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 & Requirements

Responsibilities:

1. Responsible for maintaining our machine learning framework
2. Responsible for the cleaning, processing and analysis of both unstructured and structured texts in the FinTech area
3. Participate in the development and upgrade of our machine learning and data mining algorithms

Requirements:

1. Degree in Computer Science or similar field
2. 1+ years experience in data processing, data analytics or data visualization
3. Proficient in Python programming language
4. Familiar with data analytics libraries like NumPy and Pandas
5. Experience with relational databases (e.g. MySQL) and key-value databases (e.g. Redis)
6. Experience in RESTFul API service development and familiarity with HTTP / TCP
7. Familiarity with Container techniques including Docker and Kubernetes is preferred
8. Strong communication skills in Chinese and English to communicate with associates

We are seeking a dynamic Brand Ambassador to join our team and help us create an exceptional brand experience for our customers. As a Brand Ambassador, you will be the face of our company, embodying our values and promoting our brand identity to a wide audience.

What is in it for YOU:
✔️ Overseas traveling exposure trips
✔️ Leadership skills development
✔️ Personal development workshops
✔️ 1-1 coaching

✔️ Get out of comfort zone

✔️ Uncapped Earnings

What your day to day looks like:
✔️ Drive customer acquisition through face-to-face interaction
✔️ Market our client product and services through business development
✔️ Manage and lead a events and marketing team

Whatsapp JS @8654 6768 to find out more & secure a spot!

• Location: Kallang Sector
• Coantract until Jun 2026

• Perform daily operational duties for Manual and Remote reading related activities via the various meter reading and billing systems
• Following up with relevant parties to resolve daily operational issues
• Perform User acceptance testing for meter reading and billing system changes and upgrade activities
• Attend to enquiries via Case Activities, telephone and emails
• Any other ad-hoc duties as assigned by supervisor

Interested applicants may email resume to [email protected]

Cheryl Lee Shi Le (CEI Registration No: R1434624)

Recruit Express Pte Ltd (EA: 99C4599)

Responsibilities

• Ensure timely and accurate delivery of all key business reports and dashboards.
• Collaborate with various business departments to understand analytical needs and translate them into data requirements, establishing clear metrics and definitions.
• Coordinate with the analytics team to optimize data flow and automate multiple data sources.
• Conduct daily interactions with dashboards, CRM, and databases to track performance and investigate data related to specific business needs.
• Generate value for APAC by transforming data insights into actionable marketing, sales, and business strategies.
• Partner with local and global analytics teams to drive digital transformation, training, and solution adoption.
• Collaborate with management to prioritize insights generation through data mining and analysis.
• Lead ad hoc projects aimed at optimizing processes and enhancing database quality.

Requirements

• Bachelor’s degree or higher in Data Science, Business Analytics, Statistics, Computer Science, Mathematics, or Information Management.
• 1-2 years relevant working experience
• Strong analytical skills, capable of using data analytics to drive business insights and execution
• Experience in solving the business problems by analytical method (modelling, visualization, graph analysis)
• Experience with data visualization tools (Power BI, Tableau, or similar BI reporting platform)
• Knowledge of Salesforce, CRM, Python would be advantageous
• Excellent knowledge of Microsoft Office suite, especially in PowerPoint & Excel
• Strong communication skill
• Team player with strong interpersonal skills and ability to collaborate with multiple stakeholders
• Must be comfortable in a fast-paced, dynamic, and rapidly changing environment while working under pressure and tight date-lines
• Experience in Digital Marketing (Marketo, Google, Facebook, etc.) is a plus

All qualified applicants, please send in your resume to:

[email protected]

Tricia Celestine Goh (R1981653)

Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C4599

Job Description

• Industry/ Organization Type: Telecommunication Services
• Position Title: Facilities Technician (Data Center)
• Working Location: New Tech Park & Techlink
• Working Hours: Rotating 8-hour shifts
• Salary Package: Basic Salary + Shift Allowance ($300) + Variable Bonus + Medical & Flexi Benefits
• Duration: Permanent

Key Responsibilities

• Maintain and service building facilities, including electrical and mechanical systems.
• Perform minor repairs and improvements to buildings and equipment.
• Conduct routine preventive maintenance on building systems and infrastructure.
• Manage and oversee contractors and vendors to ensure cost-effective, quality repairs and maintenance.
• Provide engineering support during weekends, public holidays, or extended hours when necessary.
• To standby 24 hours on duty roster (will provide additional standby allowance).

