Summary

With a vision to disrupt the low-cost carrier category, Scoot started in 2012 armed with just three Boeing 777-200 aircraft. Today, Scoot is a proud family of over 50 aircrafts.

From the industry-leading Airbus A320 family to the wide-body Boeing 787 Dreamliners, we constantly seek new and innovative ways to improve your travel experience with us. With better technologies on our planes, you can look forward to a more comfortable travel experience thanks to quieter engines and reduced turbulence. We’ll be welcoming the Embraer E190-E2 to the family in 2024 to better service the region!

Working with the Captain, your focus is to deliver a safe, comfortable and on-time performance. You are also part of the Scoot team to deliver the Scootitude experience to all passengers.

Job Description

First Officer Requirements

• Total Fixed Wings Flight Time of more than 1500 Hours on aeroplanes with MTMA of 5700kg or more.

License Requirements

• A Civil Aviation Authority of Singapore issued ICAO CPL(A)/ ATPL(A) (foreign ATPL will be required to undergo licence conversion which requires an instrument rating and a proficiency check that has a minimum of 6 months' validity.)
• Demonstrate the ability to speak and understand English with a minimum of ICAO level 4.
• Satisfy all vaccination requirements as required by CAAS.

Desirable Traits

• A keen learner with a strong passion for aviation
• A team player who demonstrates composure, confidence and maturity
• A sense of humour to brighten up the day of everyone around you
• Definitely the 'Scootitude' DNA in you!

Training Co-Payment & Training Bond

• Where applicable, successful candidates will be trained to acquire an Aircraft Type Rating for the assigned fleet.
• Successful candidates who are provided with type rating training will be subjected to a co-payment of the training cost and will be required to enter a training bond.

What’s Next

• Shortlisted applicants will be invited to complete a series of online aptitude tests.
• Shortlisted applicants after online assessment stage will be invited to attend an Assessment Centre in Singapore. The Assessment Centre will consist of a group stage and an individual interview.
• Successful candidates will need to attend a Simulator Assessment and MMPI Assessment.

Join Our Dynamic Data Science and Research Team

Are you passionate about transforming healthcare with cutting-edge AI and research methodologies? Our Data Science and Health Services Research (HSR) team is at the forefront of care transformation, working collaboratively with clinical leads to enhance patient outcomes and community well-being.

Why Join Us?

1. Purpose-Driven Work: Be part of impactful projects that integrate AI tools and advanced analytics to revolutionize care delivery.

2. Team Culture and Collaboration: Thrive in a team that values teamwork, mutual trust, and dynamic collaboration, supported by a strong focus on well-being.

3. Commitment to Learning: Benefit from continuous learning opportunities, mentorship, and capacity-building programs to advance your career.

4. Vision for the Future: Join a team that is committed to:

• Driving healthcare innovation through research and evidence-based practice.
• Expanding internal capabilities and expertise.
• Building and nurturing relationships across diverse disciplines.

Key Responsibilities:

• Design and develop integration pipelines for clinical data, chatbot data, and patient-reported outcomes.
• Develop and refine AWS chatbot functionality and maintenance.
• Ability to resolve the technical issues independently or escalate to next level for support
• Collaborate with clinical leads to identify gaps, and areas for improvement in AI tool developments
• Lead AI project design, including system and study design, as well as AI project evaluations and ROI
• Present findings, updates, and recommendations to senior management and committees
• Write-up coding and SOP independently and collaborate with team members to validate and improve the technical solution

What We’re Looking For:

• Qualifications: PhD/master/degree in Computer Science, Engineering, or a related field.
• Experience: 2–3 years of relevant work experience in AI development or data engineering.
• Expertise in AWS or RAG (Retrieval-Augmented Generation) tools.
• Proficient in SQL and familiar with the use SQL Server.
• Familiar with the use, design, and implementation of RESTful APIs.
• Familiar with Python libraries such as Django, Dash, Plotly and with building web-based data visualisation applications.
• Familiar with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn, Plotly and other machine learning libraries.
• Familiar with the use of Docker, Kubernetes and with performing container deployments.
• Proficiency in system integration and clinical AI design.
• Strong project management and interpersonal skills.
• A self-driven attitude with a passion for solving complex challenges and advancing healthcare innovation.

Join Our Dynamic Data Science and Research Team

Are you passionate about transforming healthcare with cutting-edge AI and research methodologies? Our Data Science and Health Services Research (HSR) team is at the forefront of care transformation, working collaboratively with clinical leads to enhance patient outcomes and community well-being.

Why Join Us?

1. Purpose-Driven Work: Be part of impactful projects that integrate AI tools and advanced analytics to revolutionize care delivery.

