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

You Will

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

You Bring

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

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

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

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

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

Technology Solutions Office is looking for Data Analyst

Internal Code: A24040

What will you do?

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

What are we looking for?

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

What do we offer?

• Fun working environment
• Employee Wellness Program

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

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

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

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

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

Job Description: Assoc Director / Senior Manager, HR Data and Analytics APAC
Department: Human Resources
Location: APAC Region

Reporting lines: Direct - Head of Compensation & Benefits and HR Operations APAC, Dotted – Chief Talent Officer APAC

Job Summary:

The Assoc Director / Senior Manager, Data and Analytics (C&B and HR Operations) will have dual roles in managing both HR data analytics /reporting supporting Compensation and Benefits and Talent programs across APAC region. This role will ensure the effective use of HR platforms to support the Talent Management future direction, providing actionable insights to inform effective workforce planning and data & statistical analysis whilst maintaining high standards of data accuracy and reporting.

Key Responsibilities:

1. Regional Coordination and Point of Contact:
   • Serve as the regional point of contact for C&B, HR Operations and Talent Management for both APAC and Groupe on Publicis Global programs and platforms
2. C&B, Platform and System Management:
   • Stay updated with C&B programs and HR platforms best practices and new functions
   • Partner with markets on roll-out and updates of global C&B programs and HR platforms and systems within the APAC region
   • Work with APAC markets to ensure accurate and timely information availability across all HR platforms aiming for 100% accuracy
3. Data Analysis and Reporting:
   • Collaborate with subject matter experts across functions including HR, Finance, Talent Acquisition to gather and interpret requirements and develop metrics, reports and dashboards to support the needs of the business
   • Use advanced data analysis to influence changes to operations, processes, policies and programs
   • Design and deploy data pipelines and solutions to help business make better people decisions
   • Deploy leading analytics techniques to deepen employee engagement and development
   • Develop Predictive Analytics based on HR requirement
   • Identify data source and information required to perform predictive Analytics
   • Identify the relevant tools or system required to ensure consistent review of the analytics
   • Design analytical solutions, implement algorithms, and perform experiments to define the next generation HR capability
   • Stay abreast of emerging trends and best practices in HR analytics, data science and technology and identify opportunities for innovation
4. Operational Support:
   • Manage all HR reporting for the function i.e. C&B, Operations, Talent Management etc
   • Own and optimize existing reporting (Monthly, Quarterly, Annually) as part of the Talent management framework. This will include design sprints, support to business growth areas, and HR reports to inform the HR organization and the business
   • Manage regional HR market survey submissions  
   • Support on the development of HR related tools, playbook and framework
   • Manage platform users, and support the team with platform-related issues, in coordination with global support
5. Onboarding and Training:
   • Provide training to market HR teams on specific analysis and reporting functionalities.

Publicis Platforms

Qualtrics, ICIMS, Career Conversations, Lion Alert, Marcel, Career Setting

What we’re looking for:

• Proven experience working with unstructured data to produce meaningful insights and problem-solve business problems.
• Hands-on experience mining and deriving insights from large datasets; adept in using data analytics to draw insights from data and visualization tools for presentation of data to effectively convey meaningful insights
• A strategic mindset that understands the business and how HR can influence better decision making when the data is used to tell a story with the ability to effectively communicate technical concepts to non-technical stakeholders
• Experience working in a global data intensive environment, where HR systems, data management, and report generation are primary functions of your role.
• Effective communication and project management skills
• Ability to work collaboratively with regional, global teams and stakeholders
• Strong attention to detail and commitment to accuracy and quality in data analysis and reporting
• Experience with HR Sytems (e.g. SAP) and other HR technology platforms is a plus

Preferred Skills:

• Advance proficiency in MS Office, including Powerpoint and superior Excel skills, Tableau and statistical software e.g., Power PBI, SPSS, R, Python, Tableau
• Experience with predictive analytics and data visualization.
• Knowledge of APAC regional HR practices and compliance requirements.

