Total 163 data entry job vacancies in Information Technology category in ntu novena campus singapore

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

As a Lead Data Analyst, you will play a critical role in guiding strategic decision-making by providing insights from data. You’ll oversee a team of Data Analysts, Engineers and Scientists and collaborate with cross-functional teams, and deliver actionable recommendations to improve game development, player engagement, and operational efficiency.

Key Responsibilities

• Team Leadership: Lead, mentor, and develop the team, fostering a culture of collaboration and continuous learning.
• Data Strategy: Develop and implement data analysis strategies to support game development and business operations.
• Analytics and Reporting: Design and deliver insightful dashboards, reports, and presentations for various stakeholders, ensuring data-driven decision
• Collaboration: Work closely with game development teams, marketing, and other departments to identify opportunities for leveraging data.
• Data Quality and Governance: Ensure data integrity, accuracy, and security by defining and enforcing governance standards.
• Innovation: Stay up-to-date with the latest analytics technologies and methodologies, incorporating them into the team's workflows.

Responsibilities:

· Develop and implement a detailed commissioning plan, outlining all activities, timelines, resources, and testing procedures required for the data center systems (MEP, IT, fire protection, etc.).

· Lead and coordinate commissioning teams, including subcontractors and suppliers, ensuring all systems are tested, verified, and fully functional according to design specifications.

· Oversee the testing, inspection, and verification of all critical systems, including HVAC, electrical, IT infrastructure, power distribution, and other building systems, ensuring they meet performance criteria.

· Identify any system deficiencies or operational issues during commissioning and work with relevant teams to resolve them promptly, ensuring systems meet the required standards.

· Maintain detailed commissioning documentation, including test reports, issue logs, and progress reports, ensuring accurate records of all activities for client handover.

· Work closely with the design and construction teams to ensure that commissioning requirements are incorporated into the final design and installation phases, addressing any discrepancies or modifications required.

· Act as the main point of contact for the client during the commissioning phase, providing regular updates on testing progress, system performance, and any issues. Oversee the final handover process to ensure all systems are fully functional.

· Ensure all commissioning activities comply with local regulations, industry standards, and client specifications, and that systems meet all safety and operational requirements.

· Identify potential risks or delays in the commissioning process and implement corrective actions to mitigate these risks, ensuring the project stays on track for timely completion.

· Provide training to the client’s operations team, ensuring they understand how to operate and maintain the data centre’s systems after handover.

Requirements:

· Bachelor's degree in Mechanical, Electrical, or Civil Engineering, or a related field. Professional certifications related to commissioning (e.g., CxA, LEED, or equivalent) are an advantage.

· Minimum of 5-10 years of experience in commissioning, with a strong background in large-scale projects such as data centers, commercial buildings, or industrial facilities.

· Strong knowledge of commissioning processes, including system testing, validation, and troubleshooting for MEP, IT, and building management systems (BMS).

· Proven leadership abilities to manage commissioning teams, coordinate with contractors, and effectively communicate with stakeholders. Ability to clearly report on system status, risks, and issues.

· Strong problem-solving skills, with the ability to quickly address issues that arise during commissioning and take corrective action to ensure systems meet operational requirements.

Queenie Chua

R24125459

Responsibilities:

· Oversee the planning, design, and execution of all Mechanical, Electrical, and Plumbing (MEP) systems for the data centre construction project, ensuring they meet technical and regulatory requirements.

· Lead and coordinate MEP engineers, subcontractors, and vendors to ensure seamless integration of MEP systems into the overall construction schedule.

· Review and approve MEP designs, ensuring they are aligned with project specifications, client requirements, and best practices.

· Provide technical support to the project team, assisting with complex MEP-related issues and resolving design or construction challenges.

· Ensure MEP installations meet the highest quality standards, including compliance with local regulations and international best practices.

· Oversee the procurement of MEP materials and equipment, and manage subcontractors to ensure timely delivery and quality of work.

· Manage the MEP portion of the project budget, track costs, and implement cost-saving measures without compromising quality or safety.

