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.

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.

As part of our team, you can look forward an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.

https://nusit.nus.edu.sg/

Job Description

We are seeking an experienced Data Engineering Lead to oversee the data engineering team in NUS.

The role will be responsible for leading and guiding teams in the development of high-quality data lakehouse, ensuring they meet business needs and align with NUS strategic goals. The role will also ensure the proper implementation across all stages of the data lifecycle

This role will manage a team of 6 data engineers handling ELT/ETL framework and end-to-end data pipelines from various source systems to data lakehouse with a plan for future growth.

This is a hands-on leadership role and the candidate should have been on active hands-on development at least 5 years prior.

Duties and Responsibilities

Technical Expertise
• Participate in the technical design of data platforms and their technologies, including their framework, architecture, standards, and guidelines.
• Provide technical guidance and expertise to the team, helping to solve complex technical challenges.
• Stay updated about emerging technologies and industry trends to drive innovation within our organization.
• Ensure adherence to best practices in design, development, testing, and maintenance.
Leadership and Team Management
• Lead and mentor the team, fostering a culture of innovation, collaboration, and excellence.
• Provide direction and guidance to the team in managing the full data lifecycle.
• Perform Scrum Master role for the team.
• Develop and implement strategies to enhance team’s performance and productivity.
• Foster collaboration and high-performance culture within the team.
Delivery Management
• Ensure timely and high-quality delivery, aligning with project objectives, scope, and timelines.
• Oversee the design and implementation of data lakehouse to meet the university’s needs.
Quality Assurance
• Implement quality control and testing procedures to guarantee the high-quality delivery.
• Ensure data lakehouse aligns with the university's regulatory and compliance requirements.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 7 years of experience in technical leadership roles, with a strong emphasis on data lakehouse and data engineering solutions.
• Proven ability to lead data engineering teams, promoting collaboration and achieving project objectives.
• Strong problem-solving and critical-thinking skills, with a proven track record of effectively addressing technical challenges and risk mitigation.
• Strong knowledge of quality assurance processes, encompassing testing methodologies, and quality control procedures.
• Relevant experience in designing, developing, and supporting data lakehouse and data engineering solutions.
• Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors.
• Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit.

Technical Expertise
• Strong working experience in end-to-end development of data lakes and data warehouses, preferably with experience in Informatica.
• Strong working experience in Azure Data services, preferably Azure Fabric.
• Strong database working experience for transactional and analytics systems, including querying and tuning large, complex data sets and performance analysis.
• Working experience in big data and DataSecOps is an added advantage.

Product area

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

Job description

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

Qualifications

Job responsibilities

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Learn and apply skills in repairing and troubleshooting different machine platforms.
• Participate in complex troubleshooting and resolve critical technical issues.
• Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other networking gear. Configure and troubleshoot Linux OS-related issues.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• Experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.
• Experience Data Centers, Linux, Hardware, Networking, OSI Model, Written Communication, Teamwork, Communication.

Preferred qualifications

• Experience in maintenance of server systems.
• Experience working within a data center or network operation center environment.
• Experience with troubleshooting hardware and network issues using Linux tools.
• Knowledge in Networking, including topology and protocol understanding.

DC Environment Support

• Shall monitor the facilities infrastructure in the DC to ensure that they are within the operating levels defined by the Customers.
• Power infrastructure (such as Uninterrupted Power Supply and power distribution boards);
• Cooling Infrastructure (such as computer room air-conditioning units);
• Fire detection and suppression systems (such as FM200, water sprinklers, fire extinguishers);
• Environment monitoring system (such as humidity and temperature); and
• Water leakage detection.
• Shall ensure the DC infrastructure is monitored on twenty-four (24) hours a day, seven (7) days a week, inclusive of Saturdays, Sundays and Public Holidays.
• The Vendor shall inform the Customer within one (1) hour when problems are detected.
• Shall work with the Customer and Customer-appointed Supplier to resolve any infrastructure issues detected in accordance to the support hours as required by the Customer.

