We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Recruitment Consultant who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Attractive Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs.

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements.

• Coordinate interviews between candidates and clients

• Developing connections and new business and relationship management sources with existing accounts.

• Networking and building relationships with business partners and jobseekers

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gz3U9Kvn

• Strong support from management to invest in data
• Help boost the users' trust in utilizing data as the foundation for their investment processes and decision-making.

About the company
Our Client is an established company within the financial services industry. With rapid expansion and technology investment plan, they are now looking for an Senior Data Engineer / Data Engineering to join their team. Your work will help boost the users' trust in utilizing data as the foundation for their investment processes and decision-making.

About the job

Your role involves:

• Enhancing data integrity and establishing protocols for identifying anomalies within datasets
• Delving into data sets to uncover insights, pinpointing features and discrepancies, and effectively communicating findings to stakeholders.
• Establishing and refining monitoring practices, frameworks, tools, and libraries, and advocating for their adoption across different teams within the organization.
• Streamlining operations through automation, driving enhancements to our systems by advocating for changes that bolster resilience and dependability.
• Develop and maintain ETL processes for ingesting data from various sources
• Stay updated on emerging trends and technologies in data engineering and recommend improvements to existing systems

Skills and experience required

As a successful applicant, you will be familiar with programming languages such as Python, Java, or Scala. Proficiency in utilizing diverse data storage and manipulation tools, including SQL, Elasticsearch or Snowflake. Familiarity with containerization and orchestration technologies like Docker, Kubernetes and etc. Exposure to ETL is required for this role.

Candidates from financial services industry background will be highly preferred.

Whats on offer

This is an excellent opportunity to join an established company with high investment in data engineering. You will get the opportunity to work in a high performing team with exposure to latest technology.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gz3U9Kvn (EA: 94C3609/ R1219669)

• To support research and evaluation projects on offender rehabilitation by:
• a) Collecting and analysing data
• b) Developing surveys and conducting interviews
• Presenting findings and writing reports
• Other duties such as supporting the preparation of the PCRS Annual Report and preparing statistics on client profiles, may be assigned where necessary
• Working Location: Caldecott
• 12 months contract
• Working Hours: 8.30am-6pm (Monday-Thursday), 8.30am-5.30pm (Friday)
• Salary: $2,800

Job Requirements:

• Good analytical skills
• Proficiency in Excel and SPSS, is preferred
• Experience with data analysis and/or conducting qualitative analysis will be advantageous

Thank you for your interest in the advertised position. We kindly request that all applications be submitted via our PERSOLKELLY GO App.

To access our PERSOLKELLY GO Jobs App, please click on the following link:

https://go.persolkelly.com/job/apply/3455

EA License No: 01C4394

EA Personnel ID: R1655869

EA Personnel Name: Chua Le Teng, Sherry

**We regret that only shortlisted candidates will be notified**

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its Singapore and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services, complying with Government’s COVID-19 health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries.

We are a centrally located boutique recruitment firm experiencing strong growth. As the company scales, we are looking to bring on a Career Advisor who can help support us through the next phase of the growth and development roadmap.

Job Highlights:

• Junior/ Entry (No experience required - Training Provided)

• Senior level positions from various sectors are available

• Convenient location (5 minute to Tanjong Pagar MRT)

• Abundant personal growth and progression opportunities

• Start-up environment, welcoming workplace culture

• Stable Basic Salary + Uncapped, Attractive Sales Incentives

Job Duties:

• An integral role as a recruiter in fulfilling clients' staffing needs

• Handle full spectrum of recruitment and talent acquisition matters

• Conduct Interviews/phone screening and select potential candidates to meet clients' requirements

• Coordinate interviews between candidates and clients

• Develop connections and new business and relationship management sources with existing accounts

• Engage in networking and building relationships with business partners and jobseekers

• Ensure that the company's objectives and sales targets are met

• Other ad-hoc duties apply

Description / Requirements:

• Minimum Diploma / Degree

• Entry Level to Experienced consultants welcome (Multiple positions)

• Strong passion for recruitment and people-oriented

• Good communication and interpersonal skills

• Comfortable working in a fast-paced environment

• CEI certified would be an advantage

• Self-motivated, proactive personality, willing to work and achieve goals in a team.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only the shortlisted candidates will be notified.

