Total 4,032 data entry job vacancies in Information Technology category in Singapore

Job Responsibilities

• File and organize documents
• Order office supplies
• Help with basic data entry and paperwork

Requirement:

• Min Nitec / Higher Nitec in any course

All qualified applicants, please click “ APPLY NOW”

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

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

Job Responsibilities

• File and organize documents
• Order office supplies
• Help with basic data entry and paperwork

Requirement:

• Min N / O level

All qualified applicants, please click “ APPLY NOW”

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

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

Job Responsibilities:

• Data Architecture & Analytics Delivery: Lead the design and implementation of data-analytics platforms and solutions across on-premises, cloud, and hybrid environments.
• Information Delivery & Analytics: Utilize cutting-edge expertise in data preparation, insights, and visualization using BI tools, coupled with advanced data prediction techniques involving AI, ML, and DL.
• AI/ML Operations: Oversee the integration, deployment, and monitoring of AI/ML products and solutions.
• Data Management: Ensure analytics products are ethical, well-controlled, and align with data management best practices.
• Strategic Partnership: Collaborate with Nomura’s businesses to shape their information and analytics strategies, driving adoption roadmaps across the organization.

Core Skills Requirements:

• Data Engineering: Design and develop scalable data pipelines to collect and process large datasets from diverse sources.
• Data Modeling & ETL: Build robust physical data models and ETL processes that guarantee data quality, integrity, and accessibility.
• Microservices Development: Create and maintain scalable, fault-tolerant microservices, including efficient server-side APIs.
• Deployment & DevOps: Proficient in CI/CD processes, using tools like Jenkins and Ansible, and experienced in enterprise integration patterns.
• Programming & Orchestration: Hands-on experience with Python, Java, and orchestration tools like Airflow.
• Cloud Technologies: Expertise in cloud platforms such as EC2, EMR, Snowflake, and proficiency in hybrid data architecture design.
• Data Management Methodologies: Skilled in modern data management practices, including building data products and implementing data mesh architectures.
• Machine Learning Expertise: Experience with machine learning libraries and frameworks like LangChain, TruLens, MLFlow, TensorFlow, Scikit-learn, or PyTorch.
• ML Model Deployment: Capable of deploying machine learning models into production and monitoring their performance.
• Data Analysis: Proficient in collecting, cleaning, and analyzing large datasets for training and evaluating machine learning models.
• Cross-Cultural Collaboration: Ability to navigate cultural differences and work effectively with virtual, cross-border teams.
• Adaptability: Comfortable managing multiple demands, shifting priorities, ambiguity, and rapid changes.
• Stakeholder Management: Experience in senior stakeholder management is a plus.
• Communication Skills: Excellent verbal, written, presentation, and interpersonal skills.
• Critical Thinking: Capable of analyzing complex situations and proposing actionable solutions.
• Innovative Approach: Able to challenge existing requirements and current states constructively to maximize value for the firm.

Education and Experience:

• Bachelor’s or Master’s degree in quantitative fields such as Computer Science, Statistics, or related disciplines.
• 5 years of relevant experience in data engineering, MLOps, or full-stack engineering, preferably within financial organizations.
• Experience working with multi-cultural, multi-disciplinary, globally dispersed teams.
• Relevant certifications in technologies or frameworks are a plus.

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email protected] with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R2095054

1. Acquire data from various sources and maintain databases and data systems.
2. Filter and clean data, review reports, and performance indicators.
3. Identify and interpret trends or patterns in complex data sets. Use data to solve business problems, answer business questions, and predict future trends or outcomes.
4. Provide reports to management and stakeholders.
5. Work with management to prioritize business and information needs.
6. Collaborate with different teams to understand their data needs and assist in making data-driven decisions.
7. Create data visualizations and prepare detailed reports communicating findings and insights.
8. Other Ad-hoc work

Job Summary

Strategy
• Be the internal consultant to business for strategic decisioning requiring data analytics by participating in various forums / aquads for exchange of ideas / business priorities / presenting self-initiated product deep dives in these discussions.
Business
• Proven track record with one or more analytics technology stacks as well as familiarity with a broad range of solutions for visualisation, advanced analytics, data ingestion/transformation.
• Be able to provide analytics and customer insights to support business decisions and for better targeting via the delivery of use cases across :

· Customer segmentation

· Customer Acquisition/X-sell/Engagement

· Customer Behavioural modelling

· Customer and product profitability

· Campaign performance measurement and optimization

· AI /Machine Learning model monetization

• Perform deep dive data analytics to drive end-to-end campaign effectiveness and overall financial performance KPI’s
• Develop powerful dashboard to communicate the insights and finally, creating impactful presentation to the Business.
• Manage adhoc management analytics-related requests and delivery of the same within the required timelines
Processes
• Responsible for updating, sharing and execution of end-to-end analytics process working closely with all key stakeholders.
People & Talent
• Partner and collaborate effectively with various teams to deliver the agreed KPI’s.
• Acquire new skills by adopting continuous learning to leverage best in class data analytics tools and technologies
Risk Management
• Achieve Strong control in documentation, process, EUC, system assess
• Ensure the Security & Data Privacy guidelines are adhered in all the deliverables

Key Responsibilities

Governance
• Awareness and understanding of the Data Governance framework, in which the Group , country & department operates, to meet the required data quality standards and expectations relevant to the role.

