Junior Data Scientist – Business Operations & Analytics

Summary

We are seeking a highly analytical and strategic Junior Data Scientist to drive data-led decision making across a large-scale customer and business operations environment. This role will focus on leveraging advanced analytics, reporting, and data modelling to uncover actionable insights, improve operational performance, and influence business strategy. The ideal candidate thrives in ambiguous environments, can independently manage complex cross-functional initiatives, and is passionate about transforming data into meaningful business outcomes.

Responsibilities

• Develop and execute data science and analytics strategies that support business objectives and operational excellence.
• Design, build, and maintain advanced analytical models, prototypes, and frameworks to identify trends, opportunities, and performance improvements.
• Extract, process, and analyze large, complex datasets using SQL, Python, R, and Big Data technologies.
• Create and maintain scalable dashboards, reporting systems, KPIs, and operational metrics to support business performance monitoring.
• Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders.
• Partner closely with cross-functional teams including Operations, Product, Engineering, and Business Leadership to solve complex business challenges.
• Drive data governance, reporting best practices, and continuous improvements in analytics methodologies.
• Mentor and support analysts and data professionals, fostering a culture of collaboration, innovation, and analytical excellence.
• Identify opportunities to automate reporting, streamline workflows, and improve operational efficiency through data-driven solutions.
• Present insights and strategic recommendations to senior leadership to influence decision-making and business direction.

Requirements

Essential

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative discipline.
• 2 - 3 years of experience in data analytics, data science, business intelligence, operations analytics, or a similar function.
• Advanced SQL skills, including the ability to build, optimize, and maintain complex queries against large datasets.
• Experience working with Big Data technologies and analytical tools such as Tableau, Hive, Presto, Python, and/or R.
• Strong understanding of operational metrics, KPIs, reporting frameworks, and performance measurement methodologies.
• Proven ability to perform exploratory analysis and derive actionable insights from complex datasets.
• Experience designing dashboards, reports, and visualizations that support business decision-making.
• Excellent communication and stakeholder management skills, with the ability to explain technical concepts to diverse audiences.
• Strong problem-solving mindset with the ability to work independently in fast-paced and ambiguous environments.

Preferred

• Experience supporting Customer Operations, Customer Support, Scaled Operations, Shared Services, or Business Operations functions.
• Experience working with large-scale datasets in high-growth technology, digital, e-commerce, or platform-based organizations.
• Knowledge of data pipeline architecture, ETL processes, and data warehousing concepts.
• Exposure to machine learning, predictive analytics, forecasting, or statistical modelling techniques.
• Demonstrated track record of driving measurable business impact through data-driven initiatives.
• Experience mentoring analysts or leading cross-functional analytics projects.

This is an initial 12-months contract role

Our client, one of Asia-Pacific’s leading organizations is looking for:

Data Scientist

Responsibilities:

• Work with product owners, engineering teams, and industry partners throughout the product development lifecycle from concept, design, prototyping, acceptance testing, data curation, delivery, operationalisation, industry proliferation, to product end-of-life
• Develop and deploy software components based on microservices-based architecture
• Participate in agile secure software development processes and best practices, documentation of user requirements and software codes during the software development lifecycle
• Propose, implement, and validate algorithms, ensuring functional and non-functional requirements

Requirements:

• Degree in Engineering, Computer Science, Mathematics, Statistics or equivalent with strong technical knowledge in AI
• Good understanding of the latest research and technologies in AI for production deployment
• Strong coding experience in programming languages such as Python and/or C++
• Experience working with libraries for data manipulation, visualization, machine learning, and reporting.
• Hands-on experience with one or more deep learning frameworks, e.g., TensorFlow, Torch
• Extensive experience with OpenAI and Claude code-based prompt engineering; Hands-on experience developing and deploying AI Agents, RAG and vector/graph databases.
• Strong understanding of 3D geometry, vector math, and coordinate systems
• Proficiency in relevant 3D modeling or CAD software (e.g., Blender, Rivet) and/or programming libraries (e.g., OpenGL, CGAL, Three.js)

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Interested applicants can also email CV at harry@nsearchglobal.com (for faster processing, please state the exact job / position title applied “Data Scientist”

Only shortlisted candidates will be notified.

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EA License Number: 10C3636
EA Personnel Name: Arora, Hardeep
EA Personnel Registration Number: R1111454

By submitting your resume and cover letter to apply for our job opening, you confirm that you have read the Data Protection Notice for Job Applicants (https://www.nsearchglobal.com/dp-notice/job-applicants) and you consent to the collection, use, and disclosure of your personal data for the purpose of verifying and evaluating your job application. Additionally, you have to notify and obtain consent from all individuals listed as your references to their data being collected and disclosed for the purposes related to your job application

The intern will be attached to the Fleet Digital section and will support the team in the following activities: 

• Extract and analyze sets of data from multiple sources and database for Harbour Launch, Tugs and Crew Deployment; develop and test hypothesis and communicate with section managers recommendations. 

• Identify and interpret trends or patterns in the collected data sets. 

• Detect anomalies, spot discrepancies and possible defects from our Fleet Management System 

• Produce insights on operations data using analytic tools (Python/Excel/Power BI) 

• Design, develop and maintain ongoing reports and dashboards. 

• Take in the lead in digitalization projects by working with key stakeholders within and outside of organization. 

• Perform any other ad-hocs duties as assigned. 

Preferred Skills

• Proficiency in Python Programming Language and Excel VBA 

• Experience in UI/UX designing and able to develop dashboard with data visualization tools (Example: Power BI and Tableau) 

• Analytical mindset driven to understand machinery and operation data 

• Strong organizational and problem-solving skills 

• Commitment to learning including new analytical methods and Harbour Craft profile 

• Ability to identify data-driven insights and trends from large data sets, keeping in mind of data quality and accuracy 

• Able to develop Robotics Process Automation (RPA) – UiPath would be a plus. 

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

Role Overview:

We are looking for a Data Engineer to support large-scale government and defence-related data projects, focusing on building secure, scalable, and reliable data platforms and ETL/ELT pipelines across cloud and enterprise environments.

Job Responsibilities:

Data Engineering & Platform Development

• Design and develop scalable and reliable data pipelines.
• Build enterprise data platforms, including data warehouses, data lakes, and lakehouses.
• Implement cloud, hybrid, and on-premises data architectures aligned with enterprise standards.

ETL/ELT & Data Integration

• Lead ETL/ELT pipeline development, with Talend as a highly preferred platform.
• Integrate structured, semi-structured, and unstructured data sources.
• Implement and maintain data quality, validation, and error-handling frameworks.

