Total 777 Information Technology job vacancies

Reporting into the Supply Chain Services Manager, Supply Chain Services Team is responsible for the design, deployment and adherence to key systems, tools and processes used by our client’s Global Supply Chain Teams. As a key member of this dedicated team, you’ll play a vital role in managing and enhancing these systems and processes, ensuring that they effectively empower our client’s Global Supply Chain operations.

As a key member of the team, you will ensure the seamless operation and improvement of our client’s Supply Chain Services Programs. Reporting directly to Supply Chain Services as an individual contributor, you will play a pivotal role in maintaining, supporting, and advancing our client’s applications.

Job Responsibilities

Maintenance and Support

• Develop new and maintain or update existing Power Apps and Power Automate flows for peak performance.

• Keep a close eye on application health, addressing issues swiftly and implementing enhancements.

• Identify and evaluate opportunities for improvement, ensuring accuracy in data and reports.

Issue Resolution

• Provide expert assistance to associates using Power Apps, Power Automate flows, Power BI, and SharePoint.

• Diagnose and resolve application issues promptly, documenting solutions for future reference.

User Training and Documentation

• Empower associates by training them on Supply Chain tools and applications.

• Develop and maintain user guides, FAQs, and conduct training sessions to ensure user proficiency.

Collaboration

• Work closely with the Program Lead to align on application requirements and updates.

• Participate in team meetings, contributing to the enhancement of processes and tools.

Compliance

• Ensure all activities comply with company policies and procedures.

Requirements:

• Proficiency with Power BI, Power Apps, and Power Automate.

• Innovative approach to solving complex enterprise challenges.

• Ability to convey technical information to non-technical users.

• Meticulous approach to data accuracy and application performance.

• Good foundational skills in HTML/CSS.

• Deep understanding of best practices in database management.

• Skills in SQL DB, Data Engineering, Data Analytics & python programming.

• Excellent stakeholder management and communication abilities.

• Solid grasp of analytical tools.

• Quick learner, adept at adjusting to new technologies and requirements.

• Knowledge of key business processes within supply chain is a plus.

We are hiring the headcount under Recruit Express.

1. Support General Price Increase (GPI) Exercise

• Assist in compiling monthly incentive plans for Global Customers’ GPI review.

• To clarify pricing terms.

2. Maintenance of Rates

• Support rate setup or updates in Express Billing

• Assist in the central implementation of the annual general price increase for Global Customers.

• Cross-check rates update in GRE to ensure accuracy

3. Maintenance of Global Agreements

• Maintain and review fuel terms for Global Customers, executing updates and communicating changes to Sales.

• Support post-activation maintenance activities

• Update Global Customer Agreement information

Requirements:

• Diploma/Degree (preferred) in any field with strong analytical background

Interested candidates please send in your resume to:

Reina Patricia Johan
Outsourcing Team
Recruit Express Pte Ltd
Email: reina@recruitexpress.com.sg

EA License No: 99C4599

• Support data management and enhancement activities to improve data accuracy and usability

• Maintain and develop data warehouse and data automation processes

• Collaborate with internal stakeholders to gather business and system requirements

• Support system implementation, integration, and user testing activities

• Prepare and document business requirements and data specifications

• Monitor data quality and investigate discrepancies for continuous improvement

• Ensure reliable data availability for reporting and business analysis

• Assist in projects related to information systems and data initiatives

Interested applicants may email resume to kellychooi@recruitexpress.com.sg

Chooi Kelly (CEI Registration No: R25136207)

Recruit Express Pte Ltd (EA: 99C4599)

We regret only shortlisted candidates will be contacted

Key Responsibilities

Integration & Workflow Engineering

• Analyse and re-platform existing workflow-based integrations from one platform to another while maintaining functional parity.
• Implement orchestration logic including triggers, conditional routing, retries, exception handling, and state management.
• Design and implement automation patterns to handle platform limitations (e.g., looping, batching, pagination, throttling).
• Ensure workflows are idempotent, fault tolerant.
• Support environment-based deployments (DEV / UAT / PROD) with configuration-driven designs.

Data Engineering & ETL

• Design and build ETL pipelines for ingesting flat files (e.g., CSV) into relational databases.
• Handle schema validation, basic schema evolution, data quality checks, and error reconciliation.
• Optimize data ingestion for performance, scalability, and reliability.
• Collaborate with application teams to understand upstream and downstream data dependencies.

Cloud & Big Data Platform Contributions

• Build and maintain data pipelines on cloud-based big data platforms using distributed processing frameworks.
• Contribute to Lakehouse-style data storage that supports both batch and streaming data.
• Work with modern table formats that support incremental processing, versioning, and historical queries.
• Support use cases such as append-heavy datasets, high-write event data, and analytical queries.

Operations, Quality & Observability

• Implement logging, monitoring, and alerting for workflows and data pipelines.
• Support operational readiness including runbooks, deployment procedures, and rollback strategies.
• Participate in root-cause analysis and continuous improvement of data pipelines.
• Ensure adherence to data governance, security, and compliance standards.

Required Skills & Experience

Technical Skills

• Strong experience with workflow orchestration / integration platforms.
• Solid understanding of ETL concepts and hands-on experience with file-based ingestion.
• Proficient in SQL and working knowledge of relational databases (e.g., SQL Server or equivalent).
• Experience with distributed data processing frameworks (e.g., Spark).
• Familiarity with streaming and batch data processing concepts.
• Practical experience with cloud platforms and managed data services.
• Understanding of CI/CD principles for data and integration workflows.

