Summary:

• The successful candidate will be involved in the data management aspect for the enterprise data distribution channel in Data Strategy Group.

Responsibilities:

• Work closely with business stakeholders, data engineers and platform team to implement and support data distribution solution.
• Design an optimal onboarding process with clear visibility of the various life cycle of a product.
• Contribute, influence, and validate the design of data distribution solutions to ensure they meet both business and operational needs.
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Lead the dataset registration conversation with business and metadata team to ensure that the dataset are properly registered.
• Document the business requirements clearly.
• Perform user acceptance testing on the data distribution channel and ensure that it meets the requirements.
• Identify opportunities for continuous improvement in assigned area of work.
• Possess a degree with at least 2 to 3 years of working experience, with relevant experience in data management and the financial services industry.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Familiarity with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo will be advantageous.
• Strong analytical skill with passion in complex problem solving.
• Basic coding skill will be advantageous.
• Excellent written and verbal communication skills.
• Strong interpersonal skill to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.

Requirements:

• Possess a degree with at least 2 to 3 years of working experience, with relevant experience in data management and the financial services industry.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Familiarity with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo will be advantageous.
• Strong analytical skill with passion in complex problem solving.
• Basic coding skill will be advantageous.
• Excellent written and verbal communication skills.
• Strong interpersonal skill to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Experience with the System Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.

Job Summary:

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

Job Responsibilities:

• Work with stakeholders within the organisation, external healthcare institutions, and external entities to explore and identify opportunities to leverage data in driving business solutions.
• Support organisational reporting and dashboarding roadmap implementation.
• Apply Data Analytics and Operations Research knowledge to transform data into insights to drive optimisation and improvement of business strategies.
• Develop data processing automation through programming and other tools such as Robotics Process Automation to improve productivity.
• Participate in strategy formulation to enable and catalyse the department in meeting its KPIs.
• Maintain current organisational Enterprise Data Warehouse and plan for re-platform to future Data Lake to enable stakeholder access to accurate and high-quality data for analysis and reporting.
• Be responsible for the operationalisation of the Data Exchange Office (DXO) to handle internal and external data requests and perform Trusted Third Party (TTP) Data Anonymisation when required.

Job Requirements:

• Bachelor's degree in the field of Mathematics, Statistics, Computer Science, Software Engineering, Economics, Business, Data Science or a related field
• Proficient with real-life applications of analytics, dashboarding and reporting languages and software such as Excel, R, Python, Tableau, VBA, HTML, JavaScript, SQL, etc
• Working experience in healthcare-related industry and held a role in Business Intelligence, Systems Integration, Data Warehouse Management, Data Science or Data Engineering related areas.
• Strong analytical, communication and problem-solving skills
• Ability to perform and complete stretched tasks within tight deadlines
• Good knowledge of hospital operations

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

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

Registration No: R24123448 / EA Licence No: 12C6253

PRISM+ is the largest Singaporean direct-to-consmer smart home appliances brand. Our mission is to offer cutting-edge products to the masses at affordable prices. We are a rapidly growing, ever-evolving organisation, and we are seeking new teammates to join us on our exciting journey.

Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and correlations that provide valuable insights into business performance and customer behavior. Utilize statistical methods and machine learning techniques to extract meaningful information from data.
• Develop and deploy predictive models to forecast key business metrics, such as customer lifetime value, demand forecasting, and resource requirements. Continuously refine and improve models based on performance evaluation and feedback.
• Identify relevant features and variables that influence the outcome of predictive models. Conduct feature engineering to extract and transform raw data into actionable insights. Apply techniques for feature selection and dimensionality reduction to enhance model performance.
• Evaluate the performance of predictive models using appropriate metrics and validation techniques. Conduct rigorous testing and validation to ensure the accuracy, reliability, and generalizability of models across different datasets and scenarios.
• Communicate findings and insights effectively through data visualization techniques, such as charts, graphs, and dashboards. Translate complex analysis results into clear and actionable recommendations for stakeholders.
• Collaborate closely with cross-functional teams, including software developers, business analysts, and stakeholders, to understand business requirements, define success criteria, and integrate analytical solutions into business processes.
• Stay abreast of emerging trends, technologies, and methodologies in data science, machine learning, and related fields. Experiment with new techniques and tools to enhance analytical capabilities and drive innovation within the organization.

Qualifications:

• Proven experience as a Data Scientist, with a strong track record of developing and deploying predictive models in real-world applications.
• Proficiency in programming languages such as Python or R, with experience in data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
• Solid understanding of statistical concepts, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) and proficiency in communicating complex analysis results to non-technical stakeholders.
• Strong problem-solving skills and analytical thinking, with the ability to translate business questions into data-driven solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and interact with stakeholders at all levels of the organization.