Data Management & Governance

• Design and manage data storage solutions with a strong focus on object storage, data quality, and data governance.
• Implement and maintain data lifecycle management and cost-optimisation strategies.
• Ensure data lineage, traceability, and auditability.

Analytics & BI Enablement

• Engineer analytics-ready data models for reporting and self-service analytics.
• Enable BI dashboards, reports, and analytics through performant and governed data pipelines.

Security & Compliance

• Ensure compliance with government security and privacy requirements.
• Implement and maintain encryption, access controls, secure data handling practices, and system security policies.

Job Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Minimum 3 years of experience in enterprise data engineering roles.
• Strong hands-on data engineering experience.
• Strong SQL and Python skills.
• Experience with ETL/ELT tools, with Talend highly preferred.
• Experience with data warehouses, data lakehouses, data lakes, and object storage systems.
• Qlik Sense Enterprise integration experience is highly preferred.
• Prior CAT 1 / G50 security clearance is required.
• Previous experience delivering MINDEF projects is required.

1. Position Summary

We are looking for a Data Engineer to join our team and contribute to a major project within the semiconductor manufacturing domain. The role involves designing and implementing data pipelines, managing Oracle-based data environments, and supporting end-to-end BI processes — from data ingestion to visualization. This position is based on-site at our partner’s advanced manufacturing facility, offering hands-on exposure to large-scale industrial data systems.

2. Key Responsibilities

• Design, develop, and maintain Python-based applications and APIs to extract, transform, and deliver data in JSON format.
• Design and create robust data models to support efficient querying and reporting.
• Define relationships, hierarchies, and calculated columns/measures that align with business logic.
• Design, develop, and maintain data pipelines and ETL workflows for manufacturing data (ERP, MES, SPC, FDC, etc.).
• Implement and optimize database logic, including stored procedures, functions, and PL/SQL scripts.
• Build and manage staging schemas, data validation processes, and data transformation logic.
• Develop and maintain data marts and dimensional models to support analytics and reporting.
• Collaborate with BI developers and analysts to deliver Power BI dashboards, KPI reports, and visual analytics.
• Ensure data accuracy, consistency, and completeness across multiple source systems.
• Support data governance, documentation, and performance tuning efforts.
• Partner with internal and external stakeholders to ensure timely and high-quality data delivery for business use.
• Perform any ad-hoc duties assigned by the Company as and when required.

3. Qualifications& Skills

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• Minimum 3 years of experience in data engineering, data integration, or BI development.
• Proficient in Python programming, specifically for data extraction, API development, and JSON data manipulation.
• Strong understanding of data warehousing concepts, schema design, and ETL best practices.
• Solid working experience with relational databases (e.g. Oracle, SQL Server, MySQL, PostgreSQL), including stored procedures and query optimization.
• Proficient with ETL tools such as Pentaho Kettle, Informatica, Talend, or similar.
• Experience developing reports and dashboards in Power BI (or Tableau/Qlik).
• Familiarity with SQL pipelines, data validation, and data replication tools.
• Strong analytical and problem-solving mindset with attention to data quality and performance.
• Ability to work collaboratively with business, IT, and engineering teams in fast-paced environments.
• Excellent documentation and communication skills.

4. Preferred /Additional

• Experience in semiconductor or manufacturing systems (ERP, MES, SPC, FDC) preferred.
• Exposure to data replication frameworks (Oracle Golden Gate, SharePlex, AWS Glue) is an advantage.
• Experience developing custom Python applications/APIs for data extraction and familiarity with JSON data structures is highly preferred.
• Familiarity with cloud-based data warehouses (Snowflake, Redshift, Synapse) and Giga Report is a plus
• Knowledge of data governance frameworks, metadata management, and data security best practices.

Responsibilities

We are looking for a seasoned BAU Lead - Data Engineering to lead our data

operations and support function in a cloud-first environment. The ideal

candidate will bring strong technical leadership, hands-on expertise in AWS

and Snowflake, and proven experience in managing Business-As-Usual (BAU)

data platforms, production support, and continuous improvement initiatives.

▪ Develop tools to improve data flows between internal/external systems

and the data lake/warehouse.

▪ Work with stakeholders to understand needs for data structure, availability,

scalability, and accessibility.

▪ Build robust and reproducible data ingest pipelines to collect, clean,

harmonize, merge, and consolidate data sources.

▪ Understanding existing data applications and infrastructure architecture

▪ Build and support new data feeds for various Data Management layers and

Data Lakes

▪ Evaluate business needs and requirements.

▪ Support migration of existing data transformation jobs in Oracle, and MS[1]SQL to Snowflake.

▪ Lead the migration of the existing data transformation jobs in Oracle, Hive,

Impala etc. into Spark, Python on Glue etc.

▪ Able to document the processes and steps.

▪ Develop and maintain datasets.

▪ Improve data quality and efficiency.

▪ Lead Business requirements and deliver accordingly.

▪ Collaborate with Data Scientists, Architect and Team on several Data

Analytics projects.

▪ Collaborate with DevOps Engineer to improve system deployment and

monitoring process.

▪ Experience in critical production support and how the BAU functions is

preferred.

Requirements Key Skills:

▪ Lead a team of data engineers in managing day-to-day BAU operations,

production support, incident management, and platform stability.

▪ Strong AWS knowledge in terms of designing new architecture and

providing optimized solutions for existing ones. (S3, Glue, DMS, MWAA,

AMS, IAM).

▪ In-depth knowledge with respect to Snowflake and its architecture.

▪ Prefer prior Experience in BAU environment.

▪ Good knowledge on Airflow and MWAA.

▪ Hands-on experience in SQL/Python/Pyspark.

▪ Expertise in optimizing techniques in cloud environments.

▪ Should have the vision on data strategy and able to deliver the same.

▪ Should be able to lead the design and implementation of data management

processes, including data sourcing, integration, and transformation.

▪ Able to manage and lead a team of data professionals, providing guidance,

mentoring and foster a collaborative and innovative team culture focused on

continuous improvement.

▪ To evaluate and recommend data-related technologies, tools, and

platforms.

▪ Collaborate with IT teams to ensure seamless integration of data solutions.

▪ Should have experience in Implementing and enforcing data security

protocols and ensure compliance with relevant regulations.

Required Qualifications:

▪ At least 8+ years of Data Engineer Experience

▪ Bachelor qualification in a computer science or STEM (science, technology,

engineering, or mathematics) related field.

▪ At least 5+ years of recent hands-on professional experience (actively

coding) working as a Lead handling support & production issue.

▪ 2+ experience with large scale datasets, data lake and data warehouse

technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake

is highly preferred.

