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

Applications are requested for Research Engineer position on climate change, risk assessment of compound droughts and floods using the latest AI techniques and complex network theory under the supervision of Prof. He Xiaogang, Assistant Professor in the Department of Civil and Environmental Engineering at the National University of Singapore (NUS).

Job Requirements

• At least a bachelor degree in civil engineering, hydrology, water resources engineering, optimization, seasonal forecasting, machine learning, or from similar programs.
• Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell.
• Ability to construct and write papers for leading research journals and conferences.
• Good written and spoken communication.
• Open to fixed-term contract.

As an Associate, you’ll be exposed to a diverse scope of work, namely:-

• Cybersecurity assessment – Assess clients’ security posture through the performance of host configuration review against industry benchmarks, vulnerability assessment, penetration testing, architecture review and cybersecurity risk assessment.
• Technology regulatory compliance review – Assess clients’ compliance against the technology regulations such as Singapore Cybersecurity Act and related Cybersecurity Codes of Practice, MAS Technology Risk Management Guidelines, MAS Cyber Hygiene, and more.
• Data privacy / protection – Advise clients on data privacy / protection measures impact through the study of their business and data processes based on data privacy regulations (e.g. Singapore Personal Data Protection Act, General Data Protection Regulation (GDPR)) and best practices.

Required Skills

• Final year students with Science, Technology, Engineering or Mathematics degree, or other degree with specialisation in IT will be considered
• Possess interest in cybersecurity and data protection
• Ability to work both independently and as part of a team
• Strong verbal communication and interpersonal skills

Next Step:

You will receive an email from us to complete pymetrics within 3 working days of your application submission. Pymetrics is a series of engaging online games that will assess cognitive, behavioural and emotional traits. This allows us to learn more about you and gives us insights into where you will thrive the most in our business.

Note:

• Please note we accept only one application per candidate. You may indicate your second preference in the same application. We recommend that you apply to your preferred position that closely aligns with your skills, passions and interests.
• You can indicate another role in the same application form. Duplicate entries will slow down your application with us.
• Kindly upload both your resume and degree audit or transcript in PDF format all under Resume attachment upload
• Kindly note only shortlisted candidates will be contacted.

Got a question? Email to [email protected].

There have been reports of scammers impersonating PwC HR professionals contacting individuals about fraudulent job opportunities using non-PwC domain email addresses and an overseas number. Please note that genuine communications from our HR team will only come from "@pwc.com" email address.

JOB SUMMARY

Standard Chartered Bank has embarked on an ambitious journey to revolutionize the Trade client digital journey by developing several client facing solutions that compete not just with the Financial Institutions but also with the new breed of Fintech companies. The revenue ambitions of the Trade business for 2023 are $1.4B and product & digital integration core to ensuring this vision is delivered and is responsible to drive the Trade data agenda with our corporate and institutional clients.

RESPONSIBILITIES

Strategy

· Responsible and accountable to exploit the value of Trade Finance information assets and its analytics in cooperation with Transaction Banking Product, Digital Channels and Data Analytics (DCDA), Trade Operations and Technology

· Lead strategy and the development of data and analytics products in cooperation with DCDA, Trade & Cash Product Development, Sales, Compliance and other to assure that solutions are aligned to the business strategy, released on time, on budget and with high quality.

· Partner with product engineering heads to develop Data, Analytics and Innovation domain roadmaps, adoption of real time streaming and batch-processing platform/Hadoop platform

· Support implementation of Cloud-based SaaS/PaaS/IaaS offerings for Data Solutions and leverage cloud enabled technologies and toolset for Data and Analytics domain

· Influence Data & AI architecture governance strategy

· The strategy alignment includes following pillars

· Data Strategy (Data Sourcing, Data Quality, Data Visualization & consumption)

· Machine Learning Pipeline / Tool Strategy / Platform Strategy

· Third-Party Platform / in-house Strategy

· Hosting Strategy for Data Analytics (In-House / Cloud Platforms)