APPLY NOW!!!

• Minimum ITE Certificate/Diploma in Mechanical/ Electrical Engineering, Facilities Management or related fields.
• With hands-on skill set in mechanical (ACMV) and electrical systems, with proficiency in maintenance, troubleshooting, and repair.
• Prior work in critical environments like Data Centres, Cleanrooms, or Semiconductor plants is an added advantage.
• Effective communication skills and ability to work as part of a team.
• Competent in using Microsoft Excel and Word.
• Good understanding of facility M&E (Mechanical & Electrical) systems.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #64875 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Contract: 1 year

Location: Redhill

Responsibilities

• Collecting and analysing data
• Developing surveys and conducting interviews
• Presenting findings and writing reports
• Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements

• Degree
• Good analytical skills
• Proficiency in Excel and SPSS, is preferred
• Experience with data analysis and/or conducting qualitative analysis will be advantageous

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://go.persolkelly.com/job/apply/9917

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

Work hours: Monday - Friday, office hours

Location: Redhill, Kay Siang

Contract period: 1 year contract

Salary: $2,980

Job scope:

• To support research and evaluation projects on offender rehabilitation by:
• Collecting and analyzing data
• Developing surveys and conducting interviews
• Presenting findings and writing reports
• Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements:

• Degree
• Good analytical skills
• Proficiency in Excel and SPSS, is preferred
• Experience with data analysis and/or conducting qualitative analysis will be advantageous
• Only Singaporeans

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

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

https://go.persolkelly.com/job/apply/9917

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg. R22108817 Lin JingYuan

EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are seeking a highly skilled and experienced ETL Integration Lead to join our dynamic team. The ideal candidate will have a strong background in data governance, ETL engineering, PySpark, and Alation. As an ETL Integration Lead, you will be responsible for leading the design, development, and implementation of ETL processes and data integration solutions to support our data analytics and business intelligence initiatives.

Key Responsibilities:

• Lead the design, development, and implementation of ETL processes to extract, transform, and load data from various sources into data warehouses and data lakes.
• Ensure data quality, integrity, and consistency through robust data governance practices.
• Collaborate with data architects, data scientists, and business stakeholders to understand data requirements and deliver effective data integration solutions.
• Develop and maintain ETL pipelines using PySpark and other relevant technologies.
• Utilize Alation for data cataloging, metadata management, and data lineage tracking.
• Monitor and optimize ETL processes for performance, scalability, and reliability.
• Troubleshoot and resolve data integration issues in a timely manner.
• Mentor and guide junior ETL engineers and provide technical leadership to the team.
• Stay up-to-date with the latest trends and best practices in ETL engineering, data governance, and data integration technologies.

Key Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree preferred.
• Proven experience as an ETL Integration Lead or similar role.
• Strong expertise in ETL engineering and data integration techniques.
• Proficiency in PySpark and experience with other ETL tools and frameworks.
• In-depth knowledge of data governance principles and best practices.
• Experience with Alation or similar data cataloging and metadata management tools.
• Strong SQL skills and experience with relational databases and data warehousing solutions.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Preferred Qualifications:

• Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud.
• Certification in data governance, ETL engineering, or related areas.

Roles And Responsibilities:

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.

• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.

• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.

• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.

• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.

• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.

• Minimum 10 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.

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

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with data modeling and schema design.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.

Preferred Skills:

• Experience with big data technologies like Apache Spark and Hadoop on Databricks.

• Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

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

• Knowledge of containerization and orchestration tools like Docker and Kubernetes.

• Understanding of DevOps principles for managing and deploying data pipelines.

• Experience with version control systems (e.g., Git) and CI/CD pipelines

Responsibilities:

• Oversee mission-critical data center operations, ensuring reliability and seamless service delivery within a healthcare-focused environment.
• Manage infrastructure performance, monitor network and server operations, and address data center incidents promptly to meet strict healthcare SLAs.
• Coordinate closely with healthcare clients, acting as the primary point of contact for infrastructure support and escalation management.
• Lead a team of network, server, and on-site engineers, focusing on optimizing operational efficiency and maintaining service continuity.
• Develop, maintain, and enforce Standard Operating Procedures (SOPs), ensuring compliance with healthcare-specific data security and safety protocols.
• Oversee vendor management and collaborate with IT and infrastructure teams to resolve any technical or service-related issues.
• Conduct regular incident reporting, trend analysis, and preventive measures to pre-emptively mitigate risks and support high service standards.
• Manage backup and recovery operations, leveraging tools such as Veritas NetBackup and Symantec to ensure data integrity and continuity.

