other duties as assigned

Requirements:

• Bachelor’s or Master’s degree in Microelectronics, Data Science, or a related discipline.
• At least 3 years of experience in the semiconductor industry, including manufacturing equipment, fabrication facilities, semiconductor components, or related fields.
• Demonstrated experience as a Data Scientist within the semiconductor industry, with specific expertise in plasma dry etch processes.
• Expertise in developing and deploying algorithms for process optimization and problem-solving.
• Strong understanding of data analytics, statistical methodologies, machine learning techniques, and predictive modeling.
• Proficient in data science tools and programming languages (e.g., Python, JSL, R) for data processing, visualization, and analysis.
• Strong communication skills, with the ability to collaborate effectively in a team setting and build positive relationships with customers.
• Detail-oriented, organized, and resourceful team player.
• Self-motivated and capable of working independently with minimal supervision.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24994

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

You will be working as data engineer with a large global bank, you will be playing key role in building complex data solution

Job Responsibilities:

• Performing data analysis and data mapping

- Develop data pipelines to be used by BI or AI team

- Ensure data integrity and data quality

- carrying out development using python, Scala and Databricks

- Carrying out development of back end solution on structured and unstructured data

Job Requirements:

• Bachelor’s degree in Information Technology, Computer Science, Manage Information Science, or Analytics

• Min. 3 years of experience working as backend developer using python, pysparks

• Good experience working in big data platforms (Hadoop) and data lakes

• Good experience working with both structured and unstructured data.

• Experience working with databricks, enterprise datawarehouse, Spark streaming

• Good experience in performance optimization

• Experience in data management, data modelling, data warehousing, data mart, data visualization, design and implementation

Interested candidates please email your latest resume to [email protected]

AI and Data Platform Solution Architect/Consultant is a pivotal role responsible for engaging with clients to understand their requirements, demonstrate the capabilities of Data and AI, particularly Large Language Models (LLMs), and architect solutions that meet their needs. This individual should possess a solid understanding of Data fundamentals, with a focus on AI and Analytics, and be adept at conducting Proof of Concepts (POCs) to showcase the effectiveness and applicability of AI & LLM in solving real-world problems. The role involves collaborating closely with sales teams, and clients to articulate the value proposition of Private LLM solutions and drive successful pre-sales activities.

Job Responsibilities:

• Participate in designing solutions that meet functional requirements
• Implement end-to-end specifications for solution components
• Generate relevant documents and reports
• Perform testing and implementation of solutions
• Participate in UX activities such as creating wireframes/storyboards, conducting user research/interviews and developing user stories, storyboards
• Contribute to the SDLC in the areas of coding tools, languages, and software designs

Job Requirements:

• Min diploma/degree in Computer Science or any IT related field
• Familiarity in any of the programming languages: Java, Javascript, Python, C++, C# etc
• Proficient in Web Technologies like HTML, CSS
• Excellent working attitude and a strong team player

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

Orchard

8.30am - 6pm (Mon - Fri)

Job Description

• Managing job boards, screening applicants, interviewing & supporting the job offer and onboarding process of new hires.
• Utilize online platforms (eg. Job Portals, Telegram, etc.) & database in sourcing of profiles, conduct pre-screening and recommending candidates to suitable openings based on their interests, preferences and skill sets
• Support the liaison and arrangement of interview process between candidates and hiring companies
• Support the team in the job offer process and provide onboarding and administrative support to candidates to ensure a positive working experience
• Business Development for new accounts
• Any other admin and ad-hoc assignments

Job Requirements

• Degree in any field with no experience welcome to apply as training will be provided
• Strong communication and interpersonal skills.
• Ability to prioritize and manage multiple tasks in a fast-paced environment.

Jessica Nguyen Huynh Thanh Truc

Recruiter (R23113787)

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

You will be given an opportunity to manage corporate accounts including Financial institutions and MNCs. Meeting the business objective of our clients through your recruitment efforts.

• Involved in end to end recruitment & selection
• Candidate sourcing and pre-screen through phone call, virtual, or face-to-face interview
• Recommend suitable candidates to job orders
• Interviews coordination
• Manage onboarding process
• Administer employment contracts
• Attend weekly and quarterly sales meeting
• Ad hoc duties such as payroll queries and resolve daily issues
• Ensure work is in compliance with company policies and MOM regulations

Requirements:

• Min. Diploma / Degree in any discipline
• Good interpersonal and communication skills
• Possess enthusiasm, takes initiative at work

Interested applicants are welcome to email resume to: [email protected]

CEI Registration: R1104662
EA Licence No.: 99C4599
EA Personnel Name: Celine Tan Si Ling

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