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.

J00007141

Key Responsibilities

1. Customer Service: Greet customers warmly, provide friendly assistance, answer questions, and help customers locate desired products.
2. Product Presentation: Ensure shelves are organized and well-stocked, regularly restock items, and set up product displays according to seasonal and promotional guidelines.
3. Sales Promotion: Proactively recommend products to customers, inform them about promotions, and encourage purchases.
4. Transaction Processing: Handle cash, credit card, and other payment transactions accurately.
5. Inventory Management: Assist in inventory counts, record inventory changes, and report stock shortages or excesses.
6. Store Maintenance: Maintain cleanliness and organization of the store, ensuring compliance with company standards and health regulations.
7. Team Collaboration: Work collaboratively with team members to ensure effective store operations and a positive customer experience.

Job Description & Requirements

• Location: Near Joo Koon MRT

• 5-day work week (Mondays to Fridays : 6.45am to 4.30pm)

Key Responsibilities:

• To assist in the day to day administrative works and operations in one of the Production Department.

Duties:

• Prepare daily and monthly production report.

• Upload daily production data for authorities.

• Perform data entry, verify documents and ensure accuracy of data documents

• Maintain proper record and filing for department.

• Daily administration duties as given by HOD.

Job Requirements:

• Minimum GCE ‘N’/ ‘O level with some experience

• PC Literate (MS Work & Excel)

• Able to work with minimal supervision and a team player

Roles & Responsibilities

• Support AP/AR
• Company cost control.
• Financial support, assisting the company's accounting company to handle accounting work.
• Support the smooth communication and operation of the company team.
• Human resources and administrative office management, such as handling entry and resignation procedures, purchasing office supplies, etc.
• Record receipts and payments in accounting software
• Prepare month-end payments and online banking transactions
• Responsible for month-end closing process and preparation of monthly financial report for management purposes
• Update cashflow report
• Audit liaison and drafting of financial statements
• Other related accounting assignments

Prepare purchase orders and send copies to suppliers and to departments originating requests.

Determine if inventory quantities are sufficient for needs, ordering more materials when necessary.

Respond to customer and supplier inquiries about order status, changes, or cancellations.
Perform buying duties when necessary.
Contact suppliers in order to schedule or expedite deliveries and to resolve shortages, missed or late deliveries, and other problems.
Review requisition orders in order to verify accuracy, terminology, and specifications.

Prepare, maintain, and review purchasing files, reports and price lists.
Compare prices, specifications, and delivery dates in order to determine the best bid among potential suppliers.

Track the status of requisitions, contracts, and orders.
Calculate costs of orders, and charge or forward invoices to appropriate accounts.

Check shipments when they arrive to ensure that orders have been filled correctly and that goods meet specifications.

Compare suppliers' bills with bids and purchase orders in order to verify accuracy. Approve bills for payment.
Locate suppliers, using sources such as catalogs and the internet, and interview them to gather information about products to be ordered.

Maintain knowledge of all organizational and governmental rules affecting purchases, and provide information about these rules to organization staff members and to vendors.
Monitor in-house inventory movement and complete inventory transfer forms for bookkeeping purposes.

• Position: Senior / Laboratory Assistant
• Working Hours: 5days (Mon-Fri), 8 am to 4.30 pm.
• Work location: Jurong Island (Transport provided at Jurong East)
• Salary : 1,900 to $3,200 + Site allowance

Interested applicants can also send your resume to WA: +65 8827 8712 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

The Laboratory Assistant is responsible for conducting of laboratory tests and samples and quality inspections assigned to them by the Supervisor.
They are expected to be knowledgeable on all equipment operating procedures as well as all quality control procedures and competent on the use of laboratory equipment.

Other responsibilities include:

• Raw material process and finished product quality control analysis
• Advance maintenance, calibration and troubleshooting of assigned laboratory equipment
• Maintenance of chemicals and consumables inventory, preparation and standardization of chemical reagents and waste management.
• Maintenance of quality records and development of quality procedures
• Training of junior laboratory or chemical technicians
• Calibration of equipment
• Conduct and contribute to risk assessment, Quality Procedures and Decision making on quality & maintenance
• Procurement of materials and budget controls
• Implementing QA & Safety Activities

Requirement:

• 1 – 2 years or more than 5 years’ experience in conducting Manual Wet Chemistry or Manual Lab Testing.