Key Competencies:

• Analytical Thinking
• Data Management
• Project Management
• Communication
• Collaboration
• Attention to Detail
• Curiosity

Job Summary:

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

Job Responsibilities:

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

Job Requirements:

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

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

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

Registration No: R24123448 / EA Licence No: 12C6253

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

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

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

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

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

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

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

Actxa is hiring for Lead Data Scientist

Internal Code: AX24002

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

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

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

What will you do?

1. Data Analysis and Modeling:

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

2. Team Leadership:

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

3. Research Strategy:

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

4. Data Collection and Preparation:

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

5. Experimentation and Hypothesis Testing:

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

6. Cross-functional Collaboration:

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

7. Project Management:

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

8. Continuous Improvement:

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

What are we looking for?

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

What do we offer?

• Fun working environment
• Employee Wellness Program

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

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

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

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

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.

Responsibilities:

- To be responsible for all routine clerical duties such as attending telephone calls, typing, filing, general data entry and other administrative paperwork

- Updating the database regularly

- Ad-hoc duties as assigned by superior/ management

Requirements:

- Minimum Higher Nitec or Diploma in any field or equivalent

- Proficient in Microsoft Office (words /excel /powerpoint)

- On-the-job training will be provided

- Strong willingness to learn

- Able to work independently & multi-task

- Able to commence work immediately or within a short notice

Job Description:

• As a key member of HR payroll and data management team, you will ensure accuracy, consistency and standardization of HR processes to ensure efficient administration of all HR activities that complies with company’s policies and government legislations.
• You will work proactively in partnership with key stakeholders to deliver end-to-end processing of employee data, keep proper documentation and records, and administer the staff compensation and benefits.
• In addition to the day-to-day operations, this role will identify and streamline the HR processes and develop a centralized shared service unit at the group level to drive quality HR services (covering full employee lifecycle) to employees in a large organization.
• There will be projects centered around HR system enhancements in SuccessFactors, BIPO Payroll, Leave and Attendance Management for you to hone your project management skills and develop yourself to be the subject matter expert on the deployment of HRIS.

Job Requirements:

• Minimum 2 years or more relevant HR Shared Service Experience.
• Diploma/Degree in Business Administration, Human Resources, Psychology or related.
• Hands-on experience on SuccessFactors is a pre-requisite.
• Knowledge on Payroll administration is an advantage.
• Proficient in Microsoft Office applications.
• Prior experience in HR shared services environment with a large organization is preferred.
• Highly self-motivated, committed and resourceful; with initiative and drive to deliver organized and meticulous work.

About STT GDC

Be part of a global leader in data centre solutions

ST Telemedia Global Data Centres (STT GDC) is a data centre provider headquartered in Singapore, with a global footprint in major business markets across Singapore, the United Kingdom, Germany, India, Thailand, South Korea, Indonesia, Japan, the Philippines, Malaysia and Vietnam. We harness cutting-edge technology to deliver a comprehensive suite of world-class, scalable and flexible data centre solutions, including connectivity and support services, designed to meet the evolving colocation needs of today and tomorrow. By joining our team, you’ll be part of a dynamic, fast-growing industry that forms the cornerstone of today’s digital world.

Why STT GDC

STT GDC’s internal culture is built on creating a forward-thinking, socially responsible environment that ignites positive change. We empower our employees to thrive in a workplace defined by excellence, innovation and growth, where collaboration and creativity can flourish.

✨ Empathy-driven culture: We lead with compassion and understanding, fostering a supportive and inclusive environment that values your well-being and voice.

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.
   

The candidate will have opportunities to work on exciting projects/deals in the fast-growing data centre industry, seeing through the entire project life cycle from inception to execution. He/she will be part of a team that works closely together to identify, source, negotiate and execute business opportunities in both new and existing markets.

As part of Keppel Group’s drive towards advancing sustainable development, the candidate will also have opportunities to be involved in the development and implementation of sustainable solutions in the data centre space.

This role will report to the Head of Business & Programme Development and is based in Singapore.