· Visualization and Data Democratization (Facilitate the evolution to self-service analytics and data preparation)

Business

· Chief Product Owner for Data Initiatives

· Develop roadmap to accelerate adoption of data analytics, Machine and AI within Trade Finance & working Capital Solutions across various domains incl. Operations, Sales, FCC, Fraud & Credit Risk

· It should include (but not restrict to) prediction solution (e.g. Trade pricing) , recommendation solution (Cluster Analysis, Recommend Trade products to clients based on behaviour/profile), network analytics (Social Network analytics) and anomaly detection (Fraud)

· Exploitation of big data and the liberation of data to the business, using a combination of open source, cloud and various tools and techniques for data analytics, machine learning, mining, and visualization.

· Convert Analytic scope & roadmap into actionable deliverables (incl. User Stories & Verification)

· Leverage of Analytics tools that utilize the data pipeline to provide actionable insights for the business users, operational efficiency

· Increase Business AI understanding to increase adoption and acceptance

· Support business in tracking and monitoring the commercialization process of initiatives

Processes

Innovation

· Application of a broad and current industry perspective on technology trends/opportunities, alternate solution providers, leading practices, and our relative position

· Demonstration of technology thought leadership, foster productive stakeholder relationships, and build strong sponsorship of our technology architecture and roadmap.

· Understanding and influencing Open Account, Documentary Trade and Distribution strategy, ensuring it’s informed by current and emerging technology capability and supported by our architecture and roadmap

· Evaluate vendors to find solution that best fit our functional and technical architecture

· Incubation of various Data, ML & AI solution together with stakeholders from business & operations to constantly search for opportunities to increase sales, optimize processes and mitigate risk.

· Support Strategic Initiatives and Partnerships

People & Talent

· Build and lead data and analytics team for Trade Finance

· Define job roles related to Data Science, recruit candidates (if needed) and manage a team of data and analytics leaders/members

· Develop talent in Data across partners

· Develop a learning environment & learning strategy based on formal training and training on-the-job. Train and upskill team (Data Engineering / Data Scientist / ML Experts / Business Intelligence

· Foster teamwork, respect and collaboration across ITO function, DCDA and other stakeholders

· Foster a culture of innovation. Build the appropriate culture and values to be a role model. Acquire new skills to keep up the system update to date and to align bank wide new initiatives

Data Analytics, Machine Learning & AI Delivery

· Drive and manage the development and deployment of Trade and Working Capital data and analytics platform.

· Incubate and propose innovative solution to business and stakeholders

· Design analytical solutions/experiments to solve various strategic business problems in Trade Finance and Working Capital through engagement and research

· Data squads to manage and deliver the lifecycle of a data science projects across four phases

· Data management & Data sourcing

· Data Engineering & Data Science

· Machine Learning & Analytics

· Data Visualization & Provision of AI microservices endpoints for consumptions

· Develop and communicate data analytics, ML & AI vision that supports the broader organizational vision

· Ensure team culture consistently demonstrates alignment with SCB principles and its aligned to SCB’s business and technology strategy. Influence your team’s technical and business strategy by making insightful contributions to team priorities and approach.

· Own the development, implementation, and delivery of successful large-scale project

· Manage cost effective delivery of data to respective teams which are up-to-date, comprehensive, and easy to consume (incl. data dictionary, feature engineering), which includes big data (structured and unstructured) as well as provision of transactional data

· Take the lead in identifying and solving ambiguous problems, architecture deficiencies, or areas where your team’s software bottlenecks the innovation of other teams. Make solutions simpler and reusable.

· Governance and Responsible AI

· Feedback data and analytics oversight on data governance to executive sponsorship, business, and risk committee (e.g. Sustainability Refinement or NFRC Technology Working group)

· Ensure all regulatory, compliance and internal control requirements are met. Develop and execute plans for QPR approval to mitigate any risk / non-compliances

· Identify and standardize the use and governance of data and analytics in support of the enterprise's business strategy.

