Total 1,005 data entry job vacancies in Information Technology category

Role Overview

We are seeking a Data Scientist to design, build, and deliver production ready data science and machine learning solutions for enterprise and regulated clients. This is a hands on role covering the full lifecycle - from data exploration and feature engineering through to model deployment, evaluation, and iteration.

The role suits someone focused on real world delivery and measurable outcomes, rather than research in isolation.

Key Responsibilities

• · Develop and deploy ML and data science solutions from proof of concept to production
• · Perform data exploration, feature engineering, and model development on large datasets
• · Apply techniques across prediction, classification, clustering, NLP, and multimodal AI
• · Use both traditional ML and GenAI / LLM approaches where appropriate
• · Track experiments, metrics, and model versions (e.g. MLflow)
• · Collaborate with data engineers and AI engineers to integrate models into platforms
• · Continuously improve models based on performance, feedback, and data drift

• Plan and execute marketing initiatives for AI data center and immersion cooling solutions.
• Create professional content: presentations, solution briefs, case studies, and digital/LinkedIn materials.
• Drive local campaigns, webinars, and events to generate leads and strengthen client engagement.
• Collaborate closely with sales and technical teams to develop customer-facing materials and proposals.
• Represent the company professionally at client meetings and industry events.

Requirements:

• Degree in Engineering, IT, Marketing, Business, or equivalent
• At least 5 years of B2B marketing experience in data centers, IT infrastructure, AI/GPU platforms, or cooling solutions.
• Solid understanding of data center operations, rack layouts, cooling technologies, and GPU-based AI systems.
• Ability to translate technical concepts into clear value propositions for non-technical stakeholders.

If you are keen to apply for the position, kindly email your detailed resume in MS Word to hr@recruit-expert.com

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together. 

We’re all in, are you? Join EY and shape your future with confidence.

The opportunity

EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for passionate AI Engineers to join our growing team. This role combines expertise in artificial intelligence, natural language modelling, machine learning and software engineering to develop and deploy multi-agentic workflows & applications.  

Your key responsibilities

• Design, build and deploy intelligent single / multi-agentic application that leverage GenAI models (e.g. LLMs) and perform task decomposition, planning and execution.
• Develop and maintain end-to-end AI-powered workflows integrated with backend systems, APIs and data pipelines on cloud-based platforms (example Microsoft Azure, AWS).
• Develop, refine, and implement advanced NLP (natural language processing) & predictive models to generate insights from complex structured and unstructured data sets.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable GenAI solutions.
• Conduct rapid prototyping, PoCs and experiments in AI agent frameworks (e.g. Lang Framework including Langchain, LangFlow, LangGraph & LangSmith or LlamaIndex)
• Ensure good code quality, packaging meeting production deployment requirements and maintainability through best practices in software engineering.
• Utilize full-stack development knowledge using DevOps with hands-on practice in language like Python, Java, React (Node.js) language to develop end-to-end application.
• Collaborate with stakeholders, presenting findings to a business / management audience and providing strategic recommendations.
• Support the production of scalable and optimised AI or machine learning (ML) models.
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI or ML solutions from theoretical data science models.
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with the relevant software platforms in which the models are deployed.
• Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.
• Define success metrics and deliverable timelines, ensuring projects are delivered on time and meet strategic objectives.

Skills and attributes for success

• Experience / beginner knowledge in Natural Language Processing (NLP), Machine Learning, , Generative AI, Data Transformation, Scripting.
• Knowledge and experience in project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on exploratory analysis, data science, Big Data analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experience
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• Min bachelor’s degree in computer science, Mathematics, Engineering, Statistics, or a related field.
• At least 2 year of experience with any of the domain - Natural Language Processing (NLP), Machine Learning, Generative AI specifically with Large Language Models (LLM).
• Proficiency in Python and other applicable full-stack software programming languages.
• Strong knowledge of machine learning, language modelling, data mining, and predictive modeling.
• Excellent understanding of data science algorithms, processes, tools, and platforms.
• Possess a strong problem-solving mindset, with the ability to work in ambiguous and fast-paced environments
• Knowledge of API integration, containerization (E.g., Docker), cloud platforms (E.g. Azure, AWS, GCP), automated testing frameworks, and CI/CD practices
• Experience in IT Consulting/Big 4 environment

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply today!