Embark on a Career That Impacts Lives

Doesn't matter if you are fresh to the industry, seeking a dynamic role in a fast-growing field or already in the Financial Advisory industry? Join as a Financial Advisor, where flexibility, entrepreneurial spirit, and unlimited earning potential converge. All we need is your energy and we will sculpt you into a success, not just using old methods, but also innovative methodologies. #WorkSmartNotHard

Key Responsibilities:

- Assess and craft financial strategies to meet clients' goals.

- Guide clients on retirement, education, and investment planning.

- Client Relationship Management.

- Interpret financial summaries and projections.

- Grow and maintain a strong client base.

Benefits & Rewards:

- Sign-On Bonus: S$500 upon career kick-off.

- Tailored Training: Gain essential certifications and skills with ongoing support.

- Funding Programme: Corporate financing for the first 24 months of your career.

- Attractive Rewards: Incentive trips and a 'work hard, play hard' ethos.

- Flexible Income Structure: Uncapped earnings through commissions, incentives, and bonuses.

Qualifications:

- Polytechnic diploma, JC cert, or degree in any field.

- Results-driven, motivated by performance rewards.

- Strong interpersonal skills with a passion for financial empowerment.

- Ideal for Career-Switchers / Fresh Entry / Less Than 2 Years of Experience within Financial Advisory Industry.

Entrepreneurial Experience: Learn to grow your own business.

Mentorship: Guided by successful mentors, who have strong teamwork and responsible ethos. #NoManLeftBehind

Join us to build a fulfilling career and make a meaningful impact. Apply now and start shaping your future!

Salary: up to $3820

Working Days & Hours: Mon-Fri Office Hours

Location: Simei

Job Description:

* Provide social casework management, conducting psychosocial and financial assessment, counselling and recommending appropriate intervention in the management of patient care

* Facilitate discharge care planning

* Participate in multi-disciplinary team meetings and facilitate family conferences

* Network with relevant organisations, social service agencies and individuals to activate social and financial resources to meet patient’s needs

* Conduct home-visits

* Organise and run psycho-emotional-social group activities for patients

Job Requirements: Min Degree in Social Work

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]

Responsibilities

• Ensures that all unsecured and secured applications are processed with accuracy in accordance to the guidelines set by the bank, and within stipulated SLAs.
• This includes and are not limited to:
• Process and verify authentication checks &/or data entries
• Perform and verify accurate income computation
• Ensure accurate input/output to enable good customer service delivery
• Documentation of procedures to ensure compliance with group policies in procedures.
• Conduct internal reviews / tests to ensure compliance Assist with data analysis, report findings, recommend corrective actions and preventive actions for review.
• Handle administrative duties that include but are not limited to filing, printing, scanning, archiving

Skills/Requirement

Job Requirements

• Ability to think objectively and 'think outside the box' when analyzing issues
• Possess a strong analytical and problem-solving skills with excellent verbal/written communication and interpersonal skills
• Proficient in the use of Microsoft Excel, powerpoint and macro

• German MNC - Biomedical industry
• Entry level, training provided
• Gross salary (Basic $2,500 + Shift allowance $180 + Transport allowance $110)
• Contract 6 months - Subjected to extension/conversion

Location: East

Working hours:

Shift 1: 655am to 305pm

Shift 2: 255pm to 1105pm

Job scope:

• Perform assembly of medical device using microscope in a cleanroom environment

Job requirement:
Singaporean only

Interested candidate may apply via email to spkp(at)scientecpersonnel.com (Indicating Job ID J47303 for faster processing). All job applications will be processed with strict confidence and only shortlisted candidate will be contacted.

Poh Tze Qi (Kayley) | R2197837

ScienTec Consulting Pte Ltd | 11C5781

Office address : 6 Woodlands Sector 2 S(737725)

Working hours: Mon to Sat, 9am to 6pm

1. Answer phone calls and emails and direct them to the person in charge.
   1. Manage sales enquiries and processing of orders inc. preparing quotations,
      invoices and packing lists.
   2. Check and update payment status
   3. Prepare safety documents and new vendor forms for daily projects.
   4. Uploading signed forms/ checklists to cloud.
   5. Set up a neat and efficient filing system in cloud and on your computer.
   6. Track project progress claim
   7. Check cash receipt records are in order.
   8. Check inventory In-Out records.
   9. Getting supplier quotations if required.
   10. Booking keeping - (must be accurate in data entries)
2. Track accounts receivables / accounts payables / bad debts
3. Bank reconciliation
   1. Generate reports from Xero Accounting for managers’ analysis.
   2. any other duties assigned by your superior

Responsibilities for Administrative Clerk:

