Our client is a well-established MNC, market leader in the IT industry. Due to their current expansion plan, they are looking for an IT Maintenance Engineer to join their team, in hopes of developing the current high performing team. They are located in the West.

Responsibilities:

• Provide technical assistance to clients when required.
• Support operations on a 24/7 basis, with rotating shifts.
• Diagnose and resolve technical issues promptly.
• Communicate complex technical information in simple terms to clients.
• Understand and manage client requirements.
• Collaborate with the support team to escalate unresolved issues to the relevant product vendors.
• Maintain close communication with vendors to improve and support product solutions based on feedback and industry trends.
• Continuously enhance knowledge in IT security products and solutions.
• All other adhoc duties as assigned.

Requirements:

• Minimum Nitec/Diploma or other related field of studies.
• Minimum 1 years’ relevant experience.

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 shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Key Responsibilities:

• Enter data timely and accurately into the company software systems and spreadsheets.
• Ensure warehouse transactions are recorded.
• Ensure inventory accuracy in the system and support inventory checks.
• Other ad hoc tasks as assigned.

Requirements:

• Proficiency in data entry software and Microsoft Office (Excel, Outlook).
• Accuracy and attention to detail.
• Diploma, or Degree preferred.
• WMS would be an advantage.

Our client is a leading-edge education centre that integrates technology and data to transform the way Math is taught and learned.

With a curriculum crafted by seasoned educators and enhanced by real-time learning analytics, they empower students to excel beyond conventional standards.

We are on the lookout for passionate Math educators who are excited to shape the future of learning through innovative, tech-enabled teaching methods.

If you believe in using data to enhance learning outcomes and are eager to be part of a pioneering team, this role is for you.

First Konnection – The Authorized Education Recruitment Specialist for this Role

What You Can Expect:

• Streamlined Process: Let us handle the logistics while you focus on showcasing your expertise.
• Direct Communication: Receive timely updates and clear guidance throughout the application process.
• Personalized Advice: Leverage our insights to present your strengths and secure the role.

Location

Parkway Parade, Marine Parade

Your Responsibilities:

• Teach 10 to 12 classes weekly (2 hours per class), focusing on fostering a love for Math in primary school students.
• Use our proprietary analytics platform to track student progress and provide data-informed feedback to enhance learning outcomes.
• Engage parents by sharing detailed progress reports and actionable insights to support students' academic journeys.
• Collaborate on curriculum refinement and share new ideas to continuously raise teaching standards.
• Contribute to a vibrant, growth-oriented team culture, attending regular meetings and training sessions.
• Maintain a positive and safe learning environment, where every student feels supported and motivated.

Why This Role?

• Be a Change-Maker: Join a team that is redefining how Math is taught through a data-driven approach.
• Personal and Professional Growth: Opportunities to take on larger roles through the Management Associate Programme, which grooms you for leadership positions across various departments.
• Impactful Teaching: Leverage technology to provide personalized learning experiences and see tangible improvements in your students' results.

Qualifications & Requirements

• Bachelor’s Degree in Mathematics, Education, or a related field (local university graduates preferred).
• A strong foundation in the local MOE curriculum.
• High level of enthusiasm, adaptability, and a commitment to nurturing young minds.
• Exceptional communication skills and the ability to build positive relationships with students and parents.

What’s In It For You?

• Annual Leave: Enjoy 2 weeks of centre closure at the end of the academic year (Last 2 weeks of December) + 10 Days of Annual Leave.
• Professional Development: Receive ongoing training and have opportunities for career progression through our Management Associate Programme.
• Work-Life Balance: Join a vibrant team with a supportive and balanced work environment.

Ready to Make a Lasting Impact?

If you're eager to inspire a love for learning in young minds and want to be part of a progressive, data-driven team, we’d love to hear from you!

Take the Next Step:
Submit your application here or through MyCareersFuture, and kickstart a fulfilling career journey with us.

EA Registration No.: R23111820 (Ben Chang)
EA Licence No.: 22C1307 (First Konnection Pte. Ltd.)

