We are looking for Data Specialist to be part of Regional Analytics Team supporting AP Analytics activities. In this role, you will be working with various stakeholders utilizing both internal and external data points to generate good and useful data sources that the Analytics Team can work on to provide Business Decision Reports.

Responsibilities

• Support regional field and partner analytics through rigorous data management- facilitating business success by ensuring data availability and accuracy, driving data projects to design and generate crucial information for different business needs and stakeholders where required
• Manage existing data to create consistent structure and improved accuracy, working from multiple data sources to synthesize and generate key datasets for KPI tracking (sales, prices, contracts, etc.)
• Establish rules for data consistency among regions and projects, preparing and distributing reports with key business information, or customer level product usage and contract requirements
• Provide data management on key information related to sales, prices, contracts, special agreements, agreement programs (rebates, admin fees, pricing reviews), customer affiliation and customer grouping in CRM systems, ensuring data integrity and accuracy
• Support implementation and operation of foundational functional infrastructure such as data pipelines between internal data sources and internal or external data marts
• Plan and execute projects to enable new capability, implement data tools, and design data visualizations for effective communication
• Act as data product owner for one or more capabilities delivered by the team—which include 1) providing support, subject matter expertise, and point of contact for our analytics tools and data assets, 2) driving strong activation and adoption of analytics capabilities, and 3) maintaining operation of platforms
• Work with analytics team stakeholders to understand analytics needs and apply our capabilities to those needs
• Promote best practices for data analysis, management, and insights communication
• Participate on cross-functional teams (internal and external vendors) to facilitate an enhanced understanding of available data, analyses, and systems

Responsibilities

• Developing and delivering consumer lines’ pricing & claims strategy by launching price experiments, monitoring them and using optimization techniques (including predictive modeling) to set prices that maximize the value generated through customer acquisition and retention.
• Execute all aspects of analytics initiatives including exploratory data analysis, launching experiments, model development, model evaluation and benefit estimation:Developing queries to extract modelling data from our warehouses, creative data exploration and feature engineering.
  Building, enhancing and assembling machine learning and statistical models to predict losses and customer behavior to improve our pricing.
  Using and developing pricing algorithms to deliver new price optimizations and tests.
  
• Research, recommend, and implement statistical and other mathematical methodologies appropriate for the given model or analysis.
• Create excellent working relationships with business partners across the Chubb organization, IT and analytics peer groups.
• Have displayed strong preference to work with business users to make use of data to add value to the day-to-day business.
• Have a strong business sense especially when it comes to knowing how to translate technical concepts into language easily understood by lay audience + aptitude in building slide decks
• Know how to build rapport with business users to quickly build trust and gain buy-in

Required experience

• Undergrad in quantitative discipline (e.g. analytics, actuarial, mathematics, statistics, engineering, economics).
• 3+ years work experience in an analytical, modelling or data science role with programming experience in Python required.
• SQL and experience working with large or complex datasets.
• Extensive experience of multiple statistical methods, tools and language e.g Python, R, etc.
• Hands-on experience with building and developing GLMs and machine learning models.
• Experience with version control, automation tools and ML Ops based deployment.
• Be a fast learner to understand our business, its value drivers and the data it generates.
• Have a customer focus to both spot profit opportunities and do the right thing.
• Think creatively to master and combine machine learning and statistical approaches.
• Document your work, build pipelines to automate and teach others how to maintain it.

Desired Experience:

• Experience in insurance, or customer-facing industries (financial, competitive subscription-based industries like cell phone, ISP, cable) is preferred.
• Insurance industry/actuarial experience
• Experience with Spark and knowledge of advanced machine learning techniques and frameworks (e.g. H2O)

Job Description:

• Recognised degree in Computer Science, IT or engineering with at least 5 years’ relevant experience in software development;
• Gone through at least one full software development lifecycle (SDLC) with experience in producing SDLC documentations;
• Extensive experience in analysing requirements, designing, development and delivering complex enterprise applications on UNIX / LINUX and Windows environment;
• Strong Database and SQL knowledge for writing complex queries and performance tuning;
• Extensive experience in Data Engineering and BI tools like IBM DataStage, Informatica, Cognos Analytics, Power BI;
• Strong understanding of OLAP, ETL/ELT and BI design concepts and best practices;
• Exposure in Cloud Data platforms like Snowflake, Databricks, AWS Redshift will be an advantage.
• Experience in Automatic Fare Collection (AFC) system will be an advantage;
• Strong analytical and problem-solving skills; and

• Good written and verbal communication skills in English.

