Total 18 data entry job vacancies in d19 serangoon garden hougang sengkang punggol

Job Description:

• As a key member of HR payroll and data management team, you will ensure accuracy, consistency and standardization of HR processes to ensure efficient administration of all HR activities that complies with company’s policies and government legislations.
• You will work proactively in partnership with key stakeholders to deliver end-to-end processing of employee data, keep proper documentation and records, and administer the staff compensation and benefits.
• In addition to the day-to-day operations, this role will identify and streamline the HR processes and develop a centralized shared service unit at the group level to drive quality HR services (covering full employee lifecycle) to employees in a large organization.
• There will be projects centered around HR system enhancements in SuccessFactors, BIPO Payroll, Leave and Attendance Management for you to hone your project management skills and develop yourself to be the subject matter expert on the deployment of HRIS.

Job Requirements:

• Minimum 2 years or more relevant HR Shared Service Experience.
• Diploma/Degree in Business Administration, Human Resources, Psychology or related.
• Hands-on experience on SuccessFactors is a pre-requisite.
• Knowledge on Payroll administration is an advantage.
• Proficient in Microsoft Office applications.
• Prior experience in HR shared services environment with a large organization is preferred.
• Highly self-motivated, committed and resourceful; with initiative and drive to deliver organized and meticulous work.

About Sembcorp Industries

Sembcorp Industries (Sembcorp) is a leading energy and urban solutions provider, led by its purpose to drive energy transition.

Headquartered in Singapore, Sembcorp delivers sustainable solutions to support energy transition and urban development by leveraging its sector expertise and global track record.

Sembcorp has a balanced energy portfolio of 21.2GW, with 14.4GW of gross renewable energy capacity across 10 countries*.

Its urban development projects span over 14,000 hectares across Asia and have generated over 377,000 employment opportunities and attracted close to US$50 billion of investment capital.

Sembcorp is listed on the main board of the Singapore Exchange. It is a constituent stock of FTSE Russell Index, MSCI Singapore Index, Straits Times Index as well as sustainability indices including FTSE4Good Index, iEdge SG ESG indices and several MSCI ESG indices.

For more information, please visit www.sembcorp.com.

PURPOSE AND SCOPE

The Data Analyst role is positioned to tap on the vast amounts of data available at Sembcorp Solar to better guide the organization in optimizing its operational and business processes. The role will reside within the Business Excellence Unit and will work on cross-functional projects.

KEY ROLES AND RESPONSIBILITIES

• Work with various departments within Sembcorp Solar to propose, develop and maintain automated data collection systems and pipelines across reporting lines.
• Provide stakeholders with accurate and relevant information through data-driven reports, visualizations, and presentations.
• Assist to identify and solve complex business problems by interpreting data trends and patterns.
• Develop statistical models and forecasts to support business planning.
• Continuously evaluate and refine existing data processes and methodologies to enhance data quality, integrity, and efficiency.

QUALIFICATIONS & EXPERIENCE

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics, or related fields.
• Demonstrable experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn in Python.
• Experience in data cleaning, transformation, and integration
• Experience working in cross-functional teams and collaborating with stakeholders from different departments.
• Proficiency in analyzing large datasets to extract meaningful insights.
• Knowledge of geospatial analysis and data-warehousing concepts can be advantageous.

SKILLS/COMPETENCIES & PREFERRED CHARACTERISTICS

• Understanding of statistical methods and concepts such as hypothesis testing, regression analysis, clustering, and classification techniques.
• Ability to use statistical methods and tools to interpret data and solve analytical problems.
• Ability to understand business requirements, translate them into analytical tasks, and provide actionable insights to stakeholders.
• Capability to identify problems and develop creative solutions using data-driven techniques.
• Effective communication of findings through reports, presentations, and visualizations to both technical and non-technical audiences.
• Thoroughness in data analysis and ensuring data quality and accuracy in findings and reports.
• Familiarity with specific industry trends and metrics relevant to the solar PV industry can be advantageous.

