Total 1,336 data entry job vacancies in Australia

Job Description:

We are seeking a talented and experienced Data Scientist to join our team. The ideal candidate will be passionate about utilizing data science methodologies to derive insights from digital device sensor data coming from clinical studies and contribute to the development and implementation of algorithms in this area. As a Data Scientist, you will work closely with customers to analyze data and build models and tools that enhance understanding of clinical outcomes and solve their business problems.

Responsibilities:

• Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
• Develop and implement machine learning algorithms for processing and interpreting sensor data (e.g., accelerometers, heart rate monitors, etc.). Research and develop novel digital measures with clinical significance.
• Apply data preprocessing techniques to optimize large sets of sensor data processing and analysis, handling issues like noise, missing data, and time-series synchronization.
• Validate and interpret results to ensure accuracy, performance and scalability in real-time processing of sensor streams.
• Communicate findings and insights to stakeholders through clear and compelling visualizations, reports, and presentations.
• Work closely with cross-functional teams to develop data-driven solutions to address business needs.
• Stay up-to-date with the latest advancements in data science and clinical research to continuously improve methodologies and approaches.

Requirements:

• Ph.D. in Computer Science, Statistics, Mathematics, or related field.
• 3+ years of experience in data science, with a focus on sensor data analysis or digital health.
• Strong understanding of time-series analysis, signal processing, and feature extraction techniques.
• Proficiency in programming languages and libraries (e.g, Python/R, TensorFlow/Pytorch) for data analysis and machine learning.
• Hands-on experience with big data platforms and tools (e.g., Hadoop, Spark, cloud environments).
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills with the ability to work effectively in a team environment.

Preferred Qualifications:

• Hands-on experience with Large Language Models (LLMs) or Generative AI projects, such as prompt engineering, fine-tuning, or implementing Retrieval-Augmented Generation (RAG) pipelines
• Familiarity with cloud-based deployment platforms such as AWS, Azure or related and their data pipeline development.
• Experience working in the healthcare or pharmaceutical industry, particularly in clinical trials or digital health devices.
• Proven experience in taking algorithms from research to production, including considerations for scalability, performance, and ease of integration.
• Understanding of clinical trial workflows and regulatory requirements related to digital health.

Responsibilities

• Support the deployment and implementation of AI infrastructure and data centre projects.
• Coordinate project activities with customers, distributors, vendors, technology partners, and internal engineering teams.
• Assist in the design and implementation of AI computing solutions, including GPU servers, storage systems, networking equipment, and cooling infrastructure.
• Participate in customer meetings, technical discussions, and project planning activities.
• Prepare technical proposals, system architecture designs, deployment plans, and project documentation.
• Manage project schedules, milestones, deliverables, and progress reporting to ensure timely project execution.
• Coordinate and oversee Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT).
• Support installation, commissioning, troubleshooting, and maintenance of AI infrastructure solutions.
• Collaborate closely with global technology partners and OEMs to ensure successful project delivery and system integration.
• Ensure compliance with customer requirements, industry standards, and project specifications.
• Provide post-deployment technical support, issue resolution, and project follow-up to maintain customer satisfaction.

Requirement

• Min Diploma in Electrical Engineering, Mechanical Engineering, Computer Engineering, Information Technology, or related disciplines.
• Min 2 years of experience in project engineering, systems integration, data centres, IT infrastructure.
• Knowledge of servers, networking, storage systems, power distribution, cooling systems, or data centre infrastructure.
• Familiarity with AI computing platforms, GPU technologies, and high-performance computing environments will be an advantage.
• Require to travel locally and overseas when required.

To submit your application, please apply online to apply@rn-care.com or call +(65) 6513 5697 for private and confidential discussion.

Your interest will be treated with the strictest of confidence. We regret that only shortlisted candidates will be notified or contacted.

RN Care Pte. Ltd
EA License No: 17C8900

What You’ll Be Doing:

• Design, develop and deploy AI/ML/Gen AI solutions in areas including the consumer utilities app, electric vehicle charging, grid planning and monitoring, asset optimization, billing operations, work site safety and customer experience.
• Engage business stakeholders to understand user requirements, leverage domain knowledge, drive project targets and deliver business value.
• Work closely with data engineers, business analysts, product owners, UX designers, AI engineers and software engineers to adopt iterative, agile AI delivery framework.
• Establish and implement AI governance practices, including model documentation, validation, explainability, security guardrails, performance monitoring and ethical considerations.
• Monitor and evaluate emerging AI tools, frameworks, and vendor solutions for internal adoption.