Must Have Skills

1. Programming languages: Python / Spark
2. Experience with Linux utilities & SQL.
3. Experience in using PySpark for data transformation.
4. Knowledge of AWS services such as Redshift, Glue, Cloudformation, EC2, S3, Lambda.

Good to Have Skills

1. ETL Tool Experience
2. AWS Exposure

Key Responsibilities

1. Responsible for the development of ETL pipeline in open source to carry out data ingestion
2. Write programs to extract data from data lake and curated data layer to meet business objectives
3. Collaborate with different teams to gather the understanding of the application to design the ETL pipeline
4. Gather business and functional requirements, and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture
5. Participate in the full development life cycle, end-to-end, from design, implementation, and testing, to documentation, delivery, support, and maintenance and produce comprehensive, usable dataset documentation and metadata

You will be part of a dynamic team to drive growth in designing, managing and developing a Regional Data Warehouse Platform with various local and remote teams to generate insights and reports of the OTT business. Reporting to Assistant Lead, Data Innovation, you will be involved in improving/maintaining the data platform, AI/ML innovation projects and creating insightful dashboards.

Key Responsibilities

• Build and support Google Cloud Platform CDP, AI/ML and Big Data Projects
• Explore / Reconcile data using various open-source tools and/or cloud tools to generate business insights
• Work on insightful dashboards for business and operations
• Work on PoC and AI/ML projects within the group and with 3rd parties
• Solve complex data problems to deliver insights that helps the organization’s business to achieve their goals
• Design, code and test data systems and work on implementing those into the internal infrastructure or cloud platform
• Build scalable data pipelines to extract, transform, load and integrate data
• Develop codes and scripts to process structured and unstructured date in real-time form a variety of data sources
• Test data pipelines for scalability and reliability to process high data volume, variety and velocity
• Consolidate and create storage solutions for storage and retrieval of information of regional data
• Gather data and generate business insight requirements by working with local Content, Marketing and Integrated Sales teams

Requirements

• Bachelor degree or Diploma in Computer Science or Computer Studies.
• 1 - 2 years' Data Analysis experience
• Experience in Go/Python programming as well as in AI/ML
• Has prior experience in Data modelling, API integrations, statistics, forecasting, DML, DDL, DQL, DCL or TCL
• Familiar with or willingness to learn Google Cloud and open to explore / PoC on other cloud platforms.
• Confidence in writing SQL or willingness to improve SQL skill
• Experience or willingness to learn modern software development lifecycle, CI/CD
• Open to learn new technologies to achieve best practices

Desired:

• Experience in creating ETL workflows, using Airflow or similar open source projects.
• Experience in real-time or near real-time data ingest at Google Cloud Platform or similar.
• Willingness to learn or working experience of one or more of the followings: Serverless Data Pipelines, Asynchronous Messaging Services, Cloud Object Storage, Cloud Scheduling Systems, Fully Managed Data Workflow Orchestration Services, Multi Cloud Data Warehouses, Serverless Workflow Orchestration and VPC Networks.
• Experience in AI/ML projects and/or research, such as BQML, Vertext AI and Auto ML.

Key Responsibilities:

• Ensure the accuracy and timely delivery of reports.
• Maintain data accuracy, security, and confidentiality in the database and library.
• Assist in data entry, analysis, and organization of relevant information.
• Support teams by generating clear and actionable insights through data interpretation.
• Create charts and visual reports to support presentations.
• Ensure proper documentation and maintenance of data processes.

Qualifications:

• Degree in administration, business, or equivalent
• Experience: preferably 1 year’s experience or more in data administration
• Proficiency in data entry, management
• Strong communication skills and excellent interpersonal and organizational skills.

Click apply if you enjoy the following,

• Interaction with people
• Fun and vibrant environment
• Work hard and play hard

Scope:

Recruitment

• Write and post advertisements (unleash your creativity)
• Brainstorming ideas to boost recruitment
• Screening and set-up appointments between candidates and HR manager
• Prepare starter kits
• Maintain the sales team's profile and details into system
• Participate in team bonding activities

Administration

• Tallying sales reports sent from HQ to ensure income is being paid accurately
• Key in sales reports
• Prepare director's reimbursements
• Housekeeping of office location
• Ad hoc duties required by the director

Requirements:

• Singaporeans only
• Pleasant and good learning attitude
• Proactive
• Meticulous and detail-oriented
• Approachable and friendly

Interested candidates who are keen to find out more about this opening, click apply now!

