Total 999 data entry job vacancies in Information Technology category

We are seeking a dynamic and strategic Data Engineer to design, build, and scale enterprise-grade data platforms and pipelines for the product.

You will play a key role in shaping the product’s data strategy, ensuring high standards in data architecture, performance, scalability, and governance. Beyond core data engineering, you will drive innovation in AI-enabled capabilities, leveraging data as a foundation to unlock insights, improve decision-making, and enhance user outcomes across the public service.

This role requires strong technical expertise, analytical thinking, and stakeholder engagement skills to collaborate across product, engineering, policy, and business teams to deliver impactful, data-driven solutions.

Decision-making

· When making important decisions, we identify overarching goals, weigh up our options, identify impact, and clearly communicate and manage the risks and trade-offs of our decision.

Ownership

· In addition to technical responsibilities, this means having opinions on what is being done and having ideas on what should be done next. Building something that you believe in is the best way to build something good.

Continuous Learning

· Working on new ideas often means not fully understanding what you are working on. Taking time to learn new architectures, frameworks, technologies, and even languages is not just encouraged but essential.

Our Team

Our team is made up of passionate individuals committed to solving challenges and driving meaningful change. We embrace diversity of thought, encourage experimentation, and foster a culture of continuous learning. As part of this team, you will collaborate with Business Owner, Product Director, Product Managers, UX Designers, Engineers and Business Users.

Data Strategy, Engineering & Product Delivery

· Engage stakeholders to understand business challenges, refine use cases, and identify opportunities to harness data for product and policy decisions.

· Design, build, and maintain scalable data pipelines, data platforms, and reusable datasets to support analytics and product use cases.

· Develop data models and architectures to support complex business processes and reporting needs.

· Implement ETL/ELT processes to ingest, transform, and serve structured and unstructured data.

· Design and deliver analytics workflows, dashboards, and data products to enable insights and decision-making.

· Work iteratively with product teams to validate insights, refine analyses, and deliver measurable outcomes.

AI, Machine Learning & Advanced Analytics

· Develop and apply machine learning and Large Language Model (LLM)-based solutions, including prompt engineering and AI-enabled applications where relevant.

· Operationalise models through MLOps practices, including deployment, monitoring, and lifecycle management.

· Stay abreast of emerging trends in AI, data architectures, and optimisation techniques, and apply them to enhance product capabilities.

· Ensure responsible AI practices, including considerations for safety, fairness, and robustness.

Data Platforms, Integration & DataOps

· Design and implement moderately complex data systems and platforms, including supporting infrastructure and integrations.

· Apply advanced data integration techniques (e.g. streaming, Change Data Capture, message queues) to enable real-time and batch processing.

· Champion DataOps practices such as automated pipeline deployments, monitoring, and data observability.

· Ensure data quality, reliability, and integrity across systems and pipelines.

· Proactively manage and reduce technical debt to ensure long-term system stability.

Governance, Risk & Compliance

· Navigate data privacy, governance, and regulatory requirements, ensuring compliance with policies and standards.

· Identify risks in data systems and proactively address potential failure points.

· Align system design with security, performance, and compliance best practices across GovTech platforms.

Leadership, Collaboration & Delivery

· Own and deliver complex data engineering assignments across the full data lifecycle with minimal supervision.

· Break down complex problems into actionable tasks and coordinate delivery across teams.

· Drive high-quality, scalable delivery through engineering excellence and best practices.

· Mentor junior engineers and guide peers through code reviews, architecture discussions, and technical problem-solving.

· Collaborate effectively with Product Managers, Engineers, Designers, and Business stakeholders to deliver integrated solutions.

Strategic Alignment & Organisational Impact

· Contribute to team strategy, balancing short-term delivery with long-term platform sustainability.

· Evaluate new technologies and communicate trade-offs to technical and non-technical stakeholders.

· Participate in cross-team initiatives and align solutions with broader organisational goals.

Experience & Education

· Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline.

· At least 5 years of experience in data engineering.

· Proven experience delivering data platforms or products in large-scale, enterprise environments.

Technical Skills

· Strong expertise in data modelling (OLTP, OLAP, dimensional modelling).