· Enforce strict adherence to health, safety, and environmental (HSE) standards within all MEP works on-site.

· Track the progress of MEP works, preparing regular reports on milestones, issues, and performance to the Project Manager and stakeholders.

· Oversee the commissioning of MEP systems, ensuring all systems are properly tested and integrated before the final handover to the client.

Requirements:

· Bachelor’s degree in Mechanical or Electrical Engineering, or a related field. Professional certifications (e.g., PMP, CEM, LEED) are a plus.

· Minimum of 5-10 years of experience in MEP management, with a strong background in data centre construction or other large-scale projects.

· In-depth knowledge of MEP systems (HVAC, electrical, plumbing, fire protection), as well as design and installation processes.

· Strong leadership abilities with the capability to manage teams, coordinate with stakeholders, and communicate complex technical information clearly.

· Proven ability to identify and resolve technical issues, implement effective solutions, and make decisions under pressure to keep the project on track.

Queenie Chua

R24125459

Responsibilities:

· Review and approve the structural design, ensuring compliance with project specifications, regulatory requirements, and best practices for data centre construction.

· Manage and lead a team of structural engineers and designers, providing technical guidance and ensuring efficient project execution.

· Collaborate closely with the architectural, MEP, and construction teams to ensure structural elements are integrated seamlessly with the overall building design.

· Supervise on-site structural work to ensure it adheres to design specifications, quality standards, and safety regulations.

· Ensure all structural work is completed according to the highest quality standards, conducting inspections and overseeing testing processes for structural components.

· Oversee the review and approval of structural calculations, ensuring that load-bearing and stability requirements are met for the data centre’s unique design and operational needs.

· Monitor and manage the structural work schedule, ensuring key milestones are met on time and within budget. Address any potential delays or cost overruns.

· Identify and mitigate risks related to structural design, construction methods, and materials. Resolve any technical challenges that arise on-site promptly and effectively.

· Ensure that all structural work complies with local building codes, safety standards, and environmental regulations. Work with authorities to secure necessary permits and approvals.

· Ensure that all structural work is completed to specification and provide the necessary documentation for final handover to the client, including as-built drawings, structural certifications, and testing reports.

Requirements:

· Bachelor’s degree in Civil or Structural Engineering, or a related field. A Master's degree or professional certifications (e.g., Chartered Engineer status) is an advantage.

· Minimum 5-10 years of experience in structural management within the construction industry, with a strong focus on large-scale, complex projects such as data centres, commercial buildings, or industrial facilities.

· Strong knowledge of structural design principles, materials, and construction techniques, with experience in data centre and other specialized construction projects.

· Proven leadership skills with the ability to lead and motivate a team of engineers, work cross-functionally with other teams, and communicate effectively with clients, contractors, and stakeholders.

· Strong analytical and problem-solving abilities, with experience in making critical decisions related to structural design, materials, and site challenges to maintain project timelines and quality.

Queenie Chua

R24125459

Responsibilities:

· Manage and oversee all CSA construction activities, ensuring that civil, structural, and architectural works are completed according to the project’s design specifications, quality standards, and safety requirements.

· Supervise daily site operations to ensure CSA works are progressing as per the construction schedule and in compliance with local regulations and safety standards.

· Collaborate with the design, structural, MEP (Mechanical, Electrical, and Plumbing), and commissioning teams to ensure that CSA systems are properly integrated into the overall project plan.

· Ensure that all CSA works meet the specified quality standards by performing regular inspections and audits of on-site construction activities and materials.

· Oversee the work of subcontractors and vendors performing CSA-related tasks, ensuring adherence to timelines, specifications, and safety requirements.

· Monitor and manage the CSA construction schedule, ensuring that milestones are achieved on time and that work progresses in a timely and coordinated manner.

· Track and control the CSA-related budget, ensuring that the project remains within financial constraints, and implement corrective actions if there are potential cost overruns.

· Enforce strict adherence to health, safety, and environmental (HSE) standards and ensure CSA work activities comply with project-specific safety protocols and regulations.