Email Address: [email protected]

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.

About ACIA

Aon’s Centers for Innovation and Analytics in Dublin and Singapore are at the heart of delivering Aon’s Data & Analytic Services team’s mission to:

• Accelerate the rate of innovation through digital solutions to help better respond to clients’ evolving needs
• Provide foundational data and analytics capabilities in one place for 50,000 Aon colleagues and our global clients who use our risk and people solutions

Established in 2012, there are over 200 colleagues in Singapore’s Centre today including actuaries, software developers, data scientists, financial analysts and accountants. We are expanding rapidly and looking for dedicated individuals who can leverage emerging technologies and collaborate across Aon’s solution lines to help clients and colleagues make better, data-driven decisions today and tomorrow.

What the day will look like

• Assist in the development and enhancement of Data & Analytics related solutions to support the firm's global asset engine, including asset allocation and investment strategy, quantitative investment manager screens and proprietary operational due diligence model
• Conducting quantitative analysis using both internal and external databases
• Source and visualize data across multiple sources
• Building and maintaining strong collaborative relationships with the firm’s global team of consultants, researchers and other stakeholders
• Participating in the production of thought leadership (white papers and associated implementation strategy)
• Other duties and responsibilities assigned relating to data & analytics

How this opportunity is different

ACIA’s Wealth Solutions team is currently looking for an analyst to assist in serving the needs of the investment practice, in every area of interest to institutional investors. We have partnered with our investment consulting colleagues around and seek to enhance investment solutions for clients globally through portfolio strategy and implementation advice. Our innovations impact $4.0 trillion of assets under advisement and help drive global consistency, operational efficiencies and sales. We focus on global high impact solutions often involving the creation of proprietary models and extensive use of data & analytics to solve business challenges. This role provides great exposure to the business, and the opportunity to take part in product development/implementation, training and support.

Skills and experience that will lead to success

• 1 - 3 years of experience in Data & Analytics or similar role
• Major in Quantitative Finance, Business Analytics, Business or related fields
• Interest in both Investments and Data & Analytics
• CFA designation or progress towards CFA designation is desirable
• Strong Excel skills; programming experience desirable
• Working knowledge in data visualization tools such as PowerBI or equivalent
• Proficient in the use of Word and PowerPoint
• Good interpersonal and communication skills
• Problem solving and analytical skills
• Highly organised with the ability to multi-task and deliver within stipulated timelines
• Able to quickly and competently build relationships
• Continuous improvement focus

KGA is a leading rhythmic gymnastics academy dedicated to teaching gymnastics principles in a fun and structured way. We offer recreational and competitive gymnastics for kids aged 4 and above.

We want to hear from you if you are a former gymnast or ballet dancer and are interested in working with children to develop the foundations of rhythmic gymnastics and preparing the next generation of superstars for competition. KGA provides all training required through hands on learning and shadowing of our experienced coaches to allow you to start your own classes with confidence. You will get to work with and learn from industry leading professionals and additional educational support for certifications and advancement with the governing bodies is provided.

Job Requirements:

• Love being around kids
• Positive attitude
• Have some gymnastics skills
• Willing to learn
• Self-motivated, dynamic and energetic.
• Good communication and interpersonal skills to interact with Parents and Students.
• Able to work well in a team

Working Hours:

• Part Timers: Depends on your Availability
• Full Timers: The average number of hours to be worked will be 36 per week. 6 working days per week. More information will be given if you are shortlisted.

Remuneration based on experience and background. Come say hello and find out more about how we can work together !