Requirements:

• Bachelor’s degree in Computer Science, IT, Engineering, or a related field.
• At least 8 years of experience in data center or critical infrastructure management, with specific experience in a healthcare setting.
• ITIL Foundation Certification is mandatory.
• In-depth knowledge of healthcare industry requirements and data security standards.
• Proficiency in monitoring tools (e.g., SolarWinds, Tivoli) and backup solutions (e.g., Veritas NetBackup).
• Proven leadership skills with experience in managing SLAs, resolving escalations, and maintaining client relationships in high-stakes environments.
• Excellent problem-solving abilities, with a proactive approach to ensuring operational stability and reliability.

❗️Our company is expanding and we want YOU ❗️

We are a bunch of dynamic individuals who works towards being the Leader in the Sales & Marketing Industry. We work closely with MNCs in the market Locally and Overseas. We believe that our People are our Greatest Asset. Here, we focus on developing each and every individual from personal to business skills and we do our best to see everyone coming in & out with Happiness.

Our organisation has grown over the years and we want to find like-minded and fun individuals to grow together with us!

Every person in our company has a superpower, we believe that by identifying the superpowers of our people, we will not only discover hidden talent but inspire everyone to bring their personal best! When people unleash their superpowers, they know that what they bring to the team is irreplaceable. What you do matters, and everyone has something special to contribute.

You are not just a worker waiting to end work, but a hero who can save our day!

Responsibilities:

- Meeting or exceeding clients' sales goals

- Increase customer leads, and pitch prospective customers through different marketing channels

- Contact between our clients' and its existing and potential markets

- Provide on-the-ground support for sales team as they generate sales revenue

- Leading a sales and marketing team

Who are we looking for:

- People-oriented

- Keen learner

- Enjoy meeting people

- Positive & determined

- Resilience & adaptable

Rewards:

- Structured advancement opportunity

- Vibrant and supportive environment

- Coaching provided (no experience required)

- Travelling opportunities (Regional and International)

*We regret that only selected candidates will be notified.

Responsibilities: Lead the patch management process, including the timely deployment of patches and its relevant updates to ensure the security, stability, and performance of Business services. Responsible for the coordination of all Systems Engineering patching activities for customer server operating systems in accordance with agreed upon schedules with the customer(s). Prepare the patch deployment calendar and publish to all stakeholders. Supervise the day-to-day operations of IT Patch Management team providing some guidance in the related area, encouraging teamwork. Supervise the activities and work of subordinates to ensure that all work within a specific area is carried out in an efficient manner and in compliance. Oversee the execution of patches & updates deployments, closely monitoring progress, and addressing any issues or roadblocks that may arise. Ensure that deployments are conducted according to the defined plans, with minimal disruptions to end-users or services performance and availability Collaborate with various stakeholders, including IT teams, Information security teams, vendors, and business units, to gather requirements, communicate patches schedules, and address concerns. Effective communication and coordination are critical to ensure smooth patches operations and minimize the risk of system vulnerabilities Collaborate with incident management teams to address security incidents related to vulnerabilities or unpatched systems. Develop incident response plans and participate in incident investigations and remediation efforts Run monthly/quarterly compliance reports and identify required patches. Participate in monthly patch review and schedule meetings to review patch calendar. Prioritize and schedule mutually agreed system patching and maintenance. Preventive/Proactive Support Able to support on weekend as and when required.Required Technical and Professional Expertise (Mid to Expert Level) A Bachelor s degree or equivalent in Information Systems or related field Having 8+ years of related experience. Knowledge of Infrastructure Patching tools like SSCM, Bladelogic, Bigfix., etc. Knowledge of using Jira. Good understanding of large Data Center Facilities operation Experience in Managing 10+ member team. Strong understanding of server operating systems and patching process. Managed Services or consulting experience is a plus. Excellent understanding of the organization s goals and objectives. Ability to conduct research into systems issues and products as required. Highly self-motivated and directed. Able to prioritize and execute tasks in a high-pressure environment. Strong customer service orientation.