Job Description:

• Drives data centre development projects in Singapore and overseas
• Actively contribute and participate in driving/co-driving key strategic initiatives and in developing business or investment cases (including but not limited to new market entry, partnerships, decarbonisation/renewables etc)
• Provide overall support for an innovative and sustainable data centre campus development in Singapore
• Involve in sustainability efforts to decarbonize new and existing data centres, including working with renewable energy and low carbon energy providers
• Support end-to-end investment process, including origination, deal evaluation, commercial viability, financial analysis and modelling, negotiations, due diligence, and execution
• Conduct market research / scanning and be up to date with industry developments in key identified markets
• Prepare briefing papers and presentations materials for management, potential partners and customers
• Mentor and guide junior team members where necessary
• Support ad-hoc initiatives as required

Job Requirements

• Bachelor’s degree in Business, Accounting, Economics, Corporate Finance, Real Estate, Environmental Engineering or equivalent
• Minimum 8 to 12 years relevant working experience in business development, real estate, infrastructure, investment banking, renewables, or M&A. Experience in data centres or energy-related industries is a plus.
• Good business acumen to be able to negotiate and structure deals. Demonstrated ability to engage senior stakeholders.
• Able to work independently in a fast-paced environment, driving and executing initiatives under pressure and tight deadlines.
• Ability to conduct financial, commercial and risk analyses of business opportunities.
• Good communication and writing skills. Competent in MS Word, Excel and PowerPoint
• Enthusiastic learner who is independent, self-motivated and proactive, yet also an effective team player
• Willing to travel as required

The Senior Client Success Specialist is an advanced subject matter expert, responsible for building and maintaining the client relationship to drive value for the client and increased lifetime value for the organization.

This role is responsible for multiple medium-to-large or diverse (multi-service) contracts for larger clients. As the primary post-sale point of contact for clients they drive client-facing activity through the Client Success Management Charters of Adoption, Expansion and Renewal.

Acting as the clients’ trusted advisor they help the client realize value from their relationship with the organization and ensure the client’s relationship experience is a positive one.

This role is required to work in partnership with sales and client/service delivery management teams to deliver in-contract growth and a successful on-time renewal as the primary customer contact point.

Core Duties and Responsibilities

Client Nurture / Relationship -

• Develops and maintains the relationship with client representatives to Management level, being recognized as the client’s ‘trusted advisor’ through periodic engagements
• Coordination of new client on-boarding responsibilities, including set-up of the client onto the Client Portals (plus other associated activities).
• Ensures the client can interact successfully with the company and to optimize the engagement (measurable through improving CSAT).
• Preparation and implementation of weekly/monthly/quarterly/bi-annual client service meetings, client audits, client satisfaction surveys as well as tracking of service issues, quality assurance metrics and complaints (including being the first point of contact for complaints and escalations)
• Acts as an escalation point for client issues which are not being resolved though standard process, facilitating a satisfactory client outcome with relevant resolver groups within the company.
• Gathers and tracks client requirements and specifications, including changes throughout the life of the contract and associated approvals/authorisations from the client and the company
• Documents and publishes meeting agendas and associated minutes, and tracks action items, owners, and due dates.
• Control and management of the commercial client contribution, monitoring of the ordering and billing processes as well as chasing outstanding payments/receivables. Development of client interfaces and systems (for example CRM and Change Management Systems)

Adoption Charter -

• Ensures the client is aware of and is successfully adopting offer features and increasing their usage of services (as appropriate).
• Proactively helps the client to realize demonstrable value from the offers and meet their original business (procurement) objectives.

Expansion Charter -

• Drives up-sell of existing offers/services and close the deals to achieve revenue targets.
• Identifies cross-sell opportunities (to extend company's footprint with the client) and facilitates engagement with Sales/GTM functions to engage the client on these opportunities.

Renewal Charter -

• Demonstrates the value delivered by the company throughout the lifetime of the contract and drives a successful and on-time renewal.
• Minimizes churn (client, revenue, service) at renewal and seek opportunities to drive up-sell / cross-sell as part of the renewal process.
• Prepares status reports to keep management, clients, and project team informed of project status, renewal business metrics and related issues
• Recommends appropriate process and procedure revisions in support of continuous improvement.