· Identify potential risks to the CSA construction process and take proactive steps to mitigate issues, delays, or design conflicts. Address unforeseen challenges as they arise.

· Ensure the timely completion and handover of CSA-related components, including documentation such as as-built drawings, materials certifications, and other required reports for final client approval.

Requirements:

· Bachelor’s degree in Civil Engineering, Structural Engineering, Architecture, or a related field. A Master’s degree or professional certifications (e.g., PMP, Chartered Engineer) are an advantage.

· Minimum 5-10 years of experience in construction management with a focus on CSA works, particularly in large-scale projects such as data centres, commercial buildings, or industrial facilities.

· Extensive knowledge of civil, structural, and architectural design and construction practices, with experience in managing CSA works from ground up through to finishing stages.

· Strong leadership and interpersonal skills, with the ability to manage teams, subcontractors, and stakeholders while maintaining clear and effective communication at all levels.

· Exceptional problem-solving and decision-making abilities, particularly in managing complex site challenges, ensuring that CSA work is executed efficiently and safely, and resolving any issues promptly.

Queenie Chua

R24125459

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

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.

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 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

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.

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.

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

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.

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 Data Scientist

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.

About this job:

The role holder, based in Singapore, will join the global analytics team within Life & Health, and should make a significant contribution to the enhancement of PartnerRe Life & Health’s value proposition.

They will be responsible for providing advice and expertise to internal and external clients, via:

• Import and analysis of data to estimate targets associated with disability, mortality, and longevity (and their drivers)
• Development & deployment of predictive models
• Effective data driven storytelling
• Consultative activities related to analysis of data
• Research and product development on application of analytic techniques to existing and new product areas
• Development of self and others on analytic techniques
• Internal and external presentations and publications.
   

• Excellent career progression structure
• Opportunities for professional development
• Good overall company benefits

As an Assistant Manager, Data Analyst, you will be responsible for the following duties:

• Manage databases and systems to capture, store, and organize data related to learning initiatives.
• Leverage tools like Excel, SQL, and Python to extract, analyze, and interpret data, delivering insights that inform Learning & Development (L&D) strategies and operations.
• General regular and on-demand reports on key metrics, including budget usage, course completion rates, and training impact.
• Optimise workflow to increase efficiency, minimize duplication, and improve productivity.
• Partner with other organisation to integrate systems and automate data transfers across platforms.
• Any other ad hoc duties as assigned.

Requirement:

• Possess a Degree in Data Science, Information Systems, Business, or a related field

To apply, simply click on the ‘’apply’’ button in the job advertisement or alternatively, you can send in your resume via email

Email Address: [email protected]

We regret to inform that only shortlisted candidates will be notified.

ALLIED SEARCH PTE. LTD.

EA LICENSE : 19C9777

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

About the role:

As a Data Engineering Intern at Rapsodo, you’ll play an essential role in building and optimizing the data infrastructure that powers decision-making and innovation throughout our organization. This role is ideal for students passionate about data engineering, with a foundational knowledge of data analytics to support meaningful insights. You’ll gain hands-on experience with cutting-edge technologies, applying your skills to bridge data engineering and analytics, and making an impact on projects in sports technology and business strategy.

Key Responsibilities:

·       Participate in the design, development, and maintenance of Rapsodo’s data systems, using tools like Google BigQuery, Kafka, and GCP Pub/Sub.

·       Support data ingestion, processing, and ETL (Extract, Transform, Load) processes to deliver reliable data for analytics teams.

·       Collaborate with data analysts and scientists to ensure clean, structured data is available for analysis, reporting, and visualization.

·       Assist in the setup and monitoring of real-time data pipelines, learning to identify ways to streamline data ingestion and reduce latency.

·       Work on data collection, cleaning, and preprocessing, preparing data for analytics and helping generate insights for diverse projects.

·       Collaborate with the team to troubleshoot and improve data pipeline and infrastructure efficiency.

