-All races are welcome

-No age limit

-Need to have relevant diplomas and licenses

-At least 5 years of relevant work experience

-Will use the company's system

-Handling employee salaries

-Daily expenses of the company

-Make a statistical report every month

-Manage the work of your accounting assistants

About Certis

Certis is a leading outsourced services partner that designs, builds and operates multi-disciplinary smart security and integrated services. Our multi-service offerings leverage our strong heritage in security, and are augmented by applied AI solutions. These solutions are part of our comprehensive technology development and systems integration capabilities that are fully cyber secure by design. By empowering our people, our goal is to enable our communities to stay safe and thriving. We offer a broad range of opportunities and career pathways for our people to grow and explore their potential. We believe that people, equipped with innovative thinking and technological capabilities will make our world safer, smarter and better.

Life at Certis

If you are a passionate individual looking for opportunities to expand your skills, and purposeful work instead of just a ‘job’, we would love to hear from you. At Certis, no two days look alike. Our work calendars are filled with chances to collaborate with others, and bring new initiatives to life. Whether you’re looking to improve a process, or have an innovative idea awaiting a technology solve, we want you to bring your ideas to the table. We are a close-knit team that looks out for each other, works hard to get the job done, and encourages each other to grow – the perfect place for you to grow your career!

Responsibilities we will trust you with:

• Compile relevant data, including policy documents, CSDS, SOPs, and training materials essential for the project.
• Transform collected data into a suitable format for AI learning, utilizing tools such as Chat GPT to process PDFs and images into structured/LLM usable data.
• Set up Linux environments and tools for experiments, including data preparation for fine-tuning.
• Write Python code for Large Language Models (LLMs) and conduct experiments with Chat GPT and assistant API.
• Ensure the proper recording and organization of collected and transformed data, including maintaining shared folders for project data.
• Provide support in various project-related activities, such as preparing technical slides, organizing project meetings, and documenting meeting minutes.

Your areas of knowledge and expertise that matter most for this role:

• Currently pursuing an undergraduate degree in Computing or Software Engineering at a local university.
• Knowledge of AI training, with a preference for experience in working with large language models like Llama and LlamaIndex.
• Quick adaptability to new environments and a fast learner.
• Commitment until March 2024.

Responsibilities:

• Design, develop, conducts unit testing, and maintains complex Tableau reports for scalability, manageability, extensibility, performance, and re-use.
• Determine the best implementation that will meet the design of the architect.
• Work with team members to create useful reports and dashboards that provide insight, improve/automate processes, or otherwise add value to the team.
• Work through iterative review cycles to deliver results that meet or exceed user expectations.
• Ensure consistency by adhering to a set of software coding and style guides.
• Resolve support tickets related to Tableau dashboards.

Requirements

• Bachelor’s degree or diploma in Business, Economics or in related majors
• At least 2-3 of experience in developing and working Tableau/Data Visualization tool driven dashboards, analytics.
• Ability to query and display large data sets while maximizing the performance of workbook.
• Ability to interpret technical or dashboard structure and translate complex business requirements to technical specifications.
• Must have working knowledge of Tableau Server on content management.
• Understanding of advanced calculations and statistical functions.
• A solid understanding of SQL, relational database management system, data modeling, and normalization.

Interested Applicants, please email your resume to [email protected] (R1441955), stating the position as the subject title in the email. All Applications will be handled with strict confidentiality.

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.

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.

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

Actxa is hiring for Data Scientist

Internal Code: ACX003

1. 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.
• Implement data-driven solutions to optimize preventive health strategies and personalized patient care.

2. 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.

3. Productization and Code Transfer:

• Follow through toward productization by transferring algorithms and codes into scalable, production-ready solutions.
• Work closely with the engineering team to integrate models into the company's systems or products.

4. Documentation and Reporting:

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

5. 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.

6. 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.
• Implement data pipelines and automation processes for efficient data processing and extraction.

7. Continuous Improvement and Innovation:

• Stay abreast of the latest advancements in data science, machine learning, and healthcare technologies.
• Propose and explore innovative methodologies and techniques to improve predictive modeling and data analysis within the healthcare domain.

Requirements

• Bachelor or Master degree in Statistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, Computer Science or related discipline.
• Good understanding or experiences in analog signal and noise processing is required.
• Proven experience in applying machine learning algorithms and statistical methods to healthcare data.
• Proficiency in programming languages like Python, R, or similar for data analysis and modeling.
• Strong understanding of healthcare systems, medical terminology, and electronic health records (EHR) is preferred.
• Experience with tools and frameworks such as TensorFlow, PyTorch, scikit-learn.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment
• Natural tenacity, resilience, and determination.

Benefits

What do we offer?

• Fun working environment
• Flexi benefits
• 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.

Apply for this job

Job Purpose

We are seeking a highly motivated and talented Platform Admin Lead to manage the data platform admin team for the smooth business operations and supporting the hybrid data platform with primary focus on big data platform, data visualisation tool, ETL tool and data science tool.

Job Description

· Lead the team to manage data platforms to meet the organization's needs. Take overall accountability of the administration and operation of data platforms.

· Configure and administer data platforms including security, performance, and scalability.

· Create and manage user accounts and permissions, as well as manage access to data sources in data platforms.

· Monitor and troubleshoot data platform performance and resolve any issues that arise.