Job Description:

• Collaborate with other developers and engineers to design, build, and maintain applications.
• Develop end-to-end specifications for solution components.
• Perform testing and implementation of the solution.
• Troubleshoot software issues and participate in impact analysis of encountered issues.
• Generate relevant documentations, reports etc.
• Contribute to continuous improvement of software development best practices.
• Keeping up-to-date with industry trends and technology developments.

Job Requirements:

• Degree in Computing/ Computer Science/ Computer Engineering/ Info Systems / EEE or equivalent
• Entry level candidates with good learning attitude and relevant experience can be considered.
• Familiar to full-stack development and understand concepts of software engineering.
• Knowledge of Agile Development methodology.
• Knowledge of basic coding languages such as C++, Javascript, HTML5 and Java
• Basic programming experience.
• Knowledge of databases (SQL / NoSQL).
• Comfortable using AngularJS, NodeJS, ReactJS and other common frameworks to develop software for various platform.
• Ability to learn new software and technologies quickly.
• Ability to follow instructions and work in a team environment.
• Good team player with critical thinking, analytical and creative problem-solving skills.
• Detail-oriented.
• Candidates with more professional/complexity of experience can be considered for the senior role

(EA Reg No: 20C0312)

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

Only shortlisted candidates will be notified.

In this role as Data Architect Lead, you will be working alongside Data Engineers, stakeholders such as product managers, team leads, and senior management to empower the client technical data platform department of our client with actionable data and platform capabilities.

You will be integral in the design and implementation of reliable, performant and scale-able data platform and engineering solutions. In addition, you will lead a team that looks after the daily data platform operations and its efficiency.

What You’ll Need To Succeed

• At least 7 years of experience in Data Platform Architect or Data Engineering Lead related roles
• At least 5 years of experience in Microstrategy operations (Infrastructure / Business) - requiements gathering to customer reporting sessions
• Strong education background with degrees in Computer Science, Engineering or Information Systems (preferred)
• knowledge of visualization tools such as Tableau, Power BI or other platform
• Strong working and architecture knowledge of ETL and related tooling; Informatica, penthao and natively with AWS
• Working proficiency in SQL and familiarity with at least one of the programming language (e.g., Python, Scala)
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
• Strong working knowledge of AWS specific Data Engineering and Data Science solutions (Redshift, Glue, SageMaker)

Duration: 1 year

Location: Fusionpolis

Working Hours: Monday - Thursday 830am to 6pm; Friday 830am to 530pm

The Data Privacy and Protection Capability Center (DPPCC) is at the forefront of shaping the future of data privacy in the public sector. Our mission is to drive the adoption of cutting-edge Privacy-Enhancing Technologies (PETs) and unlock the power of data for the public good—while maintaining the highest standards of privacy and security.

As a Data Scientist at DPPCC, you will work at the intersection of data science, privacy engineering, and technology innovation. You’ll join a team of forward-thinking professionals focused on overcoming the real-world challenges of privacy and data protection in government, using advanced technologies like Artificial Intelligence (AI), Machine Learning (ML), and privacy-preserving computing to push the boundaries of what's possible.

Requirements:

• Recently completed a bachelor’s degree or diploma in Computer Science, Data Science or a relevant field of study
• Has sufficient foundation in AI/ML model development to be able to run experiments according to user needs
• Experience with quantitative analysis, including machine learning frameworks and tools (e.g., scikit-learn, TensorFlow, PyTorch)
• Proficiency in at least one programming languages, such as Python or R
• Experience with the cloud (e.g. AWS, GCP, Azure)
• We value candidates with T-shaped competencies.
• Adjacent expertise in related areas like software development (e.g., cloud infrastructure, frontend technologies, backend with REST APIs) is a big plus.
• Has an inclination to read and synthesize research work, even in a new domain.
• Curiosity, willingness to learn and explore new domains, especially in data privacy and protection. While experience with privacy-enhancing technologies is a plus, we are happy for you to learn on the job.
• Inclination to work in a collaborative environment
• Machine learning frameworks and tools (scikit-learn, TensorFlow, PyTorch as examples)
• Proficiency in at least one programming language (e.g., Python, R)
• Experience with cloud infrastructure (e.g., AWS, GCP, Azure)
• Optional but highly valued: Frontend technologies, backend with REST APIs

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.