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

Job Responsibilities

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

Job Requirements

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

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

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

Job Requirements

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

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc. Prof. Li Cheng on scalable Bayesian Gaussian process modeling for spatiotemporal data under a project on “Enhancing Scalability of Bayesian Gaussian Process Models”.

The main responsibilities of the position include:
- literature review on the statistical methodology of modeling non-Gaussian data;
- developing new Bayesian Gaussian process based models and scalable computational algorithms for non-Gaussian spatial and spatiotemporal data;
- coding and conducting numerical experiments related to the main topic.

Qualifications

• Qualifications / Discipline:
Recognised Bachelor / Master degree in Mathematics, Statistics, Data Science and related fields.

• Skills:
- Familiar with the methodology and computation of Gaussian processes;
- Strong programming skills in R, Rcpp, or Julia.

• Experience:
Nil

Where you fit in

Shell’s global Trading and Supply business is one of the largest energy trading operations in the world with key hubs in Singapore, Dubai, Houston, London, and Rotterdam, trading in crude oil, natural gas, LNG, electrical power etc. Our business in Asia has set huge growth targets for the coming years with major focus on green and sustainable energy.

To accelerate our ambitious delivery goals and energy transition targets in Asia, our gas and power trading division in the region is looking for highly skilled and motivated Data Scientist with expertise in Generative AI and Machine Learning to join our dynamic team.

What’s the role?

We are looking for people with the ability to translate business problems into AI solutions. This requires that you have next to your knowledge of machine learning and/or statistics as well as a good grasp of software development. Next to the data science capabilities and experiences you should be able to clearly and effectively present findings to our colleagues in other areas of expertise and business stakeholders.

The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning, GenAI) and has applied those skills in solving real world problems across different businesses / functions.

Your accountabilities will also include:

• Developing AI solutions to business challenges with business analysis
• Write clean and maintainable production-level code, knowledge on: Python, Databricks, GIT, SQL, Azure ML
• Enhance machine learning models on ad-hoc basis.
• Work closely with the users or Product Owner day-to-day to understand GenAI/ML/data requirements and propose effective solutions
• Work in a highly-collaborative, Agile and cross-functional environment including taking on data engineering responsibilities based on team needs
• Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience

What we need from you

To be successful in this role, we need someone who is an analytical problem solver, is excited about analytical models and algorithms, can multi-task, and can credibly interface between technical teams and business stakeholders.

Furthermore, we hope to see the following:

• 1-2 years of track record in developing and deploying machine learning algorithms with proven business impact
• Experience with Generative AI and Large Language Models
• Expertise in languages and similar software such as Python, SQL, Azure ML and Databricks
• Story telling of Machine Learning models to business users
• Agile Delivery techniques (e.g. SCRUM), user stories, tools such as Azure DevOps
• Can explain software engineering best practice e.g. CI/CD, 12-factor, git branching strategies, test automation
• Experience in time series analysis / predictive modelling with low granularity time series data, preferably in a commodity or financial trading domain is an advantage

If you don’t see yourself reflected in the job requirements on the posting above, we still encourage you to reach out and apply. Shell is committed to creating a more diverse, equitable and inclusive workplace and we encourage individuals of all backgrounds to send in your applications.

Company Description

Shell is an international energy company that uses advanced technologies and takes an innovative approach to help build a sustainable energy future. Here in Singapore, Shell has a long history and is one of the country’s largest foreign investors. It has businesses spanning trading and marketing of liquefied natural gas; refining, trading, marketing and shipping of oil products, lubricants and chemicals; low carbon solutions; and operating a network of service stations through retailers, as well as electric vehicles charging.

An innovative place to work

There’s never been a more exciting time to work at Shell.

Join us and you’ll be adding your talent and imagination to a business with the ambition to shape the future – whether by investing in oil, gas, and renewable energy to meet demand, exploring new ways to store energy, or developing technology that helps the world to use energy more efficiently, everyone at Shell does their part.

An inclusive place to work

To power progress, we need to attract and develop the brightest minds and make sure every voice is heard. Here are just some of the ways we are nurturing an inclusive environment – one where you can express your ideas, extend your skills, and reach your potential.

• We’re creating a space where people with disabilities can excel through transparent recruitment process, workplace adjustments and ongoing support in their roles. Feel free to let us know about your circumstances when you apply, and we’ll take it from there.
• We’re closing the gender gap – whether that’s through action on equal pay or by enabling more women to reach senior roles in engineering and technology.
• We’re striving to be a pioneer of an inclusive and diverse workplace, promoting equality for employees regardless of sexual orientation or gender identity.
• We consider ourselves a flexible employer and want to support you finding the right balance. We encourage you to discuss this with us in your application.

A rewarding place to work

Combine our creative, collaborative environment and global operations with an impressive range of benefits and joining Shell becomes an inspired career choice.

We’re huge advocates for career development. We’ll encourage you to try new roles and experience new settings. By pushing people to reach their potential, we frequently help them find skills they never knew they had, or make career moves they never thought possible.