Fresh graduates are welcome to apply. Candidates will be expected to share about projects previously delivered.

At Sembcorp, our shared corporate behaviors underpin all the work that we do in building a sustainable future:

• Institution-first Mindset – Put the interest of the Group ahead of individual interests.
• Collaboration – Deliver through collaborating across markets, businesses and functions.
• Accountability – Hold team and self accountable to deliver on our commitments.

Responsibilities:

• Collect, clean, and transform large datasets for analysis. This may involve working with programming languages such as, SQL, R/Python, JavaScript, etc. to create automated data processing flow. Codes should be clean and well-documented.
• Design, develop, and maintain dashboards and interactive visualisations for data exploration to help end-users make informed data-driven decisions. This includes using analytical tools such as Microsoft Excel, PowerBI, ZOHO and/or Tableau.
• Manage data quality assurance processes to ensure data accuracy and consistency.
• Develop and implement data governance policies and standard operating procedures (SOP) and conduct ad-hoc analysis to answer specific business questions and address challenges.
• Collaborate with stakeholders to define business requirements and translate them into analytical tasks and present analytical findings and recommendations to stakeholders.
• Stay up to date with emerging technologies and tools in the data analytics space and evaluate how they can be used to improve the company's analytics platform and services.

Requirements:

• Degree or Diploma in Computer Science with min 3 years of experience in related field
• Customer-first mentality with a high dose of empathy and passion for the Built Environment,familiarity with IoT (Internet-of-Things) devices and their data streams.
• Familiarity with version control systems (GIT and others), CI/CD practices, testing and migration tools for database and software and understanding of A1 Modelling.
• Experience working with APIs and SQL databases.
• Familar with tools such as PowerShell, Apache Spark, PySpark, etc.

https://www.handsfreetravel.com/

Your responsibilities

• Identify and analyze existing products and strategies in order to create innovative business approaches and opportunities.
• Monitor industry trends, competitive landscape, and product design and development in the marketplace to help create innovative product ideas.
• Work with cross-functional teams such as engineering and marketing to transform creative ideas into functional, saleable products and services.
• Conceive new and improved features by working closely with customer-focused teams to understand customer needs and transform them into product initiatives.
• Develop product roadmaps and manage the whole product lifecycle: from inception and prioritizing new features to final delivery.
• Regularly conduct feasibility studies and market research on potential product releases.
• Track metrics post-launch, to ensure products are delivering against key performance indicators.
• Make strategic and data driven decisions to prioritize certain product features over others and adjust as necessary.
• Deep strategic analysis to answer core questions such as: How can we help advertisers see better performance? Why do SMB advertisers churn? Who should our target audience be?
• Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement and investment.
• Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.
• Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric.

What you'll need to succeed

• Proven experience as a Product Manager (at least 5 years related working experience), with a track record of managing all aspects of a successful product throughout its lifecycle.
• Understanding in software development knowledge, can communicate well with customers and development
• Ability to analyze data and iteratively optimize products based on data
• Ability to create and deliver presentations tailored to the audience needs.
• Strong problem-solving skills, coupled with effective communication and adept decision-making capabilities.
• Good project management skills with the ability to balance multiple concurrent projects.
• Experience with driving the product vision, go-to-market strategy and design discussions.
• Bachelor's degree in a relevant field.
• 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
• Strong background in statistics, machine learning, and/or experimentation
• Domain knowledge in advertising and product development.

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

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.

The resources will have the below qualifications:

• Required skills include 3+ years of experience in the implementation, maintenance and analysis of data center facilities, hardware, communications infrastructure, strategies, tools and effective troubleshooting techniques.
• Basic background on enterprise data center facilities and infrastructure environments such as PDUs, RPPs, network and SAN infrastructures. In depth knowledge on complex, Enterprise class inter-networked environments involving a combination of switched/routed/shared Ethernet, TwinAx (100GigE, 25GigE,10GigE, GigE, 100M, and 10M), token ring, SAN, and wide area connectivity.
• Strong knowledge of WAN technologies (OC-x, DS-x), subnetting and TCP/IP protocol a must.
• Knowledge of trouble ticketing systems, change control, Project processes and associated tools.
• Logical problem- solving techniques and associated experience in system, data center facilities, and telecommunications.
• Experience with project management.
• Financial Services industry knowledge a plus.