Programming & Automation

• Experience with scripting or programming languages commonly used in data engineering (e.g., Python).
• Ability to build reusable utilities for batching, retries, pagination, and error handling.
• Experience with REST APIs and structured data formats (JSON, CSV).

Desired (Good to Have)

• Exposure to modern Lakehouse table formats supporting incremental processing and time travel.
• Experience with stream processing engines (e.g., Flink or Spark Streaming).
• Familiarity with query engines used for analytical access.
• Experience working in regulated environments (banking, financial services, or manufacturing).
• Knowledge of data observability and quality frameworks.

Experience Level

• Typically, 3–5 years of relevant experience in data engineering, integration engineering, or similar roles.
• Proven ability to work independently on moderately complex problems while collaborating within a larger team.

Soft Skills & Competencies

• Strong analytical and problem-solving skills.
• Ability to understand existing systems and translate requirements into working solutions.
• Clear communication with technical and non-technical stakeholders.
• Detail-oriented with a focus on reliability and maintainability.
• Comfortable working across multiple teams and applications.

Summary

The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing. The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple’s devices and services on the cloud.

As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.

You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple’s AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.

Description

As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities:

• Analyzing search ranking and relevance requirements, issues and opportunities
• Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple’s AI powered products
• Conducting applied research to transfer the pioneering research in generative AI to production ready technologies
• Understanding product requirements, translate them into modeling tasks and engineering tasks
• Building machine learned models for search relevance, ranking and query understanding problems
• Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc.
• Building end-to-end production system including query understanding and ranking to power search
• Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing

Minimum Qualifications

• PhD, MS or equivalent experience
• Experience in machine learning, deep learning, information retrieval, natural language processing or data mining
• Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.
• Proficiency in one of following languages: Python, Go, Java, C++

Preferred Qualifications

• Excellent data analytical skills
• Good interpersonal skills and team player
• PhD preferred

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Summary

The AIML Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing. The features we create are redefining how hundreds of millions of people use their computers and mobile devices to search and find what they are looking for. Our universal search engine powers search features across a variety of Apple products, including Siri, Spotlight, Safari, Messages and Lookup. We also develop innovative generative AI technologies based on Large Language Model to power innovative features in both Apple’s devices and services on the cloud.

As part of this group, you will be doing large scale machine learning and deep learning to improve Query Understanding and Ranking of search and developing fundamental building blocks needed for Artificial Intelligence. This involves developing sophisticated machine learning models, using word embeddings and deep learning to understand the quality of matches, online learning to react quickly to change, natural language processing to understand queries, taking advantage of petabytes of data and signals from millions of users and combining information from different sources to provide the user with results that best satisfies their intent and information seeking needs.

You will also work with researchers and data scientists to develop, fine-tune, and evaluate domain specific Large Language Models for various tasks and applications in Apple’s AI powered products, also conduct applied research to transfer the groundbreaking research in generative AI to production ready technologies.

Description

As a member of our fast-paced group, you’ll have the unique and rewarding opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning, NLP experience and solid engineering skills in creating outstanding search and NLP services. This role will have the following responsibilities:

• Analyzing search ranking and relevance requirements, issues and opportunities
• Developing, fine-tuning, and evaluating domain specific Large Language Models for various tasks and applications in Apple’s AI powered products
• Conducting applied research to transfer the pioneering research in generative AI to production ready technologies
• Understanding product requirements, translate them into modeling tasks and engineering tasks
• Building machine learned models for search relevance, ranking and query understanding problems
• Integrating search functions into Apple products, such as Siri, Spotlight, Safari, Messages, Lookup, etc.
• Building end-to-end production system including query understanding and ranking to power search
• Applying Spark, Hadoop MapReduce, Hive, Impala to perform distributed data processing

Minimum Qualifications

• PhD, MS or equivalent experience
• Experience in machine learning, deep learning, information retrieval, natural language processing or data mining
• Experience of prompt engineering, fine-tuning, evaluating, and developing data collection/annotation/management tooling for LLMs.
• Proficiency in one of following languages: Python, Go, Java, C++

Preferred Qualifications

• Excellent data analytical skills
• Good interpersonal skills and team player
• PhD preferred

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

About the Team:

Shopee's Data Product Management team is looking for data talents to design, build, and enhance data marts and data products in our e-commerce ecosystem. Both Data Marts and Data Products play a key role in facilitating and maximising the effectiveness of data to provide our users better experience with Shopee.

Job Description:

• Own and drive the product roadmap for various data marts and data products supporting both internal and external data users.

• Collaborate closely with various stakeholders to implement product enhancements that fulfill user and business requirements.

• Prioritize user requests and deliver high-quality Product Requirements Documents (PRDs) that clearly outline goals, scope, user scenarios, analytics frameworks, and data logic to meet user needs.

• Work in partnership with other product teams, engineering teams, and project managers to drive feature releases while ensuring quality, speed, and sustainability.

• Promote and increase the usage of data marts and data products among regional and local data users through initiatives such as conducting sharing and training sessions and creating and maintaining user guides.

• Serve as the data domain expert for your portfolio.