· Experience with cloud data platforms and tools (e.g. AWS, Azure Synapse/Microsoft Fabric, Snowflake, Databricks, Redshift, Data Lakes).

· Proficiency in big data technologies (e.g. Hadoop, Spark, Kafka, Flink).

· Strong programming skills in Python, Scala, or Java.

· Experience with CI/CD and DataOps practices (e.g. SHIP-HATS or equivalent).

· Expertise in data integration techniques (e.g. ETL/ELT, streaming, APIs).

AI & Machine Learning (Advantageous)

· Understanding of machine learning and LLM concepts, including prompt engineering and AI application development.

· Familiarity with MLOps practices and cloud-based ML deployment.

· Awareness of responsible AI principles (fairness, robustness, safety).

Core Competencies

· Strong analytical and problem-solving skills, with the ability to translate business problems into data solutions.

· Ability to design scalable, reliable, and maintainable data systems.

· Effective communication and stakeholder management skills.

· Self-driven, adaptable, and able to operate in ambiguity.

· Strong sense of ownership and commitment to delivery excellence.

· Passion for leveraging data and technology to deliver public good.

· Minimum of a Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI, or related disciplines;

·        Must have a minimum of 1-2 years of IT experience or Fresh graduates are welcomed

·        Able to understand and apply a range of AI/ML techniques for regression and classification

· Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost,NLTK, spaCy )

· Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g., RAG)

· Experience with context engineering techniques and prompt optimization strategies

· Proficient in git, SQL

· Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

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 are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is hiring for Data Scientist

You will work in Singapore Government Agencies.

This is a fixed term contract. The engagement is 1 year, renewable.

Internal Code: A26126

This is a fixed term contract role. The engagement is 1 year, with option to extend to another 1 year

What will you do?

As a Data Scientist, you will use data science and Generative AI techniques to develop models and products that support a range of divisions across investment promotion, industry development and corporate functions.

You will have the opportunity to partner closely with key stakeholders to identify business challenges, translate requirements into technical solutions, and deliver AI and Machine Learning products that drive measurable outcomes.

• Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value
• Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
• Data wrangling & analysis - preprocessing, cleaning and feature engineering
• Supporting the daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots
• Developing backend APIs and services to support AI model deployment and integration
• Building frontend interfaces and user experiences for AI-powered applications
• Documenting changes to existing products
• Reviewing and implementing fixes for reported security vulnerabilities

What are we looking for?

• Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines;
• Able to understand and apply a range of AI/ML techniques for regression and classification
• Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy )
• Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)
• Experience with context engineering techniques and prompt optimization strategies
• Proficient in git, SQL
• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)
• Proficient in modern programming languages (e.g. typescript, C#)
• Experience in cloud platform and services preferably in AWS
• Experience in Docker/Kubernetes
• Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
• Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers)
• Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS)
• Understanding of AI agent frameworks and multi-agent system

What do we offer in return?

• Fun working environment
• Employee Wellness Program
• To work in Singapore Government Agencies projects
• We provide structured development framework and growth opportunities. (We are a “SHRI 2025 Gold winner” in “Learning & Development; Coaching & Mentoring”)

Why you'll love working with us?

If you are looking for opportunities to collaborate with leading industry experts and be surrounded by highly motivated and talented peers, we welcome you to join us. We provide all employees with equal opportunities to grow and develop with us. We believe your success is our success.