▪ At least 3+ years of experience in ETL (AWS Glue), Amazon S3, Amazon

RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step

Functions.

▪ Professional experience working in an agile, dynamic and customer-facing

environment is required.

▪ Understanding of distributed systems and cloud technologies (AWS) is

highly preferred.

▪ Understanding of data streaming and scalable data processing is preferred

to have.

▪ Strong knowledge in scripting languages like SQL ,Python, UNIX shell and

Spark is required.

▪ Understanding of RDBMS, Data ingestions, Data flows, Data Integrations

etc.

▪ Technical expertise with data models, data mining and segmentation

techniques.

▪ Experience with full SDLC lifecycle and Lean or Agile development

methodologies.

▪ Knowledge of CI/CD and GIT Deployments.

▪ Ability to work in team in diverse/ multiple stakeholder environment.

▪ Ability to communicate complex technology solutions to diverse teams

namely, technical, business and management teams

Soft Skills

▪ Ability to work in a collaborative environment and coach other team

members on coding practices, design principles, and implementation

patterns that lead to high quality maintainable solutions.

▪ Excellent communications and stake-holder management are required.

▪ Ability to handle senior leadership and report to them if required.

▪ Ability to work in a dynamic, agile environment within a geographically

distributed team.

▪ Ability to focus on promptly addressing customer needs.

▪ Ability to work within a diverse and inclusive team.

▪ Technically curious, self-motivated, versatile and solution-oriented

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

Responsibilities

We are looking for a seasoned BAU Lead - Data Engineering to lead our data

operations and support function in a cloud-first environment. The ideal

candidate will bring strong technical leadership, hands-on expertise in AWS

and Snowflake, and proven experience in managing Business-As-Usual (BAU)

data platforms, production support, and continuous improvement initiatives.

▪ Develop tools to improve data flows between internal/external systems

and the data lake/warehouse.

▪ Work with stakeholders to understand needs for data structure, availability,

scalability, and accessibility.

▪ Build robust and reproducible data ingest pipelines to collect, clean,

harmonize, merge, and consolidate data sources.

▪ Understanding existing data applications and infrastructure architecture

▪ Build and support new data feeds for various Data Management layers and

Data Lakes

▪ Evaluate business needs and requirements.

▪ Support migration of existing data transformation jobs in Oracle, and MS[1]SQL to Snowflake.

▪ Lead the migration of the existing data transformation jobs in Oracle, Hive,

Impala etc. into Spark, Python on Glue etc.

▪ Able to document the processes and steps.

▪ Develop and maintain datasets.

▪ Improve data quality and efficiency.

▪ Lead Business requirements and deliver accordingly.

▪ Collaborate with Data Scientists, Architect and Team on several Data

Analytics projects.

▪ Collaborate with DevOps Engineer to improve system deployment and

monitoring process.

▪ Experience in critical production support and how the BAU functions is

preferred.

Requirements Key Skills:

▪ Lead a team of data engineers in managing day-to-day BAU operations,

production support, incident management, and platform stability.

▪ Strong AWS knowledge in terms of designing new architecture and

providing optimized solutions for existing ones. (S3, Glue, DMS, MWAA,

AMS, IAM).

▪ In-depth knowledge with respect to Snowflake and its architecture.

▪ Prefer prior Experience in BAU environment.

▪ Good knowledge on Airflow and MWAA.

▪ Hands-on experience in SQL/Python/Pyspark.

▪ Expertise in optimizing techniques in cloud environments.

▪ Should have the vision on data strategy and able to deliver the same.

▪ Should be able to lead the design and implementation of data management

processes, including data sourcing, integration, and transformation.

▪ Able to manage and lead a team of data professionals, providing guidance,

mentoring and foster a collaborative and innovative team culture focused on

continuous improvement.

▪ To evaluate and recommend data-related technologies, tools, and

platforms.

▪ Collaborate with IT teams to ensure seamless integration of data solutions.

▪ Should have experience in Implementing and enforcing data security

protocols and ensure compliance with relevant regulations.

Required Qualifications:

▪ At least 8+ years of Data Engineer Experience

▪ Bachelor qualification in a computer science or STEM (science, technology,

engineering, or mathematics) related field.

▪ At least 5+ years of recent hands-on professional experience (actively

coding) working as a Lead handling support & production issue.

▪ 2+ experience with large scale datasets, data lake and data warehouse

technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake

is highly preferred.

▪ At least 3+ years of experience in ETL (AWS Glue), Amazon S3, Amazon

RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step

Functions.

▪ Professional experience working in an agile, dynamic and customer-facing

environment is required.

▪ Understanding of distributed systems and cloud technologies (AWS) is

highly preferred.

▪ Understanding of data streaming and scalable data processing is preferred

to have.

▪ Strong knowledge in scripting languages like SQL ,Python, UNIX shell and

Spark is required.

▪ Understanding of RDBMS, Data ingestions, Data flows, Data Integrations

etc.

▪ Technical expertise with data models, data mining and segmentation

techniques.

▪ Experience with full SDLC lifecycle and Lean or Agile development

methodologies.

▪ Knowledge of CI/CD and GIT Deployments.

▪ Ability to work in team in diverse/ multiple stakeholder environment.

▪ Ability to communicate complex technology solutions to diverse teams

namely, technical, business and management teams

Soft Skills

▪ Ability to work in a collaborative environment and coach other team

members on coding practices, design principles, and implementation

patterns that lead to high quality maintainable solutions.

▪ Excellent communications and stake-holder management are required.

▪ Ability to handle senior leadership and report to them if required.

▪ Ability to work in a dynamic, agile environment within a geographically

distributed team.

▪ Ability to focus on promptly addressing customer needs.

▪ Ability to work within a diverse and inclusive team.

▪ Technically curious, self-motivated, versatile and solution-oriented

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 Description

• Handle admin duties

• Data entry

• Filing and scanning of documents

• Prepare invoices and quotations

• Other duties as assigned

Topaz Liang Huimin

CEI Registration No: R1104500

Email: west1@recruitexpress.com.sg

Recruit Express Pte Ltd (EA: 99C4599)

Company Overview

A-IT Software Services Pte Ltd, established in 1991 and headquartered in Singapore, specializes in development outsourcing with expertise in project management, system design, and development for consumer banking, credit cards, and loans. The company has a strong track record and regional presence in Malaysia.

Job Summary

You will analyze financial data using Python and analytics tools to deliver ad hoc insights and develop data analytics solutions that support business decision-making in financial institutions.