Client Success Practice -

• Be an active member of the Regional and Global CS Management practice (including adopting standard methodologies, platforms/tools, KPIs, best practice activity, sharing experiences with the community).
• Responsible for Data Quality Management within own client portfolio.
• Must be able to respond to emergency situations at the data center and to carry a cell phone and provide 24 x 7 support as needed.
• Periodic travel to other NTT GDC locations, and client or vendor sites.
• Builds and maintains Client Success Management skills and operating knowledge.
• Builds and maintains an up-to-date knowledge of company offers.

Knowledge, Skills and Attributes:

• Excellent interpersonal skills with the ability to develop and maintain solid stakeholder relationships up to Management level.
• Possess excellent problem solving, critical thinking, client service, verbal and written communication skills.
• Advanced account planning and stakeholder mapping and management techniques documented in Account Plans
• Ability to interpret a client’s business strategy / plans and understand opportunities for company solutions/services.
• Advanced knowledge of company offers and services, including the core functionality and features, linkage within organization's service portfolio, pricing structures, client benefits.
• Ability to provide an external industry viewpoint (including industry insights, technology trends and competitor landscape) and to highlight company's expertise and differentiated offerings and position “partnership” offerings with the client.
• Be highly proficient with the use of IT equipment and software systems, including a very good knowledge of MS Office, especially Excel.
• Advanced sales skills (consultative selling and negotiation) with the ability to identify up-sell opportunities and close resulting deals participating as member of the overall sales account team.
• Ability to execute on-time renewals with minimum volume or price churn and maintaining readily available client contract database of post and current contracts together with client specific documentation.
• Strong knowledge and understanding of IT service environment, service operations and ITIL practices.
• Advanced understanding of company’s high-level operating model and the ability to develop and maintain relationships across relevant cross-functional teams.
• Advanced understanding of company’s billing processes and client invoicing linked to contracted services.
• Advanced understanding of financial statements and metrics, including revenue, expense control, and growth relative to market in order to hold strategic client conversations.
• Advanced understanding of contracts and contract management; with the ability to maintain the contract, to discuss with the client and understand how to position as a value exchange.

Additional Requirements:

• Bachelor’s degree or equivalent in information technology or sales or a related field.
• Additional relevant vendor certifications are advantageous.
• At least 6 – 8 years of relevant experience in a client-facing role in one or more of Sales, Service or Consultancy disciplines in a large scale (preferably multi-national) technical services company, such as a data center services provider, telecommunications and/or internet services provider or another similar technical organisation.
• Advanced subject matter and services product expertise within sales and operations.
• Advanced experience in a Managed Services and/or Outsourcing environment.
• Advanced experience as Operations /Delivery Manager, Account Executive, Solutions Consultant/Service architect for medium to large managed services contracts for assigned clients.

· Perform remote hands services including tasks such as securing cabling, checking port numbers, observing, or reporting indicators on equipment, rudimentary observation of the environment, and server reboots.

· Perform remote Hand support (Media Management, Visual Inspection, Reboot devices, staging room, Physical connect/disconnect of HDD, network cable connectivity test, insertion of fibre SFP, circuit migration, dismantling unused fibre, fibre regrooming etc).

· Assist to oversee the IT equipment hardware inventory on individual racks inside the Data Center.

· To handle input and output media with due care for integrity of data and utility of media for subsequent use, including off-site storage.

· Perform event monitoring for IT Systems and Network infrastructure.

· Perform incident escalation, ensure incidents are responded and attended to. To redirect for 2nd or 3rd level resolution based on critically, impact and customer Service Level Agreement (SLA).

· Manage and mitigate escalations of high impact system failures and assist in tracking the incidents till closure.

· Perform troubleshooting using test gear/tools; Virtual fault locator, Optical fiber identifier, Optical power meter, Optical time domain reflectometer.

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.

The Manager, IT DC Network is to effectively deliver stable, efficient, secure and best in class network

connectivity serving all business areas consuming network services, and to ensure that IT delivers

standardized systems and platforms for a stable, secure and efficient infrastructure for the Data Center

and other buildings.