We are looking for Document Controller / Data entry Specialist to be outsourced to our clients from the healthcare industry.

Job Description:

• Manage special requests for data collection, completion, and verification.
• Track and manage workload to ensure all necessary process data is located and entered, utilizing existing tools to examine and monitor this data.
• Validate new or modified GDM objects and assist GDM administrators in ensuring compliance with validation procedures.
• Support the administration of both new and legacy data collection systems.
• Interact with data consumers and analytics to create efficiencies and build user confidence in the system.
• Resolve analytics-related data entry issues with users.
• Adhere to all training and policy guidelines set by the facility.
• Perform any additional duties assigned by your Supervisor/Manager.

Requirements:

• Diploma / Degree in Science or equivalent
• Has pior experience in GMP document control roles in a science / medical industry is a plus.
• Meticulous and able to handle administrative matters

All qualified applicants, please send in your resume to:

[email protected]

Jacqueline Fong Hsin Ting (R21103226)

Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C4599

​​​​​​We are looking for a skilled and seasoned Data Director to join our team and lead the development of data-driven solutions. Your primary responsibility will be to build a high-performing team that is dedicated to delivering innovative and effective solutions that meet our customers' needs.

• Develop and implement advanced data-driven solutions to address complex business challenges.
• Lead a team of data scientists and analysts, optimizing campaign performance.
• Champion campaign effectiveness and drive the development of data-driven strategies.
• Build team morale and motivation by recruiting, coaching, and supporting team members to achieve excellence.
• Act as a thought leader, initiating programs to advance team skills and knowledge.
• Advocate for the use of consumer analytics within the agency and play a pivotal role in representing the data team during business pitches and presentations.

Be a part of our start-up where all decisions across BUs are data driven and never by gut.

CPO is a startup company dedicated to leveraging data-driven insights to drive innovation and growth. We are committed to harnessing the power of data to solve complex business challenges and deliver value to our customers. As we continue to expand our data analytics capabilities, we are seeking Data Scientists to join our team and contribute to our success.

As a Data Scientist, you will be at the forefront of our data analytics efforts, working closely with cross-functional teams to develop and deploy advanced analytical solutions. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to inform business decisions. The ideal candidate will possess strong analytical skills, a deep understanding of statistical methods and machine learning techniques, and a passion for solving complex problems using data.

Key Responsibilities:

1. Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data analytics to drive business value.
2. Collect, clean, and preprocess large datasets from multiple sources to ensure data quality and integrity.
3. Apply statistical analysis and machine learning techniques to develop predictive models and algorithms for solving business problems.
4. Evaluate model performance and iteratively refine models to improve accuracy and effectiveness.
5. Generate actionable insights and recommendations based on data analysis, and present findings to stakeholders in a clear and compelling manner.
6. Work closely with engineering teams to deploy and operationalize analytical models in production environments.
7. Stay abreast of the latest developments in data science and machine learning, and proactively explore new techniques and methodologies to enhance analytical capabilities.
8. Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making workflows.
9. Adhere to best practices in data governance, security, and compliance, ensuring the ethical and responsible use of data throughout the organization.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Experience with developing and deploying predictive models and algorithms would be a plus
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy) would also be a plus
• Strong understanding of statistical methods and machine learning techniques, including linear regression, logistic regression, decision trees, random forests, and neural networks.
• Experience working with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Solid understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

We are a equal opportunity employer and is committed to diversity and inclusion in the workplace. We encourage individuals from all backgrounds to apply.

Are you driven by the desire to see your hard work directly impact others? Join the DNDTS team, where we excel in crafting success stories through dynamic projects. Each endeavor is a unique opportunity to contribute to our proven track record of achievements.

Experience the satisfaction of seeing your efforts transform into positive changes in people's lives. In our thriving SME environment, you won't be limited to a single role. You'll have the chance to engage in cross-departmental collaboration, fostering a rich learning experience.