What You’ll Need:
We are looking for Passion and Proficiency

• Experience in building and deploying ML models, including LLMs, RAG, and AI agents
• Strong skills in Python, data pipelines, model integration, deployment, and monitoring
• Proficient in data wrangling, feature engineering, and deriving insights from large datasets
• Knowledge of model explainability, bias mitigation and responsible AI practices
• Ability to translate business needs into AI solutions and deliver in agile, cross-functional teams
• Bachelor of Computer Science/Engineering, Data Analytics & AI or other related area

What Make You Stand Out:

• Ability to actively engage stakeholders, navigate dynamic complexities, lead end-to-end project delivery and manage work of team members.
• Experience deploying Gen AI models to production, including containerization (Docker), APIs, and cloud platforms (AWS, Azure, or GCP).
• Familiarity with governance frameworks like Singapore’s Model AI Governance Framework, EU AI Act, or NIST AI Risk Framework.
• Knowledge in energy tech or related domain.

If the above role is a good fit for you, or if you know anyone who might be good for the role, please get in touch with an updated CV and I'll be in touch!

EA Reg Number: R1660446

EA License Number: 07C3924 

Company Registration No: 200609504D

Job Description

We are seeking a Data and Artificial Intelligence Scientist to design, develop, and deploy scalable data and AI solutions that address real-world business and industry challenges. The successful candidate will work closely with product owners, software engineers, and industry stakeholders to build AI-driven applications, evaluate emerging technologies, and deliver production-ready solutions.

Key Responsibilities

• Design, develop, and deploy AI and machine learning solutions for business and industry applications.
• Collaborate with cross-functional teams throughout the product development lifecycle, including requirements gathering, solution design, prototyping, testing, deployment, and maintenance.
• Conduct technical assessments of emerging AI technologies, tools, and research to determine their suitability for practical implementation.
• Develop and maintain cloud-native applications and microservices-based solutions.
• Build, evaluate, and optimize machine learning and deep learning models for production environments.
• Design and implement Retrieval-Augmented Generation (RAG) systems, AI agents, and vector/graph database solutions.
• Develop software components following secure software development practices and agile methodologies.
• Ensure AI solutions meet functional and non-functional requirements, including scalability, security, transparency, maintainability, and cost efficiency.
• Prepare technical documentation and contribute to knowledge sharing within project teams.

Requirements

• Degree in Computer Science, Computer Engineering, Data Science, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related discipline.
• Strong knowledge of machine learning, deep learning, and artificial intelligence concepts.
• Experience developing and deploying AI applications in production environments.
• Proficiency in Python and/or C++ programming.
• Experience with data analysis, data visualization, and machine learning libraries.
• Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
• Experience with Large Language Models (LLMs), prompt engineering, and AI application development.
• Experience developing AI agents, Retrieval-Augmented Generation (RAG) solutions, and working with vector or graph databases.
• Knowledge of software engineering principles, APIs, and microservices architecture.
• Understanding of cloud platforms and modern software deployment practices.
• Experience with 3D geometry, vector mathematics, coordinate systems, and computational geometry will be an advantage.
• Familiarity with 3D modelling/CAD tools or related libraries such as Blender, OpenGL, CGAL, or Three.js will be an advantage.
• Good communication and interpersonal skills, with the ability to work effectively in multidisciplinary teams.

Experience Required

• Seniority and remuneration will be commensurate with qualifications and relevant experience.
• Candidates with 3 years or more of relevant experience in AI, machine learning, data science, or software engineering are encouraged to apply.

Role Summary

We are seeking an experienced and detail-oriented SAP Data Migration Specialist with strong ABAP programming expertise to join our team. This role is pivotal in ensuring a seamless transition of critical business data from our legacy SAP environment to our new ERP system. The ideal candidate will be responsible for the end-to-end data migration lifecycle, focusing on high-quality extraction, transformation, and validation processes.