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
• The role requires close partnership with Singapore Wealth and Retail Banking (WRB) country product heads, segments team, digital sales & marketing team (DSM), platform team and other group/global stakeholders including global data team & center of excellence (COE) for all analysis requirements pertaining to retail & wealth products / segments.
• Business Units: Segments, Retail Products, Wealth Management Products, Digital Sales & Marketing Team (DSM), Channel Team including Customer Acquisition, Customer Relationship, Client Care Centre and Digital Banking
• Group Team: SBIM & SCMAC for reporting, data decomoratization, AI Modelling related deliverables reporting and analytics.
• IT on report automation projects and database related requirements

Our Ideal Candidate

• University Degree or equivalent, preferably in computer science, engineering or analytical discipline, e.g. mathematics, statistics, IT, economics, finance, accounting.
• 10 plus years working experience in Data, Analytics and CRM in the financial/banking sector.
• Deep technical knowledge of using data to drive actionable insights on customer segmentation, portfolio analytics, financial products, channel analytics to drive business KPI’s
• Proven experience delivering Data, Analytics and CRM infrastructure and tooling initiatives, including campaign management, marketing optimizations as well as Advanced Analytics tooling which will enable ML/AI services

Role Specific Technical Competencies

· Experience in Process and analysis of large amount of data using SQL, SAS, Python

· Data Visualization: Tableau or Microsoft PowerBI or MicroStrategy (MSTR)

· Statistical/Data Science Tools: Dataiku, Databricks, Python, Jupiter

· Data Management & Storage: Hortonworks Data Platform, Cloudera, Teradata Data Warehousing etc

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

Responsibilities:

• You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
• You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• You will be responsible to create, design and develop intricate data processing pipelines.
• You write clean and iterative code for continuous delivery practices to deploy, support and operate data pipelines.
• Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, data marts implementation.
• Design and optimize data acquisition, data ingestion, data processing using ETL (Extract, Load, Transform) tool and developing dashboards or other visualizations using Google Cloud Platform or other solutions.
• You will develop data models by selecting from a variety of modelling techniques and implementing the chosen data model using the appropriate technology stacks.

Requirements:

• From 3 to 5 years of experience working as a data engineer or related role.
• Hands-on experience in AWS Glue, AWS RedShift, Tableau, Qlik Sense
• Proficiency in handling programming languages projects such as Python, Java or Scala.
• Track record in implementing systems using Hive, Scala will be preferred.
• Strong in data modelling, data processing frameworks’ tools such as Hadoop, Spark, SQL is an advantage.
• Good understanding of analytics and data warehouse implementations
• Experience with Cloud Technologies is a plus.
• Good understanding and completion of projects using Agile methodology.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.
• Experience with industry standards within Data Management like ETIM, eCl@ss, BMEcat and other systems like ERP, PLM (product life-cycle management) and ecommerce platforms.
• Previous PIM system experience is a must
• Ability to speak and write in Chinese as the incumbent requires to liaise with the China based stakeholders for work or project related matters
• Bachelors in any related field.

About the role:

• Collect, analyze, and interpret data from various sources and complex transactions to identify trends, patterns, and insights that inform data solutioning processes
• Implement data validation plans and efforts to ensure datasets meet end users requirements in order to deliver high quality product releases
• Collaborate with cross-functional teams to gather data requirements and ensure data integrity and accuracy
• Identify opportunities for process improvement and operational efficiency based on data analysis
• Monitor data quality, perform data cleansing, and resolve data discrepancies

Responsiblity:

• Proven experience in data analysis, reporting, and business intelligence
• Proficiency in SAP, Tableau, SQL (Snowflake)
• Strong analytical and problem-solving skills with the ability to handle complex datasets
• Excellent attention to detail and ability to deliver high-quality findings and analyses
• Effective communication skills to present complex findings in a clear and concise manner to both technical and non-technical stakeholders
• Ability to work independently and collaboratively in a fast-paced environment
• Strong organizational and time management skills to handle multiple projects and meet deadlines

Nice to have:

• Proficiency in SAP Business Objects
• Experience with advanced SQL and query optimization techniques

EA License Number : 11C4879

Internal Code: AXI25001

*Internship period: At least 5 months, from January 2025

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We create evidence-based, personalised health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

What will you do?