Should you be interested in this position, please contact Mandy at 9640 2934 your resume directly for fast respond.

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. R23114622 So Man Xin

Responsibilities

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

---

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

---

About the team

The Live Platform Intelligence team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and creator engagement, which includes: Build models for automated and intelligent operations to improve the efficiency and effectiveness of TT Live supply end, as well as discover and handle inappropriate user behavior and business anomaly, to assure the steady and persistent running of TT Live business. Spearheading analytical excellence with a penchant for creative problem-solving, our team functions at the intersection of data science and live content, ensuring an engaging and personalized experience for our global community of creators and viewers.

---

Responsibilities

- Drive understanding of product usage and user behavior in the field of Live ecosystem.

- Establish and refine key product metrics, set scaled and attainable goals, forecast outcomes, and closely monitor trends to precisely gauge the success of our product initiatives.

- Collaborate proactively with Product Managers, Engineers, MLE and other cross-functional teams, providing data-backed perspectives that shape our product decisions, deliver insights and excute strategy.

- Design and measure experiments to verify hypotheses and opportunities in product growth, and consult on directions for improvement

Qualifications

Minimum Qualifications

- Bachelor's degree in Statistics, Mathematics, Data Science, or equivalent practical experience.

- A minimum of 3 years of work experience in analytics.

- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or data visualisation tools (e.g. Tableau).

- Excellent problem-solving and critical thinking skills.

---

Preferred Qualifications

- Preferably with experience working on products, user growth, or live streaming business.

---

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities

· Bachelor's Degree in Computer Science or equivalent;

· Minimum 5 years of experience in data engineering or software engineering.

· Possess a solid foundation in Computer Science concepts such as Cloud Computing Architecture, Distributed Computing, High-Velocity Data Processing, and Lambda Architecture;

· Proficient in Data modeling and managing Distributed Computing Platforms for efficient Data Processing;

Skills/Requirement

· Data Warehousing experience: 4 years minimum

· 3+ years working experience of Hadoop (Hortonworks) developer experience in Spark and

· Hive; especially Spark version 2

· Talend Big Data version 7+ Developer experience: having 3-5 years working experience

· deploying code to production

· 2+ years working experience in Talend Big Data version 7 on Hadoop

Job Title: Document Scanning and Data Entry Assistant

Working Hours/Days: Monday - Friday, 9:00 AM - 6:00 PM

Job Type: 6 - 12 Months Renewable Contract

Job Description:

• Scanning of documents
• Ensure accuracy and timely completion of scanning tasks
• Data entry and general administrative duties as required

Requirements:

• Minimum N-Level qualification
• Proficient in Microsoft Office Suite
• Willingness to travel and work at both Tampines and Raffles Place locations, depending on business needs
• Flexible with work location assignments
• Willing to work overtime (as frequently as 3-4 days per week)

What you will do :

• Designing and Implementing Data Solutions: Create robust data models, data warehouses, and data transformation workflows to support continuous system integration.
• System Integration Development: Enhance the integration of diverse business and manufacturing systems using technologies like ESBs (Enterprise Service Buses), message queues, and brokers.
• Building High-Performance Solutions: Develop solutions leveraging communication bus technologies to achieve high data throughput and reliability.
• Lead a Team: Guide a group of developers, encouraging innovation and secure software practices.
• Support Frontend Teams: Work closely with frontend developers using modern web technologies (MERN or MEAN).
• Enhancing Testing Processes: Contribute to building thorough automated testing systems, including unit tests, API tests, integration tests, and regression tests.

Who You will Bring:

• At least 7 years of experience in backend development with a focus on integrating business and manufacturing systems.
• Expertise in integrating information systems used in manufacturing and business, including ERP and Manufacturing Execution Systems.
• In-depth experience with data modeling, data architecture, data warehousing, data lakes, and data transformation.
• Proficiency in using communication bus technologies, such as ESBs, message queues, and brokers.
• Familiarity with technologies like B2MML, MQTT, Sparkplug B, and others.
• Experience with modern web stacks, preferably MERN or MEAN, and .NET development.
• Experience with continuous integration/continuous deployment pipelines and DevOps methodologies.
• Microservices and Containerization: Knowledge of microservices architecture and container technologies like Docker and Kubernetes.