About the team:

The mission of Shopee Marketplace Intelligence and Data Department is to establish advanced large-scale data and intelligent products to promote the development of Shopee's e-commerce business. Our department is responsible for Shopee e-commerce data warehouse construction, merchant and operation data product development, user full-path traffic data analysis, and applying advanced algorithms to improve product management efficiency, including listing upload system, listing management and control, product information standardization, and optimization. Building Standard Product Units and similar item ability for product comparison and enabling price comparison accordingly. Support involving new sellers, product selection, and product recommendation. Display optimized product reviews or high-quality reviews, and provide a review summary function for customers. To support the service ability above, all related researchers are welcomed, such as Natural Language Processing, Knowledge Graph, Computer Vision, Machine Translation, Speech Recognition, Identity Verification, etc.

The Listing Intelligence Team is dedicated to applying cutting-edge AI algorithms to understand large-scale product data and overcome multi-language challenges. Through massive product category prediction, large-scale product attribute mining, Standard Product Unit building, similar item matching, price comparison, and adversarial detection of prohibited products. The aim is to optimize merchants' and operators' working efficiency while improving consumers’ shopping experience.

Job Responsibilities:

• For e-commerce businesses and products, apply natural language processing-related algorithms in multi-language situations, such as but not limited to: generative models, multi-modal models, information extraction, text classification, etc.
• Through the natural language processing algorithm model, it supports product release, product optimization and management, standard product unit (SPU) library construction, identical product recognition, price comparison, and other business applications, thereby improving product conversion efficiency and platform operation efficiency.
• Explore cutting-edge technologies related to natural language processing algorithms and introduce them into existing systems to improve technical indicators.
• Lead the design of solutions and manage projects collaboratively with a team.

Job Requirements:

• Bachelor's degree or above in computer science, artificial intelligence, or related disciplines.
• More than 3 years of experience in NLP or knowledge graph-related projects.
• Excellent programming skills.

Job Summary:

Head of Data Analytics will play a crucial role in analyzing and interpreting e-commerce data to provide actionable insights that drive strategic business decisions. This role involves working closely with cross-functional teams and engaging with clients to understand business needs, market trends, and competitive dynamics within the APAC region. The ideal candidate will have strong analytical skills, a passion for data-driven decision-making, and a deep understanding of the APAC e-commerce market.

Key Responsibilities:

1. Data Analysis and Interpretation:

• Analyze complex e-commerce data sets to identify trends, patterns, and insights.

• Utilize advanced analytical tools and techniques to provide data-driven recommendations.

• Translate data into compelling stories and actionable insights for stakeholders and clients.

2. Market Research and Competitive Analysis:

• Conduct market research to understand customer needs, preferences, and behavior.

• Benchmark company performance against industry standards and competitors.

• Stay informed about market trends, emerging technologies, and customer preferences.

3. Insights Development:

• Collaborate with cross-functional teams to support product development, and solution roadmap.

• Create detailed reports and presentations that communicate findings and recommendations to clients.

4. Client Engagement:

• Build and maintain strong relationships with key clients to understand their needs and ensure insights align with their business goals.

• Present insights and recommendations to clients, addressing their specific challenges and opportunities.

• Act as a point of contact for client queries related to customer insights, ensuring a high level of client satisfaction.

5. Stakeholder Collaboration:

• Work closely with marketing, product, and sales teams to ensure insights are integrated into business processes.

• Provide support and guidance on customer insights to drive strategic initiatives.

• Continuously evaluate and improve insights processes to enhance effectiveness and efficiency

Qualifications:

• Deep understanding of the APAC e-commerce market and cultural nuances.

• At least 5 years of relevant experience in customer insights, market research, or data analytics, preferably within the APAC region.

• Strong analytical skills with proficiency in data analysis tools and methods.

• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical audiences and clients.

• Proven ability to work collaboratively in a cross-functional team environment.

• Experience in client engagement and relationship management.

• Ability to manage multiple projects and priorities in a fast-paced environment.

WHAT YOU'LL DO

As a data-driven solutions team we are looking for a senior data engineer that helps us design, build and operate our data pipelines and data storage aspects of our solutions. We are looking for colleagues that are self-driven and don’t shy away from trying new unconventional methods to build new state-of-the-art solutions that bring data to where we need it. Daily tasks include :

• Data pipeline design, data extraction, data quality assurance, data transformation and data pipeline automation.
• You will need to focus on enterprise grade delivery of data pipelines in a compliant way touching data privacy, data protection, anonymization, and compliant software development practices.

WHAT YOU'LL BRING

We are looking for a candidate who possesses a passion for innovation and data-driven solutions paired with a hands-on can-do attitude. The ideal candidate will be a self-motivated expert with a love for delivering quality data sets and coach junior data engineers.

Ideal candidates have the following experience/skills.