· Responsible AI – incl. the governance of data and algorithms used for analysis, analytical applications and automated decision making in TB. Ensure that model used are responsible and explainable. Manage Responsible AI as Business Risk Owner for Trade Finance

· Ensure data quality (DQMF) is applied for data analytics and AI projects

· Adherence to Risk & Data Quality Management Requirements

· Risk and Audit Continuous management of the Trade Application System risk

· Proactively identify issues and actions

· Monitor and remediate issues and actions from audits

· Awareness of the regulatory requirements and ensuring these are catered for in the platform design

· Portfolio Management Planning & Budget

· Identify, prioritize and execute the data and analytic initiatives with clear line of sight to enterprise strategies and business outcomes incl. revenues, cost efficiencies & risk mitigation

· Maintenance of Trade Finance level data, AI & ML technology roadmaps encompassing application and related infrastructure services.

· Delivery within given budget, management of internal and external cost and strive for optimal delivery and sourcing solutions

· Processes & New Ways of Working

· CCIB moved to the New Ways of Working and the delivery is managed in squads lead by the Product Owner and/or augmented by Subject Matter Expert, Business Analysts, Developers, and testers. Therefore, ensure that data, ML & AI solutions is delivered in the spirit of New Ways of Working

· CPO to present and report book of work in QPR/MPR

· Support data refinement session in order to agree on next 90 days deliverables. Manage and support the LuW process for data analytics, ML & AI related enhancements

· Always optimize accuracy & velocity of squads

· Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc

Regulatory & Business Conduct

· Display exemplary conduct and live by the Group’s Values and Code of Conduct.

· Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.

· Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key Stakeholders

· Technology Engineering teams in Trade

· Trade Solution Engineering Team

· Architect

· DCDA

· Product Management Cash, Trade & Working Capital Solutions

· FSCO / Compliance teams

Stakeholder Management

· Coordinate with resources and teams across different locations

· Capability development/mentor team members

Other Responsibilities

· Embed Here for good and Group’s brand and values, Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures; Multiple functions (double hats)

Our Ideal Candidate

· Degree in Software Engineering, IT, Computer Science, or related fields. Degree in computer science, engineering, applied mathematics or have a degree in other related IT fields.

· 10+ years’ experience with a proven track record of working in the product management or channel management functions in Trade Finance/Transaction banking.

· 5+ years of working experience in data ecosystem (Spark, Python/Scala, TensorFlow) with on Data Science, Machine Learning and Artificial Intelligence

· 5+ Experience in Transaction Banking domain; Good Understanding of Trade Finance, Working Capital Solutions and Cash Management

· Experience in working in an agile environment

· Very good understanding of Machine Learning models such as Recurrent Neural Networks, Network Analytics, Regression, Anomaly Detection & Clustering

· Understanding of multiple programming languages, especially related to Data Science (Python, Scala, TensorFlow, R)

· Understanding of distributed platforms Apache Spark, Data Warehouse, Apache Hadoop, Amazon Web Services (AWS), ETL (extra, transform, load), Big data analytic. Data visualization technologies, Data mining of social media data, Risk modelling, Artificial Intelligence

· Related Data Engineer/Analyst certifications are beneficial (e.g. AWS / Azure Solution Architect, IBM Certified Data Engineer, AWS & Azure Machine Learning / AI specialist etc.)

· Comprehensive functional and technical knowledge in Transaction Banking through practical experience in defining and delivering technology solutions

· Current and deep Data and Analytics domain market insights.

· Strongly developed strategic, analytical and communication skills evidenced by experience in formulating strategic scenarios, evaluating trade-offs within a robust commercial framework, developing related financial models and designing practical execution plans.

· Ability to synthesize complex issues/scenarios into easy-to-understand concepts

· Demonstrated analytical ability, problem deconstruction, statistical competency, meticulous analysis skills, data validation, and scientific rigor

· Fluency in a range of statistical data analysis and machine learning

· Effective communication skills

Role Specific Technical Competencies

· Pertinent first-hand experience and a proven track record of working in the product management and development functions in Transaction banking or Data Science

· Good understanding of the product development lifecycle using Agile Methodology and relevant prior experience in drafting vision statements, epics and user stories, use cases documents, solution papers, business workflow documents and high-level design documents.