• Assist data scientists in performing public healthcare research and development in line with the organization's vision within the digital health and wellness domain
• Perform on-site or off-site data collection, data organization, storage and processing
• Develop data-driven solutions and insights based on data mining, statistical modelling and machine learning methods
• Perform algorithm testing and validation
• Documentation of research, experiments and modelling findings/results
• Opportunity to be the co-author of our research publications

What are we looking for?

• Year 3 or final year in Data Science, Computer Science, Computer Engineering or related discipline
• Passionate about data science and good working knowledge of Python, SQL and R
• Good understanding or experience in signal processing and machine learning is required
• Keen interest in digital healthcare, wellness and fitness domain
• A 'go with the flow' and positive attitude, adaptable to change and energetic
• Passionate about learning and working with new technologies
• A natural tenacity, resilience and determination

• Extensive knowledge garnered working as a Data Centre Operator.

• Thorough knowledge of Data Centre Operations with strong knowledge of Operations methodology.

• Experience in eyeball checking of system faults and failures

• Good technical knowledge on Data Centre monitoring tools.

• Possess an in-depth knowledge of data centre infrastructure technology and components for installation.

• Strong written and excellent communication skills.

• People who are ready to do individual contribution and can able to join within 30 day would be preferable

• Joining a leading healthcare company
• Career Advancement with Stable Organisation

About Our Client

Our client, an AI innovation in healthcare, spearheading an AI Lab with a mission to transform how AI models are created and applied. their goal is to streamline the process, making it user-friendly and effective for healthcare applications.

Job Description

As a Principal Data Scientist, you are responsible for:

• Provide strategic guidance and oversight for AI and data science initiatives organisation-wide, including the annual Data Science innovation agenda.
• Spearhead the development and deployment of advanced analytics models and machine learning algorithms in critical domains such as clinical notes, medical imagery, and patient data.
• Focus on operational excellence by enhancing data science capabilities across NHG cluster, conceptualising and delivering transformative healthcare solutions.
• Lead the exploration and implementation of sophisticated neural network models for tasks like text analysis and opinion mining.
• Collaborate closely with the AI Ethics and Governance Specialist to identify and address risks in AI projects, establish policy processes, and ensure fairness in AI models and datasets.
• Streamline data analysis processes and systems for improved efficiency, maintenance, and scalability.
• Mentor and guide Senior Data Scientists and team members, fostering an environment of continuous learning and innovation.
• Stay updated on the latest advancements in AI and data science, driving the adoption of relevant methodologies and technologies within the organisation.
• Effectively communicate complex data science concepts and analysis findings to senior leadership and stakeholders.

The Successful Applicant

The ideal candidate should hold a minimum master's degree in computer science or related fields, equipped with over 7 years of hands-on experience in developing comprehensive data analytics solutions and machine learning pipelines. They must demonstrate experience in leading a team, programming in AI-related frameworks such as R or Python, assessing computational demands, optimising performance, and deploying machine learning models on cloud platforms like AWS, GCP, and Azure.

What's on Offer

• Opportunity in leading a large-scale AI project
• Exposure in latest healthcare data science technology

Contact

Wilson Tay (Lic No: R2091205/ EA no:18S9099)

Quote job ref

JN-052024-6416817

Phone number

+65 6416 9838

Michael Page International Pte Ltd | Registration No. 199804751N

Responsibilities:

• You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
• You will part of design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, data marts implementation.
• Design and optimize data acquisition, data ingestion, data processing using ETL (Extract, Load, Transform) tool and developing dashboards or other visualizations using Google Cloud Platform or other solutions.
• You will develop data models by selecting from a variety of modelling techniques and implementing the chosen data model using the appropriate technology stacks.

Requirements:

• Any bachelor’s degree in top tier university
• Minimum 1 to 3 years of experience working as a data engineer or related role.
• Hands-on experience or knowledge in AWS Glue, AWS RedShift, Tableau, Qlik Sense
• Project Knowledge such as Python, Java or Scala.
• Strong in data modelling, data processing frameworks’ tools such as Hadoop, Spark, SQL is an advantage.
• Good understanding of analytics and data warehouse implementations
• Experience with Cloud Technologies is a plus.
• Good understanding and completion of projects using Agile methodology.
• Knowledge in an industry standard within Data Management like ETIM, eCl@ss, BMEcat and other systems like ERP, PLM (product life-cycle management) and ecommerce platforms.
• Previous PIM system experience is plus
• Ability to speak and write in Chinese as the incumbent requires to liaise with the China based stakeholders for work or project related matters

Job Summary:

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

Key Responsibilities:

1. Data Analysis and Interpretation:

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

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

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

2. Market Research and Competitive Analysis:

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

• Benchmark company performance against industry standards and competitors.