As our team consistently grows, so do opportunities for career advancement. We embrace the startup culture by having a casual working attire and a flat hierachy across deparments. Your journey with us goes beyond a job—it's a chance to make a lasting impact while expanding your skill set. Join DNDTS and become a key player in our success story.

About the Company

Our company specializes in electronic products. We believe in the power of data to guide and refine our business strategies, including marketing, new business development, and overall operations. We are looking for a data analyst to help us unlock the potential of data and optimize our business for continued growth and success.

Roles & Responsibilities

As a Data Analyst, you will be responsible for gathering, analyzing, and leveraging data to inform decision-making and enhance our supply chain, sales channels, and overall business processes. You will collaborate with various departments to identify trends, improve efficiency, and maximize profitability.

Key Responsibilities

• Collect and analyze market data using our proprietary tool to uncover insights into consumer preferences, competitor strategies, industry trends, and potential opportunities for growth.

• Utilize our data analytics and visualization tools to examine data, communicate findings about key business aspects such as sales, revenue, costs, and production.

• Perform process analysis to pinpoint inefficiencies or bottlenecks and implement business process improvements for maximum profit.

• Conduct cost-benefit analyses to determine the optimal allocation of resources, investments in equipment, staffing decisions, or procurement strategies.

Qualifications / Requirements

• Bachelor's degree in Computer Science, Business Analytics, or a related field.

• Proficiency in common data analysis programming languages, libraries, and tools (e.g., Python, R, SQL, Pandas, NumPy).

• Solid data analysis and visualization skills, with experience in tools such as Tableau, Power BI, or similar platforms.

• Excellent communication skills, with proficiency in English.

• Ability to work independently and collaboratively with cross-functional teams.

• Strong problem-solving skills and a results-oriented mindset.

Benefits

• Flexible working hours

• Yearly Bonus

• Medical Insurance Coverage

• Staff Discounts

• Corporate Discounts at participating F&B and Retail Outlets

• Fast Career Advancement Opportunities

• Multi-Industry Exposure

• Working Location: East - Airline House - Next to Singapore Airlines HQ

Please ensure you meet the minimum qualifications before applying. We regret to inform that only shortlisted candidates will be notified. If you are a data analyst with a passion for using data to optimize operations and drive growth within the electronics industry, apply now to join our innovative company and embark on a rewarding career journey.

Must Have Skills

1. Programming languages: Python / Spark
2. Experience with Linux utilities & SQL.
3. Experience in using PySpark for data transformation.
4. Knowledge of AWS services such as Redshift, Glue, Cloudformation, EC2, S3, Lambda.

Good to Have Skills

1. ETL Tool Experience
2. AWS Exposure

Key Responsibilities

1. Responsible for the development of ETL pipeline in open source to carry out data ingestion
2. Write programs to extract data from data lake and curated data layer to meet business objectives
3. Collaborate with different teams to gather the understanding of the application to design the ETL pipeline
4. Gather business and functional requirements, and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture
5. Participate in the full development life cycle, end-to-end, from design, implementation, and testing, to documentation, delivery, support, and maintenance and produce comprehensive, usable dataset documentation and metadata

Must Have Skills

1. Programming languages: Python / Spark

2. Experience with Linux utilities & SQL.

3. Experience in using PySpark for data transformation.

4. Knowledge of AWS services such as Redshift, Glue, Cloudformation, EC2, S3, Lambda.

Good to Have Skills

1. ETL Tool Experience

2. AWS Exposure

Key Responsibilities

1. Responsible for the development of ETL pipeline in open source to carry out data ingestion

2. Write programs to extract data from data lake and curated data layer to meet business objectives

3. Collaborate with different teams to gather the understanding of the application to design the ETL pipeline

4. Gather business and functional requirements, and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture

5. Participate in the full development life cycle, end-to-end, from design, implementation, and testing, to documentation, delivery, support, and maintenance and produce comprehensive, usable dataset documentation and metadata

Location: Tuas
Working Hours: 5 days office hours

Job Scope:

• Assist in the setup, operation, and maintenance of lab equipment and instrumentation
• Conduct experiment tests on engineering materials, mechanical systems and components
• Collect and analyze data using various software and tools
• Prepare test reports summarizing experimental results
• Assist in the design and development of lab experiments and test protocols
• Collaborate with cross-functional teams
• Documentation of lab activities and updating test procedures
• Will be going down to customer site, mainly shipyard environment to do the equipment testing

Job requirement:

• Min. Bachelor Degree in Mechanical Engineering
• Strong technical aptitude and problem-solving skills
• Proficient in data collection and analysis
• Able to start immediate or within a short notice preferred

For interested applicants, please send your updated resume to: [email protected]

All candidates’ information will be treated with the strictest confidence

Melissa Zhang Zhiqi (Mezzo)

R2197564

Recruit Express Pte Ltd

99C4599

Contribute to the Revenue Optimization department in its goal to maximize profit by performing the following:

Key Responsibilities:

• Technical Expertise: Application development using OutSystems Platform and Java.
• Project Management: Assist in monitoring IT solution projects, ensuring timely delivery and alignment with our strategic business objectives, naming NIE Digital Portfolio.
• Effective Communication: Engage with administrative staff, faculty members and researchers to understand their requirements, provide updates, gather feedback, and follow up to ensure timely progress on projects.
• Compliance Audits: Participate in audits to ensure compliance with both internal standards and external regulations, maintaining the highest levels of integrity and accountability.

Requirements:

• A University degree in Computer Science, Information Technology, Information Systems, Info-communications, or equivalent.
• 5 to 7 years working experience as a Systems Analyst.
• Technical proficiency in coding on Java, with a proven track record of supporting successful IT initiatives.
• Good knowledge of front-end web development (e.g., HTML, CSS, JavaScript)
• Proficient in data visualization tools, such as Tableau preferred.
• Ability to process massive amounts of data and complete critical projects in a correct, accurate and timely manner.
• Strong logical thinking, data analysis and problem-solving skills.
• Excellent communication skills, capable of translating complex technical concepts into clear business requirements.
• A team player who thrives in a collaborative environment and is committed to achieving collective goals.

Job Responsibilities:

• Support data classification and taxonomy methods and standards
• Support analysis, identification and marking various data samples in storage, and ensure accuracy and recall rate
• Support in improving algorithm recognition and machine learning ability, analyze bad case of algorithm recommended data labels and put forward suggestions and basis for annotation/labelling
• Participate in the discussion of algorithm model improvement solutions
• Deeply understand the business, investigate the data samples of each business line, and improve the classification standard of data labels and sample database
• Improve the data annotation operation process, optimize the label sampling and review mechanism
• Participate in the functional optimization design of the annotation platform

Requirements:

• Major in Computer Science or IT related, with minimum 2 years of research and development in testing, data analyst or DBA experience
• Familiar with all kinds of data samples in storage
• Excellent communication and analysis skills and good reasoning skills, able to quickly understand the business and judge the sample type according to the business attributes
• Be able to effectively do repetitive tasks and effectively with a minimum of errors
• Knowledge of data modelling, artificial intelligence and machine learning

Job Summary

Strategy

• The Business Analyst supports SC’s strategic data management, which interprets regulatory directives, group policies and standards and applies compliant practices that protect the Bank’s assets/reputation.

Business

• Provide business analysis support in delivering the solution for Data Quality Management Treatment Plan and other treatment plans across Records Management and Privacy as the need arises
• Review business requirement documents and identify data requirements - define the source data sets, mapping & transformation rules, aggregation & reporting requirements etc
• Analyse and ensure end-to-end data lineage, handshake, dictionary and transformation logic are established and up to date. Identify and document data sources and data consumers. Identify golden sources and recommend data sourcing approach
• Work closely with Downstream process owner and business risk owner to develop data quality validation rules and data quality maintenance / control where appropriate.
  Plan and coordinate profiling of data to ascertain data quality and consistency, if required
  Work with various technology teams to deliver data responsibilities
• Actively participate in any audit related to data within CPBB
• Manage end-to-end communications with the user community & stakeholders.