DC Facilities Management Services

• Shall ensure, through daily inspection, that the general cleanliness and tidiness of the data centre are maintained by the Customer-appointed Supplier.
• Shall work with Customer-appointed Supplier on site preparation tasks such as network cabling and electrical wiring, when required.
• Shall ensure the network cabling in the data centre and within the racks are neat and tidy.
• Shall work with the Customer-appointed Supplier for both scheduled and ad-hoc maintenance, servicing, repair and upgrading works to the infrastructure at the Customer’s premises and premises identified by the Customer.
• Shall plan and coordinate the maintenance activities. This includes polling the affected parties, obtaining the Customer’s approval, and sending out messages to inform the affected party.
• Shall obtain the Customer’s approval before finalizing the plan for any activity.
• Shall provide on-site support during the maintenance activities unless otherwise agreed by the Customer.
• Shall maintain up-to-date documentation of the data centre design layouts.
• Shall manage the physical security of the data centre in accordance with the guidelines provided by the Customer.
• Shall monitor the following physical security infrastructure to ensure they are within the operating levels defined by the Customer

Requirements:

• Preferably Three (3) years of working experience in Data Centre Engineer Operations experience
• ITIL v4 Foundation Certification or equivalent

Responsibilities Of The Role

• Directly contributes to the design and development of scaled Data Science algorithms.
• Applies technical knowledge to massive datasets with exploratory data analysis, feature engineering, and model building to deliver accurate and impactful algorithms.
• Quantifies improvement in business areas resulting from u algorithms. Works with Data and Software Engineering teams to productionize algorithms
• Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.

Job Qualifications

• At Least Bachelor Degree in Analytics, Data Science or related field.
• 1+ year of experience in Python, Cloud and ML Alorithms
• Hands on Machine Learning project experience by Python
• Good understanding about Data Analytics and Business Intelligence
• Exposure in model validation, back-testing, and other model risk management activities.
• Proven Foundation across full spectrum of ML Techniques (Traditional Methods, Deep Learning, Bayesian, etc), Statistics, Data Modeling, and Optimization.
• Strong written and verbal communication skills to influence others to act
• Ability to balance multiple priorities
• Good social skills, self-motivated, dynamic and can-do attitude
• Strong enthusiasm and curiosity about the intersection of business and technology

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

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.

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.

As part of our team, you can look forward an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.

https://nusit.nus.edu.sg/

Job Description

NUS IT is the IT department of NUS, we develop solutions that are used by students, staff, as well as other visitors that serve to further NUS education needs and vision.
We are seeking an experienced Data Architect to oversee technical data architecture in NUS.
The role will manage the technical architecture of our data platforms as well the solution architecture of data related solutions. This role will also champion the proper implementation and adherence to best practices across all stages of the data platform delivery lifecycle.
This is a hands-on individual contributor role and the candidate should have recent hands-on development experience.

Duties and Responsibilities

Data Platform Technical Architecture

• ​Create, manage, and document optimal data pipeline architecture.
• ​Understand technical architecture of data related platforms and provide advisory to other teams.
• ​Build the infrastructure required for optimal extraction, transformation, and loading of data from data sources.
• ​Create, manage, and document data pipelines in the data pipeline solution and keep them in line with business needs.

​Data Solutions Architecture

• ​Design the solution for a modern data platform, including aspects like master data management, data lakehouse, data pipelines.
• ​Design best practices for data related implementations.
• ​Define and champion the direction for data platforms and their technologies, including their framework, architecture, standards, and guidelines.

Technical Expertise

• ​Stay updated about of emerging technologies and industry trends in order to drive innovation within our organization.

​Organizational Collaboration

• ​Provide technical guidance and expertise to teams, helping to solve complex technical challenges.
• ​Collaborate with engineering teams, fostering a culture of innovation, collaboration, and excellence.
• ​Provide direction and guidance to teams (both inside and outside of NUS IT) on working with the data platform.
• ​Collaborate with university departments on any technical solutioning required to support data platform requirements.

Qualifications

• ​Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• ​Minimum of 8 years of experience with a focus on data platforms architecture and engineering.
• ​Proven ability to work with cross-functional teams, promoting collaboration and achieving the objectives of programme and initiatives.
• ​Exceptional problem-solving and critical-thinking skills, with a track record of effectively addressing technical challenges and risk mitigation.
• ​Demonstrated strategic thinking and planning abilities, capable of aligning technical projects with organizational goals and market demands.
• ​Relevant experience in designing, developing, and supporting data platforms, having successfully completed projects in data projects delivery.
• ​Strong verbal, written and interpersonal communication skills with the ability to interact and communicate effectively with all levels of management, users, and vendors.
• ​Must be a good team player, proactive in nature, fast learner, highly organized and go-getter attitude with can-do spirit.

​Technical Expertise

• ​Strong working experience in end-to-end development of data lakes and data warehouses, preferably with experience in Informatica.
• Working experience in Azure cloud.
• ​Strong working experience in Azure Fabric – specifically Data Factory, Data Engineering, OneLake (Data Lake Storage) and Data Warehouse.
• Good working experience knowledge of master data management.
• ​Working experience in big data and DataSecOps is an added advantage.
• ​Experience in MS SQL and Oracle, including querying and tuning large, complex data sets and performance analysis is preferred.