Ability to lead team, collaborative environment.

(1.) To adhere to quality standards, regulatory requirements and company policies

(2.) To ensure positive customer experience and CSAT through First Call Resolution and minimum rejected resolutions or Reopen Cases

(3.) To participate or contribute on EN business in creation of proposals to drive Service improvement plans.

(4.) To independently resolve tickets and esnure that the agreed SLA of ticket volume and time are met for the team.

(5.) To provide support for on call escalations orL3 level support and doing incident and problem management (6.) Work on value adding activities such Knowledge base update and management, Training freshers, coaching analysts and conducting interviewsorparticipation in hiring drives.

Company Overview:

Traveloka is a leading technology company that provides a one-stop travel and lifestyle platform for customers in Southeast Asia. Our platform offers a wide range of travel-related services, including flight and hotel bookings, activities, attractions, and more. With a mission to empower travelers with seamless experiences, we're committed to pushing the boundaries of technology and innovation in the travel industry.

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description

Our data science team is responsible for solving complex problems and optimizing various aspects of Traveloka’s business. You will get a wide range of exciting opportunities to bring impact by helping to make decisions at scale across our various business lines, and get to work with the brightest minds in the industry. Join us in revolutionizing the travel industry through data!

Key Responsibilities:

• Collaborate with multiple marketing domains to understand their challenges and goals in optimizing marketing spend to get maximum return
• Translate business problem to data science problem or ML problem
• Develop, implement, and maintain data-driven solutions and systems
• Oversee and manage multiple data science projects, ensuring they meet objectives and are delivered on time

Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, or related fields. Master's degree or higher preferred
• 5 or more years of experience in data science or related roles
• Excellent understanding of business operations and the ability to translate business requirements into technical specifications.
• Experience/familiarity with some of the following:
  Experimentation
  Marketing Measurement
• Strong expertise in Python and experience with ML/Stats libraries (scikit-learn, LightGBM, CatBoost, etc) and OR libraries (OR-Tools, etc).
• Proficient in data manipulation and analysis using SQL.
• Experience with cloud-based tech stack and containerization. GCP will be preferred.
• Proven experience in managing data projects from inception to completion.
• Exceptional interpersonal and communication skills, including the ability to describe complex technical concepts to non-technical stakeholders.
• Proactive, self-motivated, and able to work independently.
• Experience in implementing MMM, MTA, Propensity Models, CLV etc are plus
• Candidates with knowledge on digital marketing channels like SEM and GHA will be given higher preference

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Job: Operator ( Data Centre)
Duration: 24 months
Location: Central Singapore
Working hours: Rotational Shifts

The candidate will play a key role in automating production operations, ensuring seamless integration with the daily monitoring operations of the Agency’s IT systems.

Responsibilities:

• Continuous Service Improvement: Add value to Data Centre Operations by identifying improvement opportunities to sharpen Production stability, stakeholders experience and overall service quality.
• Identifying opportunities for automation within production processes to streamline operations and reduce manual intervention.
• Timely escalation and communication of major incidents such as escalation matrix, leading, driving, facilitating, and chairing all investigation activities.
• Being accountable for resolving the incident with workaround or permanent solution.
• Participate in troubleshooting system and network connectivity problems before escalation.
• Monitoring production metrics and performance indicators to ensure targets are met.
• Ensuring compliance with safety and regulatory standards in production.
• Other ad-hoc duties as instructed.

Requirements:

• At least 5 years IT experience as Level 1 Production Operations engineer.
• Strong analytical skills: The ability to analyse production processes and identify areas for improvement and optimisation.
• Technical Proficiency: Profound knowledge of production systems issues and effective solutions to enhance operation efficiency.
• Problem-Solving Aptitude: A knack for troubleshooting production issues and devising effective solutions to enhance operational efficiency.
• Experience in Data Centre facilities, including temperature and humidity monitoring system, smoke detection and fire suppression systems, Uninterrupted Power Supply (UPS) units, CCTC, keypress units, etc.
• Familiarity with AWS tools such as CloudWatch, Cloud Trail, etc would be an advantage.
• Able to work shift duties.