Long Description

Processes

• Ensure processes are streamlined and any control related issues are flagged timely to process owners and Operation Risk
• Support in implementation of controls to ensure accuracy of NTB on boarding and ongoing static data updates on ETB
• Help to design control monitoring to help DQM process owner manage their risk.

People and Talent

• Manage stakeholders efficiently and engage them appropriately from a project support standpoint

Risk Management

• Manage Data Management (DM) related risks (including (but not limited to) Data Quality, Privacy & Secrecy and Records Management) within CPBB Business
• Participate and perform Risk and Control Self-Assessment (RCSA) on Data Management (DM) related risks within CPBB Business
• Perform quarterly Residual Risk Assessment (RRA) on CPBB Data Quality Management process

Key Responsibilities

Governance

• Ensure robust project governance of the project at a country, regional and global level

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

• Group/Regional/Country Onboarding/Service Transacting/BRM Operation team, CPBB FCC, CPBB OR, CDO, respective RFO and CPBB Data

Our Ideal Candidate

• 8+ years of experience In the Finance, Risk and/or Regulatory reporting space.
• Deep knowledge of the strategic business drivers and operational process requirements
  Part of large development or implementation project / consulting organizations supporting complex data management programs in the finance & regulatory reporting space.
• Project management/Business Analysis experience in the data management area have to be able to enforce deadlines in a fast-paced, deadline driven environment.
• Broad experience with data requirements, data modelling concepts, data integration, master data management, metadata management, enterprise data warehousing (EDW) and business intelligence/analytics, tools, protocols and practices.
• Demonstrated experience.
• Able to understand and interpret logical and physical data models.
• Attention to detail, good analytical and problem-solving skills and critical thinking are essential
  Possess leadership capabilities and is able to lead a focused task force.
• Cultural sensitivity and awareness to work with a range of people from diverse background and geographies.
• Good command over business language and possess good interpersonal and communication skills.
• Work experience with major transaction processing systems or data warehouses used in SCB is desirable.
• Bachelor’s degree or higher - preferably in Accounting, Statistics, and Computer Science or highly relevant equivalent experience is required.

Role Specific Technical Competencies

• Data Management
• Project Management
• Financial Reporting (BCBS239 / IFRS9)
• Stakeholder Management
• Business Analyst

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 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
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

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 leave, parental/maternity (20 weeks), sabbatical (12 months 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

About US (GEMS):

ENGIE Global Energy Management & Sales (GEMS) provides energy supply solutions and risk management services to support its clients through their decarbonization journey, while optimizing ENGIE’s assets and contributing to value creation.

ENGIE is a global reference in low-carbon energy and services with a leading energy management business, piloted by its entity "Global Energy Management & Sales" who built its savoir-faire managing the Group’s large and diverse asset portfolio over 20+ years.

3,600 employees around the world develop our solutions, through +20 international business platforms. We cover the full energy mix: renewable and thermal power, natural gas & LNG, biomass, environmental products. Our experts provide tailor made solutions based on a wide range of savoir-faire in energy management with a strong focus on decarbonation and decentralization.

Our 190,000 clients span the entire value chain: producers, asset developers, financial players, utilities, distributors and industrials. Our global reach and strong local presence enable us to offer these diverse clients tailor-made services and respond to rapid changes in mature or emerging markets alike.

Our 4 expertises:

• Asset management

• Energy transition services

• Energy supply & global commodities

• Risk management & market access

At GEMS we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you.

More info on GEMS Hub (https://gems.engie.com) or LinkedIn (https://www.linkedin.com/company/engie-global-energy-management-solutions).

Context:

Within the GEMS Business Unit, Business Platform (BP) APAC is responsible for GEMS activities in Asia Pacific & Middle East & aims at managing and developing the group’s trading activities for these regions around 4 main pillars: risk management and market access, asset management, green solutions and energy supply businesses. BP APAC as part of this expansion strategy for developing Asset Management business is looking to set up platform in India to support RGBU / group development and develop related commercial franchise. In planning for India, already opened last year in Japan.