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice () to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Data Management and Analytics:
• Collect, clean and transform data from multiple internal and external sources, including APIs, space and booking management systems and smart meters.
• Build interactive and user-friendly dashboards, reports and data models to support business decision-making.
• Gather business requirements from different functional teams and translate them into suitable data requirements.
• Ensure data quality, consistency and governance across the organization.
• Conduct thorough data analysis to identify trends, patterns, and performance metrics that influence business decisions.
• Generate actionable insights through advanced analytics performed on diverse data gathered from large longitudinal cohorts, continuous sensors, and combined datasets.
• Develop compelling data-driven narratives for impactful storytelling to both internal and external stakeholders.
• Maintain library of OCIS data, reviewing sources of data, and recommend improvements to data sources and collection.
• Ensure data integrity and establish standardized reporting processes.
• Integrate OCIS data with broader university analytics to inform decision-making.
• Dashboard Optimisation:
• Conduct usability audit on existing dashboards.
• Develop and optimize data models within the dashboarding tool for reporting and analytics.
• Optimize layout for clarity and user experience.
• Develop predictive models to forecast resource needs eg based on faculty expansion, student enrolment, and operational changes.
• Champion Experimentation:
• Design, implement, and analyse A/B tests and multivariate experiments to drive continuous improvement.
• Stay updated with the latest management technologies and automation tools.
• Propose, implement, and optimize technological solutions to enhance data analysis, reporting capabilities, and overall transportation efficiency.
• Stakeholder Engagement & Collaboration:
• Develop clear documentation of metric definitions and logic to ensure alignment across teams. Eg user Manuals and guidelines for stakeholders.
• Engage regularly with cross-functional stakeholders to understand their workflows, pain points, and evolving data needs.
• Translate business questions into actionable metrics and analytical solutions to support procurement and FMS operations.
• Collaborate with cross-functional teams to gather requirements, define data-related technical issues, and provide solutions.
• Provide user training and develop user guide and documentation.
• Automate manual processes and create efficient digital workflows.
• Support Environmental Sustainability in the Workplace:
• Collaborate with other teams on Sustainability related data and functions.
• Ensure alignment and accuracy of OCIS-provided data for organization-wide Sustainability reports.
• Participate in relevant meetings to understand stakeholder needs.
• Develop visuals that support communication and decision-making during Sustainability related meetings and reviews.
• Other duties as assigned.

• Bachelor's degree or higher in Computer Science, Information Systems, Engineering, Business Analytics, Statistics or any related quantitative discipline/field.
• Other disciplines can be supplemented with additional qualifications and prior experience in Data Science / Data Analytics.
• 3 to 5 years of experience in Data Analytics, Business Intelligence, Data Engineering or relevant quantitative experience in the Real Estate / Facilities industry.
• Proficiency in data cleaning, analytics & visualisation tools (Power BI, Tableau, SQL).
• Good understanding of AI-driven scheduling and IoT-based tracking for real-time space monitoring.
• Strong proficiency in Excel and hands-on experience with querying and manipulating large, complex datasets with tools e.g. SQL, Python.
• Strong proficiency in statistical analysis and data mining techniques.
• Strong proficiency in Python (or R) for advanced statistical analysis, data modelling, and automation (e.g., pandas, numpy, scikit-learn).
• Proficiency with data visualization tools (e.g., Tableau, Looker, Power BI) to build effective and clear dashboards.
• Experience using dataflowgen 2/ Microsoft fabric.
• Experience writing PowerBI DAX function.
• Experience designing interactive and user-friendly dashboards with UI principles.
• Familiar with machine learning techniques and predictive modelling.
• Strong analytical mindset and problem-solving abilities.
• Strong stakeholder management (technical and non-technical) and communication skills.
• Willingness to challenge the status-quo and motivate the team to foster the data-driven culture.
• Proven experience in data analysis, reporting, and solution development within the real estate / infrastructure / Utilities industry.
• Familiar with resource and booking management systems.
• Familiar with Al tools, chatbot development, or workflow automation is a plus.
• Good understanding of space planning and facilities management principles and techniques to optimize the use of resources while adhering to regulatory compliance.
• Strong writing and presentation capabilities.
• Experience in space management software (Planon, AutoCAD).
• Knowledge and experience in data governance, data security, and privacy practices.

#LI-JN2

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.

• Contract role with leading bank in Singapore with 2 headcounts ending 31st Dec 2026
• This role will sit in Account Control Monitoring team.