The shift hours are as follow:

▪ 1st shift - 7:00 am to 3:00 pm
▪ 2nd shift - 2:45 pm to 10:30 pm
▪ 3rd shift - 10:15 pm to 07:15 am

The 8-day rotational shift pattern is as below:

▪ Two days 1st shift, followed by
▪ Two days 2nd shift, followed by
▪ Two days 3rd shift, followed by
▪ Two off days

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

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.

Zenith Infotech (S) is a Tech Recruitment firm with 27 years of experience in Singapore, supporrting clients in terms of ICT Consultant placments.

Currently we are looking out for a Data Analyst with 3 years of experience, best working in Contact Center enviornment before or presently.

Responsibilities :

• Extract and clean the data from various data sources to generate daily, weekly and monthly reports.

• Writing SQL queries to retrieve information quickly.

• Fulfil ad-hoc data request from client and management.

• Work / Collaborate with Developer(s) to automate reports

• Liaise with client on data related queries

• Analyze contact center performance metrics, including call volume, response times, and customer satisfaction scores.

• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).

• Identify trends and patterns in data to inform operational improvements and strategy.

• Collaborate with management and other departments to develop actionable insights and recommendations.

• Support the implementation of process improvements based on data findings.

• Ensure data integrity and accuracy.

• Assist in forecasting demand and capacity planning based on historical data trends.

• Stay updated on industry best practices and emerging technologies in data analysis.

• Perform other duties and responsibilities that may be assigned to you by the management within your category of employment.

Qualifications and Skills:

• Minimum Bachelors in Business, Computer Science, Mathematics, Data Analytics, or a related field.

• At least 1 to 3 years of experience building reports using Excel, SQL AWS Quick sight or any other business intelligence and data analytics tools.

• Proficiency in data analysis tools (e.g., Excel, SQL, Python) and data visualization software (e.g., Tableau, Power BI).

• Proven experience in data analysis, preferably in a contact center environment.

• Strong communication and presentation skills

• Proactive and able to work independently with minimum supervision.

• Excellent time management with strong critical thinking and ability to handle pressure.

• Detail-oriented with a strong focus on accuracy and data integrity.

• Familiarity with statistical analysis and modeling.

WHO WE ARE:

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

YOUR ROLE:

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other PALO IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

YOUR RESPONSIBILITIES:

• Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.
• Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.
• Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.
• Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.
• Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.
• Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.
• Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.
• Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.
• Support the definition and optimization of underlying data infrastructure

WHO YOU ARE:

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
• Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
• Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
• Experience with batch & ETL jobs to ingest and process data from multiple data sources
• Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
• Experience with querying tools (e.g Hive, Spark SQL, Impala)
• Experience with Power BI
• Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
• Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)
• High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)
• You are passionate about technology and continuous learning comes naturally to you

We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa.

MORE ABOUT PALO IT:

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company
• Attain 50% of revenue from projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all our offices across the globe
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training

For more on our team culture and benefits, check out our careers page.

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG 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 Palo-IT.

Your personal data will be processed for the purposes of managing Palo-IT’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 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.

The Data & Machine Learning Engineer plays a hybrid role that focuses on developing a modern Lakehouse platform, building data pipelines, and deploying machine learning models at scale. This position blends the responsibilities of a Data Engineer and Machine Learning Engineer to ensure robust data infrastructure and effective deployment of ML models. The ideal candidate will collaborate with cross-functional teams, working closely with Data Analysts, Business Analysts, and DevOps engineers to deliver reliable, scalable, and efficient data and ML solutions.

Key Responsibilities:

• Build, automate, and optimize ETL/ELT pipelines to ensure smooth data flow and availability across the Lakehouse platform.
• Partner with analysts to design scalable data storage solutions optimized for analytics and ML applications.
• Ensure data quality by implementing monitoring mechanisms to guarantee consistency, reliability, and compliance.
• Continuously monitor ML models, retrain and adjust them as necessary to maintain high performance.
• Design and implement CI/CD pipelines for seamless model deployment and ensure reliable delivery of models into production environments.
• Provide guidance and mentorship to junior engineers, supporting their growth and enhancing project delivery capabilities.