About the client: Our client is a Bank

Responsibilities:

• Manage the Project scope, timeline, and commissioning/cutover outcomes.
• Manage cabling, LAN, Wi Fi AV/VC rooms, endpoints, identity/security readiness process.
• Handle contractor management, FM/building management, RACI, SLAs, and escalation.
• Responsible for Budgeting, Procurement, value engineering, change control, variance tracking.
• Handle the governance process such security approvals, change tickets, document packs etc.

Requirement:

• Bachelor Degree in IT / Compute Science or relevant educational qualification.
• 2–3 completed office fit outs (≥10,000 sq ft preferred): scope, budget, timeline, and commissioning/cutover outcomes.
• Hands on coordination of cabling, LAN, Wi Fi (incl. heat maps), AV/VC rooms, endpoints, identity/security readiness.
• Vendor/contractor management (cabling/AV/network integrators, corporate real estate, FM/building management, landlord) with RACI, SLAs, and escalation examples.
• Budget & procurement: Quotations comparisons, value engineering, change control, variance tracking.
• Governance: EA/security approvals, change tickets, document packs (designs, T&C scripts, as builts, handover/SOPs).
• User change enablement: comms/training plans, hypercare metrics.
• Attitude/service orientation: executive and end user references, examples of de escalation and sponsor management.

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.

Dear Applicant,

If you or someone you know isinterested, please send the CV directly to VeronicaE@evolutionjobs.sg (mostpreferred, as I may overlook some CVs due to the high volume).

Please note that visasponsorship is not available at this time.

JD

1. Accountable for overall project business requirements elicitation
2. Driving business discussions and managing the project scope
3. Senior stakeholder management and leadership updates
4. Support the project delivery phases especially during Analysis and design and test phases.
5. Ability to support the PM when required

Key requirements:

1. 10+ years of experience in Banking industry.
2. 10+ years of experience as an FBA working in technical delivery.
3. Experience as a business analyst in leading banks and delivered projects, programs of large scale.
4. Should have good communication skills and capability to drive senior stakeholders with minimal supervision.
5. Should have domain experience in AML/KYC/Compliance and Data/Analytics.
6. Previous technical experience is beneficial.

At EY, we develop you with future-focused skills and equip you with world-class experiences. We empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. We work together across our full spectrum of services and skills powered by technology and AI, so that business, people and the planet can thrive together. 

We’re all in, are you? Join EY and shape your future with confidence.

The opportunity

EY AI & Data is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for passionate AI Engineers to join our growing team. This role combines expertise in artificial intelligence, natural language modelling, machine learning and software engineering to develop and deploy multi-agentic workflows & applications.  

Your key responsibilities

• Design, build and deploy intelligent single / multi-agentic application that leverage GenAI models (e.g. LLMs) and perform task decomposition, planning and execution.
• Develop and maintain end-to-end AI-powered workflows integrated with backend systems, APIs and data pipelines on cloud-based platforms (example Microsoft Azure, AWS).
• Develop, refine, and implement advanced NLP (natural language processing) & predictive models to generate insights from complex structured and unstructured data sets.
• Collaborate with cross-functional teams to understand business requirements and translate them into scalable GenAI solutions.
• Conduct rapid prototyping, PoCs and experiments in AI agent frameworks (e.g. Lang Framework including Langchain, LangFlow, LangGraph & LangSmith or LlamaIndex)
• Ensure good code quality, packaging meeting production deployment requirements and maintainability through best practices in software engineering.
• Utilize full-stack development knowledge using DevOps with hands-on practice in language like Python, Java, React (Node.js) language to develop end-to-end application.
• Collaborate with stakeholders, presenting findings to a business / management audience and providing strategic recommendations.
• Support the production of scalable and optimised AI or machine learning (ML) models.
• Focus on building algorithms for the extraction, transformation and loading of large volumes of real-time, unstructured data to deploy AI or ML solutions from theoretical data science models.
• Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process.
• Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm.
• Work with the relevant software platforms in which the models are deployed.
• Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.
• Define success metrics and deliverable timelines, ensuring projects are delivered on time and meet strategic objectives.