Responsibilities

• Analyze financial data using Python to generate actionable insights for business stakeholders
• Develop, build, and maintain data analytics solutions to support ongoing business needs
• Use analytics platforms and tools effectively to extract, transform, and visualize data for reporting and decision support
• Provide ad hoc data analysis and insights to address specific business questions and challenges

Other Information

This job advertisement is posted by: Tan Geok Khim (Deng Yuqin) (R22107857) A-IT Software Services Pte Ltd

• EA License No: 24C2345

• “By submitting your application for this position, you consent to the collection, use, and disclosure of your personal data by A-IT Software Services and its recruitment partners, including Employment and Employability Institute Pte Ltd, for the purpose of i) employment facilitation and ii) data and statistical analysis. You may find out more information on the PDPA policies at [A-IT Software Services PDPA website] and [https: //www.e2i.com.sg/pdpa/].”

Department Overview:

The Intl AI CoE plays a key role in defining and implementing the firm's AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Nomura's data culture.

Role Description:

• Information delivery & analytics. Deep expertise in data science with cutting-edge generative AI technologies to develop, implement, and optimize AI systems that create meaningful business value. You will work at the intersection of research and application, turning complex data into intelligent generative solutions.
• Model Development & Research. Design and develop generative AI models for various applications (text, image, code, multimodal). Research and implement novel approaches in prompt engineering, RAG systems, and model alignment. Stay current with latest research in generative AI, LLMs, and related fields
• Applied AI Solutions. Translate business requirements into generative AI technical solutions. Build and optimize retrieval-augmented generation (RAG) systems. Develop custom evaluation metrics for domain-specific generative tasks
• Be a trusted partner. Shape the information & analytics agenda at Nomura, and work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps.
• Risk Mindset: Familiar with risk and controls frameworks and ability to operate with a control mindset

Skills, experience, qualifications, and knowledge required:

Core Skills requirement:

• Proven experience developing and fine-tuning models using LLMs, diffusion models, and transformer architectures. Proficiency with frameworks such as Hugging Face, LangChain, or LlamaIndex. Working knowledge of Python libraries including pandas, NumPy, and scikit-learn for data analysis and model development.
• Demonstrated understanding of generative AI techniques, including attention mechanisms, tokenization, and embeddings. Hands-on experience applying prompt engineering, few-shot, and in-context learning for AI applications. Experience with model evaluation for generative performance, and working knowledge of responsible AI, bias mitigation, and safety frameworks. Familiarity with vector databases and semantic search systems.
• Proficiency in programming languages such as Python, SQL, and Unix shell scripting for AI and data engineering workflows.
• Experience designing, building, and deploying scalable and resilient microservices, including the development of efficient and secure server-side APIs.
• Proven experience implementing CI/CD pipelines (e.g., Jenkins, GitLab) and applying DevOps methodologies to automate deployment and integration processes.
• Experience with cloud technologies such as AWS EC2, EMR or similar tools with ability to drive design and data model discussions, hybrid data architecture.
• Experience collaborating with cross-functional and geographically dispersed teams across multiple regions to deliver AI/technology solutions.
• Proven ability to manage concurrent AI projects and meet delivery timelines in dynamic and fast-changing environments.
• Experience managing stakeholder expectations of senior management.
• Proficiency in written and verbal communication skills, with the ability to document AI processes and present technical content clearly to both technical and non-technical audiences.
• Demonstrated analytical and problem-solving skills with experience deriving data-driven insights and actionable recommendations.
• Experience evaluating business or technical requirements, identifying improvement opportunities, and proposing solutions that enhance system or business value.

Education and experience:

• At least 4-year Bachelor’s degree in quantitative fields with minimum of 5 years of relevant data experience in data scientist /Gen AI, preferably in financial organizations or Masters in quantitative fields (Computer Science, Statistics or similar)
• Experience of working with a multi-cultural, multi-disciplined, globally dispersed teams
• Professional certifications in AI/ML frameworks, cloud technologies, or DevOps tools (e.g., AWS Certified Machine Learning, TensorFlow, or Kubernetes) are advantageous.

Nomura Competencies

Explore Insights & Vision

• Identify the underlying causes of problems faced by you or your team and define a clear vision and direction for the future.

Making Strategic Decisions

• Evaluate all the options for resolving the problems and effectively prioritize actions or recommendations.

Inspire Entrepreneurship in People

• Inspire team members through effective communication of ideas and motivate them to actively enhance productivity.

Elevate Organizational Capability

• Engage proactively in professional development and enhance team productivity through the promotion of knowledge sharing.

Inclusion

• Respect DEI, foster a culture of psychological safety in the workplace and cultivate a "Risk Culture" (Challenge, Escalate and Respect).

Diversity Statement

Nomura is committed to an employment policy of equal opportunities and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender, or sexual orientation.

DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.

Nomura is an Equal Opportunity Employer
SFID: 12416

Our client is a well established data centre and IT infrastructure company that focuses on providing carrier-neutral data centre services, network connectivity, managed services and related technology solutions.

They are looking for a motivated Data Center Engineer to support the day-to-day operations and maintenance of mission-critical data centre infrastructure. In this role, you will be responsible for ensuring the reliable operation, maintenance, and optimisation of data centre facilities.

Key Responsibilities

Data Centre Operations & Reliability

• Oversee day-to-day operations of critical infrastructure including power, cooling, fire suppression, and monitoring systems.
• Ensure high availability and resilience of all active and redundant systems.
• Lead response to alarms, incidents, and emergencies, performing root cause analysis and corrective actions.

Maintenance & Engineering

• Plan and execute preventive and corrective maintenance activities.
• Review maintenance procedures and implement improvements to enhance system reliability and efficiency.
• Manage testing of backup systems (UPS, generators, switchgear, CRAC, etc.).

Customer & Stakeholder Support

• Coordinate customer installations, move-ins, turn-ons, and infrastructure changes.
• Ensure contracted SLAs and KPIs are met or exceeded.
• Liaise with internal teams, vendors, and customers to support operational requirements.

Projects & Change Management

• Support data centre projects, upgrades, and capacity expansion works.
• Review technical designs, method statements, and risk assessments.
• Oversee contractors and ensure works are carried out safely and in accordance with standards.

Safety, Compliance & Reporting

• Ensure strict adherence to workplace safety, SOPs, and regulatory requirements.
• Prepare incident reports, operational logs, and performance reports.
• Participate in shift coverage and on-call rotation as required.