For BP APAC, Japan & India will be the first time the BP is managing physical electricity. There will be a need to development tools, processes and skills around short term trader following the implementation of Power Purchase Agreements (PPAs) contract and Battery Energy Storage System (BESS). There is an important Data related component.

There is a need to support the respective desk with Data (analysis, structure, integrity…) and processes (short term trading (Intraday + Day ahead).

Role:

Optimization Problem Solving:

• Develop, implement, and maintain optimization models to solve complex business problems (short term trading).
• Identify optimization opportunities within the business and design custom algorithms to address them.

Data Analysis and Modeling:

• Collect, clean, and preprocess large datasets from multiple sources.
• Build and validate predictive models using statistical, machine learning, and optimization techniques (BESS, PSP, …).
• Conduct exploratory data analysis to uncover trends, patterns, and insights that inform optimization strategies.

Collaboration and Communication:

• Work closely with stakeholders to understand business objectives, constraints, and requirements.
• Collaborate with cross-functional teams (commercial, trading, analyst, market Risk..) to integrate optimization solutions into existing systems and processes.
• Present findings, insights, and optimization strategies to both technical and non-technical audiences.

Tool Development and Deployment:

• Develop and deploy optimization tools, dashboards, and visualizations that enable business users to interact with and leverage optimization solutions.
• Ensure the scalability and robustness of deployed solutions in a production environment.

Documentation and Reporting:

• Document all stages of the optimization problem-solving process, including data preparation, model development, and results.
• Produce regular reports that detail the impact of optimization solutions on business outcomes.

QUALIFICATIONS

Educational Qualifications.

• A bachelor’s degree in a field such as mathematics, marketing, IT, computer science, or an adjacent field like business information systems, economics, information management, or statistics.
• A postgraduate degree in a related discipline, such as business analytics, data science, or big data.

Technical Skills. a good data scientist has a diverse collection of “hard” or technical skills, such as:

• Computer science. This skill applies the principles of database systems, artificial intelligence, numerical analysis, human/computer interaction, and software engineering.
• Data storytelling. This skill entails communicating actionable insights using data, typically for the benefit of a non-technical audience.
• Data visualization. This skill encompasses learning Tableau, or several other data visualization tools, to help share data insights through charts, graphs, and other visual aids.
• Machine learning. This skill covers implementing algorithms and statistical models to allow a computer to learn from data without human influence or action.
• Programming. No self-respecting data scientist is without some programming knowledge, including knowing several languages such as Java, R, Python, and SQL. This knowledge also involves writing computer programs and analyzing large datasets to generate answers to complex problems.
• Statistical analysis. This skill involves identifying patterns in data and includes having a sharp sense of pattern detection and anomaly detection.

Soft Skills. Data scientists also need a range of soft skills, such as:

• Analytical thinking. This skill covers finding analytical solutions to abstract business issues.
• Business intuition. This skill lets you connect with stakeholders to get a complete understanding of the problems they want to solve.
• Critical thinking. Critical thinking is a vital skill that applies the objective analysis of the facts before arriving at a conclusion.
• Inquisitiveness. This skill is a form of curiosity, looking beyond what’s on the surface and discovering patterns and solutions within the data.
• Interpersonal skills. This skill covers communication with a diverse audience throughout all levels of an organization.

Work Location:

• Singapore

POS integration, FTP settings, POS and Inventory Data Analayst, able to create and maintain website, MS Excel expert level

Part time or full time possible

Office Chinatown or remote

Experience in POS system and software backend, website creation and SEO tools usage a must, at least 2 years. Flexible hours as long deliverables met

Job Responsibilities:

• Monitoring of BMS systems, critical facilities equipment and other equipment associated with the data centre environment including fire safety, plumbing, mechanical, and electrical systems.
• Respond and perform all remote hands requests within the Operational and Service Level Agreements.
• Ensure effective implementation of data centre safety, security and customer support policy and procedures.
• Oversee the security operations onsite, including processes, manpower and ability to use security software systems.
• Co-ordinate and support all internal contractors and vendors activities onsite, including reviewing of Permit-To-Work (PTW) documents.
• Create accurate and regular reporting to internal stakeholders when necessary.