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

The opportunity

EY 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 looking for a Junior Project Manager within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Key Responsibilities:

• Oversee the end-to-end implementation of a data warehouse or data lake on Singapore's Government Commercial Cloud, ensuring the project is delivered on time, within scope, and on budget.
• Develop and maintain a comprehensive project plan that encompasses all project activities, from initial conception through to deployment and post-implementation support.
• Lead a multidisciplinary project team, providing guidance and support to ensure that all team members are aligned with the project objectives and are performing at their best.
• Act as the primary point of contact for all project stakeholders, including agency officials, cloud service providers, and third-party vendors.
• Manage project risks and issues proactively, implementing mitigation strategies to minimize impact on the project timeline and deliverables.
• Monitor project progress and provide regular status reports to senior management and other key stakeholders.
• Facilitate the resolution of any technical challenges or bottlenecks that may arise during the project lifecycle.
• Manage the project budget, including forecasting, allocation of resources, and cost control measures.
• Champion the adoption of project management best practices and contribute to the continuous improvement of project management processes within the organization.

To qualify for the role, you will need:

• A minimum of 12 years of experience in project management, with a focus on IT and cloud-based solutions.
• Demonstrated experience in implementing data warehouses or data lakes/ data migartion within a Government Cloud environment in Singapore.
• Seasoned expertise in managing large-scale projects using cloud platforms such as GCC and Azure or AWS.
• Strong leadership skills with the ability to motivate and manage cross-functional teams.
• Excellent communication and stakeholder management skills, with the ability to engage effectively at all levels of the organization and with external partners.
• A relevant degree in Computer Science, Information Technology, Engineering, or a related field.
• Professional certifications in project management (e.g., PMP, PRINCE2) are highly desirable.

What we look for

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

What we offer

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

Plus, we offer:

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

Apply now.

Responsibilities

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

---

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

---

About the team

The Live Platform Intelligence team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and creator engagement, which includes: Build models for automated and intelligent operations to improve the efficiency and effectiveness of TT Live supply end, as well as discover and handle inappropriate user behavior and business anomaly, to assure the steady and persistent running of TT Live business. Spearheading analytical excellence with a penchant for creative problem-solving, our team functions at the intersection of data science and live content, ensuring an engaging and personalized experience for our global community of creators and viewers.

---

Responsibilities

- Drive understanding of product usage and user behavior in the field of Live ecosystem.

- Establish and refine key product metrics, set scaled and attainable goals, forecast outcomes, and closely monitor trends to precisely gauge the success of our product initiatives.

- Collaborate proactively with Product Managers, Engineers, MLE and other cross-functional teams, providing data-backed perspectives that shape our product decisions, deliver insights and excute strategy.

- Design and measure experiments to verify hypotheses and opportunities in product growth, and consult on directions for improvement

Qualifications

Minimum Qualifications

- Bachelor's degree in Statistics, Mathematics, Data Science, or equivalent practical experience.

- A minimum of 3 years of work experience in analytics.

- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or data visualisation tools (e.g. Tableau).

- Excellent problem-solving and critical thinking skills.

---

Preferred Qualifications

- Preferably with experience working on products, user growth, or live streaming business.

---

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Permanent, 5.5days, Paya Lebar

Product:

Heating, ventilation, air conditioning (Hvac)solution for data center

Our client

MNC in air conditioning and humidification system solution serving high tech industry

Years in business: > 50 yrs worldwide

Area of business: Global

Job scope

- Carry out Hands on service, maintenance, commissioning, troubleshooting, repair of data center Aircon/Hvac/ CRAC (computer room aircon)

-Documentation of pre work risk assessement n post work service reports in a timely manner.

- person in the service office.

- Supervise subcontractors

- Mentor junior technician.

- Adhere to safety sop

Requirements:

- Min Nitec Building Services, Electrical or Mechanical Engineering

- Min 2 years’ experience in the M&E industry

-Proficient with documentation for example, Job method statement, permit to work, risk assessement.

Added advantage:

Data center aircon servicing

We believe that effective risk management will help us safely navigate the volatile and complex business and regulatory environments to achieve success. In Income, our Risk Management and Compliance Departments drive risk management and compliance agenda, ensure sound and effective risk management and compliance framework and promote risk culture. We work in close partnerships with our business and other stakeholders to achieve the desired business and risk outcomes. We stay relevant and therefore, getting better and sharper at what we do is the constant. We are looking for a pro-active individual and a strong team player, who wants to grow with Income, to join us.