Interested candidates, please send over your resume to [email protected]

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

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

Your job responsibilities include:

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

Requirements

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

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

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Fellow should possess relevant experience and will be conducting research on Data Security for LLM systems and work on Formal Methods Agents based on LLM.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and good publication record
• Strong programming skills

Manage Data Center facility including;

• Lighting check
• Airflow check
• Ensure racks are lock
• Ensure no condensation
• Door access are in operation
• Emergency exit path is obstruction free
• No safety hazard
• Coordinate with vendor requesting to access the Data Center for any repair, upgrade, or installation of equipment.
• Daily Routine DC healthy check (Such as temperature, humility, power, server, and network switch).
• Respond to Data Center incident such as power trip, fire alarm, water leak, high temperature etc and escalate or report to relevant party/personnel.
• Cabling and troubleshooting the networking cable.
• Monitoring of Server and Network availability status.
• Monitoring of server antivirus definition ensuring up to date and escalation if not so.

Monitoring of status of Data Center with DCIM.

Requirement:

• Must have minimum 2 years working experience as Data Center Operator.
• Please ensure that the contractor will be open to support 24x7 – 12 hours shift duty when required.
• Candidate is agreeable to enter construction environment site and follow the safety protocol (i.e. wearing safety, helmet, vest and shoe) when entering the site.
  *It will be a daily task (or as required) to enter the site.
• Candidate is agreeable to take Measles and Diphtheria vaccine.

Summary:

• Semiconductor, cleanroom
• Gross up to 3k+ with allowances and OT
• Guaranteed AWS
• Performance bonus
• Increment after probation (subject to performance)
• Completion bonus (1 year)
• Location: Kranji
• Work week: 4/3/4/3 (12 hours shift)

Key Responsibilities:

• Perform robot PM: parts cleaning & greasing, replacement of sensors, motors, motor drivers etc
• Installation of vacuum valves, fore line pipes, heater jackets
• Support tool owner engineer to do technical activities in fab: trouble shoot, modification, installation, de-installation
• Support 6S & logistic activities (parts cleaning, arrangement, label-ling, housekeeping
• Other related ad hoc duties

Key Requirements:

• Min Nitec in engineering
• No experience welcome to apply!

Interested applicants, please submit your updated resume in MS Words format by using the APPLY NOW BUTTON.

By submitting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

Please be notified that only shortlisted candidates will be notified.

Your recruiter for this job: Stella

WhatsApp me @ 8772 4117 for a prompt response to your enquiry!

Stella Aw Yong See Hui | R24121552

Recruit Now Singapore Pte Ltd | EA No: 21C0845

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:

• Provide Level 2/3 network operations support
• Respond to incident calls and ensure the SLA to our clients is met
• Perform changes to the network in-line with the organization’s Change Management processes
• Ensure compliance to policies, processes and standards, both internal and clients’ organization
• Prepare network analysis reports, including findings with analysis
• Participate in regular operations review meetings, including operational issues, tickets review etc
• Participate in projects/activities to support improvement initiatives
• Conduct proper handover from the project team to operations after commissioning of projects.
• Conduct internal training and/or knowledge transfer to team.
• Update operations documentation (technical, CMDB, etc).