Get to Know the Team

As an engineer at Grab, you'll help shape the heart and soul of the company. Our team's mission is to create amazing services and tools that impact hundreds of millions of consumers, driving partners, and fellow Grabbers every day.

The applications we develop are core to our business. Your contributions will touch millions of lives, and you'll be recognised when you exceed our high expectations. You'll work in an international team of experienced developers who prioritise quality and new ideas. In our agile, test-driven development environment, you'll not only build new features and platforms but also evaluate the latest in mobile technology.

We're constantly improving our food delivery and supermarket platforms, handling tens of millions of bookings daily. New code reaches hundreds of millions of users quickly. You'll enhance features for our consumer and delivery-partner facing app, focusing on Deliveries, but we'll always welcome your fresh ideas. You'll work on one of the largest codebases in Southeast Asia, making an impact.

Get to Know the Role

As Senior Data Scientist, you will build models and services that manage millions of requests daily and develop predictive models to improve dispatch decisions according to market conditions. You will report to the Senior Engineering Manager. This role is based onsite in Singapore.

The Critical Tasks You Will Perform

• Design and fine-tune the systems using machine learning algorithms based on the product requirement. You will choose appropriate algorithms, preparing and cleaning data, training and testing models, and optimising their performance.
• Design and implement A/B test. Generating training datasets for ML models and collecting feedback from the A/B experiments.
• Lead the CI/CD deployment pipelines.
• Develop data related APIs for application integration.
• Collaborate with other team members and engineers.

Qualifications

What Essential Skills You Will Need

• At least 3 years of industrial data science experience, with expertise in machine learning and statistical modelling.
• Programming skills in languages such as Python, Java and R.
• Experience with machine learning libraries and frameworks such as TensorFlow, PyTorchetc.
• The knows how to and loves to build recommendation models
• The ability to write production ready code
• Experience with statistical concepts and machine learning algorithms.
• Experience with data wrangling, cleaning, and analysis.

Get to Know the Team

When you’re an engineer at Grab, you'll help shape the heart and soul of the company. Our team's mission is to create amazing services and tools that impact hundreds of millions of consumers, driving partners, and fellow Grabbers every day.

The applications we develop are core to our business. Your contributions will touch millions of lives, and you'll be recognised when you exceed our high expectations. You'll work in an international team of experienced developers who prioritise quality and new ideas. In our agile, test-driven development environment, you'll not only build new features and platforms but also evaluate the latest in mobile technology.

We're constantly improving our food delivery and supermarket platforms, handling tens of millions of bookings daily. New code reaches hundreds of millions of users quickly. You'll enhance features for our consumer and delivery-partner facing app, focusing on Deliveries, but we'll always welcome your fresh ideas. You'll work on one of the largest codebases in Southeast Asia, making an impact.

Get to Know the Role

We are looking for individuals with experience working within distributed environments to join our big data engineering group. You will report to the Senior Engineering Manager and be based onsite in Singapore. You will automate multiple big data flows, performance engineering, and building the internal big data pipeline platform to maintain the quality of our critical data. We offer the opportunity to work with a world-class engineering team managing petabytes of data in Southeast Asia.

The Critical Tasks You Will Perform

• Design the data warehouse schema in Bigquery and also be able to write code to process data from heterogeneous sources like APIs, PubSub, Transactional Databases.
• Lead, design, develop and manage data pipelines on the data ecosystem.
• Be hands on development in designing and developing ETL/ELT processes to ingest data into the data warehouse with focus on data quality and profiling.
• Participate in collaborations in external and team members and build SLAs.
• Take ownership of not just the Data Platform but also building the right
• Practise to lead the way forward for the team.
• Collaborate across teams and translate the requirements into actual workable
• Technical solutions.
• Ensure data quality and governance and participate in code reviews with focus on high quality technical documentation.

Qualifications

What Essential Skills You Will Need

• Bachelors/Masters in mathematics, computer science or other related quantitative discipline.
• 5+ years experience in data engineering roles.
• Familiarity with Hadoop, Hive, HBase, Spark, Flink, Airflow, Kafka, and Cloud software such as
• Redshift, EMR, BigQuery, Dataflow, Cloud Composer, BigTable, PubSub etc.
• Exposure to big data solutions from various data sources such as AWS, GCP, Microsoft Azure, Alibaba Cloud.
• Familiar with CI/CD and automating the deployments from dev to staging to production
• platforms.
• Experience with Data Warehouse concepts - Fact/Dimension Tables, CDC, SCD,
• partitioning and bucketing strategies.
• Proficient in writing complex SQLs, and experience in at least anyone of Java/Python/Golang.
• Experience in Metadata management, data discovery and creating data lineages.
• High personal code/development standards (peer testing, unit testing, documentation, etc).

Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

About the role:

As a Data Engineering Intern at Rapsodo, you’ll play an essential role in building and optimizing the data infrastructure that powers decision-making and innovation throughout our organization. This role is ideal for students passionate about data engineering, with a foundational knowledge of data analytics to support meaningful insights. You’ll gain hands-on experience with cutting-edge technologies, applying your skills to bridge data engineering and analytics, and making an impact on projects in sports technology and business strategy.

Key Responsibilities:

· Participate in the design, development, and maintenance of Rapsodo’s data systems, using tools like Google BigQuery, Kafka, and GCP Pub/Sub.

· Support data ingestion, processing, and ETL (Extract, Transform, Load) processes to deliver reliable data for analytics teams.

· Collaborate with data analysts and scientists to ensure clean, structured data is available for analysis, reporting, and visualization.

· Assist in the setup and monitoring of real-time data pipelines, learning to identify ways to streamline data ingestion and reduce latency.

· Work on data collection, cleaning, and preprocessing, preparing data for analytics and helping generate insights for diverse projects.

· Collaborate with the team to troubleshoot and improve data pipeline and infrastructure efficiency.

· Create basic reports, dashboards, and visualizations with tools like Tableau or Power BI, conveying valuable insights to business stakeholders.

Requirements:

· Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field.

· Knowledge of SQL and familiarity with Google BigQuery or other data warehousing solutions.

· Exposure to programming languages such as Python or R and experience with data manipulation, cleaning, and preprocessing techniques.

· Interest in or exposure to data streaming technologies (e.g., Kafka, GCP Pub/Sub) and ETL development.

· Basic understanding of statistical analysis and hypothesis testing to support data-driven insights.

· Experience with data visualization tools (e.g., Apache Superset, Tableau, Power BI, or Matplotlib) is a plus.

· Excellent written and verbal communication skills.

· Strong analytical skills, attention to detail, and problem-solving abilities.

· Strong interpersonal skills to collaborate effectively with cross-functional teams and stakeholders.

· An inquisitive mindset, coupled with a desire for continuous learning and growth.

Get to Know the Team

The ACE (Deliveries, OmniCommerce) Analytics team is the analytics and data powerhouse behind Grab's fastest-growing segments: GrabFood, GrabMart, GrabExpress and OmniCommerce. Here, innovation meets action. We're not just a team; we're trailblazers, committed to solving the most pressing challenges for our consumers, driver-partners, and merchant-partners leveraging data. From revolutionizing the consumer order experience to enhancing platform reliability, we strive to make Grab the first choice, every time.

Get to Know the Role

This role is focused on leading analytical thinking for Chope, our most recent acquisition in the OmniCommerce space. Chope provides a suite of solutions for both consumers and merchants to manage their in-store dining. You will report to the Senior Analytics Manager, OmniCommerce and you'll have the unique opportunity to collaborate across disciplines (Product, Business, Engineering, Design, Data Science) to transform data into dynamic solutions. Your insights will directly contribute to developing groundbreaking products and initiatives, setting new benchmarks for excellence. This isn't just any role; it's a chance to make a tangible impact on millions of lives every day.

The Critical Tasks You Will Perform

• You will innovate: Propose cutting-edge product ideas by diving deep into data, addressing the most pressing customer challenges.
• You will illuminate: Use your mastery of data to uncover trends, decode anomalies, and tell compelling stories that inspire action.
• You will Influence: Collaborate with stakeholders to define key metrics and design experiments that shape the future of our products.
• You will drive impact: Drive significant improvements across our platforms, enhancing user experience, and contributing to our mission of excellence.

Qualifications

What Essential Skills You Will Need

• You have at least 6 years in data-related or quantitative fields, with experience within D2C or B2C context such as Marketplaces, ECommerce, OmniCommerce, Retail Marketing Analytics, etc.
• You have the ability to help solve complex problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems. Propose novel solutions that go beyond common practice
• You are able influence across your team and cross-functional teams. You should also be able to effectively convince senior stakeholders.
• You have exceptional skills in data visualization and storytelling. You should be adept at creating intuitive and impactful dashboards using PowerBI or Tableau.
• You are fluent in SQL, Python, R, or other scripting/programming languages, you're a problem-solver at heart. Your comfort with very large datasets and complex ETL processes sets you apart.