Description for Internal Candidates

You will play pivotal role within Risk and Compliance Innovation team and partner with the leadership team across the Risk and Compliance Departments to support the Chief Risk Officer to achieve the risk and compliance goals of Income. In your role, you will be responsible for:

• Developing models and data analytics capabilities to strengthen risk insights in monitoring key risk profiles.
• Identifying emerging trends or potential threats and supporting business strategies through data-driven analysis.
• Working closely with the Risk Management and Analytics Centre of Excellence, supported by a group of data science teams within Income, to enhance risk management effectiveness. This will be done through:Reviewing areas that are best supported by technology
  Greater use of analytics in evaluation
  Development and usage of meaningful key risk indicators
  
• Implementing or being involved in the implementation of changes and conducting necessary training.
• Providing high-quality and insightful reports to board and management.
• Assisting in the development and maintenance of quantitative risk models, including involvement in stress testing and capital allocation models to support ORSA reporting and annual risk appetite reviews.
• Implementing and maintaining data pipelines and workflows using tools like Kedro and AWS services (Redshift, S3) to ensure efficient data processing and analysis.
• Developing predictive models using machine learning techniques to improve risk assessment.
• Creating insightful dashboards and visualizations using Tableau to communicate complex risk information effectively.
• Collaborating with cross-functional teams to integrate data analytics outputs into risk management strategies and decision-making processes.

Qualifications

• Bachelor's/Master’s degree in Statistics, Financial Mathematics, Computer Science, or a related quantitative field.
• About 5 years of experience as a data analyst, preferably in a major insurance company or similar financial institution.
• Strong track record of using data mining and analytics to highlight risks and improve efficiencies.
• Proficient in Python and SQL, with experience using Jupyter Notebooks for analysis and model development.
• Knowledge of models and algorithms used for data analytics, including machine learning techniques.
• Experience working with large datasets in cloud environments (e.g., AWS Redshift).
• Familiarity with data pipeline tools such as Kedro.
• Strong expertise in data visualization and dashboard creation using business intelligence tools (Tableau, Power BI, Qlik, etc.).
• Understanding of financial risk management principles and familiarity with quantitative risk modelling concepts.
• Strategic mindset and strong analytical and problem-solving skills, able to consider risks/issues and implications to business holistically.
• Ability to analyse large datasets with attention to detail.
• Strong communication skills with the ability to explain complex or technical matters in a clear and concise manner.
• Excellent internal and external relationship-building skills.
• Ability to work effectively in a collaborative team environment

Data Engineer - Cloud

SCOPE OF THE ROLE

You will be responsible for the end-to-end software development and support for all work related to projects, quarterly change requests, L3 production fixes. This includes software product implementation and administration, application design, development, implementation, testing and support. You will be expected to work on Kubernetes based platforms.

You will also be responsible for quality assurance of the team’s delivery in conformance with the Bank-defined software delivery methodology and tools. You will partner with other technology functions to help deliver required technology solutions.

Other responsibilities include:

1. Create frameworks, technical features which helps in faster implementation of OpenShift Kubernetes based applicationsCarry out POCs involving new data technologies, new container platforms, sidecars, daemonsets
2. Design and develop application frameworks for container integration
3. Create technical documents such as solution design, program specifications for target solutions
4. Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation
5. Maintain and recommend software improvements to ensure a platform centric management of software applications
6. Performance tuning
7. Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing
8. Perform tasks as part of a cross functional development team using agile or other methodologies and utilising project management software
9. Independently install, customise and integrate software packages, programs, product releases

Functional skillsets

Hands-on experience in implementing large scale data warehouse & analytics platforms in financial services industry with good functional knowledge of products & services offered in Retail bank / Wholesale / Global Markets covering some of the following analytics domains:

1. Experience in deploying stateless, stateful workloads on OpenShift Kubernetes based platformExperience in developing microservices applications using node js, React, Java, RabbitMQ, Akka framework, Apache Consul, Apache Geode, Redis
2. Experience in developing frameworks using Spark, Scala, Java, PythonExperience in working with in-memory applications
3. Strong knowledge of Operating Systems
4. Experience in container deployment management using either Helm Package manager or Kustomize
5. Experience in integrating container applications with an external security vault such as CyberArk Conjur, AAM
6. Experience in deployment automation of container applications using Jenkins, Jfrog, Gradle, Bitbucket, Groovy