Requirements

• Willing to work 24/7 rotating shifts
• Willing to work at both locations
• At least 2-3 years of relevant experience for a data centre

Work Locations

Bedok/Woodlands

(Rotation of location will be required)

Working Hours

Morning Shift: 8.30am - 8.30pm

Night Shift: 8.30pm - 8.30am

(Shifts will rotate every 2 weeks)

Shift pattern: work 3 days rest 3 days, work 2 days rest 2 days

Salary

Up to $4800

Benefits

AWS, Variable Bonus, Allowances, Flexi benefits, 21 days annual leave

Interested candidates kindly click APPLY NOW to submit your latest CV.

We regret that only shortlisted candidates will be notified.

Search Avenue Pte Ltd

EA License No.: 25C2695

EA Registration No.: R25157669 [Amanda Wee]

Our client is a well established data centre and IT infrastructure company that focuses on providing carrier-neutral data centre services, network connectivity, managed services and related technology solutions.

They are looking for a motivated Senior Data Centre Engineer to support the day-to-day operations and maintenance of mission-critical data centre infrastructure. In this role, you will be responsible for ensuring the reliable operation, maintenance, and optimisation of data centre facilities. This role provides technical leadership in managing critical M&E infrastructure, supports service delivery excellence, and ensures compliance with safety, operational, and regulatory standards.

Key Responsibilities

Data Centre Operations & Reliability

• Oversee day-to-day operations of critical infrastructure including power, cooling, fire suppression, and monitoring systems.
• Ensure high availability and resilience of all active and redundant systems.
• Lead response to alarms, incidents, and emergencies, performing root cause analysis and corrective actions.

Maintenance & Engineering

• Plan, supervise, and execute preventive and corrective maintenance activities.
• Review maintenance procedures and implement improvements to enhance system reliability and efficiency.
• Manage testing of backup systems (UPS, generators, switchgear, CRAC, etc.).

Technical Leadership

• Provide technical guidance and mentorship to junior engineers and technicians.
• Act as escalation point for complex technical issues.
• Support audits, certifications, and compliance initiatives (e.g. ISO, SS 564, Uptime).

Customer & Stakeholder Support

• Coordinate customer installations, move-ins, turn-ons, and infrastructure changes.
• Ensure contracted SLAs and KPIs are met or exceeded.
• Liaise with internal teams, vendors, and customers to support operational requirements.

Projects & Change Management

• Support data centre projects, upgrades, and capacity expansion works.
• Review technical designs, method statements, and risk assessments.
• Oversee contractors and ensure works are carried out safely and in accordance with standards.

Safety, Compliance & Reporting

• Ensure strict adherence to workplace safety, SOPs, and regulatory requirements.
• Prepare incident reports, operational logs, and performance reports.
• Participate in shift coverage and on-call rotation as required.

Requirements

• Willing to work 24/7 rotating shifts
• Willing to work at both locations
• At least 4-5 years of relevant experience for a data centre

Work Locations: Bedok/Woodlands (Rotation of location will be required)

Working Hours

Morning Shift: 8.30am - 8.30pm

Night Shift: 8.30pm - 8.30am

(Shifts will rotate every 2 weeks)

Shift pattern: work 3 days rest 3 days, work 2 days rest 2 days

Salary

Up to $5500

Benefits

AWS, Variable Bonus, Allowances, Flexi benefits, 21 days annual leave

Interested candidates kindly click APPLY NOW to submit your latest CV.

We regret that only shortlisted candidates will be notified.

Search Avenue Pte Ltd

EA License No.: 25C2695

EA Registration No.: R25157669 [Amanda Wee]

Role Overview

We are seeking a Data Engineer to design, develop, and maintain scalable, secure, and reliable data platforms and pipelines that support business and operational needs. The successful candidate will work closely with stakeholders, engineers, and data stewards to deliver high-quality data products while ensuring strong governance, security, and operational excellence.

Key Responsibilities

Data Pipeline Development and Architecture

• Translate business and data requirements into technical specifications and scalable data solutions.

• Develop and maintain data products as part of a cross-functional data team.

• Design, build, and optimise data ingestion pipelines to collect, transform, integrate, and harmonise data from multiple source systems.

• Design, develop, test, and maintain reusable data models to support reporting, analytics, and operational use cases.

• Implement secure and efficient mechanisms for users and applications to access enterprise data assets.

• Evaluate and implement new technologies, tools, and processes to enhance data infrastructure capabilities and performance.

Data Quality, Testing and Validation

• Develop and implement data quality controls and validation processes to ensure data accuracy, completeness, and consistency.

• Design, execute, and maintain test cases for data pipelines, including functional, regression, and exploratory testing.

• Build and maintain automated testing frameworks to improve data reliability and reduce production defects.

• Perform data reconciliation and integrity testing to validate end-to-end data processing and transformation workflows.

• Support User Acceptance Testing (UAT) activities by working with stakeholders to validate business requirements and expected outcomes.

Operations, Governance and Continuous Improvement

• Monitor and maintain databases, ETL processes, and data platforms, including performance optimisation, troubleshooting, capacity planning, and operational support.

• Collaborate with technology teams and stakeholders to align infrastructure, security, and platform requirements.

• Support the implementation and enforcement of data governance policies, standards, and best practices.

• Maintain data catalogues, metadata repositories, and data lineage documentation.

• Implement data security controls, including access management, encryption, masking, and other data protection measures.

• Drive continuous improvements in CI/CD, DevOps, and Site Reliability Engineering (SRE) practices.

Requirements

Qualifications and Experience

• Bachelor's Degree in Computer Science, Software Engineering, Information Technology, or a related discipline.

• Strong understanding of system design principles, data structures and algorithms, data modelling, data access patterns, and data storage technologies.

• Experience designing, building, and maintaining batch and real-time data pipelines.

• Hands-on experience with workflow orchestration tools such as Apache Airflow and Azure Data Factory.

• Proficiency in Python, SQL, and Shell scripting.

• Experience working with cloud platforms such as AWS, Microsoft Azure, and Google Cloud Platform (GCP).

• Experience with Databricks.

• Experience implementing data quality frameworks, validation processes, and testing methodologies for data pipelines.

• Familiarity with automated testing approaches and integration within CI/CD environments.

• Experience with issue tracking and test management tools such as JIRA or equivalent platforms.

• Familiarity with CI/CD pipelines and DevOps practices.

• Experience using DevOps tools such as Docker, Git, and Terraform.

• Experience implementing solutions that support data security, data quality, and data governance requirements.

Preferred Experience

• Familiarity with government-sector data management, governance, infrastructure, and security frameworks.

• Experience in climate, weather, environmental, or geospatial data domains will be advantageous.

Additional Information

• Appointment level and remuneration will be commensurate with qualifications, skills, and relevant experience.