Primary Purpose

Reporting to the Senior Manager, Supply Chain SMO/COE, the Master Data Quality & Governance Manager plays a vital role in ensuring the accuracy and integrity of master data and will be responsible for overseeing and implementing data governance strategies, policies, practices, and processes across the Asia Pacific region. This role is also responsible for collaborating with APAC business stakeholders to understand their data needs and requirements and ensuring data quality standards, processes and procedures align with business objectives, and providing training and support to business stakeholders on data quality best practices.

Develop and Implement Data Governance Framework:

o Design and establish a comprehensive data governance framework across the Asia Pacific region.

o In partnership with Global Data Governance teams define data governance policies, procedures, and standards to ensure consistent and accurate data management practices.

o Collaborate with stakeholders to gain buy-in and support for the data governance initiatives.

Data Stewardship and Ownership:

o Establish data quality rules, monitor data compliance, and resolve data-related issues.

o Ensure data ownership and accountability by establishing data governance and execution roles and responsibilities.

o Drive continuous improvement by monitoring data governance performance and identifying opportunities for enhancement.

o Conduct regular data audits and assessments to identify gaps and recommend corrective actions.

o Collaborate with cross-functional teams, including IT, finance, operations, privacy and legal to ensure alignment and compliance with data governance initiatives.

o Engage with global stakeholders to share best practices, leverage synergies, and contribute to the overall data governance strategy.

Training and Awareness:

o Develop training programs and materials to educate employees on data governance policies, procedures, and best practices.

o Raise awareness of the importance of data governance and its impact on business operations and decision-making.

o Provide guidance and support to business units in implementing data governance practices effectively.

o Act as a subject matter expert, providing guidance and support to stakeholders on data governance-related matters.

Inherent Requirements

Formal Qualifications

Bachelor's in information management, computer science, business administration, or a related field.

Key Skills / Core Competencies

• Strategic thinking ability, as well as detailed analytical and problem-solving skills
• Strong communication and relationship building skills to collaborate cross functionally with internal partners and external customers.
• Comfort in managing relationships with senior leadership.
• Strong entrepreneurial, customer service orientation.
• Ability to effectively prioritize, execute tasks and manage deadlines in a high-pressure environment.
• Good written, oral, and interpersonal communication skills.
• An ability to work well in an ambiguous environment with minimum supervision.
• Strong professional presence and business acumen.
• Innovative, proactive, and flexible to change.
• Self-motivation and a strong sense of ownership and accountability
• Exposure to process improvement methodologies with Lean Six sigma Green or Black belt an advantage

Experience

• Proven experience in data governance, data management, or related roles, preferably within a multinational organization operating in the Asia Pacific region.
• In-depth knowledge of data governance frameworks, principles, and best practices.
• Strong understanding of data quality management, data privacy regulations, and data-related compliance requirements.
• Demonstrable experience leading process change
• Superior vendor management experience
• Demonstrable knowledge and experience in SAP, SFDC, M365, BI and data analysis tools.

SPD Scientific offers a comprehensive range of top-notch laboratory consumables, test-kits reagents, biomedical and laboratory equipment, and a host of microbiology culture media and diagnostic products. The company offers myriad benefits to customers in wide ranging industries, such as F&B sector, pharmaceutical, academic and government research institutions, and healthcare, by providing them the essential tools to assist in their medical research and discoveries.

Currently, we are looking for a Data Management Analyst to join our Team with the following responsibilities:

• Master Data Management: Oversee the global master data lifecycle processes, including the creation, validation, and deactivation of data specific to ERP, and CRM systems.
• Develop and enforce data governance policies and procedures maintained in the respective databases.
• Ensure data quality and integrity across the systems.
• Participate in cross-functional collaboration to support business requests.
• Suggest or support process improvements and best practices in relation to Data Management.
• Conduct regular data audits and quality assessments of the databases.
• Provide training and support to staff on data management practices.
• Resolve data-related issues and discrepancies within the systems.
• Maintain documentation for data management processes and policies.
• Able to translate business requirements into data modelling solutions and data infrastructure.
• Responsible for data migration and data standardisations within the organisations.