• University degree in a technical field
• Practical data processing skills especially with unstructured text.
• UNIX/LINUX Operating system savvy
• Solid foundation in computer science
• Applied knowledge in Python & Spark
• Experience building and optimizing big data pipelines.
• Creative thinking, willingness, and ability to learn new concepts and technologies.
• Fluent in English

MEET YOUR TEAM

We are a Data Science and Technology focused team and we have established a data lake platform used by more than 150 Data Scientist in Service and Support. The team’s mission is to improve, automate, and transform the customer support business of SAP using Machine Learning and Data-driven Innovation.

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

We are seeking a part time staff who can assist in data creation, evaluating the collected data’s reliability, validity, and accuracy and improving the data quality.

Duties & Responsibilities

• Assisting with translation and data creation in Burmese language so proficiency in Burmese is a must.
• Evaluating the collected data’s reliability, validity and accuracy
• Verifying data by cross-checking with other sources
• Making recommendations for improving data quality

Qualifications

• Proficiency in Burmese as well as knowledge in Burmese culture due to usage of Burmese language for data collection and creation.
• Able to commit to the project for 6 months
• A Bachelor’s degree in any discipline

SPH Chinese Media Group Lianhe Zaobao Digital is seeking a talented Interactive / Data Visualization Developer to join our dynamic digital storytelling team. As a key member of our team, you will have the opportunity to shape the future of digital storytelling, influence our strategies, and grow with us as we explore new frontiers in interactive content. The ideal candidate will have a passion for creating engaging, visually compelling, and data-driven interactive experiences. You will collaborate with journalists and designers to turn real world projects / data into accessible and interactive narratives. Your work will play a key role in enhancing our storytelling capabilities and engaging our audience with rich, immersive content.

We value your potential for growth and advancement, and we are committed to supporting your professional development through continuous learning opportunities and challenging projects.

Your job responsibilities include:

• Designing and developing interactive data visualizations to support digital storytelling efforts.
• Ensuring visualizations are accurate, compelling, and aligned with the story's narrative.
• Collaborating with storytellers and designers to produce interactive elements in a story.
• Working with editorial and digital teams to interpret data sets and extract meaningful insights to drive a story.
• Partnering cross-functional teams to brainstorm and develop innovative storytelling approaches.
• Providing technical expertise and guidance on best practices for data visualization and interactive content.
• Optimizing interactive elements for performance and accessibility.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Science, Analytics or a related field; minimally 3 years of experience in data visualization, front-end development, or a related role (you will be required to submit a portfolio to showcase your experience in developing interactive and data-driven visualizations, highlighting projects that demonstrate your technical skills and creativity)
• Effectively bilingual in English and Chinese (written and spoken) as this role supports a Chinese Publication
• Proven experience with data visualization libraries and frameworks such as D3.js, Chart.js, or similar, and in web development technologies including HTML, CSS, JavaScript, and frameworks such as React or Angular would be advantageous
• Strong proficiency in data analysis and visualization tools; strong understanding of UX/UI principles and responsive design.
• Excellent problem-solving skills and attention to detail
• Ability to communicate technical information to non-technical audiences
• Kept up-to-date with the latest trends and technologies in the field
• Ability to work independently, as well as in a team to deliver under tight deadlines

- Assists operative executive handle import export daily job

- Arrange payment to co loader

- Update daily report and cargo movement report

- Generate invoice for customer

- Chase PO from customer

- Email invoice to customer for payment

- Check and verify vendor invoice copy before pass to accounts

The incumbent will be part of a Programme Evaluation (PE) team who drives programme evaluation efforts across MOH-Family. He/She uses statistical techniques to evaluate programmes/policies or conduct developmental analytics to improve implementation, and derives insights from administrative databases, surveys, and public information to support policy decisions. He/She enjoys working with data and displays willingness to learn. He/She adopts an analytical approach to solving problems and displays confidence when communicating ideas. He/She leads important projects and collaborates with policy stakeholders to understand the context and refine the analyses.

Roles & Responsibilities

• Develop and implement the MOH-Family Programme Evaluation Framework
• Develop and implement a systematic structure of Programme Evaluation framework which can be consistently applied to various health programmes and other expenditure types
• Provide training for MOH divisions to conduct programme evaluations
• Drive programme evaluation efforts across MOH-Family
• Build programme monitoring and evaluation capabilities among MOH officers
• Plan resources that are needed to conduct various programme evaluations
• Centralise programme evaluation functions across all MOH divisions
• Plan, undertake, and communicate evaluations of MOH-family programmes and policies
• Work with policy divisions and stakeholders to design and evaluate health programmes using the most suitable methods (qualitative/quantitative studies, experimental/quasi-experimental designs)
• Conduct pre-, during-, and post-implementation monitoring and evaluation of major healthcare programmes for process, outcome, and economic evaluations, and impact assessment
• Interpret and communicate findings in light of policy decisions/context
• Develop action plans to drive process improvement, refine programme delivery, and provide evidence for decision-making to achieve the programme’s intended outcomes
• Work with stakeholders and use evaluation results to drive process improvement and decision-making