Responsibilities:

• Execute remediation plans to cleanse and standardize client data in accordance with the bank’s requirements
• Ensure prioritized data quality issues raised are promptly identified and remediated
• Work with cross-functional teams to identify and implement more efficient solutions for data quality issues, including automation of manual tasks
• Investigate appropriate corrective actions by reviewing source documentation where required
• Perform the corrective actions and where deemed required, recommend process or systems change or preventive controls to avoid recurrence
• Provide weekly reports on the data remediation progress for efficient tracking
• Ensure appropriate and confidential handling/sharing of sensitive client data in compliance with the bank’s policies and procedures
• Identify red flags related to data quality or compliance and escalate in accordance with policy and procedures
• Ensure timely follow-up and/or escalation to relevant stakeholders as required
• Complete delegated and ad-hoc tasks within the established timeframes to support the overall data remediation objectives

Qualifications:

• Bachelor's degree or at minimum diploma holder
• Meticulous and detail oriented
• At least 2 years of experience relating to banking operations, preferably in Client Onboarding & Maintenance functions, client documentation and static data maintenance
• Able to conduct and apply quality testing approaches in day-to-day activities
• Good written and verbal communication skills
• Able to thrive in a team, is highly approachable and open minded
• Able to be proactive in establishing processes and adopting best practices
• Is methodological with an eye for details and possess the ability to work independently
• Proficient in MS Office, particularly Excel, PowerPoint

Next Steps

• Drop your resume and contact us to follow-up, or send your resume to amos.tan@adecco.com
• Only shortlisted candidates will be contacted

Amos Tan Jun Han

EA Licence Number: 91C2918

Personnel Registration Number: R23113385

Our client is a prominent data center and ICT services provider based in Singapore. It specializes in offering secure, scalable, and high-performance infrastructure solutions to enterprises, financial institutions, and government agencies.

Job Scope:

• Perform daily maintenance and operational tasks to ensure all primary and backup equipment in the data center remains fully functional.
• Conducting routine facility inspections, critical system checks, and functional tests.
• Address mechanical and electrical alarms or faults by identifying patterns and implementing appropriate corrective measures.
• Monitor and respond to alerts from the Building Management System (BMS) and Environmental Monitoring System (EMS), investigate issues, and provide timely updates on unresolved events.
• Participate in emergency response efforts and be available for standby duty as needed.
• Handle customer requests and deliveries, including installation support, coordination with design and construction teams.

Requirements:

• Degree or Diploma in Electrical/Mechanical Engineering or equivalent
• Min 1-2 years of relevant experience in Date Centre or M&E experience in building/construction industry
• Strong technical and functional skills and knowledge of facilities management and operations.
• Able to commit to 12 hours rotating shift duty

Working Location: Bedok/Woodlands

Salary: Up to $4,800 + AWS + Variable bonus

To apply, kindly click APPLY NOW to submit your latest CV in Microsoft Words.

We regret that only shortlisted candidates will be notified.

SATT

EA Registration No.: R1219605

EA License No.: 25C2695

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

As the Dev-ops engineer, you will do the following:

• Work in an AGILE team with other engineers and team leads on the feature deployment activities to achieve the sprint goals.
• Create CI/CD script for auto-deployment of new features.
• Help scale up or scale down the resources based on data load.
• Work in a team to turn innovative ideas into robust software and solve complex design and implementation problems.
• Maintain our production servers to achieve maximum uptime.

Basic Qualifications:  

• Bachelor’s degree in Computer Science, Computer Engineering, or a software-related discipline, from an accredited college or university
• Must have hands-on experience in maintaining Big Data tools and services.
• Experience in CI/CD tools such as Selenium, Jenkins and JIRA.
• Experience with container platforms like OpenShift, Kubernetes or docker
• Experience with configuration management tools like Ansible (preferred), Chef or Puppet.
• Experience with version control tools like Gitlab or bit-bucket.
• Experience in Linux environment, Linux networking and shell scripting.
• Proven success working in a team-oriented environment and demonstrated problem-solving skills.
• Must have an ability to identify, formulate, and solve engineering problems.

Desired Qualifications: 

• Experience in bringing up Hadoop clusters and installing various packages.
• Experience in implementation, and deployment of high volume, highly available, cloud-based systems would be a plus.
• A proactive and eager nature for tackling new challenges

about company

I am currently working with a software consultancy firm that provides premium software development and strategy expertise to a wide spectrum of clients. Projects are about Gaming/Gambling/Blockchain/Government Project.