To support research and evaluation projects on offender rehabilitation by:
a) Collecting and analysing data

b) Developing surveys and conducting interviews

c) Presenting findings and writing reports

Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements:

• Singaporean
• Degree holder
• Good analytical skills
• Proficiency in Excel and SPSS, is preferred
• Experience with data analysis and/or conducting qualitative analysis will be advantageous

Other information:

• Salary: $2800
• Working days: Mon - Fri (office hours)
• Contract: 12 months
• Location: Redhill

**We regret that only shortlisted candidates will be notified**

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its Singapore and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services, complying with Government’s COVID-19 health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries. Juven Lee Hui Teng (EAP No. R23116281) EA Licence No. 01C4394

Job Responsibilities:

· To execute activities for the recruitment of special population groups

· To develop recruitment strategies to recruit specific patient groups in line with company priorities and objectives.

· To work with Recruitment Team Leader to coordinate publicity and recruitment exercise focusing on special population group.

· To initiate recruitment drives collaborating with external parties to expand the pool of special population.

· To provide inputs into the development of study-specific patient recruitment plan.

· To reach out and work closely with external collaborators to drive patient recruitment initiatives.

Requirements:

• Diploma or Degree in Business / Marketing / Arts / Sciences
• No experience required as on-job-training will be provided
• High energy, team player and people oriented

Jessie Hoe Huey Miin

CEI R1103861

EA: 99C4599

· Recognized Diploma in Electrical / Electronic / Computer Engineering / InformationSystems

· At least 3 years’ experience in Data Center Operations

· Basic knowledge of Windows Server 2003/2008/2012 operating system

· Basic knowledge of Unix and Linux operating system

· Basic knowledge of virtualization technologies (i.e. Vmware ESXi, Microsoft HyperV)

· Basic knowledge of network infrastructure

· Basic knowledge of ITSM tools for incident management and service request management

· Possess excellent oral and written communication skills

Job Description:

• Conduct thorough analysis of structured and unstructured data sets to uncover trends, patterns, and valuable insights that inform business decisions and strategies.
• Create user-friendly, visually engaging dashboards, reports, and presentations to convey complex data analyses to stakeholders, facilitating data-driven decision-making at all organizational levels.
• Plan, execute, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.
• Enforce rigorous data validation and cleansing procedures to guarantee the accuracy and dependability of data used for analysis and reporting.
• Collaborate with stakeholders across different departments to comprehend their data needs and deliver insights aligned with their business objectives.
• Stay updated on industry trends and best practices in data analysis and engineering. Propose and implement process enhancements to improve data quality, efficiency, and overall performance.
• Establish, uphold, and oversee data security and privacy measures on the data platform.
• Work closely with other teams to ensure the successful execution of projects and initiatives.
• Maintain and provide day-to-day operational assistance on the data platform, including:
• Monitoring data pipelines, databases and analytical processes to ensure uninterrupted operation.
• Promptly identify and resolve data-related issues, performance bottlenecks, and data quality concerns.

Requirements:

• Bachelor's degree in Computer Science, Data Science, Statistics, or a closely related field.
• Minimum of 5 years of practical experience in data platforms, data analytics, or related projects.
• Demonstrate a proven track record as a Data Analyst, showcasing the ability to translate intricate data sets into actionable insights.
• Exhibit strong expertise in data visualization tools like Tableau, Power BI, or similar, enabling the creation of compelling data visualizations and reports.
• Display proficient programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Prior experience as a Data Engineer, with a demonstrated capability to design and implement data models, ETL processes, and data integration solutions.
• Be acquainted with cloud-based data platforms like Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent, as well as data storage technologies such as SQL and NoSQL databases.
• Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud (Dataphin) is considered a plus.
• Possess excellent problem-solving skills, particularly in dealing with large and complex data sets.
• Maintain a strong commitment to detail, ensuring data accuracy and reliability in all analyses.
• Demonstrate effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Prove the ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Hold certifications in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks, or their equivalents.