Qualifications:

• Bachelor’s degree in Information Technology, Business Administration, or other related fields.
• Minimum of 3-5 years of experience in master data management or a similar role.
• Experience in Microsoft SQL Server and possess advanced SQL queries skill.
• Strong understanding of data governance and data quality principles.
• Proficiency in data management tools and software (e.g., MSSQL Server Management Studio, Power BI, and Excel).
• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Attention to detail and a commitment to data accuracy.

Preferred Qualifications:

• Experience in using RapidStart tools and Configuration Packages for Dynamics Navision and/or Business Central.

Step into a pivotal role within an innovative IT solutions team, where you’ll design and implement tailored solutions that drive client success. You'll assess the financial and commercial impact of technical decisions, collaborate with the sales team to achieve targets, and lead pre-sales and deployment efforts. Engage in deep architectural discussions, shape solution offerings, and ensure smooth implementations that align with clients’ long-term goals and budgets.

YOUR NEW JOB

• Understand the commercial cost/financial/budget impact of products/solutions to be developed & recommend appropriate solutions
• Participate in deep architectural discussions to ensure solutions are designed for successful deployment.
• Design of solution offerings: including services, support, training (classroom, roundtables, webinars).
• Defining Solution Components, Scope of Work, Deliverables, Effort Sizing & Pricing.
• Implementation planning and delivery for Proof Of Concepts (POC), Migration Services & Deployment Services.
• Work closely with Sales team to provide full presales assistance to hit sales targets while adhering to cost-of-sales objectives
• Self-sufficiency in leading pre-sales activities aiming to close sales opportunities.

WHAT IS NEEDED FROM YOU

• 2 years of hands-on experience as a consultant with pre-sales and implementation experience.
• 2 years’ experience in major IT Integration / User Interaction projects involving the whole business process.
• 3 years of solution design and/or hands-on implementation experience as a Systems Engineer.
• Experience in building and migrating applications, software and services.
• Direct experience with Cisco routing/switching, wireless LAN controller, software-defined Network, Load balancer (Netscalers).
• Ability to address, persuade and interact with senior & executive level stakeholders - as well as all levels of system end-users.
• Knowledge of Competitive Products & Technology.
• In-depth knowledge of Implementation methodologies and best practices.
• Fluency in English.

WHAT WILL MAKE YOU STAND OUT

• Wide expertise in ICT field and systems, network, storage, virtualization, and/or security.

Product area

Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.

Job description

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Qualifications

Job responsibilities

• Build out data infrastructure and data pipelines in a secure and privacy compliant manner.
• Work with feature teams to provide reliable data and infrastructure.
• Maintain existing data infrastructure and ensure critical data is available and reliable.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 1 year of experience with software development in one or more programming languages (e.g., Java, C++).

Preferred qualifications

• Experience working with large data and creating and making available data cubes for other teams.
• Experience in optimizing data processing pipelines and data serving.
• Experience with data analysis and visualization tools (e.g., SQL, Colab).

Colorectal cancer (CRC) is the third most common cancer globally. Development of therapeutic strategies targeting novel cell types is the need of the hour for CRC treatment. We are looking for candidates keen on working at the intersection of cancer biology, imaging, spatial omics and computational biology to correlate results from cutting-edge technologies to clinical outcome of colorectal cancer (CRC). They should be comfortable working in a highly collaborative, multidisciplinary environment that includes biologists, imaging technologists, pathologists and medical oncologists. This will be a unique opportunity to work on new data types and ask new questions in the rapidly growing field of spatial multi-omics.

Requirements

• PhD (in final year or thesis submitted) in Life Sciences with expertise in cancer biology, immunology, or related fields
• Experience with analysis and interpretation of single-cell and spatial omics data
• Strong communication skills
• The ability to work closely with clinicians and computational biologists

To apply, please email your CV and names of references to [email protected], [email protected]

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Responsibilities:

Assist operations by performing data entry into system and updating when needed

Willing to learn and familiarise the use of relevent programs and tools

Communicate effectively within the team

Filling of documents

Organise and maintain the use of office common area, being tidy

Maintaining the office equiptment and the supplies needed

Requirements:

Past experience are not required but would be benefitial

Proficient with Microsoft Office, mainly Word & Excel, or willing to learn on the job

COMPANY DESCRIPTION

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

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

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

RESPONSIBILITIES

• Lead and grow the data science practice in Mediacorp, including guiding and mentoring a team of data scientists
• Analyse and translate large amounts of data into meaningful, actionable insights for commercial purposes by applying various machine-learning and deep learning techniques
• Lead, design and implement quantitative analytical models, including forecasting and predictive models, identity graphs, recommendations and various performance optimization initiatives to enhance business outcomes
• Establish internal benchmarks and best practices in data science approaches
• Support product development effort including understanding business needs, documenting data and data integration requirements, and resolving conflicting business/data architecture rules.
• Become an internal authority on Mediacorp's data tools and data science output
• Support ad-hoc data science strategic initiatives

• PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science or related field
• Minimum 10 years hands-on experience in machine learning or advanced analytics, including designing, developing and deploying data science models
• Relevant team management experience will be essential
• Strong technical capabilities. Proven expertise in developing and implementing a full range of analytical techniques to address commercial challenges
• Proficiency in at least one statistical analysis tool
• Proficiency in at least one programming language (preferably Java, C++, Python)
• Critical thinking and problem-solving skills are essential for this role
• Strong written and spoken communication skills
• Able to present findings to internal and external business stakeholders confidently
• Basic knowledge of data engineering principles and architecture

At GXS, we are a digital bank on a mission to make banking better for Singapore’s everyday consumers and small businesses.

We are seeking a visionary leader to head our team of talented and high performing AI professionals, data scientists and MLOps professionals, driving strategic AI initiatives that will help provide innovative financial solutions that are accessible, secure and user friendly. The Head of Artificial Intelligence and Data Science will be responsible for developing and executing the AI and data strategy to support the bank’s business objectives. This role requires a strategic thinker with deep expertise in Generative AI and machine learning. The ideal candidate will have a proven track record of leading high-performing teams, implementing advanced data-driven solutions, and driving innovation in a financial services or tech environment.

Key responsibilities:

• Develop and execute the AI and data science roadmap and strategy aligned with the bank's overall vision and business goals, while articulating the bank-wide value proposition of AI
• Lead and mentor a team of data scientists, GenAI data scientists, and GenAIOps/MLOps engineers to achieve departmental objectives
• Stay abreast of industry trends and advancements in AI and data science to ensure the bank remains at the forefront of innovation and provide thought leadership.
• Oversee and guide the design, development, and deployment of machine learning production models and AI solutions, ensuring the integration of AI and data science initiatives across the business units
• Collaborate with ecosystem partners to understand their data and acquire the optimal datasets for AI and ML solutions.
• Responsible for and has oversight of GenAIOps, which encompasses MLOps, deploying models in production, monitoring model metrics, and managing feature engineering pipelines, with a focus on efficiency, scalability, and meeting SLAs.
• Collaborate with senior stakeholders, business partners and external partners to identify and prioritise AI and data science initiatives that align with business priorities.
• Communicate complex AI and data concepts to non-technical stakeholders, ensuring a clear understanding of potential impacts and benefits to drive culture changes.
• Adopt a product-driven and market-driven mindset to translate technology into business applications.

Qualifications:

• Proven experience in building out AI strategy and implementing an end-to-end roadmap, while managing a team that includes GenAI scientists, data scientists, and GenAIOps/MLOps engineers.
• Master’s or PhD in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Extensive experience in machine learning (supervised, unsupervised and reinforcement learning and deep learning), GenAI, data science and natural language processing.
• Experience in managing senior stakeholders and management, in articulating the value of data to the business.
• Strong experience in showcasing the value of AI solutions
• Product-driven and market-driven mindset, with the ability to translate technology into business applications.
• Entrepreneurial mindset, eager to grow and take on challenges.
• Strong communication and interpersonal skills, with fluency in English and the ability to collaborate in multi-cultural environments.

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 Research Associate (Data Scientist / Artificial Intelligence Specialist) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as for drug discovery in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in advanced machine learning, artificial intelligence, and bioinformatics techniques with practical applications to biological / -omics data. Specifically, he or she will be responsible for data analysis and for developing advanced computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of advanced statistical, and state-of-the-art artificial intelligence and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. clinical, genomics, transcriptomics, proteomics);
2. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
3. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
4. Communicate research findings through publications, presentations, and reports;
5. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

• Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
• Strong programming skills in relevant languages such as R and/or Python;
• Experience with biological data analysis and interpretation;
• Knowledge of biological systems and processes;
• Excellent communication and collaboration skills;
• Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees.

We regret that only shortlisted candidates will be notified.