Salary structure: Base + AWS + variable bonus. 2 rounds of interview process. Hybrid working arrangement. Office at CBD.

about job

• Develop, construct, test and maintain data architectures such as databases, data warehouses and large-scale data processing systems

• Design and develop data pipelines/systems for data modelling, mining and production

• Make raw data clean and highly available for use in descriptive and predictive modelling

• Recommend and implement ways to improve data quality, reliability, flexibility and efficiency

• Ensure data assets and data catalogs are organized and stored in an efficient way

• PL/SQL and SQL Tuning and optimization

skills and requirements

• Min 3 years in data architecture, data warehousing, data processing, data modelling and ETL/ELT, familiarity with real-time streaming solutions

• Experience in Kubernetes-based DevOps practices, with experience in container orchestration, CI/CD pipelines, and microservices deployment.

• Experience in database development (Oracle SQL/PLSQL)

• Working experience in AWS cloud environment, familiar with solutions such as EC2, S3, EMR, Redshift, Athena, Kinesis • Programming knowledge in Python, R, SQL for data cleaning, processing and aggregation

• Mandarin speaking required as you need to liaise with Chinese counterparts who can only speak and write in Mandarin

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

JOB DESCRIPTION

As a Data Scientist (Associate Consultant), you will use data science and Generative AI techniques to develop models and products that support a range of EDB divisions across investment promotion, industry development and corporate functions. You will have the opportunity to partner closely with key stakeholders to identify business challenges, translate requirements into technical solutions, and deliver AI and Machine Learning products that drive measurable outcomes.

Your roles and responsibilities include:

• Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value
• Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
• Data wrangling & analysis - preprocessing, cleaning and feature engineering
• Supporting the daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots
• Developing backend APIs and services to support AI model deployment and integration
• Building frontend interfaces and user experiences for AI-powered applications
• Documenting changes to existing products
• Reviewing and implementing fixes for reported security vulnerabilities;

JOB REQUIREMENTS

To perform this role, you must have/ be:

• Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines;
• Able to understand and apply a range of AI/ML  techniques for regression and classification
• Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy )
• Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)
• Experience with context engineering techniques and prompt optimization strategies
• Proficient in git, SQL
• Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)

Bonus skillsets which will allow you to excel in this role include:

• Proficient in modern programming languages (e.g. typescript, C#)
• Experience in cloud platform and services preferably in AWS
• Experience in Docker/Kubernetes
• Experience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)
• Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers)
• Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS)
• Understanding of AI agent frameworks and multi-agent systems
• Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience
• Proficient in statistical software tools (e.g. R, SAS)

Job Responsibilities;

• Work closely with business users of the group to build a strong pipeline of impactful projects. This will involve understanding business challenges, evaluating the use cases, scoping the problems, and developing business cases on how to turn data into critical information and knowledge which can then translate into business decisions and actions
• Scope, design, develop, deploy, and maintain data science enabled applications and data analytics applications across the organization
• Support the professional growth and development of data scientists and data analysts in your team
• Educate and share data analytics and data science knowledge with various departments
• Organise and guide your team to execute the pipeline of data science and data analytics projects. This involves,

- Perform data cleaning, pre-processing, and feature engineering to build machine learning models

- Iterate with key users to perform subsequent deep dives based on initial results and fine-tuning the models

- Build automation applications or APIs to call the models

Requirements;

• A Bachelor’s Degree or higher in Computer Science/Engineering, Data Science, Statistics, or Applied Mathematics
• At least 5 years of relevant experience, in data science, machine learning, and statistical modeling, preferably with experience managing a data science team
• Proven track record of successfully leading data science projects and guiding a team of data scientists
• Have strong analytical, conceptualization, and problem-solving skills. Able to take broad, strategic perspectives
• Excellent problem-solving abilities with a demonstrated aptitude for translating business requirements into analytical solutions
• Understand key concepts, techniques, and considerations in statistics, machine learning, and data analytics
• Proficiency in machine learning techniques, including regression, classification, clustering, ensemble, and deep learning
• Proficiency in programming languages such as Python, and SQL, along with experience working with large-scale big-data processing frameworks
• Excellent communication and presentation skills, with the ability to convey technical concepts clearly and effectively
• Strong team management skills who can motivate and grow the team and has strong organization skills. Effective in setting and managing individual and team KPIs and goals

Role Summary:

We are seeking for a strategic Data Engineer focused on building and scaling enterprise data platforms and pipelines for an upcoming project. The position combines strong data engineering fundamentals with data strategy, architecture, and governance, while also driving AI-enabled innovation to improve decision-making and user outcomes.