Requirements

• Graduate/Postgraduate degree in a quantitative discipline: Health Services Research, Economics, Health Economics, Statistics/Biostatistics/Bioinformatics, Mathematics, Data Science, Business Analytics, Public Health, Public Policy, or related qualifications, or relevant work experience
• 2+ years relevant working experience is a plus, especially in conducting evaluations and/or analysis in healthcare, government, or IT sectors
• Possess a wide range of analytical skills and evaluation methods. Familiarity with both qualitative and quantitative study designs will be an advantage
• Good stakeholder engagement, communication, and presentation skills
• Able to work independently in a fast-paced working environment, and effective as a team player

Construct Future-Generation Data Systems

• Collaborate with diverse teams to establish and guide the roadmap and architecture of data infrastructure.
• Conceptualize, design, and develop a scalable and maintainable data pipeline encompassing data warehousing, data integration, and ETL processing.
• Create documentation related to software development, design, test cases, user training, and release.
• Lead or participate in bespoke data integration projects involving internal data systems and/or external subcontracted manufacturing and logistics systems.
• Work with SMAI/IT architectures/teams to plan and prioritize infrastructure delivery, ensuring processes and deliverables are aligned with the roadmap.
• Work alongside backend developers to define API specifications (e.g., REST services)

Ensure High-Quality Operational Data

• Set up best practices and tools for software development to uphold data integrity, perform cleanup, and validate across all pertinent data sources.
• Facilitate ongoing improvements in data quality to minimize support requirements.
• Establish centralized logging and monitoring systems equipped with logic for generating usage reports and conducting audits.
• Work in conjunction with IT to guarantee efficient processes for incident management, problem resolution, and change management.

Design and Implement Data Analytics

• Develop comprehensive business analysis that identifies challenges, opportunities, and potential solutions for the business. Project management and planning.
• Engage with extensive and intricate data sets to address a broad spectrum of business issues using various analytical and statistical methodologies.
• Resolve intricate optimization challenges utilizing optimization techniques.
• Create and standardize data science solutions within a production data pipeline.
• Ascertain statistical validity and significance, conduct statistical analysis to guide data-driven decisions, and identify anomalies, trends, and shifts.

Create Contemporary Visualization Solutions and Web Applications

• Develop web application and automate the needs for business reporting.
• Conduct interactive design sessions with customers.
• Utilize experimentation methods and design tests to enhance key user experiences.

Qualification:

A bachelor’s or master’s degree in data science, computer science, or information technology.

Minimum of 3 to 5 years of professional experience in the following areas:

• Software application (.NET or Java) and web application development (preferably Angular) and familiarity with JavaScript
• Business analysis and project management– assess processes, determine requirements, and deliver data-driven solutions to stakeholders
• Proficiency with business intelligence solutions (Nifi, Tableau, or Microsoft Power Platform)
• Comprehensive knowledge of relational databases, table and schema design, dimensional data modeling, SQL query and query optimization, and familiarity with database management systems (Microsoft SQL, HANA, or Snowflake)
• Understanding of the Agile development process
• Strong foundation in machine learning, statistical analysis, and data modeling.
• Outstanding problem-solving skills, with the ability to multitask and manage multiple projects concurrently.
• The ability to work in various areas of a development lifecycle, either as part of a team or independently.
• Self-driven, with a strong sense of ownership and the ability to work autonomously with minimal supervision.
• Effective communication skills, capable of presenting complex concepts and findings to both technical and non-technical stakeholders.
• High attention to detail, with a focus on data accuracy and quality.
• A team player who has experience working on projects with global stakeholders.
• Knowledge of the Manufacturing Execution System, SAP enterprise master data, and an understanding of logistics business acumen would be an advantage.
• Knowledge of capacity modeling, planning, and optimization would be an added advantage.

Our Client is a Local Bank.

Location: Raffles Place

Reponsibilities:

· Assist the project team in conducting and facilitating comprehensive HR data mapping analysis, bridging existing HR systems with the target system.

· Work closely with HR and IT departments to grasp data requirements, ensuring precise and effective data migration procedures.

· Take the lead in coordinating data transformation initiatives with HR teams to ensure data integrity, consistency, and compliance with organizational and project guidelines.

· Collaborate with the project team to create and update documentation for data mapping, transformation rules, and migration processes.

· Develop and manage documentation for data migration, encompassing data dictionaries, mapping specifications, and transformation logic.

· Coordinate with IT teams to enhance data extraction, transformation, and loading processes for improved efficiency and performance.

· Implement and enforce quality assurance protocols to validate data accuracy and completeness following migration.