·       Create basic reports, dashboards, and visualizations with tools like Tableau or Power BI, conveying valuable insights to business stakeholders.

·       Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field.

·       Knowledge of SQL and familiarity with Google BigQuery or other data warehousing solutions.

·       Exposure to programming languages such as Python or R and experience with data manipulation, cleaning, and preprocessing techniques.

·       Interest in or exposure to data streaming technologies (e.g., Kafka, GCP Pub/Sub) and ETL development.

·       Basic understanding of statistical analysis and hypothesis testing to support data-driven insights.

·       Experience with data visualization tools (e.g., Apache Superset, Tableau, Power BI, or Matplotlib) is a plus.

·       Excellent written and verbal communication skills.

·       Strong analytical skills, attention to detail, and problem-solving abilities.

·       Strong interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.

·       An inquisitive mindset, coupled with a desire for continuous learning and growth.

ViSenze, an AI-powered Commerce Search and Discovery platform, is looking to hire a motivated and experienced Senior Data Scientist

We revolutionize the retail industry with product discovery solutions, processing over a billion monthly queries globally from retailers such as Myntra, Ajio, Meesho, Rakuten, Zalora, Mango, and Target

Our mission is to empower customers to 'See. Style. Shop', and we need you to help us continue to deliver this promise

Responsibilities

• Understand complex real-world problems and leverage domain knowledge to develop reliable models
• Strategize ways of constructing training datasets that are representative, diverse and free of bias
• Continuously review model performance with sharp analytical skills, identify potential issues and improve them iteratively
• Optimize workflows and processes, as well as develop useful tools to boost the efficiency and scalability of routine tasks
• Provide requirements for new or existing internal tools to improve internal analytical capabilities, pipelines and platforms
• Be an expert in communicating insights and recommendations to audiences of varying levels of technical sophistication

• Bachelor’s degree in Computer Science, Electronic Engineering, Statistics, Applied Mathematics, Operation Research, or a related quantitative Bachelor’s or Master’s degree
• At least 2 years of experience with building machine learning and predictive model
• Familiar with Python is a must
• Familiar with essential data science libraries, including Pandas, Numpy, Scipy, Scikit-Learn and Matplotlib
• Sound knowledge of popular deep learning frameworks, such as PyTorch, TensorFlow, MXNet, Caffe, etc
• Strong problem-solving mindset, down-to-earth attitude, passion for machine learning and everlasting curiosity to learn

Good to Have

• Excellent communication skills - able to present their findings and models to senior stakeholders
• Experience in deploying models and systems into production environments
• Knowledge of golang
• Experience with developing Deep Convolutional Neural Networks (CNN)
• Familiar with Software Development Life Cycle (SDLC)
• Fluent in Data Visualization

[Order Number: 764780]

Hybrid Working Arrangement

Excellent data visualization skills

Responsibilities

• Work with group companies to collect, clean, and preprocess datasets to ensure data quality and reliability
• Conduct exploratory data analysis to identify patterns, trends, and anomalies
• Ability to data manipulation and apply statistical methods to transform data into actionable insights for business stakeholders (familiar with regression and time series analysis)
• Interpret and communicate findings to non-technical stakeholders through reports, BI dashboards, and presentations
• Automate existing recurring reports and analyses
• Design and develop the data architecture for BI solutions
• Build data pipelines where necessary for the development of visualization solutions
• Ad-hoc analysis required by management to support strategic initiative

Requirements

• Candidate must possess at least a Degree in mathematics, computing, statistics, business analytics, finance or equivalent
• Candidate must have at least 2 years of experience in business setting focused on data analysis, insights, and recommendations.