It requires technical expertise, analytical thinking, and stakeholder collaboration across product, engineering, and business teams. The role also emphasizes a mindset of ownership, informed decision-making, and continuous learning to support evolving technologies and product growth.

Key Responsibilities:

This role spans end-to-end data engineering, AI, and platform delivery, focused on building scalable data systems that support product, analytics, and policy decisions.

You will design and maintain data pipelines, platforms, and models, deliver analytics and data products, and work closely with stakeholders to turn business needs into actionable insights. The role also includes developing and operationalising AI/ML and LLM-based solutions, supported by strong MLOps practices.

On the platform side, you’ll implement modern data architectures and DataOps practices (e.g., automation, streaming, data observability) to ensure high data quality, reliability, and performance, while managing technical debt.

You’ll also ensure governance, security, and compliance, proactively managing risks in data systems.

Beyond technical execution, the role requires ownership and leadership—driving projects independently, mentoring others, collaborating cross-functionally, and contributing to broader strategy, technology decisions, and organisational impact.

Requirements:

Experience & Education

• Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline.
• At least 5 years of experience in data engineering.
• Proven experience delivering data platforms or products in large-scale, enterprise environments.

Technical Skills

• Strong expertise in data modelling (OLTP, OLAP, dimensional modelling).
• Experience with cloud data platforms and tools (e.g. AWS, Databricks, Redshift, Data Lakes).
• Proficiency in big data technologies (e.g. Hadoop, Spark, Kafka, Flink).
• Strong programming skills in Python, Scala, or Java.
• Experience with CI/CD and DataOps practices (e.g. SHIP-HATS or equivalent).
• Expertise in data integration techniques (e.g. ETL/ELT, streaming, APIs).

AI & Machine Learning (Advantageous)

• Understanding of machine learning and LLM concepts, including prompt engineering and AI application development.
• Familiarity with MLOps practices and cloud-based ML deployment.
• Awareness of responsible AI principles (fairness, robustness, safety).

Responsibilities:

• End-to-End Project Delivery: Lead data-driven initiatives from initiation to closure, including the implementation of Data Warehouses, Data Lakes, and visualization platforms.
• Stakeholder Management: Bridge the gap between technical teams (data scientists, AI engineers) and business units (actuaries, underwriters, and claims specialists).
• Data Governance & Compliance: Ensure all data projects adhere to strict industry regulations (e.g., GDPR, financial service standards) and maintain high data quality and security.
• Strategic Insights: Coordinate with data teams to leverage big data for actionable insights that drive underwriting efficiency and process optimization.
• Technical Planning: Define project scope, manage RAID logs (Risks, Assumptions, Issues, Dependencies), and oversee technical specifications and system workflows. 

Requirement:

• Bachelor’s or Master’s degree in Computer Science, Data Science, or Business Management.
• Certifications: PMP (Project Management Professional) or Agile/Scrum certifications are highly preferred.
• Technical Stack: Proficiency in languages like SQL, Python, or R and familiarity with tools such as Informatica, AWS, Azure, Tableau, or Power BI.
• Industry Knowledge: Understanding of insurance processes like Life or General Insurance underwriting, claims management, and policy.

Interested candidates, who wish to apply for the above position, please send in your resume to mail to mohamed.basith@persolapac.com

We regret that only shortlisted candidates will be contacted.

EA License No. 01C4394
EA Personnel Reg.No. R1104824 (Samsudeen Mohamed Basith)

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore 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.persolapac.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

About STT GDC

Be part of a global leader in data centre solutions

ST Telemedia Global Data Centres (STT GDC) is a data centre provider headquartered in Singapore, with a global footprint in major business markets across Singapore, the United Kingdom, Germany, Italy, India, Thailand, South Korea, Indonesia, Japan, the Philippines, Malaysia and Vietnam. We harness cutting-edge technology to deliver a comprehensive suite of world-class, scalable and flexible data centre solutions, including connectivity and support services, designed to meet the evolving colocation needs of today and tomorrow. By joining our team, you’ll be part of a dynamic, fast-growing industry that forms the cornerstone of today’s digital world.