• Prepare essential documentation, including memos, reports, and other forms of communication
• Answer and respond to organization emails and phone calls, and forward communications to appropriate parties as necessary
• Regularly check and maintain record of necessary office supplies
• Communicate regularly with staff to help procure needed items

Qualifications for Administrative Clerk:

• Associate's degree in office administration may be preferred
• 1-2 years of experience for entry-level positions
• Familiarity with productivity tools, such as Microsoft Office Suite
• Knowledge of email systems, including Microsoft Outlook and Gmail
• Working knowledge of or ability to learn to use office equipment, including printers, fax machines, and phone systems
• Strong communication skills
• The ability to work independently and seek help or assistance as needed
• Self-motivated and highly organized
• Distinctly dependable and trustworthy, with a strong and proven work ethic

As a Data Analyst in D-SIMLAB, you will get exposure in both technical and soft skills development. The role does not limit to only software development, but also involves in providing professional consultation services to customers, with the following key responsibilities:

Work together with a team of highly skilled Software Engineers and Data Scientists in software product deployment and delivery, at world leading semiconductor manufacturers.
Actively involved in product enhancement (in the area of visualization and algorithms) which improves the quality of D-SIMLAB product.
Responsible for key software components development.
Construct ETL to interface with data sources to feed d-simcon data model
Analyse data for consistency, completeness and correctness in the context of simulation modelling.
Identify factors associated with performance gaps between plan and actual.
Propose strategies to improve production line performance
Write codes for data analysis and got experience in wafer fabs will be a great advantage
We are looking for candidates fulfil the following criteria:

Bachelor/Master Degree specialises in Computer Science/Engineering or Industrial Engineering.
Diploma holders with relevant experience are encouraged to apply.
Enjoy working with experts with different cultural and technical backgrounds.
Love to travel the world and work on challenging projects.
Interest in career progression by strengthening your technical and soft skills.
Fresh graduates are welcome to apply.

Job Title: Data Engineer

Location: Tai Seng, Singapore

Job Type: Full-Time

Overview:
We are looking for a fresh graduate (degree or diploma) Data Engineer to join our growing team. In this role, you will design, build, and maintain data pipelines and infrastructure to support the collection, storage, and analysis of large volumes of data. The ideal candidate will have studied data engineering, cloud technologies, and have knowledge at optimizing data systems for performance and scalability. This position plays an important supporting role to our engineering team.

Key Responsibilities:

1. Data Pipeline Development:
   • Design, construct, and maintain scalable data pipelines that facilitate the extraction, transformation, and loading (ETL) of data from multiple sources.
   • Optimize data pipelines to ensure high availability, performance, and data accuracy.
   • Automate data workflows to streamline data processes and reduce manual interventions.
2. Data Infrastructure Management:
   • Develop, implement, and manage large-scale data processing systems using modern cloud platforms (e.g., AWS, Azure, Google Cloud).
   • Design and implement scalable data storage solutions such as data lakes, data warehouses, and databases (e.g., Redshift, Snowflake, BigQuery).
   • Monitor data systems for performance and scalability, making necessary improvements to infrastructure.
3. Collaboration with Stakeholders:
   • Work closely with data analysts, data scientists, and business teams to understand data requirements and deliver solutions that meet their needs.
   • Collaborate with software engineers and IT teams to integrate data systems with existing applications and services.
   • Ensure data architecture is aligned with the overall business strategy and technical environment.
4. Data Governance and Security:
   • Ensure data quality and reliability by implementing data validation, cleansing, and integrity checks throughout the pipeline.
   • Enforce data security best practices, ensuring that sensitive data is appropriately protected and compliant with regulations.
   • Implement data governance policies to manage metadata, data lineage, and access controls.
5. Performance Optimization:
   • Analyze and optimize query performance on large datasets, ensuring fast data retrieval and minimizing costs.
   • Implement monitoring and logging to identify bottlenecks and optimize resource usage.
6. Continuous Improvement:
   • Stay current with emerging data engineering technologies and techniques to keep systems at the cutting edge.
   • Continuously explore new ways to improve data architectures, pipelines, and processes to enhance efficiency and scalability.

Qualifications:

• Fresh graduates with Bachelor’s degree or Diploma in Computer Science, Information Technology, or a related field (or equivalent work experience).
• Proven experience as a Data Engineer or in a similar role, working with large-scale data systems.
• Strong proficiency in SQL, Python, or other programming languages used in data processing.
• Knowledge with cloud-based platforms and services (e.g., AWS, Azure, Google Cloud).
• Familiarity with distributed data processing frameworks such as Apache Spark, Hadoop, or Kafka.
• Knowledge with data warehousing and ETL tools (e.g., Snowflake, Redshift, Airflow, DBT).
• Strong understanding of database systems, both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra).
• Knowledge of data modeling, data architecture, and data governance practices.