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities

Please kindly refer to the Privacy Policy of Good Job Creations for your reference:
https://goodjobcreations.com.sg/en/privacy-policy/

EA Personnel Name: Lim Lai Xin
EA Personnel Reg. no.: R2197913
EA License no.: 07C5771

[Order Number: 764780]

Hybrid Working Arrangement

Training Provided

Responsibilities

• Work with group companies to collect, clean, and preprocess datasets to ensure data quality and reliability
• Conduct exploratory data analysis to identify patterns, trends, and anomalies
• Ability to data manipulation and apply statistical methods to transform data into actionable insights for business stakeholders (familiar with regression and time series analysis)
• Interpret and communicate findings to non-technical stakeholders through reports, BI dashboards, and presentations
• Automate existing recurring reports and analyses
• Design and develop the data architecture for BI solutions
• Build data pipelines where necessary for the development of visualization solutions
• Ad-hoc analysis required by management to support strategic initiative

Requirements

• Candidate must possess at least a Degree in mathematics, computing, statistics, business analytics, finance or equivalent
• Training Provided

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities

Please kindly refer to the Privacy Policy of Good Job Creations for your reference:
https://goodjobcreations.com.sg/en/privacy-policy/

EA Personnel Name: Lim Lai Xin
EA Personnel Reg. no.: R2197913
EA License no.: 07C5771

• Design, develop, and maintain scalable data pipelines and ETL processes using Hadoop and Spark.
• Write efficient and optimized data processing jobs in Scala to transform and load data.
• Utilize SQL for querying and manipulating data across various databases.
• Collaborate with data scientists and analysts to gather requirements and deliver data solutions that meet business needs.
• Monitor and troubleshoot data processing workflows to ensure high performance and reliability.
• Implement best practices for data quality, governance, and security.
• Document data engineering processes, workflows, and architecture for team knowledge sharing.
• Stay updated on industry trends and emerging technologies to continuously improve our data strategies.

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience as a Data Engineer or in a similar role.
• Strong proficiency in Hadoop ecosystem components (e.g., HDFS, Hive, Pig).
• Hands-on experience with Apache Spark for big data processing.
• Proficient in Scala programming for data transformation tasks.
• Advanced SQL skills for querying and managing large datasets.
• Experience with data modeling, data warehousing, and ETL processes.
• Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.
• Strong analytical and problem-solving skills.

• Assist in the development and optimization of ETL processes using PySpark and Databricks.
• Collaborate with team members to design and implement data models and architecture in AWS.
• Maintain and monitor data pipelines to ensure data quality and reliability.
• Utilize GitHub for version control and collaboration on codebases.
• Participate in code reviews and contribute to best practices in coding and data engineering.
• Support the team in implementing CI/CD practices for data workflows.
• Document processes and workflows for data engineering tasks.

• Familiarity with AWS services (e.g., S3, Redshift, Glue) and cloud computing concepts.
• Basic knowledge of Databricks and PySpark for data processing.
• Understanding of Git and experience with GitHub for version control.
• Awareness of DevOps principles and tools (e.g., CI/CD, Docker) is a plus.
• Databricks certification is a plus.

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

We are seeking a passionate and strong leader in Data Analytics and Data Science to lead the strategy, development, and implementation of data-driven solutions across the organization. This role will oversee and manage the end-to-end process, from data collection, analysis, solution deployment and business integration.

What you will do:

• Data Strategy & Vision: Understand key company priorities and translate them into an actionable Data strategy to drive data maturity across the organization, enabling business growth, improve risk management, and enhanced customer experiences. 
• Team Leadership: Lead and mentor the Data Analytics and Data Science domain leads and their respective reportees to develop a high performance data team
• Influence Stakeholders: Partner with cross-functional teams such as Data Engineering, Product, Marketing, Sales, Risk, and Finance to drive data-driven initiatives, align on objectives, and ensure effective execution. 
• Data to Drive Business Impact:  Initiate new opportunities and continue existing projects where data can deliver analytics recommendations to drive key business metrics, and develop processes and frameworks to enable this.  