2. Team Culture and Collaboration: Thrive in a team that values teamwork, mutual trust, and dynamic collaboration, supported by a strong focus on well-being.

3. Commitment to Learning: Benefit from continuous learning opportunities, mentorship, and capacity-building programs to advance your career.

4. Vision for the Future: Join a team that is committed to:

• Driving healthcare innovation through research and evidence-based practice.
• Expanding internal capabilities and expertise.
• Building and nurturing relationships across diverse disciplines.

Key Responsibilities:

• Support the development of AI tools within the Electronic Medical Records (EMR), including validating feasibility in clinical settings.
• Collaborate with clinical leads to evaluate programs, identifying predictive factors and areas for improvement.
• Design and lead program evaluations, including cost-effectiveness analysis and study design.
• Conduct literature reviews to support evidence-based practices.
• Perform data analysis using tools such as Python, R, Tableau, AWS and other statistical software.
• Prepare and present comprehensive reports and insights to management and stakeholders.
• Work in multidisciplinary teams to drive improvements in clinical outcomes and patient satisfaction.

What We’re Looking For:

• Qualifications: A degree in Statistics, Business Analytics, Health Economics, Public Health, or a related field.
• Experience: 2–3 years in a relevant field with a strong grasp of quantitative and qualitative methods.
• Proficiency in analytics tools like Python, R, Tableau, AWS and other statistical software.
• Familiar with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn, Plotly.
• Excellent project management and organizational abilities.
• Strong communication skills and a proactive mindset.
• Passion for problem-solving and intellectual curiosity.
• Ability to adapt to new challenges and embrace innovation.

Responsibilities

• Work with business analysts and internal stakeholders to identify business problems and

opportunities propose analytics solutions, as well as data and technology requirements, and

formalize them into a project Analytics solutions which include, but are not limited to report

automation, advanced analytics, and AI engines

• Work with data engineers to plan, identify, and integrate data from multiple source systems to

enterprise data platform for analytics purposes

• Perform data exploration, preprocess, and analyse the data (both structured and unstructured);

develop and deploy machine learning/deep learning models

• Create dashboards to communicate and present key findings to stakeholders, and manage UAT

• Work with the team to run and prioritise projects according to objectives and business impact

• Design and build Generative AI applications like GPT-enabled chatbots to innovate and drive

impactful solutions in the company

• Explore new methodologies for increasing the efficiency and effectiveness of Generative AI

applications

• Continuously evaluate and enhance the performance of Generative AI models through rigorous

testing and experimentation

Requirements:

• Bachelor's or master’s degree in Data Science, Statistics, Computer Science, Computer Engineering

or equivalent disciplines that focused on extensive use of data for analysis

• Strong programming experience using python or spark, with solid understanding of data science

concepts.

• Practical knowledge in statistical and machine learning techniques including Regression, Random

Forest, Boosting, Trees, Text Mining, Network Analysis, etc

• Practical knowledge in deep learning techniques including computer version, NLP, etc

• Experience in data visualization software such as Power BI or Tableau

• Good collaboration and communication skills to work effectively across teams and partner with

business stakeholders

• Beneficial to possess knowledge or practical experience in generative AI or developing LLM

applications using the Microsoft Azure stack or third-party packages such as LangChain.

To Apply:

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret that only shortlisted applicants would be notified.

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

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No : R1654858 | Soo Sheng Hui

Responsibilities

• Build robust and scalable Enterprise Data Platform for batch/real-time data processing and

machine learning model

• Develop data processing pipelines for ingestion, modelling, analysis mining and reporting with

SQL, Spark Python, and etc.

• Solve technical challenges posted to the Enterprise Data Platform from huge volume and velocity

and business compliexity

• Collaborate with CapitaLand's infrastructure, Business Analyst and Data Science team for data

engineering support and development/deployment of machine learning models

• Support data management projects when needed and perform additional data related tasks

• Any other ad-hoc duties as assigned by supervisor

Requirements

• Bachelor's degree in Computer science or related program

• Experience in data warehouse, data application or business intelligence product development

• Solid Programming skills in Java, Scala, Python, Hadoop and Spark.

• Hands-on experience in dashboard development with PowerBI

• Good to have knowledge on Microsoft stack of analytics products (SQL Server, Azure Data Factory,

Azure Databricks, Azure Data Warehouse, Power BI)

• Good collaboration and communication skills to work effectively across teams and partner with

business stakeholders

To Apply:

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret that only shortlisted applicants would be notified.

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

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No : R1654858 | Soo Sheng Hui

We are looking for data processors to process, verify and organize surveyed data for reporting purposes. Fresh graduates are welcome to apply as on the job training will be provided.