Requirements:

• At least 3 years of experience providing network operational and administration supporting Cisco products (Routers / Switches/WLAN)
• Diploma or Degree in Engineering, IT or its related field.
• Minimum Cisco CCNP certification
• In-depth knowledge of network routing and switching technologies and protocols
• Knowledge of network security, load balancing and optimization technologies
• Experience working with Cisco ACI, Bluecoat Proxy, F5 Load Balancer, Palo Alto or Checkpoint firewall is preferred.
• Ability to work in a multi-cultural team
• Good communication skills both written and verbal.
• Ability to prioritise work & multitask
• Analytical and possess good troubleshooting skills.
• Willing to work in extended hours and perform standby duty after office hour
• Experience in network automation via scripting (e.g. Python, Ruby) or tools (e.g. Ansible, Algosec, Chef)

The candidate will have opportunities to work on exciting projects/deals in the fast-growing data centre industry, seeing through the entire project life cycle from inception to execution. He/she will be part of a team that works closely together to identify, source, negotiate and execute business opportunities in both new and existing markets.

As part of Keppel Group’s drive towards advancing sustainable development, the candidate will also have opportunities to be involved in the development and implementation of sustainable solutions in the data centre space.

This role will report to the Head of Business & Programme Development and is based in Singapore.

Job Description:

• Drives data centre development projects in Singapore and overseas
• Actively contribute and participate in driving/co-driving key strategic initiatives and in developing business or investment cases (including but not limited to new market entry, partnerships, decarbonisation/renewables etc)
• Provide overall support for an innovative and sustainable data centre campus development in Singapore
• Involve in sustainability efforts to decarbonize new and existing data centres, including working with renewable energy and low carbon energy providers
• Support end-to-end investment process, including origination, deal evaluation, commercial viability, financial analysis and modelling, negotiations, due diligence, and execution
• Conduct market research / scanning and be up to date with industry developments in key identified markets
• Prepare briefing papers and presentations materials for management, potential partners and customers
• Mentor and guide junior team members where necessary
• Support ad-hoc initiatives as required

Job Requirements

• Bachelor’s degree in Business, Accounting, Economics, Corporate Finance, Real Estate, Environmental Engineering or equivalent
• Minimum 8 to 12 years relevant working experience in business development, real estate, infrastructure, investment banking, renewables, or M&A. Experience in data centres or energy-related industries is a plus.
• Good business acumen to be able to negotiate and structure deals. Demonstrated ability to engage senior stakeholders.
• Able to work independently in a fast-paced environment, driving and executing initiatives under pressure and tight deadlines.
• Ability to conduct financial, commercial and risk analyses of business opportunities.
• Good communication and writing skills. Competent in MS Word, Excel and PowerPoint
• Enthusiastic learner who is independent, self-motivated and proactive, yet also an effective team player
• Willing to travel as required

The Senior Client Success Specialist is an advanced subject matter expert, responsible for building and maintaining the client relationship to drive value for the client and increased lifetime value for the organization.

This role is responsible for multiple medium-to-large or diverse (multi-service) contracts for larger clients. As the primary post-sale point of contact for clients they drive client-facing activity through the Client Success Management Charters of Adoption, Expansion and Renewal.

Acting as the clients’ trusted advisor they help the client realize value from their relationship with the organization and ensure the client’s relationship experience is a positive one.

This role is required to work in partnership with sales and client/service delivery management teams to deliver in-contract growth and a successful on-time renewal as the primary customer contact point.

Core Duties and Responsibilities

Client Nurture / Relationship -

• Develops and maintains the relationship with client representatives to Management level, being recognized as the client’s ‘trusted advisor’ through periodic engagements
• Coordination of new client on-boarding responsibilities, including set-up of the client onto the Client Portals (plus other associated activities).
• Ensures the client can interact successfully with the company and to optimize the engagement (measurable through improving CSAT).
• Preparation and implementation of weekly/monthly/quarterly/bi-annual client service meetings, client audits, client satisfaction surveys as well as tracking of service issues, quality assurance metrics and complaints (including being the first point of contact for complaints and escalations)
• Acts as an escalation point for client issues which are not being resolved though standard process, facilitating a satisfactory client outcome with relevant resolver groups within the company.
• Gathers and tracks client requirements and specifications, including changes throughout the life of the contract and associated approvals/authorisations from the client and the company
• Documents and publishes meeting agendas and associated minutes, and tracks action items, owners, and due dates.
• Control and management of the commercial client contribution, monitoring of the ordering and billing processes as well as chasing outstanding payments/receivables. Development of client interfaces and systems (for example CRM and Change Management Systems)

Adoption Charter -

• Ensures the client is aware of and is successfully adopting offer features and increasing their usage of services (as appropriate).
• Proactively helps the client to realize demonstrable value from the offers and meet their original business (procurement) objectives.