· Deep understanding of the transaction banking domain with a profound ability to conceive and design end-to-end product flows, define interface requirements, identify relevant operational processes and clearly articulate these flows and processes to the relevant business and technology workgroups.

· Very good understanding of Machine Learning models such as Recurrent Neural Networks, Network Analytics, Regression, Anomaly Detection & Clustering

· Understanding of technology; proven ability to translate technology possibilities and solutions to business / client usage opportunities will be an added advantage.

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 160 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents. And we can't wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we:

· Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do

· Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well

· Be better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

· Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations

· Time-off including annual, parental/maternity (20 weeks), sabbatical (12 weeks maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum

· Flexible working options based around home and office locations, with flexible working patterns

· Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits

· A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning

· Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

· Recruitment assessments - some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

Shifts: 24/7 shifts and support work required;

Flexibility in working hours to accommodate shift work requirements.

Role : Contract

Min 10 + years Experience

Experience with financial institutions or banking systems is a must .

The ideal candidate will utilize their analytical and programming skills to analyze business requirements, design, develop, and implement solutions based on a well-defined software development life cycle (SDLC). The role will involve working on both COBOL and Golang programs, as well as providing support during 24/7 shifts and support work. Flexibility in working hours is essential to meet the demands of the role.

Responsibilities:

• Analyze business requirements and design/develop COBOL and Golang programs.
• Create and execute testing scripts, and support test managers with delivering bug fixes during testing phases (system integration/user acceptance).
• Investigate and troubleshoot testing/production issues, communicating with business partners to identify gaps between requirements and expectations.
• Participate in Agile practices such as sprint planning, daily stand-up meetings, and contribute to sprint retrospectives to improve processes and executions.
• Document changes required in the system.
• Provide 24/7 shifts and support work as necessary, ensuring systems are operational and resolving any issues promptly.
• Maintain flexibility in working hours to accommodate the demands of shift work.

Qualifications:

• Bachelor’s degree in Computer Science, Mathematics, or related field.
• Extensive experience in programming languages including Golang, COBOL.
• Proficiency with mainframe technologies such as CICS, Eztrieve, JCL, DFSORT, MVS, OS/390, TSO/ISPF, IDCAMS, VSAM.
• Prior experience in providing 24/7 shifts and support work is preferred.
• Flexibility in working hours to accommodate shift work requirements.

NTT DATA, a global leader in digital business and IT services, offers a thriving environment for career growth and excellence. Recognized as a "Top Employer 2023" in multiple countries, NTT DATA's commitment to talent acquisition, values, and ethics creates an outstanding workplace. With a diverse community of over 140,000 innovators worldwide, competitive benefits, and a focus on innovation,

NTT DATA empowers employees to drive transformation in cloud, data, and applications. This is an opportunity to join a culture of collaboration, and impactful contributions, whether you're an experienced professional or a recent graduate, on a journey toward a more connected and sustainable future.

COLLECTION, UTILIZATION, AND DISCLOSURE OF PERSONAL DATA: NTT DATA will assess and evaluate your suitability for employment, appointment, or continued engagement within any position within our organization.

Roles and Responsibilities

● Design, develop and maintain models (machine learning / simulation) and optimization methods to support business and operational processes.

● Develop the pipelines to train, validate and deploy these models across various environments.

● Design product experiments and interpret the results yielding impactful conclusions.

● Perform statistical data analysis & visualization to find answers and new insights to important business questions.

● Participate in technical discussions across the team through code reviews, RFC or architecture review sessions.

Requirements

● At least 2 years of experience working as a Data Scientist or an advanced (Masters, PhD) degree in a related field (computer science, statistics / mathematics, operations research, economics, etc).

● Strong knowledge of data science fundamentals and statistics, with experience in data analysis, modelling (machine learning / simulation)and optimization methods such as linear programming.