Job Scope

• To process, verify and organize surveyed data
  • To identify errors in data
  • To perform data analysis
  • To prepare survey drawings using AutoCAD software
  • To generate reports for submission to Authorities
  • Other related duties as assigned

Requirements

• Fresh Diploma or Degree Graduates
• A good team player
• Proficient in Microsoft Excel
• Good Results and Strong Interest in Mathematics
• Meticulous / Pay attention to details
• Desk-bound job
• Fast learner
• Start immediate or within short notice

Work Location

Singapore

Ubi – Near Tai Seng MRT (Circle Line)

Working Hours

8.30am to 5.45pm (Monday to Friday)

Remarks

• Pleasant and Dynamic Work Environment
• Annual & Medical Leave Benefit
• Insurance Coverage including Personal Accident, Hospital & Surgical
• Good Career Progression
• Competitive Salary Package
• Annual Increment and Bonuses

Responsibility

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

Design and build the DWH database models (star schema).

Manage the semantic model in Oracle Analytics Cloud to provide a unified view of our organization's data.

Manage application roles and access rights for end users including row level security filters, to protect sensitive data.

Work with ETL specialists, IT business Consulting as well as external vendors to ensure data ingestion and integration into the database model

Collaborate with Business Controlling and business counterparts on new reporting requirements.

Ensure data quality, security and compliance with industry standards and internal guidelines.

Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.

Skills

Looking for a Data Engineer more focused on Database modelling, Currently in Oracle environment and going forward with GCP stack.

Proficiency in SQL and data warehousing

Strong understanding of data modelling techniques and hands on experience building database models (star schema).

Expertise with ETL (extract, transform, load) processes. Familiarity with BI tool integration such as Tableau or Looker

Strong analytical thinking, problem-solving capability, and ability to translate business needs into technical specifications.

Customer-oriented with good communication and interpersonal skills.

Responsibilities

• Work with business analysts and internal stakeholders to identify business problems and

opportunities propose analytics solutions, as well as data and technology requirements, and

formalize them into a project Analytics solutions which include, but are not limited to report

automation, advanced analytics, and AI engines

• Work with data engineers to plan, identify, and integrate data from multiple source systems to

enterprise data platform for analytics purposes

• Perform data exploration, preprocess, and analyse the data (both structured and unstructured);

develop and deploy machine learning/deep learning models

• Create dashboards to communicate and present key findings to stakeholders, and manage UAT

• Work with the team to run and prioritise projects according to objectives and business impact

• Design and build Generative AI applications like GPT-enabled chatbots to innovate and drive

impactful solutions in the company

• Explore new methodologies for increasing the efficiency and effectiveness of Generative AI

applications

• Continuously evaluate and enhance the performance of Generative AI models through rigorous

testing and experimentation

Requirements:

• Bachelor's or master’s degree in Data Science, Statistics, Computer Science, Computer Engineering

or equivalent disciplines that focused on extensive use of data for analysis

• Strong programming experience using python or spark, with solid understanding of data science

concepts.

• Practical knowledge in statistical and machine learning techniques including Regression, Random

Forest, Boosting, Trees, Text Mining, Network Analysis, etc

• Practical knowledge in deep learning techniques including computer version, NLP, etc

• Experience in data visualization software such as Power BI or Tableau

• Good collaboration and communication skills to work effectively across teams and partner with

business stakeholders

• Beneficial to possess knowledge or practical experience in generative AI or developing LLM

applications using the Microsoft Azure stack or third-party packages such as LangChain.

To Apply:

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret that only shortlisted applicants would be notified.

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

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No : R1654858 | Soo Sheng Hui

Job description:

• Client currently has several ongoing projects on the Azure platform, including Finance, Commercials, and Operations. This role requires a support engineer primarily focused on existing projects and understanding the team's dynamics.
• The role requires someone capable of directly addressing system issues and resolving them.
• Users report issues, such as error messages and screenshots etc. The data engineer needs to log into the production system, trace processes end-to-end, identify the root cause, and resolve the problem.
• The engineer is expected to verify the accuracy of data and processes, ensuring correct numbers and outputs.)Operations

Requirements:

• At least (2) years of hands-on experience as Azure Data Engineer using:

- Azure Data Factory - Azure Synapse Analytics / Data Warehouse Preferably with relevant certifications from Microsoft including Azure Data

• Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate
• At least (2) years of hands-on experience in

- Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing

- Implementing Data Quality validation

• At least (2) years of hands-on experience in

- Providing technical support (80%) & enhancements (20%) for existing applications in Azure

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

We regret to inform that only shortlisted candidates would be notified.

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

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