Expertise in implementing appropriate security of data (SSL, Encryption)

Expertise in Load balancing and replication, scheduling

1. Good knowledge of Custom Resources, Docker, Taints & tolerances, Node affinity, ConfigMapsExperience in Shell scripting, Control-MExpertise in design of role based fine grained access control
2. Supporting application failures, planning for resiliency, Back-up Recovery

Technical skillsets

Cloud Engineer

1. Platforms provided by IBM Cloud Pak for Data (CP4D) Kubernetes based platforms such as OpenShift, AWS, Azure, GCPSoftware defined storage (ODF)IBM Storage FusionS3 compatible storage options (Dell ECS, HCP)Node js, React, Java, RabbitMQ, Akka framework, Apache Consul, Apache Geode, Redis
2. Scala, Java, PythonHelm Package manager, Kustomize
3. Jenkins, Jfrog, Gradle, Bitbucket, Groovy Shell scripting, Docker

Splunk, Prometheus, Geneous

At least, 2 to 3 technical certifications in any of the below technologies:

1. OpenShiftKubernetes, DockerLanguage – SQL, Java, Python, ScalaAutomation / scripting – CtrlM, Shell Scripting, Groovy

Additional Experience required for all teams to create an added advantage:

1. CI/CD software, Testing Tools - Jenkins, SonarQube
2. Version Control Tool - Aldon+LMe, CA Endeavor
3. Deployment Tool kit -Jenkins
4. Service or Incident Management (IcM) Tools - Remedy
5. Source Code Repository Tool - Bitbucket
6. Scheduling Tool - Control-M
7. Defect Management Tool - JIRA
8. Application Testing tool – QuerySurge
9. Cloud certification

Position: Quantitative Data Analyst

Duration: 12 months , renewable

Location: Central, SG

JD

• Perform statistical analyses and derive business insights for Trading, Execution, and Sales

• Develop quantitative models for Market Making, Order Execution, and Delta One desks.

• Build data pipelines and dashboards associated to distinct use cases on the Trading floor.

• Ensure data quality, including mining, cleansing, and analyzing large datasets for use-case development.

• Develop well-documented code, mainly in Python, for optimizing and automating trading flow.

• Assist with the business development and vision of Markets Data Analytics, including liaising with external vendors, scheduling and monitoring teamwork, preparing reports, and building business presentations.

• Assist with the creation of software applications, user interfaces, APIs, and automated reports for business users.

• Present insights associated to business results and Data-Science methodologies to key stakeholders.

• Assist, when needed, with the development of Data Analytics platform, including Databases and Data Lake.

• Collaborate with Data Scientists, Developers, and Traders to jointly meet deadlines.

Requirement

• Master or PhD in a technical field, such as Statistics, Mathematics, Physics, Engineering, Economics, or alike.

• 4+ years of work experience as a Quantitative Analyst or Data Analyst in a financial firm.

• Advanced coding skills in Python.

• Advanced knowledge of Power BI, Tableau, and VBA / Power Query.

• Proven experience in Quantitative Trading and/or Algorithmic Trading.

APPLY to this ad or email your CV at [email protected]

Job Description:

• Development and maintenance of Huawei Big Data Stack. Extraction of structured and unstructured data from different sources and create structured Data Models. Daily work will be on Hive, Spark & Hadoop and other related tools and technologies.
• Develop features for recommendation to improve the business metrics like CTR, CVR etc.
• Develop reports from the data based on the business requirements. Develop and Maintain systems for Self-Analytics and other Visualization requirements.
• Maintain and Manage the daily running of the ETL jobs and fix the data pipeline issues, focus on “cost, compute, storage” optimization tasks on day to day basis.
• Deploy Deep Learning Models, maintain and improve their prediction accuracy through data quality, feature enhancement and hyperparameter tuning.

Skills / Qualifications:

• Master Degree/Bachelors in Computer Science or other related fields with coding and development background in the data base queries and related products.
• Strong Working Experience with Hive, SQL, data modeling, and at least one programming language (Python, Java, Scala).
• Strong working experience in big data technologies such as Apache Spark, Hive, Hadoop and Linux.
• Strong capability to coalesce and present complex data sets from different sources to different data consumers.
• Working Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy.
• Working experience in determining and implementing the security models based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
• Solve data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
• Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
• Maintain the data ensure data is valid, avoid data duplicates before exposing.
• Experience in data visualization and report generation, for AB Test and Model Performance.