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 Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences

Qualifications

Qualifications / Discipline:

• PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:

• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong background in statistical modeling and machine learning
• Proven ability to develop and implement complex algorithms
• Excellent written and verbal communication skills
• Capable of conducting independent research and working collaboratively

Experience:

• Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
• Demonstrated experience in developing novel methodologies in representation learning
• Strong record of presenting at international conferences and workshops

Job description

You will be part of the Global Partnerships team, which supports the world’s leading publishers and helps drive accelerated business growth for them through our publisher business growth and platform solutions. The Global Partnerships Sales Engine (GPSE) team is a critical part of driving operational efficiency and scale in support of our publisher business growth and platform solutions. The GPSE team centralizes work away from sales teams so that front-line sales leaders can concentrate their efforts on client-specific activities and continue growing a multi-billion dollar global business. The Global Partnership Sales Engine (GPSE) Team is an integral part of creating efficiency and scale in support of our publisher business growth and platform solutions. The GPSE team is designed to accelerate operational activities and centralize work (e.g. operational activities like reporting, implementation and optimization) away from the sales teams so that they can concentrate their efforts on client-specific activities.

Qualifications

Job responsibilities

• Publish and communicate operational metrics/KPIs with some guidance.
• Contribute to creation of or maintenance of SOPs, process maps, workflow documentation, help resources, and relevant training and certification programs.
• Contribute to tracking and analysis for trends of operational characteristics in process or workflow performance and identify opportunities to improve operational procedures with some guidance (e.g., manage utilization, eliminate non-productive activities, create cross-site efficiencies, influence automation and robotics enhancements).
• Work with partner teams (e.g., service provider teams, internal teams) to set and implement process improvements and changes with some guidance. Define and implement workflow efficiency scoring frameworks to proactively and retroactively identify gaps in execution with some guidance.
• Support Sales users via the menu of services covering Optimization and Troubleshooting support. Maintain high service levels through meeting or exceeding CSAT, timeliness and efficiency goals.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in a customer or client-facing role supporting Account Management, Ad Operations or Project Management.

Preferred qualifications

• 2 years of experience building relationships with stakeholders or clients.
• 2 years of experience analyzing data and generating business insights in order to guide business decisions.
• 2 years of experience in managing vendor and outsourced providers.
• Ability to work with systems tools, such as SAP, homegrown systems, etc.
• Demonstrated analytical ( e.g. understand and analyze large data sets and simplify insights), operational efficiency ( e.g. streamline process flow) and stakeholder management ability.

Job Description & Requirements

Responsibilities:

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

Requirements:

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

Position Overview:

The incumbent manages the systems administration function and leads the organisation's system projects and environments. He/She focuses on setting goals and priorities and on mentoring and coordination as well as providing technical leadership. He/She plans and oversees systems upgrades and migrations and ensures systems are up-to-date with the latest patches and are coherent across the organisation. He/She directs the development and maintenance of technical documentation.

He/She possesses strong leadership and communication abilities, and is able to set realistic goals and implement appropriate plans to guide the team toward achieving those goals. He/She is able to address multi-faceted issues effectively and in a collaborative manner including across departments.

Responsibilities:

Set system administration processes

• Establish goals and priorities, design, planning, day-to-day operation, maintenance, and advanced troubleshooting of systems

• Align system administration with overall strategic IT service direction and business needs

• Assist with the development of business case justifications and cost/benefit analyses for spending and initiatives

• Anticipate internal and/or external business challenges and/or regulatory issues

• Develop policies, procedures, and controls to ensure system security

Develop New Systems

• Partner with stakeholders to recommend innovative and automated approaches for system administration

• Define systems requirements for new technology implementations

• Prepare for system expansion by studying plans and requirements

• Oversee the design, maintenance and implementation of the systems

• Prioritise tasks to ensure projects are implemented in accordance with project plans and budgets

Optimise Systems Performance

• Recommend process, product or service improvements, resource optimisation and cost savings

• Oversee hardware and software upgrades

• Recommend new technologies, methodologies, systems or opportunities for cost savings, security and service quality improvement

Manage Teams

• Oversee team management including budgets, forecasting, work allocations and staffing

• Develop staff through ongoing coaching, mentoring and career discussions

• Define common goals, direction and accountability among staff

• Drive effective performance management practices within department in accordance with company policies and procedures

Requirements / Qualifications

1. Degree in Computer Science, Computer Engineering

2. Experience in developing, implementing and maintaining data projects or analytics systems with at least 8 years of project operation management experience

3. Highly-motivated self-starter who will undertake all activities to the highest professional standards

4. Must be cloud certified. Working experience in IDMC, Databricks, Sagemaker, Tableau with AWS exposure

5. Good in-depth understanding of data warehouse concepts, data profiling, data verification and advanced analytics techniques

6. Experience in managing a team in operations support and project implementation work

7. Certification in IT operation management is preferred