Preferred Skills:

• Knowledge with machine learning pipelines or real-time data processing.
• Familiarity with DevOps practices and CI/CD pipelines for data engineering.
• Knowledge with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.

Benefits:

• Competitive salary and bonus structure.
• Opportunities for professional development and certification.

Application Process:
If you are passionate about building data systems that support impactful business decisions, we encourage you to apply. Please submit your resume and cover letter to [[email protected]].

Our Client:

• Electrical Equipment Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

About JobTech
JobTech is the world's leading artificial intelligence and big labour data analytics product company that empowers leaders to develop people for new work realities, driven by real labour market needs and individuals' personal aspirations. JobTech is growing rapidly with global big names customers from both private and public sectors.

About the Team
The JobTech team is an enthusiastic bunch obsessed with improving the jobs market by marrying technology and labour market intelligence. We embrace empowerment and appreciate the depth of every member’s area of expertise. We are hands-on dreamers that are willing to invest in projects and people. If you think you should be part of this awesome team looking to scale faster and better, don’t be shy and let us know!

Job Description

As a Data Scientist at JobTech, you will leverage your skills in machine learning, data analytics, and AI to build solutions that enhance our platform and provide real value to our users. In this role, you’ll collaborate closely with internal teams and clients, delivering data-driven insights that inform product decisions and client strategies. You’ll also be directly involved in client calls, where you will present findings, discuss analytical results, and ensure alignment with client objectives.

Key Responsibilities:

• Develop and Implement AI Models: Build and optimize machine learning models, focusing on natural language processing (NLP), recommendation engines, knowledge graphs, and information extraction to drive value for both our platform and clients.
• Cross-functional Collaboration: Work with product managers, engineers, and fellow data scientists to ensure machine learning and analytics solutions are aligned with business goals.
• Prototyping and Experimentation: Continuously experiment with new algorithms and data techniques. Prototype models, iterate, and test their performance to ensure they meet real-world needs.
• Data Integrity & Architecture: Collaborate with data engineers to design and maintain scalable data architectures, pipelines, and analytics systems.
• Model Deployment & Monitoring: Deploy machine learning models into production environments, monitor their performance, and iterate on improvements to enhance results.
• Data Analytics & Insights: Perform in-depth data analytics, turning raw data into actionable insights that inform product decisions and client strategies. Use statistical and machine learning models to identify trends, patterns, and opportunities for product improvement.
• Client Engagement: Participate in client calls to present your data-driven findings and recommendations. Collaborate with clients to understand their needs and ensure our analytics solutions meet their expectations.

Requirements

• Educational Background: Master’s or PhD in Data Science, Computer Science, Engineering, or a related quantitative field.
• Experience: 2+ years of experience in data science or analytics, with a proven track record of delivering machine learning solutions and driving value through data insights.
• Knowledge Graphs Expertise: Solid understanding and experience with knowledge graph representation and applications, particularly in improving information extraction and recommendation engines.
• Data Analytics Expertise: Strong experience in data analytics, including exploratory data analysis, statistical modeling, and delivering insights to business and client stakeholders.
• Client Communication Skills: Ability to communicate complex data insights to non-technical audiences and engage with clients to address their needs.

Technical Skills:

• Advanced proficiency in Python and familiarity with data analysis and machine learning libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and relational databases. Experience with Java is a plus.
• Hands-on experience building and deploying machine learning pipelines.
• Knowledge of cloud platforms (e.g., AWS, GCP) and containerization tools like Docker is advantageous.

Compliance with our strict information security policies is mandatory

• Policy Compliance: Adhere to JobTech's information security policies and procedures.
• Risk Management: Identify, assess, and mitigate security risks to protect sensitive information.
• Incident Response: Participate in the detection, analysis, and response to security incidents.
• Security Training: Attend regular training on information security best practices.
• Data Protection: Ensure the confidentiality, integrity, and availability of JobTech data.
• Regulatory Compliance: Ensure compliance with relevant legal, regulatory, and contractual requirements related to information security.
• Team Collaboration: Work closely with other functional departments to ensure cohesive security measures.
• Confidentiality: Maintain the confidentiality of sensitive information and enforce data protection measures.
• Continuous Improvement: Stay updated on the latest security trends and continuously improve the JobTech's security posture.

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.

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

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

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.