Interested candidate who wish to apply for this position, please click on APPLY NOW

EA License No.: 01C4394 | PERSOLKELLY Singapore Pte Ltd

EA Registration No.: R23117518 | Heah Sian Wei

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services, complying with Government’s COVID-19 health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries.

Location: Changi Business Park – With Pick up in Tanah Merah (Morning & Evening)

Duration: 5 months

Key Responsibilities:

• Ensure all distribution activities are completed in accordance with approved documentation.
• Process Drug Order Forms, ensuring accurate entry of details such as batch allocation, quantity, and medication numbered packs into COSMOS.
• Allocate batches for opened and randomized protocols, identifying patient packs required for each Drug Order Form.
• Prepare all relevant paperwork required for each dispatch, adhering to distribution procedures, carrier requirements, and customs regulations.
• Arrange shipping of ancillary orders, including raising airway bills and generating shipping paperwork.
• Generate pro-forma and commercial invoices, Dangerous Goods declarations, e-Cert documents, and other country-specific declarations.
• Liaise with internal and external customers, and carriers regarding invoice approvals, queries, and amendments.
• Perform and maintain computer transactions in line with distribution and material control systems.
• Handle administrative duties such as photocopying, filing, and archiving of Operations documentation.
• Perform other ad hoc tasks as required by the manager.

Job Scope:

• Strong attention to detail and organizational skills.
• Proficiency in using distribution and material control systems.
• Excellent communication skills for liaising with customers and carriers.
• Ability to handle multiple tasks and prioritize effectively.
• Experience in a similar role is preferred.

For interested applicants, please send your updated resume to: [email protected]
All candidates’ information will be treated with the strictest confidence
Melissa Zhang Zhiqi (Mezzo)
R2197564
Recruit Express Pte Ltd
99C4599

Salary: up to $3200

Working Days & Hours: 2-2-3 pattern (8am-8pm/8pm-8am)

Location: Tuas (islandwide pickup)

Job Description:

• Be physically fit for manual work such as lifting, carrying, shifting, transferring of materials/chemicals.

• Perform production activities such as raw or intermediate material receiving, staging, material movement, dispensing, sampling, filter inspection, material charging, offloading, drum packing, milling operations, housekeeping as per SOP.

• Ensure proper communication and handling over of shift duties

Job Requirements: Min Diploma in Biotechnology/Chemical Process Technology/Chemical Engineering or similar

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Salary: up to $2400

Location: Novena

Working Days & Hours: Monday to Friday: 8.30am to 5.30pm

Job Description:

• Perform merchandising to ensure adequate stock levels on shopfloor and first-expiry-first-out rotation
• Assist in routine stocktake and cycle counts of retail items in various locations
• Assist in packing and repacking bulk stocks for retail pharmacy shopfloor and/or eCommerce sales
• Assist with cashiering of retail items and medications when required
• Provide customer service and execute security control measures
• Assist outpatient pharmacy technicians in pre-packing of medications and patient registration when required
• Maintain relevant documentation of routine work activities (e.g. cycle counts, eCommerce processing)
• Any other duties as assigned by supervisors

Job Requirements: Min GCE O Level / Diploma in any course w min 2 yrs of relevant experience in pharmacy

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Advance your career with Maximus Organisation: pioneering success through innovation.

At Maximus Organisation, we partner with top multinational clients across diverse industries, driving impressive market share growth. Our expertise and commitment to excellence have earned us strong client loyalty. To keep up with growing demand and exceed expectations, we're expanding our team, focused on nurturing the next generation of leaders.

What We Offer: We’re looking for ambitious, forward-thinking individuals eager to grow into industry leaders. Our structured systems are designed to support your journey, helping you achieve your career goals and thrive in a dynamic environment.

Your Role Will Involve:

• Acting as a key point of contact for clients, supporting presentations and onboarding.
• Engaging in customer acquisition through direct interactions.
• Spearheading creative marketing campaigns and projects.
• Progressing into management roles, with opportunities to lead teams and explore new business avenues.

What We’re Looking For:

• A passion for learning and professional growth.
• A proactive approach to achieving success.
• No experience required—we provide comprehensive training to set you up for success!

Ready to take the next step in your career? Send us your resume and a cover letter sharing your relevant experience and why you’re the perfect fit for this opportunity. We can’t wait to hear from you!