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

3. Insights Development:

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

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

4. Client Engagement:

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

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

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

5. Stakeholder Collaboration:

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

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

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

Qualifications:

• Bachelor’s degree in Marketing, Business, Data Science, or a related field; Master’s degree preferred.

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

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

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

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

• Experience in client engagement and relationship management.

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

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

• Proficiency in multiple languages spoken in the APAC region is a plus.

• Great exposure to work on large scale data analytical projects
• Attractive compensation and package

About Our Client

At our leading short-form video platform, creation is at our core, driving us to inspire creativity and bring joy. With global headquarters in Los Angeles and Singapore, and offices worldwide, we embrace every challenge as an opportunity to innovate and grow. Join us to create, grow, and make an impact together.

Job Description

• Develop an engaging data labeling platform by leveraging gamification to boost user motivation and productivity, using predictive models to design features that effectively incentivize users.
• Plan and execute experiments, including A/B testing, to evaluate the impact of these gamification features and ensure data supports valid conclusions.
• Lead the development and monitoring of KPIs related to user engagement and gamification efficacy, continuously refining features based on insights from user behavior data.
• Take full ownership of proposing, implementing, and optimizing new features to enhance engagement, and iterate on strategies using data-driven insights.
• Collaborate closely with developers, designers, and product managers to ensure the seamless integration of gamification features.

The Successful Applicant

• Experience with data engineering tools and frameworks such as Spark and Databricks.
• Proficiency in analyzing complex data sets to derive actionable insights.
• Knowledge of game mechanics and user engagement metrics.

What's on Offer

Be part of a forward-thinking team that values creativity and innovation. Enjoy opportunities for professional development and career advancement. Work on high-impact projects that drive engagement and user satisfaction. Engage with a diverse, skilled team across various functions.

Contact

Miao Xia Neo (Lic No: R21103441/ EA no: 18C9065)

Quote job ref

JN-082024-6514077

Phone number

+65 6416 9828

Michael Page International Pte Ltd | Registration No. 199804751N

We are looking for Data Analyst to join one of the fast growing IT company in Singapore!

• Basic up to $7,800 + AWS + bonuses (attractive salary package & employment benefits)
• Be part of the Data Science team and work closely with Data Engineer/Scientist to deliver dashboard products
• Permanent position, positive working environment & career progression
• Working location: Tanjong Pagar (hybrid work arrangement)

Responsibilities:

• Work closely with product managers to understand and prioritize analytical needs, including identifying KPIs and delivering actionable insights to relevant decision-makers.
• Proactively study and define data collection and analysis processes based on use cases to answer business questions from stakeholders.
• Create and maintain web-based interactive visualizations through data interpretation and analysis, integrating various reporting components from multiple data sources.
• Define and implement data acquisition and integration logic, selecting appropriate methods and tools to ensure optimal scalability and performance of solutions.
• Create best-practice reports and dashboards based on analysis, data mining, and visualization principles.
• Recommend and implement ways to improve data quality, readiness, flexibility, and efficiency.

Requirements:

• Singaporean only
• At least 3-4 years of working experience in performing analytics, data mining, data visualization, A/B testing, and segmentation techniques
• Advanced programming knowledge in SQL and Python/R packages for analytics and machine learning
• Hands-on experience analyzing data, write comprehensive reports and build web-based interactive dashboards

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:
Contact you about potential opportunities.
Delete personal data not required at this application stage.
To withdraw consent, email [email protected].
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Liew Chien Hui - R2090138
ScienTec Consulting Pte Ltd - 11C5781

Seeking for Data & Business Intelligence Architect

LeapThought is seeking for a Data and Business Intelligence Architect to join our growing team to be at the forefront of this rapidly growing digitalisation sector within the built environment industry. The ideal applicant is a highly motivated individual with a ability to make fundamental contributions to the fields of digitalisation of various sector.

We are an innovative and globally awarded software company creating a step change in the infrastructure and construction sectors through our next generation digital platforms, products and solutions.

We operate in in New Zealand (HQ), Singapore (SE Asia HQ), Australia, India and US, with our clients spanning Government Agencies, Energy and Resources, Architecture, Engineering and Construction, Transportation & Healthcare.

We are seeking Data & Business Intelligence Architect, to spearhead end to end implementation with extensive experience in data engineering and designing BI dashboards for management. This role requires a leader who can articulate a compelling vision to clients and the team, ensuring that this vision is delivered through all stages of the project. The ideal candidate will have a passion for exploring new technology and developing business cases to support enterprise-wide data analytics solutions

Must Have:

· A minimum of 10-12 years of industry experience in Data & Analytic, with exposure to AI engineering

· Experience in at least two of the following platforms for - AWS, Azure or Google.