The incumbent shall deliver IT systems to the business to efficiently support DC Operations, Security

Management and Data Center Delivery. The position shall enable the business areas responsible for, to

utilize the right IT solutions in the best manner in terms of efficiency and client focus.

Furthermore, this role shall define those standards for the IT infrastructure in alignment with all relevant

stakeholders including Security Management, Design & Engineering, Construction and Data Center

Delivery and he/she shall ensure compliance that these standards for both new buildings and retrofits are

implemented.

Main Responsibilities

• Technical and disciplinary management of the network team (Routers, Switches, WiFi, WAN lines, Rack and DC infrastructure, Network Access Control, DNS / DHCP / IP Address Management, Phone system (and telecom lines), Media and conference equipment) and DC IT infrastructure team.
• Responsible for the operation of the security systems in IT (Firewall, SIEM, VPN Gateway, Endpoint Protection, Vulnerability Scanner, Network Scan and Detection) as request and define by the IT Security team.
• Definition of IT standards for the areas of network, racks, cabling and construction requirements.
• Responsibility for the implementation according to the standard
• Responsibility for the management of purchasing as well as external suppliers
• Responsibility for adherence to schedules, especially timely ordering, and delivery.
• Reporting of status, projects, issues etc. to IT and Executive Management.
• Further development of the existing IT architecture
• Acting IT business partner for DC Operations, Security Management and Data Center Delivery
• Consult the business in the respective IT areas to identify best IT solutions to enhance business capabilities
• Management of group internal and external IT service providers and specialist groups
• Evaluation, coordination, and processing of change requests including demand management in those areas
• Responsibility for resource and delivery planning within the team
• Continuous improvement of existing processes and input in the definition of new processes
• Acting Project Manager within own area for bigger projects
• Central Budget Planning and Cost Control within own department to enhance overall efficiency
• Processing incidents and service requests in the ticket system (2nd level support)
• Participation in on-call duties

Professional Skills

• Diploma or Bachelor’s degree with a focus on (economic) computer science or equivalent work experience
• 5 or more years of professional experience in the area of network
• Experience in the management of a team would be beneficial but not mandatory
• Good communications and writing skills

Additional Requirements

• Very good knowledge and working experiences in the area of network
• Ability to quickly tap into and master new areas of responsibility
• Enforcement and persuasiveness
• High commitment and willingness to travel (10-20%)
• Integrative and independent work style, self-motivation, and team spirit
• Excellent Communication and presentation skills
• Strategic thinking individual with a structured and target-oriented approach

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

The Senior Director, Client Success is a leadership role, responsible for managing a team of Client Success Managers who build post-sales relationships with clients to drive and increase adoption and utilization of company products and services.

This role is accountable for leading and managing the identification of opportunities and closing of additional revenue from assigned clients, including upselling and cross-selling of related products/services, client renewal, and retention results.

The Senior Director, Client Success ensures that the Client Success Management strategy is achieved by driving in-contract growth and renewals (with minimum churn). This is in pursuit of revenue and gross profit targets (for contracts within the Client Success Management account base) set out in the go-to-market services strategy.

This role is required to work in partnership with sales and client/service delivery management teams to deliver in-contract growth and a successful on-time renewal as the primary customer contact point.

Core Duties and Responsibilities

• Accountable for the achievement of services revenue and gross profit targets for the region through - In-contract growth by up-sell / cross-sell of service offerings within the Client Success managed account base; On-time renewals (with minimal client or price churn) for either all contracts within their region or those within the Client Success managed account base.
• Leads a team of Client Success Management professionals (Client Success Specialists and potentially Client Success Country Leads) in delivering strategic Client Success Management objectives.
• · Provides mentoring, coaching and manages the performance and professional development of their team of Client Success Management professionals.
• Continuously upskills and improves the capability of the Client Success Management professionals in line with Client Success Management strategy.
• Accountable for development of client contract strategies which are aligned to the overall Client Success strategy and objectives, ensuring these are developed and executed in a consistent manner.
• Works closely with Client Success Management professionals and other client-facing stakeholders to ensure consistent and effective client engagements.
• Remains constantly informed of major service delivery or relationship issues affecting key clients, intervening in the client engagement activities as required.
• Develops and maintains relationships with key strategic clients to promote the value of Client Success Management offer and enhances understanding of clients’ strategic needs.
• Contributes to the development of the global Client Success Management strategy and oversees resulting regional delivery programs.
• Ensures alignment to the Client Success Management operating model and strategy across the regional Client Success Management community.
• Drives proactive and collaborative membership of global Client Success Management community for their region, supporting practice initiatives and sharing local knowledge/best practice.
• Develops and maintains relationships with cross-functional stakeholders to promote/evangelize the Client Success Management agenda.