Job Requirements:

• Bachelor's Degree in Computer Science 

• At least 3 years of full time product management / technical product management experience 

• Prior experience working with data warehouse or data mart is preferred

• Experience in SQL, creating dashboard using BI tools is preferred

• Excellent analytical, logical thinking, problem solving, stakeholder management, project management, product sense, communication and writing skills

• Ability to work in a dynamic and agile environment

• Energetic, positive attitude and an effective team player

• Attached to Private Wealth Department
• Create and maintain client static data in the system
• Scanning and archiving of client onboarding and periodic review documentation
• Perform mark-to-market pricing on securities
• Create and maintain asset static data in the system
• Other miscellaneous administrative role within the team

Joy Yeow Zhi Qian
(CEI Registration No: R2096261)
Recruit Express Pte Ltd (EA Licence No: 99C4599)

Location: Kallang Sector (Geylang Bahru/Potong Pasir)

Duration: 12 months contract

Working Hours: Monday - Friday, 8.30am -6pm

(May be required to work beyond 6pm and during weekends when necessary, only during peak period)

Salary: Up to $3100 + 1 month completion bonus

Job Responsibilities:

• Provide high quality customer service and professionalism when calling consumers to schedule appointments or for any matters
• Take ownership of managing excel spreadsheets / database including updating schedules, works carried out etc in the system
• Plan and deploy contractors and teams based on the latest updates in the excel spreadsheets / database
• Actively collaborate with various stakeholders and teams when handling issues
• Communicate effectively with consumers and stakeholders to ensure satisfactory and timely resolutions
• Continuously improve and enhance the spreadsheets / database for easier updating of records and generation of various reports
• Generate reports for various stakeholders
• Any other duties as assigned

Job Requirements:

• Minimum Diploma in any field
• Prior experience in customer service or a related role
• Highly proficient in Microsoft Excel (e.g. formulas, Macro, basic analysis) and comfortable working with large datasets.

Interested applicants may email resume to kellychooi@recruitexpress.com.sg

Chooi Kelly (CEI Registration No: R25136207)

Recruit Express Pte Ltd (EA: 99C4599)

We regret only shortlisted candidates will be contacted

Location: Kallang Sector (Geylang Bahru/Potong Pasir)

Duration: 12 months contract

Working Hours: Monday - Friday, 8.30am -6pm

(May be required to work beyond 6pm and during weekends when necessary, only during peak period)

Salary: Up to $3100 + 1 month completion bonus

Job Responsibilities:

• Provide high quality customer service and professionalism when calling consumers to schedule appointments or for any matters
• Take ownership of managing excel spreadsheets / database including updating schedules, works carried out etc in the system
• Plan and deploy contractors and teams based on the latest updates in the excel spreadsheets / database
• Actively collaborate with various stakeholders and teams when handling issues
• Communicate effectively with consumers and stakeholders to ensure satisfactory and timely resolutions
• Continuously improve and enhance the spreadsheets / database for easier updating of records and generation of various reports
• Generate reports for various stakeholders
• Any other duties as assigned

Job Requirements:

• Minimum Diploma in any field
• Prior experience in customer service or a related role
• Highly proficient in Microsoft Excel (e.g. formulas, Macro, basic analysis) and comfortable working with large datasets.

Ally (Kubota Ayako)
CEI Reg. No. R26161457
EA Lic: 99C4599
Recruit Express Pte Ltd

Key Highlights:

• Office Hours: Monday-Friday
• Nearest MRT: Outram Station
• Be a part of a public sector team supporting citizen engagement, appeals assessment, service delivery improvements, and data driven projects involving CRM systems, AI tools, and analytics.

Key Responsibilities:

• Handle enquiries and assess appeals from members of the public regarding government related schemes.
• Review cases fairly and thoroughly, ensuring accurate evaluation and proper follow up.
• Liaise with public agencies and internal stakeholders to gather information and coordinate responses.
• Manage complex cases requiring detailed analysis and multi stakeholder coordination.
• Support process improvement initiatives and system enhancement projects to improve service delivery.
• Assist in projects involving CRM systems, AI tools, data analysis, and retrieval augmented generation implementation.
• Conduct data analytics on public service queries and prepare useful insights for reporting.
• Support reporting metrics, performance tracking, and presentation of data insights to stakeholders.
• Perform other administrative duties as assigned.

Key Requirements:

• Degree holder with at least 1 year of relevant experience.
• Experience in case management, customer service, public administration, citizen engagement, or appeals processing.
• Prior experience liaising with public agencies or managing multi stakeholder coordination will be advantageous.
• Good written and verbal communication skills.
• Able to work independently, manage priorities, and handle multiple tasks effectively.
• Analytical, detail oriented, adaptable, and resourceful.
• Proactive in problem solving and keen to learn new tools or systems.
• Basic Python programming skills are required.
• Some experience with regular expressions for text cleaning, pattern matching, or data extraction from unstructured text.
• Experience in reporting metrics, generating performance reports, or presenting data insights will be advantageous.

Only shortlisted candidates are notified. Thank you.

By submitting your resume or personal data, you consent to BGC Group Pte Ltd collecting, using, and disclosing your personal data to our clients and partners for the purpose of evaluating your suitability for job opportunities and related recruitment services. You acknowledge that you have read, understood, and agree to our Privacy Policy for Job Applicants, available at https://bgc-group.com/notice-for-job-applicants.