● Good understanding of experimental design and methodologies such as A/B testing or multi-arm bandits.

● Experience with modern software development practices: version control, refactoring, unit tests.

● Proficient in Python or R, SQL (PostgreSQL preferred).

● Experience applying data science in end-to-end production use cases: from data cleaning, feature engineering through to model training and inference.

Preferred qualifications

● Experience with geospatial analysis.

● Experience with real-time inference.

● Experience with time series forecasting, pricing strategies.

● Hands-on experience with ride-hailing/car-sharing use cases, consumer apps, or adtech/martech use cases.

● Familiar with AWS data analytics services.

● Experience with FastAPI (Python), Flask (Python), or similar.

● Experience with Spark.

● Experience deploying models to production.

Service and Project Engineer

• Working Days: Monday - Friday
• Working Hours: 8.45am to 6.15pm
• Working Location: Island wide (Client Site)
• Office Location: Boon Lay Way
• Salary: $2500 - $3500 + Transport Allowance

Responsibilities

• Planning and scheduling of Project activities
• Service, trouble shoot, installation, commissioning and maintain our range of equipment on sites.
• Provide continuous after sales support such as helping customers identify problems with installed equipment (if any), recommending improved material, machinery or parts for replacement and maintenance.
• Coordination with Customers (mainly PUB/ NEA), Suppliers and Contractors and maintain high standards of professional and personal conduct when interacting with customers
• Continuously improve on own’s knowledge on supplier’s products with the aim to introduce technology that add value to the customers.
• Product training to customers and business partners.
• Maintaining and updating a data base on equipment and spare parts catalogs, protocol manuals, data books, salvaging tools and materials where possible.

Requirement

• Diploma or Degree in any engineering fields
• Prior experience in a similar industry with similar experience with proven track record of success
• Engineering background to understand the drawings and any technical detail in supporting our clients on site
• Class 3 Driving License is a must, company vehicle provided

Penny Hu Yaping (R22111011)

Jobs Alley Pte Ltd (21C0599)

We are seeking a highly skilled and adaptable L2 Systems Engineer to join our team in Singapore. This role requires comprehensive expertise in IT service delivery management, system and application support, and infrastructure monitoring across Windows and Linux environments.

The ideal candidate will thrive in a dynamic environment, capable of handling 24/7 shifts encompassing night, morning, and afternoon schedules

Responsibilities:

• Provide round-the-clock technical support, managing Windows Server 2012 R2 / 2016 / 2019 and Red Hat Linux servers, ensuring seamless operation across diverse environments.
• Execute active directory user and group management, including roles, permissions, and application deployments.
• Administer VMware infrastructure, including VMware ESXi and vCenter, ensuring optimal performance and availability.
• Conduct patch updates and system maintenance on Windows and Red Hat Linux servers, adhering to strict maintenance schedules.
• Monitor and troubleshoot IT infrastructure components, promptly addressing any issues to minimize downtime.

24/7 Support: Be available for flexible hours and support to maintain 24/7 server environments on weekends .

Requirements:

• Bachelor's degree in Computer Science or related field.
• Minimum of 6 years of professional experience in IT support services delivery.
• Extensive knowledge of Windows and Linux operating systems, with proficiency in UNIX, Solaris, Red Hat, CentOS, and Windows Server.
• Hands-on experience with virtualization technologies, including VMware vSphere and Oracle VM VirtualBox.
• Strong scripting skills using Bash Shell Script, with proficiency in automation and orchestration.
• Familiarity with database administration, particularly MySQL and Oracle.
• Expertise in ITSM tools such as ServiceNow, Cherwell Service Management, and JIRA Service Management.
• Proven track record in managing IT infrastructure, security, and project delivery execution, with specific experience in Government Private Cloud (GPC) operations.( must have )

NTT DATA, a global leader in digital business and IT services, offers a thriving environment for career growth and excellence. Recognized as a "Top Employer 2023" in multiple countries, NTT DATA's commitment to talent acquisition, values, and ethics creates an outstanding workplace. With a diverse community of over 140,000 innovators worldwide, competitive benefits, and a focus on innovation,

NTT DATA empowers employees to drive transformation in cloud, data, and applications. This is an opportunity to join a culture of collaboration, and impactful contributions, whether you're an experienced professional or a recent graduate, on a journey toward a more connected and sustainable future.