Job Description

Ensuring Compliance with the PDPA

To ensure that the organisation meets specific PDPA requirements. This includes overseeing the processes and systems in place to secure personal data and assessing potential risks in data management.

Identifying and Escalating Potential Risks to Management

Responsible for identifying potential data protection risks within the organisation and escalating these risks to management. This ensures that leadership is aware of vulnerabilities and can take appropriate action to mitigate them.

Increasing Stakeholder Awareness

To educate employees on data privacy and PDPA requirements and organise training sessions that help staff understand the importance of data protection and the practices they must adopt to ensure compliance.

Raise awareness among external stakeholders, such as contractors and business partners, about the organisation’s data protection obligations and policies.

Handling Data Inquiries and Complaints

When it comes to data-related enquiries from individuals within and outside the organisation, a DPO serves as the very first point of contact. They address concerns, investigate complaints and work to resolve issues related to data handling practices.

Developing and Implementing Data Protection Policies

Establishes specific data protection policies and has them tailored to the unique data handling practices of the company. These policies guide employees in handling data responsibly to create a structured approach to data privacy.

Liaising with the Personal Data Protection Commission (PDPC)

Acting as the primary liaison with the Personal Data Protection Commission (PDPC),a DPO should actively facilitate communication regarding any data protection issues, audits, or incidents. This connection allows the organisation to remain informed on regulatory changes and enforcement actions.

Ad-hoc duties assigned by immediate superior.

Job Requirements

• Bachelor’s degree or Diploma holder in any discipline.
• Proficient in data protection and compliance. Able to educate, train and facilitate PDPA related work.
• Strong interpersonal and communication skills, verbal and written, to collaborate and engage with various levels of stakeholders.
• Keen and motivated to continuously learn and improve, proactive and thrive when facing challenges.
• Diligent in completing tasks and processes from start to end, adhere well to timelines independently and as a team.
• Resourceful, analytical and keen in problem-solving.
• Proficient in MS Office applications.

As a Data Center AutoCAD Design Engineer, you will be responsible for designing, implementing, and maintaining our data center infrastructure to ensure optimal performance, reliability, and security. You will work closely with our engineering teams to help out our growing infrastructure needs and show your work through your command of your AutoCAD design experience.

Responsibilities:

● Design and create layouts of data center infrastructure including facilities structure, cabinets, overhead ladders and raceways, structured cabling, aisles (hot & cold), cabinets, mechanical, electrical, servers, storage, and networking equipment.

● Perform capacity planning and resource allocation to ensure the scalability and efficiency of our data center environment.

● Monitor and optimize the performance of data center infrastructure components to meet service level agreements (SLAs) and business requirements.

● Troubleshoot and resolve infrastructure-related issues, collaborating with cross- functional teams as needed.

● Implement and maintain security measures to protect data center assets and ensure compliance with industry standards and regulations.

● Plan and execute infrastructure upgrades and migrations with minimal impact on ongoing operations.

● Document configurations, processes, and procedures to ensure knowledge sharing and operational continuity.

● Stay abreast of the latest developments in data center technologies and best practices, recommending and implementing improvements as necessary.

● Utilize AutoCAD design experience to create detailed technical drawings and models for data center layouts and infrastructure components.

Requirements:

● Strong knowledge of data center architecture along with the minimum design requirements for a network, compute, and storage racks as well as layers 2/3 and virtualization platforms

● Proven experience in a colocation, inside plant, or telecommunications facilities engineer or similar role in a large-scale data center or telecom environment.

● Solid understanding of physical design standards and IT security best practices in data centers and colocation facilities.

● Strong understanding of public cloud infrastructure as well as cloud-native applications, preferably with demonstrable experience in helping scale the overall global footprint of a geographically diverse production network

● Excellent troubleshooting skills with the ability to analyze complex issues and implement effective solutions.

● Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

● Relevant certifications (e.g., CCNA, MCSE, VCP, Autodesk Certified Professional) would be a plus.

● Proficiency in AutoCAD or similar software for designing data center layouts and infrastructure components.

Responsibilities

• Implement audit trail and governance controls
• Support UAT validation and business sign-off
• Collaborate with business units and Data Analytic teams
• Design, implement, and maintain deterministic rule-based logic
• Convert business requirements and domain knowledge into structured rule frameworks
• Ensure rule versioning, governance, and end-to-end traceability
• Evaluate and enhance Python-based AI components and workflows
• Verify AI-generated outputs for compliance with established business rules
• Undertake any other ad hoc duties as assigned

Requirements

• Minimum 1 to 2 years of experience in UAT/Business Analysis/Data functions
• Experienced in Data analysis, business analysis

Interested applicants please email your resume to meganng@recruitexpress.com.sg
Megan Ng Su Ting (CEI No.: R23115059)
Recruit Express Pte Ltd
EA Licence No: 99C4599

*** We regret that only shortlisted candidates will be contacted.

Job Title: Front of House Staff (Entry Level)!

Weekday Rate: $13/hour
Weekend Rate: $15/hour
Department: Front-of-House - F&B Department

Work Schedule: Minimum 3 days/week, 20 hours/week minimum, up to 35 hours/week

Location:

• Sentosa (Gold) - DRIM Korean Steakhouse

• Orchard: DRIM Korean Steakhouse

• Orchard: MODU SamGyeTang

• Orchard: Kimchi Dining

• Orchard: Song Gye Ok Chicken BBQ

• Telok Ayer: Song Gye Ok Chicken BBQ

• Orchid Country Club: GOCHU Korean Dining 

Overall Job Objectives:

We are looking for highly motivated and passionate individuals to provide warm, friendly, and exceptional food & beverage service within INITIA Group’s F&B brands. He/She will assist the Outlet In-Charge in driving outlet sales while delivering excellent service to ensure customer satisfaction.

ADVANCEMENT CRITERIA: Promotion to experienced server level based on schedule regularity, demonstrated menu expertise, storytelling skills, and customer engagement quality. 

Core Responsibilities:

1. BUZZER & TABLE MANAGEMENT
- Clear and reset tables efficiently between seatings
- Maintain table cleanliness and proper setup throughout service
- Respond promptly to buzzer calls from customers 

2. FOOD RUNNER DUTIES
- Deliver food from kitchen to tables accurately and promptly
- Learn menu items, ingredients, and preparation methods during food running
- Ensure proper presentation and temperature of all dishes 

3. MENU MASTERY & TRAINING
- Study menu thoroughly including dish names, ingredients, and Korean terminology
- Participate in mandatory training sessions and tastings
- Pass role-play tests demonstrating menu knowledge and storytelling ability 

4. PROGRESSION TO SERVER DUTIES 

- Upon passing tests, begin taking customer orders
- Serve food and beverages with proper technique 

- Engage with customers to enhance dining experience 

5. CUSTOMER ENGAGEMENT
- Provide friendly, attentive service
- Answer basic menu questions accurately
- Support senior servers and team members 

Job Specifications:

• Previous restaurant experience is an advantage

• Good communication skills.