Job Requirements:

• At least 1 year of relevant work experience in a facility operations environment
• Commit to rotating shift working hour
• Possess general knowledge of M&E and Network Infrastructure.
• Broad knowledge in DC facilities related systems such as PDUs, UPS, DC Rectifier, Generator, DRUPs, CRAUs, Chiller.
• Possess relevant facilities management and/or data centre related certifications, such as ITIL, CDCP, CDCS.
• Knowledge in cloud technology, network, data centre facilities, system applications and IT systems

We regret that shortlisted candidates will be notified.

Name: Teoh Xue Ling

Registration No.: R22107190

EA License No.: 02C3423

Job Summary:

A HR Management Trainee’s job is a dynamic role. It not only encompasses recruitment but also business development, account management, marketing, customer service all rolled into one. It is about understanding people’s needs and motivations, and managing clients’ and candidates’ expectations. It is also about building relationships. It may be a challenging role but very meaningful one!

Responsibilities

• Business Development: Initiate a range of business development and marketing activities to build new corporate clients and grow your own client portfolio.
• Account Management: Manage internal and external stakeholders and clients on their hiring needs.
• Talent Acquisition: Engage in candidate sourcing activities, such as publishing job advertisements and conducting candidate referrals, to ensure a consistent supply of candidates to meet client's needs.
• Candidate Management: Manage candidates’ job needs and expectations, their payroll and employment benefits.

What do you get to learn?:

• Paired 1 to 1 mentorship according to working style
• Client visit with mentor to gain broader experience and to experience client’s workplace
• Improved communication skills & tactics
• Mapped Progression with the Company

Get to Enjoy:

• Quarterly events and bonding workshops
• Great Team Spirit
• Big and cohesive division
• Comprehensive Training
• Dynamic Working environment
• Central Location (at Orchard)
• Exciting Opportunities to develop a rewarding career

Requirements

• Minimum Degree in any field of study.
• Strong interest in marketing and/or business development with good business acumen
• Applicants with good track record in sports or other co-curricular activities in school will have an added advantage
• Possess enthusiasm and most importantly, passion for people
• On the job training provided!

Interested applicants, please email your updated CV to [email protected]

We regret to inform that only shortlisted applications will be contacted.

EA Personnel No: R21103938

EA Personnel Name: Reina Ng Hwee Min

Company Registration Number: Recruit Express Pte Ltd (99C4599)

Job Description:

• Handling of HR-related administration duties
• Assist in HR operations
• Conducting face to face/ online interviews with prospective applicants
• Coordination of interviews
• Provide support to the HR executives and other related departments
• Handle any admin duties assigned by supervisor

Job Requirements:

• Min Degree in any discipline
• Good interpersonal skills
• OK to work in a fast-paced environment

All qualified applicants, please send in your resume to:

[email protected]

Tricia Celestine Goh (R1981653)

Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C4599

Location: Tuas with company pick up
Working Hours: 12 hrs shift
Duration: 6 months
Salary: Up to $2500 + $250 Transport + Shift allowance ($500 - 700)

Job Scope:

• Perform production activities such as raw or intermediate material receiving, staging, material movement, dispensing, sampling, filter inspection, material charging, offloading, drum packing, milling operations, housekeeping as per SOP.
• Ensure proper communication and handling over of shift duties.
• Complete all documentation including Record of Manual Operation (RMO), Cleaning Instruction (CI), Manufacturing Instruction (MI) according with GMP and GDP standards.

Job Requirements:

• Min. Diploma in any science/ engineering field
• No experience as training will be provided
• Able to start immediate/ within short notice required

For interested applicants, please send your updated resume to: [email protected]
All candidates’ information will be treated with the strictest confidence
Melissa Zhang Zhiqi (Mezzo)
R2197564
Recruit Express Pte Ltd
99C4599