BGC Group Pte Ltd (Outsourcing Department)

EA 05C3053

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

About the role

We are seeking a Salesforce Data Analyst to support large-scale system integration projects involving Salesforce and multiple external systems.

You will start by assisting in data mapping and integration work between Salesforce and APIs (e.g. MuleSoft), gaining hands‑on exposure to how data flows across systems. This includes understanding Salesforce data models, integration payloads, and transformation logic.

You will also support testing activities (SIT/UAT) and work closely with experienced consultants across Salesforce, integration, and functional teams.

Over time, this role can evolve into a Business Analyst or Developer track, depending on project needs and your interests.

This role is suited for individuals who are detail-oriented, structured, and proactive, and who are interested in understanding how enterprise systems connect and operate end‑to‑end.

Responsibilities

Data Mapping & Integration Support

• Work closely with functional, integration (MuleSoft) and data migration teams to support end‑to‑end delivery.
• Assist in mapping data between Salesforce objects and external systems via APIs.
• Analyse field definitions, data structures, and relationships across systems.
• Support the documentation of data templates, mappings, transformation logic and integration requirements.
• Work with senior consultants to clarify data inconsistencies, edge cases, and validation rules.
• Review API payloads (JSON/XML) to understand how data is exchanged between systems.
• Perform data patching when required.
• Maintain clear and well-structured documentation such as data mapping sheets, integration specifications (functional level), test scenarios and results.

Requirements & Functional Support

• Support requirement discussions with business and functional teams to understand data-related needs.
• Assist in documenting simple user stories, process flows, and data-related requirements.
• Translate business requirements into structured data or integration-related inputs.

Testing & Quality Assurance

• Support requirement discussions with business and functional teams to understand data-related needs.
• Assist in documenting simple user stories, process flows, and data-related requirements.
• Translate business requirements into structured data or integration-related inputs.

Requirements

Must have skills and experience

• Interest in data, systems, or integration work.
• Strong attention to detail and ability to work with structured information.
• Ability to analyse and compare data across different sources.
• Good logical thinking and problem-solving skills.
• Able to follow through on tasks and track details consistently.
• Comfortable working with multiple teams and stakeholders.

Good to have

• Basic understanding of databases, data structures, or APIs.
• Familiarity with JSON, XML, or Excel-based data mapping.
• Exposure (academic or internship) to system integration, business analysis, or testing.
• Interest in Salesforce, cloud platforms, integration or enterprise systems.

Ways of working

• Work collaboratively within an agile, sprint-based build delivery environment.
• Learn by supporting senior consultants.
• Take ownership of assigned data mapping and testing tasks, ensuring accuracy and completeness.
• Communicate proactively on progress, issues, and dependencies.
• Be comfortable working with detailed, structured tasks that require consistency and attention.

Success measures

• Produce accurate and complete data mapping documentation with minimal supervision.
• Understand Salesforce data models and basic integration flows.
• Support testing cycles with minimal errors in data validation.
• Proactively follow up on issues and close assigned tasks.
• Communicate clearly and build working relationships across teams.
• Demonstrate reliability, attention to detail, and ownership in day‑to‑day work.

Education

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience

Let's talk about what's in it for you!

Passionate people are Capgemini's Ace of Spades - join us to discover a career that will challenge, support and inspire you. Working at Capgemini you'll find the rewards are more than just financial. You will work alongside some very smart and inspiring people on exciting projects and you will also enjoy incredible benefits. We offer flexible work practices and 40 hours of self-development every year with a huge selection of learning opportunities to choose from.

As "Architects of Positive Futures", Capgemini actively supports the community in 3 ways:

Diversity and Inclusion - we believe diversity of thought fuels excellence and innovation, which is why we positively encourage applications from suitably qualified candidates regardless of their gender identity, ethnicity, sexual orientation, religion, ability, intersex status or age. To support our commitment to diversity and inclusion, we celebrate special events and days of significance that are important to our employees such as Diwali, Bastille Day, Pride, IDAHOBIT, IWD and International day of people with Disabilities. Our Employee Resource Groups Women@Capgemini and OutFront support the grassroots passion of employees to drive our diversity agenda and effect change.

Digital inclusion - at Capgemini we are using our skills to drive social impact initiatives focusing on helping society address the impact of the digital and automation revolution. We also provide employees with opportunities to give back to the community through charity projects and volunteer days.

Environmental Sustainability - Capgemini joined the CDP's (Carbon Disclosure Project) prestigious "A list" for its commitment to the Net-Zero economy. We are focusing on helping our clients transform towards more sustainable business models and committing to reduce our own carbon emissions (GHG) by 20% per employee by 2020.

Recognised by Ethisphere as one of the World's Most Ethical Companies for the last 8 years in a row, ethics and values are at the heart of Capgemini's corporate culture and business. Embedded in our DNA, our seven values - Honesty, Boldness, Trust, Team Spirit, Freedom, Fun and Modesty - have remained the same since company inception in 1967. To see how we bring these values to life, click here to listen to some of our employee’s stories.

Come join us, bring your whole self to work, create new possibilities for you, your customers and your community and help us to be Architects of Positive Futures.

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are on the lookout for a Manager in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP) and Generative AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.