Applicants with relevant experience may be considered for senior roles

Please send your detailed resume in MS Word format including the following details to : [email protected]

1. Recent photograph

2. Personal particulars

3. Education Level

4. Each employment background

5. Working experience

6. Reason for leaving each employment

7. Last drawn salary

8. Expected salary

Looking to start a career with Banks doing sales? But not sure if you are suitable or is this something that you are looking at?

If you are willing to learn & able to work on weekends/ Retail Branch Hours.YOU are who we are looking for! Call Us Now!

Starting Basic Salary S$3,500 + Sales Allowances + Quarterly Commissions (Monthly Gross income of S$6,000 & above)Degree with/without experience/ Diploma with 1- 2 years working experience

Training will be provided with Good Career Progression

RESPONSIBILITIES:

• Provide financial advice to clients through offering wealth management solutions, such as insurance, structured deposits, loans and unit trusts.
• Play an active part in planning campaigns across the bank or within the branch.
• Develop and strengthen long-term relationships with clientsREQUIREMENTS:• Degree in any discipline with/without experience / Diploma in any discipline with 1- 2 years working experience
• Able to work on a flexible schedule that includes weekends
• Has a passion for banking and wealth management

OTHER INFORMATION:

• Location: Island-wide Branches
• Monthly Basic Salary: S$3,500 Basic + Sales Allowances + Quarterly Commissions – (Monthly Gross income of S$6,000 & above)
• Good performers can expect excellent financial rewards and rapid career advancement.
• Our Company strives to achieve employee satisfaction and provides conducive working environment, recognition, attractive rewards to all staff.

HOW TO APPLY:

So if you are

• An experienced Sales person

• Or someone looking for a Sales Career to earn a better income

• or simply looking for a Change in Career

Kindly send in your resume to [email protected]

Louise Chia Chau Lu

R1769464

EA No: 08C5257

Key accountability (Main purpose of this job):

The Data Analyst plays a pivotal role in driving data-driven decision-making across our school. You will be responsible for designing and implementing data analysis strategies, extracting insights from various data sources, and communicating actionable findings to stakeholders to improve student learning, operational efficiency, and overall school performance.

The Data Analyst is also responsible for building and maintaining an accurate school timetable that organises and supports student learning.

Responsibilities (Key areas of Responsibilities):

Data Acquisition and Management:

• Develop and implement data collection strategies for academic, student, and operational data
• Design and maintain data pipelines to ensure data accuracy, completeness, and accessibility
• Perform data cleaning, transformation, and integration tasks
• Manage data quality and implement data governance practices
• Extract, transform and load data from various sources into Google BigQuery

Data Analysis and Reporting:

• Conduct in-depth analysis of student performance data (e.g., standardised test scores, grades, attendance) and Operational data (e.g., HRMS, Facilities Management System, IT Systems etc) to identify trends, patterns, and areas for improvement
• Analyse student engagement and learning behaviours to inform instructional strategies and curriculum development
• Develop and deliver data-driven reports and presentations including actionable insights to stakeholders, including teachers, administrators, and leadership teams
• Generate regular and ad-hoc reports to support decision-making at both strategic and operational levels
• Create and maintain dashboards and visualisations to effectively communicate data insights
• Comprehensive data analysis using SQL queries and advanced BigQuery functions

Predictive Modelling:

• Develop and implement predictive models to forecast student performance, identify at-risk students, and optimise educational strategies
• Use statistical techniques to analyse historical data and build models that contribute to academic success and overall school improvement

Data Visualization:

• Create visually appealing and easy-to-understand dashboards and reports to communicate complex data findings to non-technical stakeholders
• Utilise data visualisation tools to present insights in a compelling and accessible manner
• Facilitate the development of new engines and modifications of existing engines in order to meet CIS data visualisation needs

Decision Support:

• Partner with stakeholders to identify data-driven solutions to address specific challenges and opportunities
• Utilise data analysis to support strategic planning, resource allocation, and program evaluation
• Contribute to the development and implementation of data-driven initiatives and projects.
• Meet with collaborators to understand and meet their data needs and goals. For example to create systems for the easy access of data to support events like UN Week, excursion lists, estimate foreign language book purchases
• Consult with collaborators to streamline their work process including data collection and presentation
• Clearly and concisely communicate complex data insights to technical and non-technical audiences