Why STT GDC

STT GDC’s internal culture is built on creating a forward-thinking, socially responsible environment that ignites positive change. We empower our employees to thrive in a workplace defined by excellence, innovation and growth, where collaboration and creativity can flourish.

✨ Empathy-driven culture: We lead with compassion and understanding, fostering a supportive and inclusive environment that values your well-being and voice.

Job Summary

We would like to invite an independent and self-motivated individual who has keen interest in contributing to the growth of a trusted and innovative environment for Singapore’s data economy and society, and the enhancement of Singapore’s international standing as a trusted data hub to join the Data Innovation & Protection Group (DIPG).

Mandatory Skill-set

• 5+ years in a senior technical role (e.g., Solution Architect, Security Researcher, Privacy Engineer, or Digital Forensic Lead);
• Background in Computer Science, Computer Engineering, or a related field;
• A builder’s mentality - you are driven by technical curiosity and the desire to build a compliant-by-design future for Singapore;
• Keen interest to self-learn and keep up to date with development of data-driven technologies and impact of these technologies on industry and consumers;
• Ability to translate complex engineering, technical concepts and frameworks to a non-technical audience;
• Excellent problem-solving, analytical, and decision-making abilities;
• Certifications: Advanced technical certifications (e.g., CSPO, CHFI, SANS Cybersecurity, CIPT, CDPSE) are highly regarded.

Desired Skill-set

• Strong expertise in data protection, privacy engineering, and cybersecurity frameworks (PDPA, GDPR, ISO 27001);
• Hands-on experience in digital forensics, data breach investigations, and root cause analysis;
• Proficiency in security tools and technologies (SIEM, EDR, vulnerability assessment tools like Qualys, CrowdStrike);
• Knowledge of emerging technologies such as AI, Machine Learning, and Quantum computing with risk assessment perspective;
• Experience in technical research, threat intelligence, and vulnerability analysis;
• Ability to design and develop prototypes / proof of concepts (POCs) for technology evaluation;
• Strong understanding of system architecture, cloud security, and enterprise IT environments;
• Excellent data analysis and problem-solving skills with attention to detail;
• Ability to translate complex technical findings into business and policy recommendations;
• Experience in stakeholder management, technical reporting, and presentations;
• Strong communication skills for advocacy, documentation, and global engagement;
• Familiarity with compliance, regulatory standards, and risk management practices.

Responsibilities

• Manage data breach investigations to identify system failures, technical negligence behind complex data failures;
• Distill and present findings and recommendations from complex digital forensic methods and systems to internal stakeholdersTech Intelligence and Innovation;
• Conduct research on vulnerabilities of existing systems and solutions;
• Assess and evaluate emerging technologies and frameworks (such as quantum and AI) to ensure high standards of safety and utility;
• Design and build functional prototypes for new utilities or technology assessmentsAdvocacy and Engagement:;
• Develop technical materials and guides to help organisations ensure new products and services remain compliant and up-to-date;
• Represent the organization in international and domestic technical forums;
• Translate deep engineering findings into strategic recommendations for senior leadership and global standards bodies.
  
  Should you be interested in this career opportunity, please send in your updated resume to sandhya.p@sciente.com at the earliest.
  
  When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website(https://www.sciente.com/privacy-policy).Confidentiality is assured, and only shortlisted candidates will be notified for interviews.EA Licence No. 07C5639

Responsibilities:

• Collaborate with cross-functional teams to gather business requirements
• Perform feature engineering using customer, product, digital, and behavioural data
• Design and build scalable AI models
• Evaluate AI model performance using technical and business metrics
• Design end-to-end model pipeline and conduct various tests to ensure robustness of solution
• Prepare model documentations and testing reports

Requirements:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related fields.
• 3–5 years of experience in a data science or analytics role.
• Strong command of Python (especially for text analytics and data manipulation).
• Solid experience with SQL for querying large datasets.
• Familiar with machine learning libraries and GenAI.
• Ability to work with various types of data and derive meaningful insights.
• Strong communication skills and stakeholder management experience.