Role Overview:

As a Manager, NLP and Generative AI, you will play a crucial role in the development and implementation of cutting-edge NLP solutions that address significant business challenges. Working closely with cross-functional teams, you will leverage your expertise in NLP to enhance our product offerings and streamline operational processes. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Key Responsibilities:

• Lead the design and development of NLP and Generative AI projects, ensuring alignment with business objectives and scalability across the organization.
• Conduct applied research in NLP to identify and deploy advanced techniques that enhance our data science capabilities, focusing on delivering practical business solutions.
• Foster a culture of innovation by staying abreast of the latest trends in AI and NLP, and actively sharing knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Manage project timelines, resources, and deliverables using agile methodologies, ensuring efficient progress from conception to deployment.
• Collaborate with the Technology team to integrate NLP solutions into our existing systems and platforms, enhancing functionality and user engagement.

Qualifications:

• Ph.D. degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Extensive experience in machine learning, NLP, and Generative AI, with a demonstrated ability to manage projects from inception to completion.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects that have delivered tangible business outcomes.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Solid understanding of agile project management principles, with experience leading teams and managing projects in a fast-paced environment.
• Excellent communication and leadership skills, with the ability to collaborate effectively with both technical and non-technical teams.
• Strong problem-solving abilities, with a creative and analytical approach to tackling challenges and driving results.

Responsibilities：

• Take full ownership of the comprehensive data analysis for core game products.
• From business and product perspectives, leverage data to identify game issues and bottlenecks, deliver actionable insights, and drive game optimization initiatives.
• Track the progress of A/B experiments, ensure the reliability and validity of experiment results, and provide targeted recommendations for product iteration.
• Apply machine learning algorithms to analyze user behavior data, optimize the user lifecycle funnel, and achieve user growth targets.
• Institutionalize analytical frameworks and methodologies, and deliver analysis templates or requirements for data products

Qualifications：

• Bachelor’s degree or above in Computer Science, Mathematics, Statistics, Economics, Finance, Physics, Communications Engineering or related disciplines.
• Proficiency in full-spectrum SQL skills, especially window functions; ability to apply common machine learning algorithms in Python/R to solve modeling problems.
• Solid foundation in statistics, with a clear understanding of the application of statistical methods in A/B experiments.
• Exceptional self-motivation, self-learning capability, logical thinking, and the ability to solve problems independently.
• Passion for games and data analysis work; strong data sensitivity and analytical insight; excellent teamwork and communication skills

We specialize in global casual games. As we undergo rapid business expansion, we have multiple openings available and are actively seeking top-tier talent across the industry!

• Up till $3,500 Basic + Bonus

• 5 days work week

• No experience welcomed
  

Our Client, a leading supplier of sensors, measuring systems, laser markers, microscopes, and machine vision systems worldwide, is inviting qualified candidates to fill the position as Data & Marketing Officer.

RESPONSIBILITIES:

• A chance to make a significant impact with your data analysis skills from the very beginning, increasing company performance

• Creating data to serve as a foundation for sales analysis and market development using software from Microsoft, SAP, and Keyence’s own software

• Not just updating existing data, but using it to guide sales direction and actions

• In the Marketing department, tasks include promotional actions, lead generation, and contributing to sales strategies. This position is suitable for those eager to gain a wide range of experiences in all B2B marketing initiatives
  

REQUIREMENTS:

• Degree in Marketing, Business and Engineering

• At least 1 year of relevant experience

• No experience are welcomed to apply

• No data analysis experience is fine as long willing to learn

• Must possess proficiencies in Excel and PBI/Tableau.

• Power Automate will be a plus

Key Responsibilities

·      Lead the design and implementation of ESG data, reporting, and analytics solutions across the organization.

·      Define technical architecture, data models, and integration frameworks for ESG data platforms.

·      Collaborate with business stakeholders, sustainability teams, and technology teams to translate ESG reporting requirements into scalable technical solutions.

·      Provide technical leadership to data engineering, analytics, and data science teams throughout the solution lifecycle.

·      Drive the development of ESG dashboards, KPIs, scorecards, and performance monitoring frameworks.

·      Oversee the ingestion, transformation, validation, and management of ESG datasets, including carbon emissions, sustainability metrics, and regulatory reporting data.

·      Establish and enforce ESG data governance, data quality, metadata management, and reporting standards.

·      Ensure ESG solutions align with global reporting frameworks and regulatory requirements, including GRI, SASB, TCFD, ISSB, and other emerging standards.

·      Review technical designs, code, and implementation approaches to ensure scalability, reliability, and maintainability.

·      Lead system integration efforts across internal and external ESG data sources and reporting platforms.

·      Support advanced analytics initiatives, including predictive modeling, sustainability insights, and ESG risk analysis.

·      Manage technical delivery, project planning, risk management, testing, and production deployments.

·      Mentor technical team members and promote best practices in data engineering, analytics, and ESG technology solutions.

·      Act as the primary technical advisor for ESG-related initiatives and stakeholder engagements.

Required Skills and Experience

·      Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Sustainability, Finance, or a related discipline.

·      5+ years of experience in data, analytics, or technology delivery roles, with at least 2 years in a technical leadership capacity.

·      Strong understanding of ESG concepts, sustainability reporting frameworks, and regulatory requirements.

·      Proven experience designing and delivering enterprise-scale data and analytics solutions.

·      Strong expertise in data architecture, data modeling, ETL/ELT processes, and data governance frameworks.