Knowledge, Skills and Attributes

• Ability to develop and maintain solid stakeholder relationships (across relevant cross-functional teams and within client environments where necessary).
• Excellent communication skills (verbal and written) coupled with good questioning skills.
• Significantly vast leadership skills and ability to drive standards of performance.
• Significantly vast understanding of financial statements and metrics, including revenue, expense control, and growth relative to market.
• Significantly vast ability to interpret complex data/reports, derive business insights and define relevant operating responses.
• Significantly vast understanding of organization's high-level operating model (how we work, and which functions are involved).
• Significantly vast understanding of the organization's services business and commercial service offerings available.
• Significantly vast knowledge and understanding of IT service environment, service operations and ITIL practices.
• Demonstrates a significantly vast understanding of and the ability to position “partnership” offerings.
• Significantly vast understanding of company approach to Client Success Management, including the strategic direction and operating model.

Additional Requirements

• Bachelor's degree or equivalent in business management or related field.
• Additional relevant vendor certifications are advantageous.
• Significantly vast demonstrable experience in a client-facing role in one or more of Sales, Service or Consultancy disciplines in a large scale (preferably multi-national) technical services company, such as a data center services provider, telecommunications and/or internet services provider or another similar technical organisation.
• Advanced subject matter and services product expertise within sales and operations.
• Advanced experience in a Managed Services and/or Outsourcing environment.

Responsibilities for Data entry assistant

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

Qualifications for Data entry Assistant

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

As a Senior Manager, Technical Solutions, you will be responsible for developing and managing technical solutions in Data Centre Engineering projects from inception to completion, developing pre-sales solutions by coordinating closely with the Commercial team and/or wider KDCH teams, and working with various investment stakeholders to assess feasibility of Pre-deals. You will work with both internal and external stakeholders to ensure that the job responsibilities are completed with a viable technical and budget proposals within time limits. You will coordinate with the Project Management team and provide Project Management inputs and considerations across your job responsibilities. You may be expected to travel for work to support your projects and customers when required.

• To be familiar with the design and construction of Data Centres, and working with knowledge of all technical disciplines, typical customer requirements and standard Basis of Design
• As the Mechanical Specialist of DC&N Technical Solutions team, to be responsible for constant review and update to the Basis of Design
• Execute the technical qualification, planning and development of technical solution for prospective deals as the Technical Solutions Head of Department shall direct. Manage and generate technical solution, project cost and planning structure for prospective deal engagements and investment approval
• Provide project scheduling and construction process assessment for all technical solutions, pre-projects, pre-deals and pre-sales solution, and perform necessary organization and handover documentations to the Project team for delivery, and provide necessary support and follow up where required
• Coordinate and obtain inputs from Technical Solutions, Project Management, Operations, Consultants, Contractors and vendors etc. to develop a viable Technical Solutions, Pre-Sales Solutions or Pre-Deal responses to various relevant stakeholders
• Work with Asset Owners, Sales and Commercial, Asset Management, and Investments Teams to determine the Project budget proposal with adjustments to the Overall Project Budget and Investments Returns, while ensuring coordination with the Project Construction Costs and Design
• Obtain proposals, select, and appoint consultants to develop design and cost estimate. Thereafter, manage selected consultant team for awarded scope of works
• Engagement with Statutory Authorities and Safety Matters
• Support project team to execute projects’ quotation and/or tendering process for the various packages such as project consultancy, contractors, nominated sub-contractors, vendors, suppliers, etc in accordance with the inputs provided during the various technical solutions, pre-sales and pre-deal phases of work
• Organize and conduct regular separate and/or combined meetings with Clients, Asset Owners, appointed consultant, contractors, vendors, etc to address all technical related matters during pre-project and during engineering project execution
• Technical Solutions management and track progress of solutions development and project cost against the approved schedule during pre-project investment approval and design phases
• Technical solutions report including solution development and its corresponding risks and mitigation, compliance to the Customer and/or industry standards, project cost estimation and its corresponding validation and risks, etc. for investment approval
• Technical solutions and Pre-Sales support to project team during project execution
• Work closely with Client, Asset Owner and Operation team on any technical issues arising from pre-project stage, project execution stage and support the project team for timely handover to Client, Asset Owner and Operation team respectively
• Any other scopes as directed by the Technical Solutions Head of Department