· Provide assistance to HR teams in executing data transformation protocols.

Requirements:

· At least 3 - 5 years of expertise in HR analytics, HRIS, HR software, or managing HR records and documentation.

· Proficient in HR data structures, processes, and regulatory requirements.

· Previous involvement in data migration projects and the implementation of new HR systems is advantageous.

· Familiarity with Oracle EBS, Workday, SAP, and other HR platforms is a plus.

· Proficiency in MS Excel, including data manipulation and validation techniques.

· Capable of effective communication with both technical and non-technical stakeholders.

· Possesses excellent organizational and documentation abilities.

Attention to: Hailey

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

We regret to inform you that only shortlisted candidates will be notified. All applications will be treated with the strictest confidence.

Elitez Pte Ltd | EA Licence: 16C8004| Hailey YANG | Registration No: R1876431

inc04090605

Job Summary:

• Industry: Healthcare
• Employment type: 6 months contract

Job Responsibilities:

• Processing of high-volume claims.
• Address staff queries and concerns on claim matters.
• To ensure the Key Performance Index and Service Level Agreement are met.
• Any other ad-hoc duties.

Job Requirements:

• Diploma in Human Resource or Business-related discipline.
• Able to manage high-volume activities and handle data confidentiality.
• Able to work under tight timelines and respond to changing priorities.
• Organised, meticulous and proactive.
• A team player with good interpersonal skills.

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

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

Registration No: R24123448 / EA Licence No: 12C6253

• Work closely with business (research analysts, quantitative strategist, end-users, etc), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle, e.g. data onboarding and data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.

Skillset Requirements

• Degree in IT or related.
• At least 2 years of relevant experience in data management, data analytics, and data engineering user.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Good knowledge and experience in Python, SQL ,Data modelling, ETL,PowerBI etc.
• AI & ML will be good to have.
• Excellent written and verbal communication skills.
• Strong interpersonal skills and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Fresh Graduates with Intern exp are encouraged to apply

SPH Chinese Media Group Lianhe Zaobao Digital is seeking a talented Interactive / Data Visualization Developer to join our dynamic digital storytelling team. As a key member of our team, you will have the opportunity to shape the future of digital storytelling, influence our strategies, and grow with us as we explore new frontiers in interactive content. The ideal candidate will have a passion for creating engaging, visually compelling, and data-driven interactive experiences. You will collaborate with journalists and designers to turn real world projects / data into accessible and interactive narratives. Your work will play a key role in enhancing our storytelling capabilities and engaging our audience with rich, immersive content.

We value your potential for growth and advancement, and we are committed to supporting your professional development through continuous learning opportunities and challenging projects.

Your job responsibilities include:

• Designing and developing interactive data visualizations to support digital storytelling efforts.
• Ensuring visualizations are accurate, compelling, and aligned with the story's narrative.
• Collaborating with storytellers and designers to produce interactive elements in a story.
• Working with editorial and digital teams to interpret data sets and extract meaningful insights to drive a story.
• Partnering cross-functional teams to brainstorm and develop innovative storytelling approaches.
• Providing technical expertise and guidance on best practices for data visualization and interactive content.
• Optimizing interactive elements for performance and accessibility.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Data Science, Analytics or a related field; minimally 3 years of experience in data visualization, front-end development, or a related role (you will be required to submit a portfolio to showcase your experience in developing interactive and data-driven visualizations, highlighting projects that demonstrate your technical skills and creativity)
• Effectively bilingual in English and Chinese (written and spoken) as this role supports a Chinese Publication
• Proven experience with data visualization libraries and frameworks such as D3.js, Chart.js, or similar, and in web development technologies including HTML, CSS, JavaScript, and frameworks such as React or Angular would be advantageous
• Strong proficiency in data analysis and visualization tools; strong understanding of UX/UI principles and responsive design.
• Excellent problem-solving skills and attention to detail
• Ability to communicate technical information to non-technical audiences
• Kept up-to-date with the latest trends and technologies in the field
• Ability to work independently, as well as in a team to deliver under tight deadlines

Experience: 8+ Years

Role: Data Engineer

Skills: ETL, UNIX, SQL, Hadoop, Hive, Shell Scripting and Informatica.

Key Responsibilities:

· Data Warehousing concepts, Strong ETL Knowledge, Informatica PowerCenter installations /migrations /troubleshooting.

· Development & Testing of complex ETL logics, Cloud Data Integration in IICS, Administration in IICS, Installation of secure Agent in IICS, Informatica PowerCenter (Versions 9.x, 10.x), Informatica Administration, Talend Cloud Big data, HDFS, Understanding of Hadoop, Basics of Spark processing.

· Proficiency in Informatica PowerCenter 10.x or higher preferably in a Unix (Linux/AIX) environment with Oracle sources and targets.