·      Hands-on experience with data visualization and analytics platforms such as Power BI or Tableau.

·      Proficiency in SQL and working knowledge of Python or R for data analysis and automation.

·      Familiarity with cloud-based data platforms and modern data engineering technologies.

·      Experience leading cross-functional teams within Agile delivery environments.

·      Strong knowledge of data quality, master data management, and reporting controls.

·      Excellent stakeholder management, communication, and leadership skills.

·      Ability to bridge business objectives with technical implementation and drive successful project outcomes.

Preferred Qualifications

·      Experience within financial services, banking, consulting, or sustainability-focused organizations.

·      Exposure to ESG data providers, sustainability reporting platforms, or regulatory reporting systems.

·      Knowledge of machine learning, predictive analytics, or advanced statistical modeling techniques.

·      Relevant certifications in ESG, sustainability reporting, cloud technologies, or data management are advantageous.

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd
EA License No: 20C0270
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Job Summary

· Role: Combine data analysis and marketing leadership to build the foundational datasets and insights that drive sales analysis and market development using Microsoft, SAP, and software.

· Objective: Build and maintain the datasets and reports that define sales direction; turn those data-driven insights into targeted marketing and sales actions and guide and execute those initiatives.

· Marketing scope: Lead integrated B2B marketing activities — promotional planning, lead generation, and sales enablement — and guide the marketing team toward measurable growth.

Key Requirements

Skills:

· Proficiency in Excel and Power BI or Tableau; experience building reports and dashboards.

· Knowledge of Power Automate is a plus.

Experience & qualifications

· Minimum 4-7 years of relevant experience for Senior Executive level.

· Proven, data-driven marketing, campaign executive, and lead-generation experience.

· Demonstrated leadership potential: able to set direction, guide sales priorities and actions, and drive execution.

· Minimum Bachelor’s degree. Degree in Marketing, Business and Engineering will be prioritized.

Personal qualities

· Proactive in proposing ideas for sales performance improvement

· Curious to investigate the reasons behind any outcomes

· Purpose-driven mindset, always questioning the 'why' behind actions

· High hospitality standards, akin to a first-class hotel, understanding and anticipating others' needs

· Ready to take immediate action

· Meticulous and likes to double-check completed assignments, committed to thoroughness in achieving decided objectives

What We Offer

· Culture: Empowerment within the scope of data performance, flat hierarchy, respect for frontliners' opinions, teamwork in problem-solving

· Environment: A hardworking and talented team, a company where diligent and steady performers thrive, rational and grounded in reason

We are looking for an experienced Data Scientist (AI focused). In this role, you will drive impactful data initiatives across the organization.

Key Responsibilities:

• Lead the development and implementation of data science strategies to support key business decisions and operational enhancements. 
• Design, build, and deploy advanced analytical models using tools like SQL, Tableau, Hive, and Presto to derive actionable insights from large datasets.  
• Mentor and collaborate with data scientists and analysts to foster a culture of continuous learning and analytical excellence. 
• Communicate complex findings effectively to both technical and non-technical stakeholders, including senior leadership. 
• Develop and maintain reporting systems, dashboards, and metrics to enable scalable and efficient operations, while driving innovation and process improvements..

Qualifications:

• Bachelor's degree required, along with 2-4 years of experience supporting operations in a technical environment.  
• Strong understanding of operational metrics and KPIs to evaluate team success and performance.  
• Technical proficiency in SQL, including creating, optimizing, and maintaining complex queries, as well as experience with Big Data tools such as Tableau, Hive, Presto, R, and Python.  
• Proven ability to translate complex data into compelling narratives and strategic insights through effective data storytelling.  
• Deep knowledge of reporting systems, data pipeline architecture, and best practices in data visualization to support decision-making.  
• Excellent communication skills, both written and verbal, capable of influencing stakeholders across all organizational levels.  
• Additional qualifications include domain expertise in Customer Operations or similar areas, experience analyzing large databases, a track record of driving business impact through data science, and proficiency in leveraging AI tools

Interested candidates may apply through the application system or send it to sg-rscontracting@morganmckinley.com. Shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to Morgan Mckinley Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.morganmckinley.com/sg/privacy-policy. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Morgan McKinley Pte Ltd
Koh Boon Sien
EA Licence No: 11C5502
EA Registration No. R1110345

Job Description

• Industry/ Organization Type: Cleaning/ Maintenance Services
• Position Title: Data Centre Cleaning & Maintenance Technician
• Working Location: Islandwide
• Working Hours: 6 days (Mon-Sat, 9am – 6pm)
• Salary Package: Basic + OT + Performance Bonus + Extra 2 days Leave/ month
• Duration: Permanent

Key Responsibilities

• Carry out cleaning tasks at assigned sites (e.g. vacuuming, mopping, disinfecting, etc.)
• Support installation works as instructed.
• Inform supervisors when supplies are low, equipment is damaged, or facility issues need repair.
• Assist with deliveries.
• Perform general housekeeping in the warehouse and storage areas.
• Follow safety and cleanliness requirements.
• Use cleaning and maintenance equipment safely and properly.
• Perform any other duties assigned by the Manager or Management.

APPLY NOW!!!