• Able to work independently and demonstrate positive professionalism.

• Friendly, outgoing, and committed to delivering outstanding customer service.

• Flexibility to work shifts, including weekends and public holidays, based on business needs.

• Candidates must be legally eligible to work in Singapore. Work visa sponsorship is not provided for this role.

Key Deliverables:

• Efficient table turnover by clearing, resetting, and maintaining table cleanliness, while responding promptly to customer buzzer calls.

• Accurate and timely delivery of food from the kitchen to guests, ensuring correct orders, proper presentation, and appropriate temperature of all dishes.

• Demonstrated menu mastery through successful completion of training sessions, tastings, and role-play assessments covering dish knowledge and storytelling.

• Smooth transition to server duties by confidently taking orders, serving food and beverages with proper technique, and assisting in enhancing the overall dining experience.

• Consistent delivery of friendly and attentive customer service, accurately answering basic menu inquiries and actively supporting senior servers and team members.

Benefits of the role:

• Monthly variable sales incentive

• Annual completion bonus of 1 month salary (For Full-time if applicable)

• Medical coverage (For Full-time if applicable)

• Group discount (Dining & Salon)

• T⁠raining & Career Growth

• Opportunity to cross-rain at Overseas Outlets

INITIA GROUP is the biggest brand concept leader in Singapore & Malaysia. We have been in the beauty and F&B industry for years and are now in Art, Retail, and Photo Studios. We are a fast-paced growing company, bringing all unique and on-trend concepts. We have a lot of expansions going on and we need additional talents in our growing family.

.

If you’re excited about our company’s vision for this position and want to start the path of becoming one of our future leaders, we’d like to hear from you.

.

You may visit our website to learn more about us: https://initia.sg/

.

APPLY NOW! 

Job Title: Front of House Staff (Entry Level)!

Weekday Rate: $13/hour
Weekend Rate: $15/hour
Department: Front-of-House - F&B Department

Work Schedule: Minimum 3 days/week, 20 hours/week minimum, up to 35 hours/week

Location:

• Sentosa (Gold) - DRIM Korean Steakhouse

• Orchard: DRIM Korean Steakhouse

• Orchard: MODU SamGyeTang

• Orchard: Kimchi Dining

• Orchard: Song Gye Ok Chicken BBQ

• Telok Ayer: Song Gye Ok Chicken BBQ

• Orchid Country Club: GOCHU Korean Dining 

Overall Job Objectives:

We are looking for highly motivated and passionate individuals to provide warm, friendly, and exceptional food & beverage service within INITIA Group’s F&B brands. He/She will assist the Outlet In-Charge in driving outlet sales while delivering excellent service to ensure customer satisfaction.

ADVANCEMENT CRITERIA: Promotion to experienced server level based on schedule regularity, demonstrated menu expertise, storytelling skills, and customer engagement quality. 

Core Responsibilities:

1. BUZZER & TABLE MANAGEMENT
- Clear and reset tables efficiently between seatings
- Maintain table cleanliness and proper setup throughout service
- Respond promptly to buzzer calls from customers 

2. FOOD RUNNER DUTIES
- Deliver food from kitchen to tables accurately and promptly
- Learn menu items, ingredients, and preparation methods during food running
- Ensure proper presentation and temperature of all dishes 

3. MENU MASTERY & TRAINING
- Study menu thoroughly including dish names, ingredients, and Korean terminology
- Participate in mandatory training sessions and tastings
- Pass role-play tests demonstrating menu knowledge and storytelling ability 

4. PROGRESSION TO SERVER DUTIES 

- Upon passing tests, begin taking customer orders
- Serve food and beverages with proper technique 

- Engage with customers to enhance dining experience 

5. CUSTOMER ENGAGEMENT
- Provide friendly, attentive service
- Answer basic menu questions accurately
- Support senior servers and team members 

Job Specifications:

• Previous restaurant experience is an advantage

• Good communication skills.

• Able to work independently and demonstrate positive professionalism.

• Friendly, outgoing, and committed to delivering outstanding customer service.

• Flexibility to work shifts, including weekends and public holidays, based on business needs.

• Candidates must be legally eligible to work in Singapore. Work visa sponsorship is not provided for this role.

Key Deliverables:

• Efficient table turnover by clearing, resetting, and maintaining table cleanliness, while responding promptly to customer buzzer calls.

• Accurate and timely delivery of food from the kitchen to guests, ensuring correct orders, proper presentation, and appropriate temperature of all dishes.

• Demonstrated menu mastery through successful completion of training sessions, tastings, and role-play assessments covering dish knowledge and storytelling.

• Smooth transition to server duties by confidently taking orders, serving food and beverages with proper technique, and assisting in enhancing the overall dining experience.

• Consistent delivery of friendly and attentive customer service, accurately answering basic menu inquiries and actively supporting senior servers and team members.

Benefits of the role:

• Monthly variable sales incentive

• Annual completion bonus of 1 month salary (For Full-time if applicable)

• Medical coverage (For Full-time if applicable)

• Group discount (Dining & Salon)

• T⁠raining & Career Growth

• Opportunity to cross-rain at Overseas Outlets

INITIA GROUP is the biggest brand concept leader in Singapore & Malaysia. We have been in the beauty and F&B industry for years and are now in Art, Retail, and Photo Studios. We are a fast-paced growing company, bringing all unique and on-trend concepts. We have a lot of expansions going on and we need additional talents in our growing family.

.

If you’re excited about our company’s vision for this position and want to start the path of becoming one of our future leaders, we’d like to hear from you.

.

You may visit our website to learn more about us: https://initia.sg/

.

APPLY NOW! 

Duration: 1 year

Location: Novena

Working Hours: Monday - Thursday 8:30am to 6pm; Friday 8:30am to 5:30pm

Responsibilities:

• Coordinate and support the implementation of programmes, workshops, training sessions, and events.

• Liaise with participants, partners, vendors, and stakeholders to ensure successful programme execution.

• Manage programme registrations, attendance tracking, and participant communications.

• Prepare programme-related materials, reports, presentations, and documentation.

• Monitor programme schedules and ensure timely completion of deliverables.

• Respond to enquiries and provide administrative support to programme participants and stakeholders.

• Maintain accurate records, databases, and programme information.

Requirements:

• Diploma or Degree in any discipline.