Key Responsibilities

• Data Migration Strategy: Participate in full-cycle data migration activities, from initial analysis and extraction to final cutover, ensuring minimal downtime and business continuity.
• ABAP Development: Design, develop, and optimize robust SAP ABAP programs specifically tailored for complex data extraction and translation requirements.
• Collaborative Data Governance: Partner closely with functional teams to define and refine data mapping, cleansing, and validation rules. Actively contribute to improving overall data accuracy, integrity, and consistency across systems.
• Testing and Reconciliation: Lead the execution of comprehensive test runs and data reconciliations. Validate data integrity throughout every stage of the migration to ensure 100% accuracy post-transfer.
• Support and Troubleshooting: Provide dedicated post-migration support, proactively identifying and resolving any data-related issues or discrepancies that arise during or After the transition.

Required Technical Skills and Experience

Skill Category

• ABAP Development,
• Data Migration,
• Analytical Ability,
• ERP-Knowledge

Requirements

• Strong proficiency in ABAP, including Report programming, Function Modules, and Data Dictionary objects.
• Proven track record in end-to-end SAP data migration projects.
• Strong experience in data mapping, complex data cleansing, and performing data reconciliation.
• Deep understanding of SAP table structures and experience translating data for integration into new ERP environments.

Professional Competencies

• Strong communication skills to effectively collaborate with cross-functional teams.
• High attention to detail, especially regarding data accuracy and reconciliation.
• Ability to troubleshoot complex technical issues under tight deadlines.
•  Proactive approach to problem-solving and process improvement.  

Company: Royal Organization

About the Role:

Still figuring things out after graduation or ORD? Not keen on a traditional desk job?

We help brands grow through face-to-face marketing. More importantly, we help people grow.

What You'll Do:

· Represent brands through in-person campaigns

· Build communication & confidence skills

· Learn sales, leadership & team coordination

· Progress toward leading your own team (performance-based)

What We're Looking For:

· Willing to learn (no experience needed)

· Comfortable engaging with people daily

· Motivated by personal growth

· Enjoys a collaborative team environment

What You'll Get:

· 1-to-1 mentorship & structured training

· Fast progression based on merit, not seniority

· Supportive, energetic team culture

· Overseas exposure opportunities (performance-based)

No prior experience required. Fresh graduates and individuals from all backgrounds welcome.

Apply now and let's grow together

Job Descriptions:

• Check timecard against Info-tech clocking, enter the time hours, and ensure absent days are not given hours by the supervisors.
• Update and ensure accuracy of infotech database (eg. new join, cancellation, Home Leave records, basic salary, wp expirydates, csoc expiry dates, passport expiry dates & etc).
• Enforce strict controls on advances/loans—record, prepare bank file and recover fully.
• Ensure allowance and deductions are reflected in the payroll.
• Finalize data entries of payroll hours by the 5th; submit bank files by the 6th or latest 7th.
• Resolve bounced payments quickly.
• Finalise cash salary amount and coordinate toget the cash ready by the 8th.
• Keep the HR team & HOD informed of anypayroll queries and respond to workers/ supervisors within 2 working days.
• Submit job costing reports by the 10th.
• Issue payslips by the 14th.
• Check and tally balance of loan to workers against records of Finance Department on a monthly basis.
• Prepare and ensure original vouchers, loan agreements, payslips of cash salary, and etc are signed, returned, and scanned to server.
• Keep track of salary advances and giro transfers in Excel in a timely manner.
• Update and ensure accuracy of the increment excel in a timely manner.
• Prepare for settlement of salary, IR21 tax clearance, salary payment (including bank files for approver) for Home Leave Workers/ Resigned Workers and update in Excel in a timely manner.
• Check and submit yearly Employment Income IR8A.
• Prepare the required documents and respond to queries raised by the Finance auditor.
• Apply for levy waiver.
• Support ad-hoc tasks (e.g., Provide name list and payroll information for top management/ surveys/ policy renewals/submissions).
• Apply for bank accounts and distribute ATM cards in return with workers’ acknowledgements.
• Monitor passport and CSOC expiry dates, arrange timely renewals, and register workers for CSOC classes as needed.
• Maintain petty cash records.
• Reply to WhatsApp messages promptly.

Requirements:

• Available to start immediately.
• Fresh graduates are welcome. We can teach.
• Knowledge with Infotech Payroll & TMS modules is an advantage.
• Detail-oriented, proactive, and patient.
• Consistently having the passion to improve your work procedures and bring up to the team fordiscussion.
• Problem-solving and flexible thinking.
• Clear communication across all levels.
• Responsible team player—plan leave to avoid payroll timelines.