· Computer science degree or equivalent level qualification.

· Design and drive implementation of software solutions, along with creating future roadmap.

· Prior experience to engage in client-facing interactions, providing analyses, recommendations, presentations, and advice.

· Drive the awareness and establishment of data-related improvement initiatives across the business.

· Proven experience in architecting and designing complex data ingestion pipeline and BI solution.

· Proven experience in designing pragmatic solutions to solve real-world problems that take account of what is possible in a given timeframe.

· Proven delivery experience under pressure with translation of business and functional requirements into solutions design along with cloud migration.

· Evaluate technologies and systems for relevance and feasibility to the needs of the programme end state

· Presales Architecture – responsible for the specification, design, cost, and proposal of solutions to meet formal client requirements.

· Experience working with Singaporean clients, especially in Public sector providing analyses, recommendations, presentations, and advice.

· Experience in management of Stakeholder, Finance & vendor, with prior experience to Manage budgets, forecasting, work allocations, and staffing.

· Build a high-performing, motivated, and committed data analytics team.

Good to Have:

· Exposure to AI, including machine learning

· Experience of prototyping and demonstrating potential solution outcomes

· Define and document systems interfaces, data and infrastructure from a conceptual, logical and technical basis.

· Certification & experience in cloud Databases like redshift, Snowflake, Big Query etc.

· Full understanding and practical experience of the Software Development Lifecycle (SDLC) and project management experience.

· Prior experience in Optimisation of existing system.

Be part of our young and energetic team in Singapore, driven by innovation and strive for exploring new technologies to make data and analytics accessible to Hafnia’s businesses. We are at the early stage of the implementation. Hafnia is looking for talented individual that have a strong sense of ownership and responsibility.

Responsibilities

You will play a crucial role in building applications on top of our data lake to power business requirements and leverage the vast amount of data we have. You will work closely with our experienced team to design, develop, and implement software solutions that enable data-driven decision-making. This role requires strong technical skills, a deep understanding of data engineering and data science principles, and the ability to communicate effectively with both technical and non-technical stakeholders.

• We use the scrum methodology to support our projects.
• Collaborate with teams of experts from all departments.

As a Software Engineer,

• Develop, deploy, and maintain big data software solutions.
• Lead the development of a software architecture that supports the three Vs of big data (Volume, Velocity and Variety).
• Design and serve a “Dataplatform As A Service” for Analytics Engineers and business users.
• Ensure that the development best practices are followed.
• Develop and deploy Azure Services to support software development.
• Understand and run high-performance analytical database (Databricks)
• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Proficiency in Python and SQL.
• Strong understanding of object-oriented programming (OOP) and design patterns.
• Proficiency in programming languages such as .NET and Python.
• Experience with software development frameworks and libraries.
• Familiarity with version control systems such as Git.
• Knowledge of software testing and debugging methodologies.
• Ability to write clean, maintainable, and efficient code.
• Experience with agile development methodologies.

Responsibilities:

• Provide value-adding audit and business insights from data analysis using data analytic tools.
• Support routine data analytics (DA) using tools such as SQL, Python, Databricks and Tableau, as well as from advanced analytics, such as unsupervised and semi-supervised machine learning to detect unusual or anomalous patterns.
• Support ad-hoc or specialised assignments as needed.
• Support the maintenance of data in the GIA Datamart.
• Support audit engagements by scripting of data analysis procedures in SQL or Python using Databricks or Tableau platform, focusing on key risks and/or controls specific to the audit processes in scope, and uncovering meaningful insights for the audit team and management.
• Support audits within the organisation in accordance with the annual audit plan approved by the Group and Local Audit Committee.
• Prepare the working papers, draft audit reports, and other deliverables to meet internal standards and assignments are completed within budgeted time.

Experience/Qualifications:

• Minimum Bachelor’s degree. Major in Computer Science/ Data Analytics or equivalent would be an advantage.
• Minimum one year of data analysis and/or programming experience.
• Internal/external audit experience in the insurance, financial or a related industry would be an advantage.

Knowledge:

• Technical proficiency in SQL, Python, data processing, data visualisation tools (e.g. Tableau) is essential.
• Proficient in Machine Learning techniques, such as unsupervised machine learning, graph analytics is preferred.
• Knowledge of spark/Databricks is preferred.
• Strong project management and organisation skills.
• Excellent analytical, written/verbal communication, problem solving, presentation, interpersonal, and relationship building skills.