COLLECTION, UTILIZATION, AND DISCLOSURE OF PERSONAL DATA: NTT DATA will assess and evaluate your suitability for employment, appointment, or continued engagement within any position within our organization.

Responsibilities:

• Perform full life-cycle of development activities, including coding , testing and other tasks required by the wider project team
• Data capture from edge devices and visualize the data using tools like Grafana which are part of the predefined framework
• Develop and test the code using languages like python, java.
• Data capture or developing adaptors for pulling data from different control systems

Requirements:

• Diploma /Degree in Software Engineering
• At least 3-5 years in Java/Python Software development experience and has worked in an Agile development methodology
• At least 1-2 Year Experience – Developing code for data related projects using python
• Strong background in Programming ( Java , Python)
• At least used one source repository like Git during his project
• Experience in working with Linux and windows operating systems
Good understanding of building automation protocols like modbus, Zigbee
Enthusiasm and passion in developing software.

Interested candidates are requested to send their resumes to [email protected]

About the Project

If the lifeblood of the digital economy is data, its heart is digital trust—the level of confidence in people, processes, and technology to build a secure digital world. Companies, regulators, and consumers need fresh mechanisms to build confidence as they address emerging challenges in business, risk management, and compliance.

Responsibilities:

As an Associate, you’ll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution.

You’ll be a part of an environment that broadens your functional training, personal and technical skills, and deepens your knowledge of client services. You will play an integral role supporting staff as needed for an outstanding variety of work and making contributions to the team on a daily basis.

• Perform work across diverse industries and projects ranging from developing organisational strategies for analytics to building sophisticated data architectures and analytical models
• Analyse and interpret large volumes of data from client data systems and external sources using proprietary and open source data tools, platforms and analytical tool kits
• Translate complex findings into simple language and communicate them to internal and external stakeholders, such as your team members and clients executives
• Deliver excellent client service and work from both the PwC Singapore office and at client sites

Requirements:

Below are the attributes and skills we look for in candidates, but don’t be discouraged if you don’t possess all or even most of them. We would still love to talk to you about joining our team.

• Final year Actuarial Science, Business Analytics, Computer Science, Computer Engineering, Economics, Engineering, Information Systems, Sciences, Mathematics, Statistics, Physic or other related disciplines that possesses an analytical and quantitative component student from local and overseas universities
• Strong preference for basic competency in two or more of the following:-
  an analytical software (e.g. R, SAS)
  a data visualisation tool (e.g. Qlikview, Tableau, PowerBI,)
  a relational or graph database management tool (e.g. SQL, NoSQL, Neo4J)
  programming. (e.g. VBA, C++, Java, Python)
  distributed architectures (e.g. HDFS, Mapreduce, Sqoop, Flume, Kafka, Pig, Hive)
• A self-driven learner with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
• An appreciation for structured methodical research, critical thinking and problem-solving skills with an understanding for the application of these skills in the business environment
• A natural curiosity to identify, investigate and explain trends and patterns in data
• An ability to analyse and break down complex concepts and technical findings into clear and simple language for communication to team members and clients
• A passion for Emerging Technologies related to Big Data, Machine Learning and AI

Next Step:

You will receive an email from us to complete pymetrics within 3 working days of your application submission. Pymetrics is a series of engaging online games that will assess cognitive, behavioural and emotional traits. This allows us to learn more about you and gives us insights into where you will thrive the most in our business.