Skills and attributes for success

• Experience / beginner knowledge in Natural Language Processing (NLP), Machine Learning, , Generative AI, Data Transformation, Scripting.
• Knowledge and experience in project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on exploratory analysis, data science, Big Data analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experience
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• Min bachelor’s degree in computer science, Mathematics, Engineering, Statistics, or a related field.
• At least 1 year of experience with any of the domain - Natural Language Processing (NLP), Machine Learning, Generative AI specifically with Large Language Models (LLM).
• Proficiency in Python and other applicable full-stack software programming languages.
• Strong knowledge of machine learning, language modelling, data mining, and predictive modeling.
• Excellent understanding of data science algorithms, processes, tools, and platforms.
• Possess a strong problem-solving mindset, with the ability to work in ambiguous and fast-paced environments
• Knowledge of API integration, containerization (E.g., Docker), cloud platforms (E.g. Azure, AWS, GCP), automated testing frameworks, and CI/CD practices

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply today!

The Role

We are looking for a Senior Data Engineer to join Version 1’s Data & AI Practice, working on modern data platforms for enterprise and regulated clients. You will be a hands‑on engineer with strong production experience, contributing to the design, build, and operation of scalable, cloud‑native data solutions that enable analytics and AI at scale.

This is a delivery‑focused role for an experienced engineer who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in real‑world environments.

What You’ll Be Doing

• · Designing, building, and operating reliable data pipelines using modern ETL/ELT approaches
• · Engineering cloud‑native data platforms, primarily on AWS (with Azure exposure where required)
• · Working with technologies such as Databricks, PostgreSQL, Aurora, and distributed processing frameworks
• · Ensuring solutions are production‑ready: secure, tested, observable, and cost‑efficient
• · Optimising data performance, reliability, and data quality in live environments
• · Collaborating with analysts, data scientists, AI engineers, and platform teams
• · Mentoring junior engineers and contributing to shared standards and accelerators

The Integration Manager is responsible for coordinating the technical infrastructure and system‑integration activities required to transition a constructed facility into a fully operational data centre. The role ensures that ICT infrastructure, critical systems, and cross‑discipline interfaces are delivered in a coordinated, compliant, and timely manner.

• Oversee delivery and integration of ICT and technical fit‑out works in line with approved designs and project plans.
• Coordinate interfaces across engineering, security, and supporting disciplines to enable seamless system integration.
• Validate technical installations against design requirements and readiness criteria.
• Support build‑readiness, commissioning preparation, and handover activities.
• Manage integration risks, issues, and dependencies, driving resolution across stakeholders.
• Coordinate contractors, vendors, and suppliers, ensuring clear accountability and alignment.
• Support logistics planning, equipment delivery, staging, and sequencing activities.
• Provide regular status updates covering progress, risks, and key milestones.
• Support change control, programme coordination, and critical‑path management.
• Facilitate cross‑team collaboration and communication throughout delivery and commissioning phases.

We are seeking a highly skilled Data Engineer with 5+ yrs experience who brings strong technical expertise in data processing, analytics, cloud platforms, and dashboarding, along with the ability to collaborate effectively with cross functional teams and deliver end to end analytical solutions.Skills & ResponsibilitiesAnalyze and process large structured datasets using SQL and Python (Pandas, PySpark) to uncover insights, identify trends, and support strategic decision making.Build and optimize data transformations and analytical datasets using Pandas DataFrames and PySpark to ensure high quality, analysis ready data.Perform data cleansing and validation using regular expressions and other techniques to improve data accuracy and reliability.Develop and execute queries in BigQuery for analytical exploration and production reporting.Integrate external data sources through APIs and web scraping to expand analytical capabilities and automate data ingestion.Support scheduled data pipelines using Apache Airflow to ensure timely and reliable data delivery.Design and maintain dashboards in Tableau or Power BI to visualize insights and monitor key performance metrics.Manage end to end analytical deliverables including requirement clarification, data validation, iterative development, and final reporting.Work with cloud data platforms—preferably GCP—to support scalable data architecture and analytics.Apply Big Data, data modeling, and optimization techniques to design efficient data pipelines using ETL tools.Utilize foundational web UI concepts (HTML, CSS, JavaScript, React, Angular) to support data driven applications; hands on experience is a plus.