Other skills:

• Ability to work under pressure and meet milestones within time, cost and quality constraints.
• Ability to adapt to changes quickly and multi-task.
• Works well in a team environment.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

Team Introduction

The mission of the Data Platform Singapore Business Partnering (DPSG BP) team is to empower the TikTok Business with data. Our goal is to build a Data Warehouse that can cater to batch and streaming data, Data Products that provide useful information to build efficient data metrics & dashboards which will be used to make smarter business decisions to support business growth. If you're looking for a challenging ground to push your limits, this is the team for you!

As a data engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.

What you'll do:

- Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, and multi-dimensional analysis)

- Design and implement reliable, scalable, robust and extensible big data systems that support core products and business

- Establish solid design and best engineering practice for engineers as well as non-technical people

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.

- Visualise, interpret, and report data findings and may create dynamic data reports as well.

Qualifications

- Bachelor or Masters degree in Computer Science or related technical field or equivalent practical experience

- At least 3 years of experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.)

- Experience with performing data analysis, data ingestion and data integration

- Experience with schema design and data modeling

- Experience with ETL (Extraction, Transformation & Loading) and architecting data systems

- Experience in writing, analyzing and debugging SQL queries

- Experience in data privacy and security related projects.

- Deep understanding of various Big Data technologies

- Passionate and self-motivated about technologies in the Big Data area

- Solid communication and collaboration skills

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

HOW MIGHT YOU DEFY IMAGINATION?

Amgen is one of the world’s leading independent biotechnology companies. For over 4 decades, Amgen has pioneered biotechnology breakthroughs, to bring state-of-the-art medicines from laboratory to the patient. Amgen has not only discovered and developed innovative human therapeutics, but has invested in cutting edge manufacturing capability and support services to deliver these exciting therapies to medical teams around the world. Japan and Asia Pacific (JAPAC) is the fastest growing region in Amgen. Now we are hiring a Data Scientist in Amgen Singapore Manufacturing.

Data Scientist

Live

What you will do

As part of its global expansion strategy, Amgen has built a next generation biologics facility in Singapore and we are seeking to appoint well-qualified and experienced individual to assume the role of Data Scientist. This role reports into Digital Technology and Innovation (DTI). DTI function at Amgen Singapore Manufacturing (ASM) is responsible to deliver and maintain reliable, resilient, and secure digital, data, and technical capabilities. We are seeking candidates with a proven track record in data visualization, engineering & modelling to develop AI models, statistical and predictive models to uncover data insights to optimize efficiency and productivity for the site manufacturing operations.

The Data Scientist will provide end to end accountability of site Data governance & visualization strategies. The DS will support the data visualization requirement from the business and continually remediate, streamline current data and reporting gaps. The DS would partner with global DTI, Data teams and industry partners to explore and drive the adoption of emerging technologies in AI and Machine Learning.

Responsibilities:

• Collaborate with cross functional teams incl OE & network to analyze and co-create data models & algorithms that focus on gaining data insights to improve business process or value

• Design, write, and test data / ML pipelines / LLM and other advanced analytic / visualization or AI solutions.

• Prioritize & lead the implementation of internally developed and externally provided analytic solutions.

• Coordinate & project manage the delivery / development of data / ML pipelines / LLM and other advanced analytic / visualization or AI solutions.

• Collect business requirements / user stories for new or enhancements to existing analytic solutions.

Internal Use Only General and Administrative

• Translate business requirement / pain point to Machine Learning use case to resolve real world business problems

• Implement most recent algorithms and approaches for machine learning

• Initiates and participates in projects in prediction, optimization, and processes using advanced Deep Learning / Statistical / Mathematical approach

• Provide technical oversight and guidance to other Data Analytics team members

Win

What we expect of you

Qualifications

Basic Qualifications

• Doctorate degree in Computer Science, Software Engineering, Data Science, Statistics or Similar field OR

• Master’s degree in Computer Science, Software Engineering, Data Science, Statistics or Similar field and 2 years of directly related experience OR

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, Statistics or Similar field and 4 years of directly related experience OR

• Diploma and 8 years of directly related experience

• Certifications: Data Scientist, AI and Machine Learning

• Experience working in a regulated or GxP environment

• Experience with scripting and programming languages such as SQL,Python, Java, C++

• Experience with MLOps, NLP, Snowflake, deep learning frameworks like TensorFlow

• Experience developing or deploying Gen AI, LLM models like OpenAI, Vertex AI and Gemini

• Experience developing data visualization tools such as Tableau and Data Intelligence platform like Databricks

• Proven project management skills and demonstrated ability to execute and manage complex projects and programs

• Strong analytical and creative thinking skills for effective decision-making

• Strong communication, presentation, and executive presence skills

• A demonstrable ability to work in teams and serve as a technical mentor to junior team members

• Agility and flexibility to adapt to changing priorities.