Surveys and Data Reports (School and Operational):

• Coordinate with stakeholders to properly set up the survey/form on the survey platform
• Transform and load data into BigQuery in appropriate format
• Make data accessible to relevant stakeholders through Google Sheets or Looker Studio or on the platform dashboard reports
• Focusing in managing, producing and visual creation of the data for departments Academic, HR, Finance, Admissions, Marketing etc (eg. enrollment trends, market analysis, comparison of data etc)
• Supporting the stakeholders in strategic decisions using the data sources by providing data insights on trends, comparison and market analysis

Early Years, Primary and Secondary Timetable:

• Collaborate with vice principals and the IT department to build the primary and secondary timetable and make structural changes as needed throughout the academic year
• Liaise with the timetable software provider for support and help with problem solving
• Coordinate a data calendar to support regular review cycles
• Setup Web Preferences to gather student’s subject choices for the next school year
• Coordinate with VPs to calculate accurate teaching loads and duty schedules
• Optimise timetable for all academic staff to maintain fairness

Student Support

• Maintain SWELL student information dashboards and Tier 1, 2 and 3 monitoring tracking while also supporting processes to streamline data entry
• Maintain ELL student information dashboards
• Advise SWELL and ELL admin support on best practices for bulk student reporting and parent contacts
• Create and maintain a system for tracking ELL, Learning Support and Caregiver students’ data between admissions and the SWELL and ELL departments to optimise student placement and staffing

Other Responsibilities:

• Stay current on the latest data analytics trends and technologies in education.
• Collaborate with other departments and teams to ensure data-driven decision-making is integrated across the school.
• Promote a data-driven culture within the school community.
• Ensure compliance on data protection with the data source.

Requirements:

• Bachelor Degree in data science, statistics, education, or a related field, or equivalent experience.
• Minimum 5 years of experience in data analysis, preferably in an education setting.
• Strong analytical skills and experience working with various data sources and tools (e.g., SQL, Python, R, Looker, Looker Studio, Tableau, Power BI).
• Excellent communication and presentation skills, with the ability to translate complex data into actionable insights for diverse audiences.
• Experience working in a fast-paced environment and managing multiple projects simultaneously.
• Strong problem-solving skills and ability to think creatively.
• Passion for education and a commitment to using data to improve student learning outcomes.

We are looking for contract HR Executive to be outsourced to our clients from the healthcare industry.

Job Description:

• Support recruitment activities for medical staff recruitment activities (arrange interview, preparation of contract / letters and other onboarding process), data maintenance, employee engagement activities as well as other ad-hoc duties as assigned.
• Other admin duties

Requirements:

• Bachelor Degree in Business Studies / Human Resource Management
• At least 1-2 years of HR experience
• Proficient in Microsoft Office applications / SAP or Success Factor
• Good interpersonal and communication skills

All qualified applicants, please send in your resume to:

[email protected]

Nicole Ang (Outsourcing Team)

Recruit Express Pte Ltd | Company Reg. No. 199601303W | EA License Number: 99C459

Astek is offering a role of Data Engineer to be based in Singapore.

Responsibilities:

• You will be supporting data engineering activities for Data Warehouse.
• Build data systems and pipelines
• Evaluate business needs and objectives
• Interpret trends and patterns
• Conduct complex data analysis and report on results
• Prepare data for prescriptive and predictive modeling

Requirements:

• Experience in Oracle PL/SQL and Informatica PowerCenter.
• Ablity to design, implement solution, and perform code review
• 1 to 7 years of experience in data engineering, data modeling, and the relevant database technology (e.g. RDBMS).
• Experience in Systems Development Life Cycle implementation methodology (SDLC) and/or Agile methodologies like Scrum and Kanban.
• Strong interpersonal skill and able to interact with diverse stakeholders.
• Denodo and Python would be advantageous

The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.