· Must have experience in Oracle 19c or higher (SQL*Plus, PL/SQL)/Experience in Unix Shell Scripting (Linux/AIX)

· Experience Job scheduling tools like Control-M

· Good to have experience in Change Control Management tools & Visio

· Have experience on all stages of Software Development Life Cycle (SDLC)

· Able to do requirement gathering, impact analysis, ETL mapping, build, unit testing, support SIT/UAT/Production

· At least 3 years’ experience in Hadoop development

· Banking/finance domain experience will be an advantage.

· Integrate Multiple source system under Retail Banking to Data Lakes

· Bring the source system data into a standard format and loading into Hadoop.

· Reconciling the data provided and data load and generating reports of the data quality.

· Performing the Data quality on the data loaded into Data warehouse.

· Design and implement data models and databases for data storage in Data Lakes

· Achieved to work individually from Data Discovery to Production Implementation.

· Ontime deliver for Multiple projects in time within SLA.

· Monitor data loads and support the production incidents.

· Design, develop, and implement data processing pipelines to process large volumes of structured and unstructured data

· Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, Kudu).

· Should have good knowledge and working experience in scripting using (Shell script, awk programming, quick automation to integrating any third-party tools), BMC monitoring tools

· Good understanding and knowledge in Data Modelling area using industry standard data model like (FSLDM)

· Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions

· It will be good to have experience in working with No SQL as well as virtualized Database Environment.

· Prior experience in developing banking application using ETL, Hadoop is mandatory. In depth knowledge.

· Experience in developing Hadoop

· Experience in data lake (integration of different data sources into the data lake)

· SQL Stored Procedures/Queries/Functions

· Unix Scripting

· Experience with distributed computing, parallel processing, and working with large datasets

· Familiarity with big data technologies such as Hadoop, Hive, and HDFS

· Job Scheduling in Control-M

In this role, you can expect to:

● Design, build, and optimize real-time data processing pipelines using Kafka, Flink,

Spark Streaming, and other relevant technologies.

● Develop efficient and scalable data processing workflows to ensure timely delivery

of actionable insights.

● Troubleshoot and resolve any performance, scalability, or availability issues that

arise in the real-time data processing infrastructure.

● Stay up to date with the latest advancements in real-time data processing

technologies and recommend improvements to enhance the system's capabilities.

Requirements:

● Bachelor's degree in Computer Science, Engineering, or a related field (advanced

degree preferred).

● Proven experience as a Data Engineer, specifically in real-time data processing.

● Strong proficiency in Kafka, Flink, Spark Streaming, and related technologies.

● Solid programming skills in Python and familiarity with CICD practices.

● Familiarity with AWS cloud platforms and containerization technologies (e.g.,Docker, Kubernetes) is a plus.

As Data Centre Engineer, need to police and set up the DC according to what we need, able to provide technical advice in facility management, manage DC service provider and work with project manager to do UAT and build the data center.

Roles and Responsibilities:

• DC Facilities / Preventive Maintenance

• DC Rack, Network Cabling, and DCFM Operation Management

• Liaise and work directly with stakeholders, DC Op Managers and/or DC Service Facilities providers for purpose of project delivery and maintenance support.

• Liaison with DC Provider/ vendor with regards to utilities, building services / facilities and systems issues, which include Data Center Infrastructure Management DCIM support, Key management system and maintenance.

• Administrator for preventative maintenance programs to ensure that DC provider carry out the facilities maintenance.

• Proactive monitoring of the Environmental System Alerts in the Data Centres to ensure they are operating within acceptable level and to escalate promptly to the relevant authority or third-party vendors to rectify any defects alerted.

• Monitor and optimise Power Usage Effectiveness (PUE) and overall power consumption within the data centre, ensuring the efficiency of servers and racks meets target power consumption levels.

• Ensure DCIM systems are operating as designed to protect the data center, capture power usage, calculate available capacity, and provide meaningful, timely alarms, notifications, and reports.

• Propose continuous improvement initiatives with recommendations to strengthen IT governance & compliance, increase efficiency on work quality and processes.

• Support design planning and space allocation for prospective Colo and Private cloud service hosting. Recommend acquisition of new technology to enhance DC operational efficiency.

• Support DCFM on matters pertaining to all Data Center (DC) projects; this include making arrangement and attend site surveys with vendors, supplier and business Product and suggest feasible solutions to ensure DC’s requirement are addressed or met.

• Support the management of works conducted within the Data Centres such as site preparation, site survey, network cabling, electrical wiring, air-conditioning, building power supply (including power generator) tests, on-site/off-site standby activities etc

• Establish work schedule, monitor work progress on site, examine and certify works done, and to attend Factory Acceptance test, Site Acceptance test and Integrated System Test, if any.

• Support and oversee new data center project fit-out, additions & alterations works, including SIT/ UAT testing.