Expansion Charter -

• Drives up-sell of existing offers/services and close the deals to achieve revenue targets.
• Identifies cross-sell opportunities (to extend company's footprint with the client) and facilitates engagement with Sales/GTM functions to engage the client on these opportunities.

Renewal Charter -

• Demonstrates the value delivered by the company throughout the lifetime of the contract and drives a successful and on-time renewal.
• Minimizes churn (client, revenue, service) at renewal and seek opportunities to drive up-sell / cross-sell as part of the renewal process.
• Prepares status reports to keep management, clients, and project team informed of project status, renewal business metrics and related issues
• Recommends appropriate process and procedure revisions in support of continuous improvement.

Client Success Practice -

• Be an active member of the Regional and Global CS Management practice (including adopting standard methodologies, platforms/tools, KPIs, best practice activity, sharing experiences with the community).
• Responsible for Data Quality Management within own client portfolio.
• Must be able to respond to emergency situations at the data center and to carry a cell phone and provide 24 x 7 support as needed.
• Periodic travel to other NTT GDC locations, and client or vendor sites.
• Builds and maintains Client Success Management skills and operating knowledge.
• Builds and maintains an up-to-date knowledge of company offers.

Knowledge, Skills and Attributes:

• Excellent interpersonal skills with the ability to develop and maintain solid stakeholder relationships up to Management level.
• Possess excellent problem solving, critical thinking, client service, verbal and written communication skills.
• Advanced account planning and stakeholder mapping and management techniques documented in Account Plans
• Ability to interpret a client’s business strategy / plans and understand opportunities for company solutions/services.
• Advanced knowledge of company offers and services, including the core functionality and features, linkage within organization's service portfolio, pricing structures, client benefits.
• Ability to provide an external industry viewpoint (including industry insights, technology trends and competitor landscape) and to highlight company's expertise and differentiated offerings and position “partnership” offerings with the client.
• Be highly proficient with the use of IT equipment and software systems, including a very good knowledge of MS Office, especially Excel.
• Advanced sales skills (consultative selling and negotiation) with the ability to identify up-sell opportunities and close resulting deals participating as member of the overall sales account team.
• Ability to execute on-time renewals with minimum volume or price churn and maintaining readily available client contract database of post and current contracts together with client specific documentation.
• Strong knowledge and understanding of IT service environment, service operations and ITIL practices.
• Advanced understanding of company’s high-level operating model and the ability to develop and maintain relationships across relevant cross-functional teams.
• Advanced understanding of company’s billing processes and client invoicing linked to contracted services.
• Advanced understanding of financial statements and metrics, including revenue, expense control, and growth relative to market in order to hold strategic client conversations.
• Advanced understanding of contracts and contract management; with the ability to maintain the contract, to discuss with the client and understand how to position as a value exchange.

Additional Requirements:

• Bachelor’s degree or equivalent in information technology or sales or a related field.
• Additional relevant vendor certifications are advantageous.
• At least 6 – 8 years of relevant experience in a client-facing role in one or more of Sales, Service or Consultancy disciplines in a large scale (preferably multi-national) technical services company, such as a data center services provider, telecommunications and/or internet services provider or another similar technical organisation.
• Advanced subject matter and services product expertise within sales and operations.
• Advanced experience in a Managed Services and/or Outsourcing environment.
• Advanced experience as Operations /Delivery Manager, Account Executive, Solutions Consultant/Service architect for medium to large managed services contracts for assigned clients.