• Comfortable using cleaning tools and equipment.
• Willing to learn and adapt to different tasks and responsibilities.
• Basic English skills (able to read instructions and communicate).
• Willing to work overtime when needed, including after hours and weekends.
• Able to work well in a team and independently with minimal supervision.
• Good communication skills; responsible and reliable.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #82315 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 the job

Reporting to the Data and Analytics Lead, the successful candidate will be responsible for the following:

Data Management & Transformation

• Designing and developing new data pipelines and managing existing data pipelines that extract data from various business applications, databases, and external systems.
• Implementing data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
• Transforming data into the desired format by applying data cleansing, aggregation, filtering, and enrichment techniques.
• Establishing the governance of data and algorithms used for analysis, analytical applications, and automated decision-making.
• Manage the logical and physical data models to capture the structure, relationships, and constraints of relevant datasets.
• Ensuring compliance with security and governance best practices.

Optimization & Automation

• Implementing and maintaining continuous integrations and continuous delivery pipelines for deployments and cloud resource provisioning.
• Optimising data pipelines and data processing workflows for performance, scalability, and efficiency.
• Optimising models and algorithms for data quality, security, governance, performance and scalability needs.
• Routinely assessing processor and storage capacity across the data warehouse and extract, transform & load platforms, including capacity planning and forecasting.
• Monitoring and tuning the data system, identifying and resolving performance bottlenecks and issues, and implementing caching and indexing strategies to enhance query performance.
• Monitoring the platform for credit consumption and housekeeping.
• Supporting the deployment and maintenance of AI solutions in the data platform.

Collaboration

• Working with the data lead and business users to manage data as a business asset.
• Guiding the business users to create and maintain reports and dashboards.

Requirements:

• Bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field; Master’s degree preferred.
• At least ten years of work experience in data management disciplines, including data integration, modelling, optimisation, and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
• At least four years of work experience in designing and implementing data architectures in Azure cloud services and Databricks.
• Strong proficiency in Python (PySpark) and SQL programming; experience with Java or Scala is an advantage.
• Experience with relational and non-relational databases, including SQL and NoSQL, is a must, while familiarity with legacy databases such as Oracle is preferred.
• Experience using Azure DevOps, Databricks LakeFlow Jobs for DevOps practices, including version control, CI/CD and pipeline deployment.
• Experience with data catalogue tools, including Unity Catalogue and Microsoft Purview.
• Familiarity with BI & visualisation tools such as Power BI and Python visual packages for data analytics is preferred.
• Experience supporting AI/ML model deployment, feature engineering and production inference is preferred.
• Align with and demonstrate the company's Core Values, which are Integrity, Teamwork, Accountability, Agility, and Ambition.

COMPANY DESCRIPTION

About NTUC Health Co-operative Limited

NTUC Health Co-operative Limited (NTUC Health) is an NTUC enterprise that provides a comprehensive and integrated suite of quality and accessible health and eldercare services to meet the growing needs of families and their dependents. Building on close to three decades of experience and expertise, NTUC Health is among the largest providers of active ageing, senior day care, nursing home, and home personal care services in Singapore. We also serve vulnerable seniors in selected areas in Singapore through Community Case Management Services (CCMS), CREST mental health support, and a sheltered senior group home. In addition, we run a family medicine clinic.

Our purpose is to achieve ‘health for life'; enabling healthy and fulfilling years by being a trusted partner of seniors and their families in our community.

For more information, please visit ntuchealth.sg or follow us on Facebook, Instagram, and LinkedIn.

Services: Senior Day Care | Home Care | Nursing Home | Active Ageing and Senior Fitness | Rehabilitation and Physiotherapy | Family Medicine

Community Support: CCMS (Community Case Management Services) | CREST (Community Resource, Engagement and Support Team) | Henderson Home

RESPONSIBILITIES

Job Role Summary:

As a Talent Attraction Intern, you will play a key role in supporting the recruitment and onboarding processes at NTUC Health. This internship offers the opportunity to contribute to data-driven HR initiatives.

Key Responsibilities:

• Clean, organize, and analyse recruitment and attrition data using SQL and Google Apps Script.
• Maintain and update HR records, databases, and applicant tracking systems (ATS).
• Develop and maintain a consolidated dashboard to track key talent metrics.
• Collaborate with various HR teams on cross-functional projects.
• Perform other related tasks as assigned by the supervisor.

You are:

• Currently pursuing an undergraduate degree or diploma in Human Resources, Business Analytics, Information Systems, or a related field.
• Proficient in SQL and Google Apps Script, with the ability to clean datasets and build dashboards.
• Comfortable working with Google Suite applications (e.g., Sheets, Docs, Slides).
• A team player with strong communication and stakeholder management skills.
• Detail-oriented, analytical, proactive, and eager to learn.

Job Description

Integrated Business Planning (IBP) brings together forecasting and supply planning across marketing, sales, finance, procurement, manufacturing, and customer service into a unified process. This integration ensures alignment across the enterprise, leading to superior customer outcomes.

Agilent is building our enterprise planning capabilities to drive IBP across the business by establishing a centralized Planning Excellence Team (PET). This team will continue our Ignite IBP transformation journey which will strengthen our competitive advantage by enabling faster, more reliable planning. The

IBP Data Scientist role will bring key data scientist capabilities to the PET team. As the IBP Data Scientist, you will be responsible for supporting the fast-paced development and continued maintenance of demand, inventory, and supply planning models, refreshing targets, and monitoring key planning parameters to ensure the business is positioned to meet demand reliably and efficiently.