Skills & Experience:

• Strong teamwork skills, able to align data solutions with business needs, and communicate effectively across technical and non-technical teams.
• Expertise in analyzing data-driven insights and translating them into technical solutions.
• Proficient in designing and implementing data pipelines using Databricks and Spark.
• Advanced skills in SQL and Python for querying, modeling, and transforming data efficiently.
• Expertise in deploying machine learning models and creating APIs for serving predictions.
• Skilled in processing large-scale datasets and supporting machine learning workflows on Databricks.
• Experience in building CI/CD pipelines for automated deployment, testing, and validation of data pipelines and ML models using GitHub and GitHub Actions.
• Proven ability to monitor ML model performance, track key metrics, and maintain accuracy.
• Experience with automating cloud infrastructure using tools like Terraform for consistent deployment and scaling.
• Basic knowledge of Power BI for visualizing model performance and metrics.

Qualifications Required:

• 5+ Years in Data Engineering: Solid experience building and maintaining data infrastructure, including best practices in data pipeline development.
• 3+ Years in Machine Learning Engineering: Demonstrated experience managing the lifecycle of ML models from deployment to monitoring and retraining.
• Business & Data Transformation: Proven track record in supporting business transformation and process improvements by leveraging data-driven solutions.
• Agile Methodologies: Comfortable working in Agile environments with the ability to adapt and respond quickly in fast-paced settings.

To apply, simply click the "Apply" button or send your updated profile to [email protected]

EA Licence No.:18S9405 / EA Reg. No.:R1330864

Percept Solutions is expanding and actively seeking talented individuals. We encourage applicants to follow Percept Solutions on LinkedIn at https://www.linkedin.com/company/percept-solutions/to stay informed about new opportunities and events.

The Opportunity

The Principal Data Engineer position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises over 60 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team! As the Principal Data Engineer in our Singapore office, you will have the unique opportunity to help us build a data engineering team while being supported by our existing data engineering talent in Shanghai and Moerdijk. This role offers excellent career progression as you will take a leadership role in establishing and growing a local team in Singapore.

Job Responsibilities:

• Assist the Sr. Manager of Data Management & Operations in shaping both short- and long-term data strategy at a global level.
• Take ownership of our Azure ETL pipeline and data warehouse (ADF/DBT/Apache Airflow/AKS) from design to implementation to maintenance
• Assist in the maintenance of an existing on-prem data infrastructure (SSIS/SQL Server) while we complete our migration to the cloud
• Design, architect, and lead the implementation of ETL/ELT pipelines, data schemas/models, and data marts for business users.
• Ensure the reliability and availability of core data infrastructure with proper monitoring and alerting systems to guarantee continuous data delivery to the business.
• Take ownership of data quality and governance. Collaborate with business and IT teams to establish and meet data standards, including developing automated data checks and data quality monitoring dashboards.
• Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation.
• Stay updated with current industry best practices and trends, and evaluate technical decisions at a business level.
• Provide leadership, guidance, and oversight to data engineers.

Requirements:
• Bachelor's or Master's degree in Computer Science or a related engineering field from a technical university.
• 8+ years of experience in data engineering, with 3+ years of experience as a senior/lead data engineer
• 3+ year of experience with Agile/DevOps tools (Git, Jira).
• 2+ years of experience with Azure data infrastructure (e.g. ADF, DBT, AKS, IaC).
• Deeply knowledgeable of data warehousing best practices, especially in the Azure cloud environment, with a strong commitment to staying current with industry trends and future advancements.
• Thoroughly familiar with the relevant trade-offs within different data modelling schemas (e.g. 3NF, star, snowflake, data vault) and storage architectures (e.g. data warehouse, data lake, data lakehouse)
• Previous leadership experience as a senior engineer or project lead, with the ability to hire and lead a small team of 1-4 junior/senior data engineers.
• Highly motivated, with a proactive approach to project ownership and accountability for outcomes and timelines. Committed to continuous personal growth and development within the organization.
• Fluency in both written and spoken English and Mandarin is highly desirable to effectively liaise with Chinese-speaking clients and counterparts, understanding their technical requirements.

Desirable skills
• Proven experience with cloud infrastructure at a global scale, with knowledge of navigating global data regulations at a technical level.
• Experience with master data management using modern MDM tools, ideally at a global scale and/or in a cloud environment.
• Background in the shipping/maritime or chemicals industry.
• Previous managerial experience as a manager.
• Experience with PowerBI and Plotly.

1) Checking and audting of submitted documents

2) Folllowing up for outstanding documents

3) Preparation and final submission.