Note:

• Please note we accept only one application per candidate. You may indicate your second preference in the same application. We recommend that you apply to your preferred position that closely aligns with your skills, passions and interests.
• You can indicate another role in the same application form. Duplicate entries will slow down your application with us.
• Kindly upload both your resume and degree audit or transcript in PDF format all under Resume attachment upload
• Kindly note only shortlisted candidates will be contacted.

Got a question? Email to [email protected].

There have been reports of scammers impersonating PwC HR professionals contacting individuals about fraudulent job opportunities using non-PwC domain email addresses and an overseas number. Please note that genuine communications from our HR team will only come from "@pwc.com" email address.

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs.

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements.

• Coordinate interviews between candidates and clients

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

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.

ADDITIONAL JOB DESCRIPTION

As a Data Center Technician, you will deploy and maintain Google's Data Center Server and Network Infrastructure by installing, configuring, testing, troubleshooting, and repairing hardware and server software. You will also take on the configuration of more complex components (e.g., networks, routers, bridges, and switches). You will participate in or lead local project teams on larger installations and develop project contingency plans.

In this role, you will ensure our goals, missions, and projects are delivered across our global array of data centers. You will move and install equipment, and work with infrastructure to ensure Google Data Center quality and reliability.

Qualifications

JOB RESPONSIBILITIES

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Assist in deploying, repairing, and troubleshooting next generation machine learning platforms, providing feedback to local deployment/project teams.
• 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 large-scale networking gear.
• Configure and troubleshoot Linux OS related issues.

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• Experience with data centers, networking, communication, hardware, technical troubleshooting, operating systems, teamwork, scripting, and Python.

PREFERRED QUALIFICATIONS

• Experience working with and troubleshooting hardware or network related issues using Linux-based tools.
• Experience working within a data center or networking operation center environment.
• Experience with maintenance and monitoring of server systems.
• Knowledge of advanced Networking, topology, and protocol.
• Ability to communicate in English fluently in order to effectively communicate with representatives.

• Generating data to establish a basis for analyzing sales and fostering market growth through the utilization of Microsoft and SAP software.
• Responsible for promotional initiatives, generating leads, and contributing to the development of sales strategies.

Requirements:

• Degree in Marketing or equivalent.
• At least 2 years of relevant experience.
• Proficient in Microsoft Excel.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R24120303

Key Responsibilities:

• Data Analysis & Modeling: Apply advanced statistical techniques and machine learning algorithms to analyze large datasets, identifying trends, anomalies, and opportunities for improvement.
• Predictive Analytics: Develop and implement predictive models to forecast viewer preferences, subscription churn, and content performance, contributing to strategic planning and decision making.
• Recommendation Algorithms: Enhance and refine our content recommendation engine to personalize user experiences, increase viewer engagement, and maximize content consumption.
• A/B Testing: Design and execute A/B tests to evaluate the impact of changes in our platform, analyzing results to inform product development and content strategies.
• Collaboration: Work closely with product managers, engineers, and marketing teams to integrate data-driven insights into product features, marketing campaigns, and strategic initiatives.
• Data Visualization: Create compelling visualizations and dashboards to communicate findings and recommendations to stakeholders across the organization.
• Research & Development: Stay abreast of the latest developments in data science, machine learning, and artificial intelligence, exploring new technologies and methodologies to drive innovation.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Minimum of 3 years of experience in a data science role, preferably within the tech or entertainment industry.
• Proficiency in data manipulation and analysis using Python, R, SaS, or similar programming languages.
• Experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and statistical modeling.
• Strong knowledge of SQL and preferable experience with big data technologies (e.g., Hadoop, Spark).
• Experience in developing and deploying recommendation systems, predictive models, and conducting A/B tests.
• Excellent data visualization skills and experience with tools such as Tableau, Power BI, or similar.

------------- Send me your resume via WhatsApp ❤ WhatsApp: (https://api.whatsapp.com/send?phone=6592377799)

I regret to share that only shortlisted candidates will be notified. www.dadaconsultants.com EA Registration Number: R22108564 Data provided is for recruitment purposes only Business Registration Number: 201735941W. Licence Number: 18S9037