· Plan and execute upgrades, patches, and maintenance for data platforms.

· Develop and implement backup strategies for data platforms.

· Collaborate with IT teams to ensure the data platform infrastructure integrates with other systems and platforms.

· Create and maintain documentation for data platform SOPs.

· Support the integration of data platforms to the ecosystems.

· Perform POCs of new capability in data platforms.

· Aligning with the systems engineering team to propose and deploy new hardware and software environments required for data platforms and to expand existing environments.

· Responsible for working closely with the database team, network team, BI team and application teams to make sure that all the big data applications are highly available (24x7) and performing as expected.

· Responsible for capacity planning and estimating the requirements for lowering or increasing the capacity of the platforms.

· Monitor (24x7) server performance, connectivity and security.

· File system management and monitoring.

· Diligently teaming with the infrastructure, network, database, application and business intelligence teams to guarantee high data quality and availability.

· Collaboration with application teams to install operating system and updates, patches, version upgrades when required.

· Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.

· Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.

· Highlights any potential concerns /risks and proactively shares best risk management practices.

Our Requirements

· Bachelor’s degree in Computer Science, Information Systems, or a related field

· Overall 15+ years of experience in platform implementation and administration with mandatory 8 + years of hands-on experience in managing big data platforms

· Deep understanding of OS concepts, process management and resource scheduling.

· Deep understanding of networking, CPU, memory and storage.

· Good hold of shell scripting.

· High level of integrity, takes accountability of work and good attitude over teamwork.

· Takes initiative to improve current state of things and adaptable to embrace new changes.

About Great Eastern

Established in 1908, Great Eastern places customers at the heart of everything we do. Our legacy extends beyond our products and services to our culture, which is defined by our core values and how we work. As champions of Integrity, Initiative and Involvement, our core values act as a compass, guiding and inspiring us to embrace the behaviours associated with each value, upholding our promise to our customers - to continue doing our best for them in a sustainable manner.

We work collaboratively with our stakeholders to look for candidates who exhibit or have the potential to embrace our core values and associated behaviours, as these are the key traits that we expect from our employees as they develop their careers with us.

We embrace inclusivity, giving all employees an equal opportunity to shine and play their role in exploring possibilities to deliver innovative insurance solutions.

Since 2018, Great Eastern has been a signatory to the United Nations (UN) Principles of Sustainable Insurance. Our sustainability approach around environmental, social, and governance (ESG) considerations play a key role in every business decision we make. We are committed to being a sustainability-driven company to achieve a low-carbon economy by managing the environmental footprint of our operations and incorporating ESG considerations in our investment portfolios; improving people’s lives by actively helping customers live healthier, better and longer; and drive responsible business practices through material ESG risk management.

To all recruitment agencies: Great Eastern does not accept unsolicited agency resumes. Please do not forward resumes to our email or our employees. We will not be responsible for any fees related to unsolicited resumes.

- Issue of shipping Invoice

- Receiving incoming shipments.

- Simple packing and stock take.

- Repeat order follow up

- Key in / Input Purchase orders,

- Key in Order reschedule

- key in forecast and quotation

-

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.

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.

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

Actxa is hiring for Lead Data Scientist

Internal Code: ACX002

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.

Team Leadership:

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

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.

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.

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.

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.

Ethical Data Practices:

• Ensure compliance with data privacy regulations and ethical data handling practices.
• Maintain the security and confidentiality of sensitive data in clinical research studies.

Project Management:

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

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.

Requirements

• 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.
• Several years of experience in artificial intelligence, data analysis, statistical modeling, and machine learning with strong programming skills in languages such as Python, R, SQL and C/C++
• Excellent communication and leadership skills.
• Ability to think critically and solve complex problems.
• Deep interest or knowledge in wearable technologies, preventive health, wellness, fitness, mental health, chronic disease prevention & management, population health, etc.
• Experience with clinical trial design, execution, and analysis.
• Previous leadership or supervisory experience, especially in leading teams of data scientists and researchers.
• Proven track record of successful project management and delivery of data-driven insights and solutions.

Benefits

What do we offer?

• Fun working environment
• Flexi benefits
• 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.

Apply for this job

Key Responsibilities:

• Develop and design interactive reports, dashboards, and visualizations using Tableau software.
• Ensure data accuracy and consistency by working with databases, particularly Redshift, Hive & sqlserver, to extract and manipulate data.
• Write SQL queries to retrieve, transform, and aggregate data from databases, demonstrating medium proficiency in SQL.
• Collaborate effectively with cross-functional teams, including data analysts, data engineers, and business stakeholders.
• Act as a strong team player, contributing to a positive and collaborative work environment.
• Communicate effectively with technical and non-technical stakeholders, presenting complex information in a clear and understandable manner.
• Collaborate with business stakeholders to gather reporting requirements and translate them into actionable visualizations.

Requirements

• Bachelor’s Degree in Computer Science, Computer Engineering, or relevant field.
• Proven experience as a BI Engineer/Developer or similar role, with a strong portfolio showcasing your BI expertise.
• In-depth understanding of Tableau software, including advanced features such as LOD expressions and complex calculations.
• Demonstrated ability to write SQL queries for data retrieval, transformation, and aggregation.
• Strong analytical and problem-solving abilities, with a keen eye for details.