4) Monitoring Payment

5) Prcessing Payment

6) Disbursement of Fees

7) Attending to clients' queries

About This Opportunity

As a customer data scientist you will help customers be successful in their AI Journey. You will aid them in leveraging AI in the organization for different use-cases, building successful models and deploying them in production environments, bringing GenAI capabilities in the AI journey of the customers, and ensuring that they get business impact and value.What You Will Do

• Deliver data science and/or machine learning professional services to our customers.
• Support customers by helping build custom data models, transformation, scorers/optimization loss functions/metrics that can be leveraged with H2O Driverless AI and help improve training performance for the customer use cases/domains.
• Demonstrate different use cases and data science capabilities by building end to end AI Applications using H2O products and solutions.
• Design and run training sessions for our customers in data science concepts as well as using H2O products. Training will need to be able to be delivered to audiences with varying data science skills and abilities.
• Help customers understand the nuances of data science, expert settings of H2O Driverless AI and H2O open source, and the strategies of experiment tuning that you would use to incrementally improve model performance. This also includes explaining model performance, model interpretability, and post deployment model monitoring concepts so as to ensure the business is making the right decisions on the model predictions.
• Translate business cases and requirements into value based technical solutions through the architecture of machine learning workflows and systems from data ingestion to model deployment.
• Participate in the development of ML solutions and AI applications for internal use, contributing to the advancement of our technology stack.
• Build and deploy machine learning models and AI applications to address customer-specific challenges.
• Work closely with cross-functional teams to gather, preprocess, and analyze data to develop data-driven solutions.

What You Bring

• Proven experience in data science, machine learning, and AI with a minimum of 2 years of hands-on experience.
• Experience in customer facing while dealing with different teams – technical, business, domain people.
• Experience in delivering technical sessions with different customer teams
• Interest in Generative AI and Large Language Models (Prompt Engineering, Retrieval Augmented Generation, LLMOps, Making custom LLM models, fine tuning etc, Guardrails)
• Proficiency in programming languages such as Python.
• Experience with solving machine learning problems using H2O ML products (plus), Python, R
• Knowledge and experience using a variety of machine learning techniques (supervised/unsupervised, clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning techniques.
• Experience visualizing and presenting (EDA) to stakeholders using H2O Wave (plus), or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBi.
• In depth understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

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

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

RESPONSIBILITIES

As a Senior Frontend (Full Stack) Engineer, you will be responsible for designing, developing, and maintaining our data product suite. You will work closely with cross-functional teams including data scientists, data engineers, and UX/UI developers to create scalable, robust, and user-friendly applications. Your expertise in both front-end and back-end development will be crucial in implementing innovative features and ensuring seamless integration between different components of our data products. This role requires strong problemsolving skills, a deep understanding of data processing and visualization techniques, and a passion for delivering high-quality software solutions.

Responsibilities

• Collaborate with product owner, data scientists, data engineers and designers to understand product requirements and translate them into technical specifications.
• Design and develop full-stack solutions, including user interfaces, APIs, data processing and storage.
• Implement data visualization components using modern front-end frameworks and libraries.
• Develop scalable and efficient back-end services to handle data from multiple data source with complex business logic.
• Optimize application performance and ensure high availability and reliability.
• Conduct code reviews, ensure seamless deployment and testing of the data products and provide constructive feedback.
• Stay updated with the latest industry trends and best practices in full-stack development, data engineering, and data visualization.
• Troubleshoot and resolve issues reported by users, ensuring a smooth user experience.
• Continuously improve software development processes and contribute to the overall technical excellence of the team

• Bachelor's or master's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of professional experience as a Full Stack Engineer, with a focus on datadriven applications.
• Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (e.g., React is preferred as we use React in our team).
• Expertise in server-side programming languages such as Node.js, Python or Java.
• In-depth knowledge of databases and SQL, with experience in designing and optimizing data models.
• Familiarity with data processing frameworks (e.g., Apache Spark) and big data technologies (e.g., Kafka) is a plus.
• Solid understanding of RESTful APIs and microservices architecture.
• Experience with cloud platforms (e.g., Azure, AWS) and containerization technologies (e.g., Docker, Kubernetes).
• Proficiency in version control systems (e.g., Git)
• Excellent problem-solving skills and the ability to debug complex issues in a distributed system.
• Strong communication skills and the ability to work effectively in a collaborative team environment.
• Prior experience working on data products or analytics platforms is highly desirable.

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.