What we are looking at:

• At least 7+ years of experience in data analytics, data science, or related fields, with at least 3 years in a leadership role. Experience in  Financial Services, Fintech, and/or Tech companies and domain exposure to SME credit risk is preferred.
• Proven experience leading and managing teams in a fast-paced, high-growth company or fintech environment. Experience being a manager of managers is preferred.
• Proficient in SQL, Python or R and data visualization tools (e.g., Tableau, Qlik). Experience selecting and implementing tools for analytics and data science is preferred.
• Ability to translate complex data insights into actionable business strategies and influence stakeholders.
• Excellent communication skills, capable of presenting insights to non-technical stakeholders and influencing strategic decisions.
• Excellent problem solving and critical thinking skills  in a structured fashion
• Strong prioritization abilities according to business needs and constraints.

• Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries.
• Flexible Working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life.
• Medical Benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their back for their loved ones too.
• Mental Health and Wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity

We are seeking an experienced Data Engineer with a strong background in Hadoop, Spark, and SQL, specifically within the banking sector. The ideal candidate will be responsible for designing, building, and maintaining large-scale data pipelines and platforms to support critical banking applications and decision-making processes.

Key Responsibilities:

• Data Pipeline Development: Design, develop, and maintain efficient data pipelines and workflows using Hadoop and Spark frameworks to support the bank’s data processing needs.
• Data Integration & ETL: Create ETL processes to extract, transform, and load large datasets into Hadoop ecosystems from various banking systems, ensuring data consistency and accuracy.
• Database Management: Write optimized SQL queries to manage and analyze data stored across relational databases, data lakes, and cloud platforms.
• Data Processing & Analysis: Implement scalable data processing solutions to analyze large datasets, provide insights, and deliver solutions for financial services and risk management.
• Collaboration: Work closely with business analysts, data scientists, and IT teams to ensure data solutions align with banking sector needs, including compliance with regulations and reporting requirements.
• Performance Optimization: Fine-tune Hadoop and Spark applications for performance, improving throughput and reducing latency.

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• Strong years  experience as a Data Engineer, specifically within the banking or financial sector.
• Proficiency in Hadoop ecosystem tools (HDFS, Hive, HBase) and Spark for large-scale data processing.
• Strong experience with SQL and relational databases such as PostgreSQL, MySQL, or Oracle.
• Familiarity with cloud platforms (AWS, Azure) and containerization tools (Docker, Kubernetes) is a plus.
• Experience in data governance and compliance regulations within the financial industry.
• Excellent problem-solving and analytical skills.

• Salary: SGD 6000 - 9500
• Great Work Culture
• Includes comprehensive insurance for self and family. Includes Specialist and Dental Coverage.
• Includes Standard Annual and Sick Leave

Team Summary

Visa Consulting & Analytics (VCA) is Visa's consulting division, serving Visa's clients (including card issuers, acquirers and merchants) and solving their strategic problems focused on improving performance and profitability. Drawing on our expertise in strategy consulting, payments, data analytics, marketing, operational and macroeconomics, VCA drives high impact and tangible financial results.

Join us as a Senior Manager, Data Solutions and Analytics and play an instrumental role in steering our Data strategy and delivery of data projects with Visa clients. You will translate analytical insights and used cases into captivating narratives tailored for our clients and stakeholders while offering valuable data advice to support business growth.

What a Senior Manager, Data Solutions and Analytics does at Visa:

• Identify new client opportunities by collaborating with market and regional teams.

• Develop data narratives, case studies and play back results to internal teams across the AP region.

• Grow Presence of Data Science projects with Visa clients across the region.

• Lead Commercialization activities for client data projects across the region.

• Coordinate Data Science initiatives across market and regional accounts.

• Coordinate with client data projects delivery team and project governance.

• Work closely with our different functional practice initiatives and account planning sessions.

Why this is important to Visa

This role will be vital in the growth of our Data as a Service business across Asia Pacific. The role will help to scale, diversify and transform our Managed Services Data capabilities which will support Visa’s business in the region. You will evolve our Data Services to drive uptake and delivery of Data projects. You will own key internal and external stakeholder relationships with Visa teams and our vendors as well as supporting our clients.

Projects you will be a part of:

This role will play a critical role in developing compelling stories from data to drive client actions and optimize portfolio performance. You will be working closely with teams across different regions to build new solutions and ideate approaches for various markets.