• Ensure project closure and hand over with as-built drawings, schematics and reports, including commissioning of assets. This include witness key commissioning tests on site

• Enforce adherence to established procedures (SOPs, MOPs, EOPs, PTWs, RAs) and change control processes for all data center maintenance activities.

Reporting and Analysis:

• Establish operational and performance benchmarks, analyze data, and prepare reports on all aspects of facility operations and maintenance.

• Generate monthly progress reports and track deliverables.

Requirements/ Qualifications:

• Bachelor of Computer Engineering or equivalent

• Have at least six (6) years of working experience in Data Centre Facility Management/Environment,

• Have at least three (3) years of experience in leading a team in a similar capacity.

• Excellent vendor management skills and comfortable to travel around different data centers

• Possess broad-based knowledge and skills in the areas of building technology, mechanical and electrical services and facilities management.

• Good knowledge and understanding of Data Centre infrastructure systems with experiences working on mission critical systems such as UPS, Chiller, CRAC, Thermal /Fan Wall Cooling , Electrical HT/LT, Fire Protection, Water Detection systems, Fire Suppression systems, PDU, CCTV systems, Card Access systems etc.

• Have good working knowledge for best practices in fire/workspace safety, management, control, and operating a Data Centre hosting services

• Proficient in Rack and Stack Tasks/ Planning, analysis and forecasting under Data Centre Infrastructure Management (Able to allocate racks efficiently – plan and relocation experience – power usage optimisation)

• Must possess relevant experience in DC facility management and vendor management.

• ITIL Foundation V4 certified, and Possess Data Centre Certifications such as CDCP and CDCS

• Working experience in managing & supporting DCIM system; Struxureware Data Center Expert (DCE) Struxureware Data Center Operations (DCO) and IT Advisor (ITA) in support of new data center deployment, and retrofits.

• Inclination & passionate to automate routine tasks to drive operational efficiency.

• Familiar with ISO 9001, and I

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

Job Responsibilities

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

Job Requirements

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

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator, Prof Umang Mathur and lab members. He/she should possess experience or interest in the research area of building and optimizing an automata counter.

Qualifications

• Bachelor's or master's degree in computer science. Relevant research experiences would be a plus.
• Programming in C/C++ and Rust. Evaluation on benchmarks.
• Ability to read and understand methodologies in research papers.
• Good written and verbal communication skills

Position Overview

Autodesk is looking for diverse engineering candidates to join Licensing and Compliance team, a collection of systems and teams focused on detecting and exposing non-compliant users of Autodesk software. This is a key strategic initiative for the company!

As a Data Engineer, you will work to rapidly improve critical data processing & analytics pipelines. You will tackle hard problems to improve the platform’s reliability, resiliency, and scalability.

We are looking for someone who thrives on autonomy and has experience driving long-term projects to completion. You are detail and quality oriented, and excited about the prospects of having a big impact with data at Autodesk. Our tech stack includes Hive, Spark, Presto, Jenkins, Snowflake, PowerBI, Looker and various AWS services.

Responsibilities

• You will need a product-focused mindset. It is essential for you to understand business requirements and architect systems that will scale and extend to accommodate those needs
• Break down complex problems, document technical solutions and sequence work to make fast, iterative improvements
• Build and scale data infrastructure that powers batch and real-time data processing of billions of records
• Automate cloud infrastructure, services, and observability
• Develop CI/CD pipelines and testing automation
• Interface with data engineers, data scientists, product managers and all data stakeholders to understand their needs and promote best practices
• You have a growth mindset. You will identify business challenges and opportunities for improvement and solve for them using data analysis and data mining to make strategic or tactical recommendations
• You will support analytics and provide critical insights around product usage, campaign performance, funnel metrics, segmentation, conversion, and revenue growth
• You will build ad-hoc analysis, long-term projects, reports and dashboards to find new insights and to measure progress in key initiatives
• You will work closely with business stakeholders to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs
• You will partner with different teams within the organization to understand business needs and requirements
• You will deliver presentations that will distill complex problems into clear insights

Minimum Qualifications

• 4-7 years of relevant industry experience in big data systems, data processing and SQL databases
• 3+ years of coding experience in Spark data frames, Spark SQL, PySpark
• 3+ years of hands on programming skills, able to write modular, maintainable code, preferably Python & SQL
• Good understanding of SQL, dimensional modeling, and analytical big data warehouses like Hive and Snowflake
• Familiar with ETL workflow management tools like Airflow
• 2+ years of building reports and dashboards BI tools. Knowledge of Looker a plus
• Experience with version control and CICD tools like Git and Jenkins CI
• Experience in working and analyzing data on notebook solutions like Jupyter, EMR Notebooks, Apache Zeppelin
• Problem solver with excellent written and interpersonal skills; ability to make sound, complex decisions in a fast-paced, technical environment.
• Bachelor’s degree in computer science, Engineering or related field, or equivalent training, fellowship, or work experience