Principle Duties/Responsibilities:

• Provide data-driven insights, dashboards, and scenario modeling to support demand and supply planners, S&OE/S&OP processes, and enterprise decision-making
• Drive continuous improvement in analytics, data quality, and model reliability
• Drive automation and advanced analytics, leveraging Python, SQL, and BI tools to scale insights
• Partner with more senior team members to align analytics with standards, governance, and process maturity efforts
• Generate dashboards and KPIs that to support IBP governance and forum discussions
• Enable S&OE/S&OP with near-term supply-demand coverage analytics, including early warning indicators
  

Qualifications

• Bachelor's or Master's Degree or equivalent in data science, statistics, computer science, or related field.
• Post-graduate, certification, and/or license are a plus.
• Ability to work independently and as part of a team in a fast-paced environment.
  

Preferred skills include:

• Knowledge in predictive modeling, machine learning, and statistical analysis preferred.
• Programming languages such as Python, R, or SQL.
• Data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar.
• Strong analytical and problem-solving skills with the ability to interpret complex data.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of advanced machine learning techniques and frameworks.

Job Description:

Combine AI/ML and Technology knowledge to implement highly scalable solutions to solve real-world problems in areas such as Generative AI, Personalization, Image Recognition, Speech Recognition, Natural Language Processing, Best Next Action, and Time Series predictions

• Build solutions from identifying business problems, to collecting training dataset, to analyzing data, to modeling, to validating and to delivering production grade solutions at scale.
• Research latest related academic papers and test nascent ideas which can potentially solve new business problems and enhance existing solutions.
• Responsible for developing and defining deployment strategies for production quality AI solutions in Cloud infrastructure at scale
• Drive both high-level and detailed technical designs and conduct design reviews as needed
• Responsible for health and quality of the code across the portfolio, including leadership over innovation, functional testing, and CI/CD tool integration
• Provide technical mentorship to team members at junior levels
• Actively participate in business and technical discussions and forums

Data Analytics

• Spearhead the design and execution of end-to-end data analytics strategies.
• Develop and manage automated data pipelines and ETL workflows.
• Perform data cleaning, preprocessing, and validation to maintain high data accuracy and integrity.
• Utilize advanced statistical and data mining techniques to analyze extensive healthcare datasets.
• Build and maintain interactive dashboards with user-friendly visualizations tailored for non-technical stakeholders.
• Deliver in-depth analytics to support clinical research and quality improvement projects, especially in areas like chronic disease management (e.g., diabetes, kidney disease, asthma).
• Create predictive models and deploy machine learning solutions, including large language models (LLMs).
• Collaborate with clinical teams to integrate Patient-Reported Outcome Measures (PROMs) into existing care processes.
• Work closely with GTO and AIO teams to improve data visibility and accessibility.
• Design and apply LLM-based solutions to streamline and optimize patient care pathways.

Data Quality & Monitoring

• Conduct regular validation to ensure the integrity and consistency of datasets.
• Detect and interpret key trends, patterns, and insights from healthcare data.
• Establish and maintain robust data quality assurance and validation protocols.
• Generate and present clear, data-driven reports and visualizations to stakeholders.
• Ensure all data visualizations are user-centric and accessible to non-technical users.
• Liaise with cross-functional teams to gather and address their specific data requirements.

Data Governance & Protection

• Implement stringent data security policies and access controls.
• Supervise data standardization and quality management initiatives.
• Ensure adherence to data privacy laws such as PDPA and HBRA.
• Develop secure protocols for safe data exchange and collaborative access.
• Promote ethical AI usage and ensure responsible deployment of LLM technologies.

Key Requirements

• Bachelor’s degree in a quantitative field (e.g., Computer Science, Data Analytics, Statistics)
• Minimum of 2 years’ experience in healthcare analytics or a similar field.
• Strong programming skills in Python, R, and SQL.
• Hands-on experience with data visualization platforms such as Tableau, Power BI, or TIBCO Spotfire.
• Proficiency with cloud analytics environments, especially Databricks.
• Solid foundation in statistical methods, including predictive modeling, A/B testing, and time-series analysis.
• Skilled in deploying and fine-tuning AI/ML models, including LLMs, within healthcare contexts.
• Experience working with cloud providers, particularly AWS.
• Familiarity with container technologies like Docker and Kubernetes.
• Experience using modern web frameworks such as Streamlit, NextJS, and TypeScript.
• Proficient in REST API development using frameworks like FastAPI.
• Understanding of database design, with hands-on experience using tools like SQLAlchemy.
• Capable of working with large and complex datasets.
• Proficient in using Git for version control and collaborative coding.
• Strong grasp of CI/CD pipelines and DevSecOps best practices.
• Knowledge of medical terminology and healthcare IT systems.
• Demonstrated ability to manage stakeholders and drive successful project outcomes.
• Excellent analytical thinking and problem-solving capabilities.
• Effective communicator with strong presentation, writing, and interpersonal skills.
• Highly detail-oriented, with a commitment to accurate data handling and analysis.
• Able to convert business challenges into technical data solutions.
• Team-oriented, proactive, and capable of thriving under time constraints.
• Comfortable working both independently and collaboratively in dynamic environments.

To apply, please visit www.gmprecruit.com

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973