• Prior experience in programme coordination, administration, customer service, events, or stakeholder engagement is preferred.

• Strong organizational and time management skills.

• Good interpersonal and communication skills.

• Proficient in Microsoft Office applications, especially Excel, Word, and PowerPoint.

To apply, simply click "APPLY" and submit your curriculum vitae (CV) through GO, the official PERSOL job application platform.

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.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Role Overview

We are seeking a Data and Artificial Intelligence Scientist to design, develop, and deploy reusable, scalable, and cost-effective cloud-native data and AI solutions.

The successful candidate will be part of an AI development team responsible for exploring, evaluating, and developing applications using advanced AI technologies. This role involves collaborating with cross-functional stakeholders and industry partners to address business and industry challenges through data-driven and AI-enabled solutions.

Key Responsibilities

• Collaborate with product owners, engineering teams, and industry partners throughout the product lifecycle, including concept development, solution design, prototyping, testing, data preparation, deployment, operationalisation, enhancement, and end-of-life management.

• Assess the maturity, suitability, and applicability of emerging AI technologies, research developments, and industry trends.

• Design, develop, and deploy software components using microservices-based architectures.

• Participate in secure software development practices, agile delivery processes, and technical documentation throughout the software development lifecycle.

• Design, implement, validate, and optimise algorithms while considering functional and non-functional requirements such as transparency, fairness, scalability, security, maintainability, integration complexity, and operational efficiency.

• Contribute to the development and deployment of AI-enabled applications and data-driven products.

Requirements

• Degree in Engineering, Computer Engineering, Computer Science, Mathematics, Statistics, or a related discipline.

• Strong technical knowledge and practical experience in Artificial Intelligence and Machine Learning.

• Good understanding of current AI research, technologies, and deployment considerations in production environments.

• Strong programming experience in Python and/or C++.

• Experience with data processing, data visualisation, machine learning, and reporting libraries.

• Hands-on experience with one or more deep learning frameworks such as TensorFlow or PyTorch.

• Experience working with Large Language Models (LLMs), prompt engineering techniques, and AI-assisted application development.

• Hands-on experience developing and deploying AI Agents, Retrieval-Augmented Generation (RAG) solutions, and vector and/or graph database technologies.

• Strong understanding of 3D geometry, vector mathematics, and coordinate systems.

• Experience with algorithms related to mesh manipulation, Boolean operations, and geometric transformations.

• Proficiency in relevant 3D modelling, CAD software, or associated development libraries such as Blender, Revit, OpenGL, CGAL, or Three.js.

• Ability to work effectively within cross-functional teams and collaborate with internal and external stakeholders.

• Strong interpersonal, communication, presentation, and stakeholder engagement skills.

Additional Information

• Experience level and appointment will be commensurate with qualifications, skills, and relevant experience.

• Candidates with experience in AI product development, cloud-native applications, and production deployment environments will be viewed favorably.

• Strong Learning & Career Growth Opportunities
• Opportunity to work with large-scale/real-time data

About Our Client

The hiring organisation is a well-established company within the technology and telecoms sector, known for its innovative solutions and commitment to excellence. They operate on a global scale and are dedicated to fostering a collaborative and forward-thinking environment.

Job Description

• Develop and maintain scalable and efficient data pipelines and workflows.
• Collaborate with cross-functional teams to identify and address data requirements.
• Optimise data architecture to ensure performance and reliability of systems.
• Monitor and troubleshoot data infrastructure to ensure smooth operations.
• Implement data security and governance best practices.
• Support data integration from various sources to drive business insights.
• Create and maintain technical documentation for data solutions.
• Stay updated on emerging trends and technologies in the technology industry.

The Successful Applicant

A successful Data Engineer should have:

• A strong educational background in a relevant technical field.
• Proficiency in data engineering tools and programming languages.
• Experience with database management systems and data modelling.
• Knowledge of cloud-based data platforms and solutions.
• Excellent problem-solving skills and attention to detail.
• The ability to work effectively in a team-oriented environment.

What's on Offer

• Opportunity to work on meaningful projects in the technology industry.
• Exposure to a collaborative and innovative work culture.
• Temporary role offering flexibility and career development.

If you are passionate about data engineering and eager to contribute to a leading organisation, we encourage you to apply today

Contact

Meenal Sharma (Lic No: R21103442/ EA no: 18C9065)

Quote job ref

JN-062026-7039991

Phone number

+65 6643 9741

Michael Page International Pte Ltd | Registration No. 199804751N   

DBiz is looking for a Data and Artificial Intelligence Scientist to join our team in designing and developing reusable, scalable, and cost-effective cloud-native data and AI products. You will also be actively involved in various consulting project deliveries, supporting clients with data and AI solutions tailored to their business needs. The role offers opportunities to participate in multiple projects with industry technology partners, developing data- and AI-driven products and services that have a significant positive impact.

You will also be actively involved in various consulting project deliveries, supporting clients with data and AI solutions tailored to their business needs

Primary Responsibilities

• Collaborate with product owners, engineering teams, and industry partners throughout the product development lifecycle, including concept, design, prototyping, acceptance testing, data curation, delivery, operationalisation, industry proliferation, and product end-of-life
• Conduct technical assessments on the maturity, viability, and suitability of AI research, technologies, and trends relevant to the industry
• Develop and deploy software components based on microservices architecture
• Participate in agile, secure software development processes and best practices, including documentation of user requirements and software code during the software development lifecycle
• Propose, implement, and validate algorithms, ensuring functional and non-functional requirements such as transparency, fairness, scalability, security, integration complexity, and operational costs are met

Key Requirements

• Bachelor’s degree in engineering, computer engineering, computer science, mathematics, statistics, or equivalent
• At least 1.5 years of working experience in a relevant field
• Strong technical knowledge in AI.
• Good understanding of the latest research and technologies in AI for production deployment
• Strong coding experience in programming languages such as Python and/or C++.
• Experience working with libraries for data manipulation, visualization, machine learning, and reporting
• Hands-on experience with one or more deep learning frameworks (e.g., TensorFlow, Torch)
• Experience with prompt engineering for models such as OpenAI and Clau
• Hands-on experience developing and deploying AI agents, Retrieval-Augmented Generation (RAG), and vector/graph databases
• Experience with algorithms for mesh manipulation, Boolean operations, and geometric transformation
• Proficiency in relevant 3D modeling or CAD software (e.g., Blender, Rivet) and/or programming libraries (e.g., OpenGL, CGAL, Three.js)
• Team player with the ability to work in a cross-functional team and excellent interpersonal skills
• Strong verbal and written communication skills, as well as strong presentation and engagement abilities