Job Requirements

• Master’s or Bachelor’s degree in Mechanical Engineering or equivalent
• Minimum 10 years of professional experience in Data Centre or equivalent design and construction work etc
• Good knowledge of variable design standards, including BICSI, TIA, Uptime Institute Tier Standard, etc
• Ability carry out technical solution discussions effectively with multi-function teams
• Good problem-solving, communication and interpersonal skills with high resilience and drive in achieving objectives and goals. High desire for innovation and learning
• Excellent verbal and written communications skills in English
• Relevant experience in a multi-cultural work environment fostering a climate of teamwork and collaboration

We are seeking an experienced and skilled Procurement Manager to join our dynamic team. In this role, you will be responsible for sourcing required materials, services and suppliers in both domestic and international markets. You will play a critical role in managing procurement activities, ensuring cost efficiency, and maintaining compliance with procurement policies and procedures.

Job Responsibilities

• Source for required materials, services, and suppliers in the domestic and international market.
• Understand purchase requirements and source accurately and efficiently.
• Identify and engage with global prospective suppliers to foster beneficial relationships.
• Understand market trends and seek to improve cost efficiency.
• Perform daily procurement activities such as RFQ/RFP, negotiation of commercial terms, quotations evaluations and recommendations.
• Coordinate procurement related matters with requestors and vendors.
• Prepare and conduct tender process.
• Propose new vendors and evaluate existing vendors.
• Contracts management.
• Working with legal counsel to review and prepare contractual documents.
• Address procurement related queries from internal management and stakeholders.
• Develop and implement procedures and processes, based on best practices, to ensure smooth and streamlined process.
• Ensure compliance with procurement policies and procedures.
• Other duties and responsibilities as may be reasonably requested by your immediate supervisor / the head of department from time to time.

Job Requirements

• Degree in Supply Chain Management, Procurement, Quantity Surveying, Business, Engineering, or a related field.
• A minimum of 7 years of relevant experience, preferably in a Procurement Department within the Construction, Data Centre, or Network industry.
• Strong knowledge of SAP MM (Materials Management).
• Exceptional interpersonal and communication skills.
• A proactive team player who can work collaboratively to achieve organizational goals.
• Capable of working independently with strong negotiation skills.
• Detail-oriented, analytical, and possesses excellent problem-solving abilities. Excellent team member, proactive in managing issues and possess sense of responsibility and ownership in his/her work and results.

• 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.

KHC Holdings offer a diverse array of insurance products ranging from motor insurance, travel insurance, home insurance, fire insurance, workmen compensation and various other personal and commercial insurance.

General day to day office admin work.

Experience with office management tools (MS Office software, in particular).

Maintain filing system as set by management.

Excellent organizational and time-management skills.

Strong written and oral communication skills.

Problem-solving attitude with an eye for detail.

Pleasant personality with good work ethics.

Additional Responsibilities:

• Strong work ethic and a positive attitude
• Demonstrate excellent communication and interpersonal skills
• Ability to learn quickly and adapt to new information
• Independent working skills and team work skills

Qualifications & Experience:

• Minimum qualification O level and above
• Good communication skills
• At least 1 year working experience