• Experience working effectively in a globally dispersed team environment.

Your selection for this role will be subject to fulfilling the medical requirements of this job scope. If so, you will be informed of the medical check(s) that you may need to undergo. All medical related expenses incurred from this medical check shall be borne by the company.

Thrive

What you can expect of us

As we work to develop treatments that take care of others, so we work to care for our teammates’ professional and personal growth and well-being.

• Vast opportunities to learn and move up and across our global organization

• Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act

• Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits

Internal Use Only General and Administrative

Apply now

for a career that defies imagination

In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.

careers.amgen.com

Equal Opportunity Statement

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Administrator
• Working Location: Benoi
• Working Hours: 5 days (9 am-6 pm)
• Salary Package: Basic Salary $2,500 + AWS + PB + Transport Provided
• Duration: Permanent Role

Key Responsibilities

• Verify trailer/prime mover number, model, and company name.
• Check if an inspection is required and whether the customer uses our account or their own.
• Upload before and after repair photos, ensuring all billable items have photos.
• Review all WhatsApp messages to ensure every completed job is accounted for and submitted in Kintone.
• Verify repair/maintenance job scope. If issues are unclear, confirm with workshop workers to avoid preparing incorrect DO.
• List all job scopes from Kintone in the maintenance report.
• Email the maintenance report to the customer and billing department.
• Perform any other ad hoc tasks assigned by your superior.

APPLY NOW!!!

• Minimum ITE qualification.
• Minimum 1 year of experience in data entry or related field.
• Experienced in Kintone is advantageous.
• Excellent communication skills with clients.
• Willingness to learn.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #68538 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

About CapCut

CapCut is an all-in-one video editing app that empowers creators to express themselves and transform videos into creative masterpieces. In addition to its basic features, such as video editing, text, stickers, filters, colors and music, CapCut offers free advanced features, including keyframe animation, smooth slow-motion effects, chroma key, Picture-in-Picture (PIP), and stabilization to help you capture and snip moments.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

How we become the NO.1 video editing app

CapCut is an all-in-one video editing solution that helps you create incredible videos. With the mission of making content creation easier and more engaging, CapCut was first launched on mobile platforms in April 2020.

In less than a year, CapCut was released in Brazil, US, Indonesia, Japan and 170 countries/regions. To better serve the diverse needs, CapCut released its online and PC version in 2022. Starting in 2023, CapCut has continued to invest in AI technology to provide product features that are more accessible and easier to use.

As of today, CapCut's global monthly users have exceeded 500 million. It has remained at the top of the download list in several app stores.

Team Introduction

We are an incredible team with passion. We enjoy learning new things and taking on challenges. Team culture here is open and inclusive. Everyone can make things happen, good ideas will always win.

Today, we are continuously increasing investment in AI technology to make content creation much easier for everyone, and we always take the protection of user privacy and data security very seriously.

In CapCut , our goal is to build a Data Warehouse that can cater to batch and streaming data, Data Products that provide useful information to build efficient data metrics & dashboards which will be used to make smarter business decisions to support business growth. If you're looking for a challenging ground to push your limits, this is the team for you!

- Translate business requirements & end to end designs into technical implementations and responsible for building batch and real-time data warehouse

- Manage data modeling design, writing, and optimizing ETL jobs

- Collaborate with the business team to building data metrics based on data warehouse

- Responsible for building and maintaining data products

- Involvement in rollouts, upgrades, implementation, and release of data system changes as required for streamlining of internal practices

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.

- Visualise, interpret, and report data findings and may create dynamic data reports as well.

Qualifications

Minimum qualifications

- 5 years in software engineering and 2 years of relevant experience in data engineering.

- Proficient in creating and maintaining complex ETL pipeline end-to-end while maintaining high reliability and security.

Preferred qualifications

- Familiar with data warehouse concept and have production experience in modeling design.

- Familiar with at least 1 distributed computing engine (e.g. Hive, Spark, Flink).

- Familiar with at least 1 NoSQL database is a plus (e.g. HBase).

- Excellent interpersonal and communication skills with the ability to engage and managing internal and external stakeholders across all levels of seniority .

- Strong collaboration skills with the ability to build rapport across teams and stakeholders.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

About Us

Green Link Digital Bank is Singapore’s inaugural wholesale digital bank focusing on supply chain finance, mainly serving MSMEs and aiming to help MSMEs grow and improve digitization.

We are seeking a detail-oriented and analytical Data Analyst Intern to join our team. The successful candidate will assist in collecting, analysing, and interpreting data to inform business decisions.

Internship Duration: At least 6 months

Responsibilities

1. Data Collection

• Gather data from various sources (e.g., databases, spreadsheets, external sources).
• Ensure data accuracy, completeness, and consistency.

2. Data Analysis

• Perform basic statistical analysis and data modelling.
• Identify trends, patterns, and correlations in data.

3. Data Visualization

• Create reports, dashboards, and visualizations to communicate insights.
• Use tools like Excel, SQL, or Power BI.

4. Data Quality

• Identify and address data quality issues.
• Develop and implement data validation processes.

5. Collaboration

• Work closely with stakeholders to understand business requirements.
• Provide insights and recommendations to support business decisions.

Requirements

• Currently pursuing a degree in a quantitative field (e.g., mathematics, statistics, computer science).
• Strong analytical, problem-solving, and communication skills.
• Proficiency in Microsoft Office (Excel, Word, PowerPoint).
• Familiarity with data analysis tools (e.g., SQL, Power BI).
• Ability to work in a team environment.

Nice to Have

• Experience with programming languages (e.g., Python).
• Knowledge of data management principles and practices.
• Familiarity with machine learning and predictive analytics.

Job descriptionand skillset Requirements:

• Possess a degree in Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• Possess 1 to 3 years of relevant IT working experience.
• Experience in managing data reconciliation/quality checks/dashboarding (implementation, monitoring and troubleshooting).
• Ensure that the data issues are actively detected, tracked, and fixed without breaching SLA.
• Hands on experience in Snowflak and Tableau.
• Experience in performing User Acceptance Testing (UAT).
• Experience in in providing documentation support, e.g. in technical/functional specifications.
• Able to work closely with business end-users, data vendors, data product team and data engineers to facilitate ingestion of new data and provide support existing data while adhering to our established data framework processes.
• Able to provide clear requirements and collaborate with data engineers to enable robust and scalable design of data solutions for data ingestion and management across our diverse range of datasets.
• Experience in designing test approach and performing UAT for changes and/or enhancements.

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

We believe that challenges are best solved together. That’s why, when you join us, you become part of a diverse and global community of problem-solvers. You'll find an unexpected mix of people who bring their unique expertise to build trust in society and tackle important issues. Here, we welcome and encourage you to lead with value and inspiration, question and challenge assumptions, as well as embrace new opportunities to deliver quality outcomes in exciting and unexpected ways, all with the support of technology.

At PwC South East Asia Consulting, we help businesses to work smarter and grow faster. We partner with our clients to build effective organisations, innovate and grow, reduce costs, manage risk and regulation and, leverage talent. Our aim is to support businesses in designing, managing and executing lasting beneficial change.

PwC’s South East Asia Consulting practice provides a comprehensive range of professional services and experience to deliver large scale, cross territory transformation projects, wherever our clients need us to be – from strategy through to execution.

About the Role

As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Encourage everyone to have a voice and invite opinion from all, including quieter members of the team.
• Deal effectively with ambiguous and unstructured problems and situations.
• Initiate open and candid coaching conversations at all levels.
• Go to person
• Move easily between big picture thinking and managing relevant detail.
• Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required.
• Contribute technical knowledge in area of specialism.
• Contribute to an environment where people and technology thrive together to accomplish more than they could apart.
• Navigate the complexities of cross-border and/or diverse teams and engagements.
• Initiate and lead open conversations with teams, clients and stakeholders to build trust.
• Uphold the firm's code of ethics and business conduct.]

About You

• More than 15 years of experience in life insurance centered around data platforms
• Understanding of data in life insurance systems: Policy Admin, Claims, Reinsurance and thers.
• Understanding of life insurance data models and domains: Policy,Customer,Fund, Document and others.
• Understanding of work involved in delivering a data platform: Source system analysis,Data profiling,Creating source to target mapping and others
• High level understanding of technology data platform components:Ingestion,Metadata driven pipeline, DQ service
  Gold, silver, bronze layer and others
• Results oriented and self-starter
• Superior attention to detail
• Ability to multitask and work under pressure
• Good analytical and communication skills
• Strong work ethics
• Committed and responsible

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Entry (Part Time)
• Working Location: Jurong East
• Working Hours: 2-3 days (Tuesday, Thursday 8.30 am – 5.30 pm)
• Salary Package: Basic $1,000
• Duration: 2 months

Key Responsibilities

• Assist in entering Purchase Orders (P/O) for every sales entry.
• Maintain accurate and up-to-date sales records.
• Ensure data integrity and consistency in the sales admin system.
• Support the sales admin team with additional data entry tasks as needed.
• Perform routine checks to ensure all entered data is complete and accurate.

APPLY NOW!!!

• Previous experience in data entry is an advantage.
• Proficient in basic computer applications, such as Microsoft Office.
• Detail-oriented with a high level of accuracy.
• Good organizational and time management skills.
• Ability to work independently and as part of a team.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #67480 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781