Responsibilities:

1. Data Pipeline Development: Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading of large datasets.
2. Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.
3. Data Integration: Integrate diverse data sources and formats to enable seamless data flow across systems.
4. Data Quality Assurance: Implement and monitor data quality checks to ensure the integrity of the data throughout the entire data lifecycle.
5. Collaboration: Work closely with business analysts, colleagues and other stakeholders to understand data requirements and deliver effective solutions.
6. Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems.
7. Documentation: Document data engineering processes, data models, and configurations for knowledge sharing and future reference.
8. Adherence to Best Practices: Stay current with industry trends and best practices in data engineering within company and ensure the adoption of these practices within the team.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of proven experience as a Data Engineer or similar role.
• Strong proficiency in programming languages such as Spark SQL and Python in a HIVE environment.
• Familiarity with cloud platforms such as AWS and Big Data infrastructure, Jira, Bitbucket, etc.
• Experience in CI/CD pipeline and working in an Agile environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Knowledge of data warehousing concepts and technologies.
• Candidates with experience in the Banking Industry will have an added advantage.
• Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
   
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
   
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.
   

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Salary: up to $2500

Working Days & Hours: Mon-Fri Office Hours

Location: Novena

Job Description:

• Perform investigations and reports results of haematology clinical chemistry and urinalysis.

• Perform skin scrapings, microscopic examinations for fungi and report results.

• Perform slit-skin smears, microscopic examinations for M.Leprae and reports results.

• Microscopic examinations for wet and stained smears for micro-organisms and reports results.

• Work in all laboratories by rotation.

• Undertake duties as assigned by Medical Technologist/Senior Medical Technologist.

• Perform sorting and compilation of laboratory request forms.

• Key in test results and other laboratory data into computer.

Job Requirements: Min Diploma in Biomedical Science or similar

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

The primary objective of the Data Protection Solution Architect is to drive leads and pipeline for Veeam. Responsible for providing technical expertise, enabling sales team, supporting pursuit activities, engaging with customers, and delivering compelling presentations

Role:

• Promote and advocate our data protection solutions, particularly Veeam, to customers, partners, and industry forums.
• Collaborate with the sales team to develop effective strategies and plans to drive leads and pipeline for Veeam.
• Engage with customers during the pre-sales process to understand their specific data protection requirements and recommend appropriate solutions.
• Collaborate with the sales and solutions engineering teams to develop and deliver compelling proposals, presentations, and demonstrations.
• Act as a trusted advisor to the sales team, providing technical expertise and support to accelerate sales opportunities.
• Deliver engaging and persuasive presentations to customers, showcasing the value and benefits of our data protection solutions.
• Customize presentations and demonstrations to align with customer needs and requirements.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
• Industry certifications in data protection (e.g., Veeam Certified Engineer, Certified Data Protection Professional, etc.).
• Minimum of 7 years of experience in a Solution Architect, Pre-Sales Engineer, or similar role in the data protection domain.
• Proven track record of success in driving leads and pipeline for Veeam or similar data protection solutions.
• In-depth knowledge and expertise in data protection technologies, including backup, recovery, replication, and disaster recovery.
• Experience in delivering technical training sessions and workshops to sales teams, partners, and customers.

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)

Data Center Engineer (Facilities)

Job Responsibilities:

• Conduct regular patrols and inspections of the power supply and HVAC systems within the data center.
• Perform scheduled preventative maintenance tasks to ensure the optimal functioning of the data center infrastructure.
• Perform remote hands services include tasks such as securing cabling, checking port numbers, observing, or reporting indicators on equipment, rudimentary observation of the environment, and server reboots.
• Respond and deal with emergency events in daily operation.
• Manage and oversee the Building Management System (BMS), promptly addressing and responding to any generated alerts.
• Ability to respond to issues and provide timely update, and escalation.
• Handle routine alarms and faults of power supply and distribution devices and HVAC systems.
• Maintain & update the relevant operation records, maintenance records, accident handling records and shift handover records.
• Maintain the environment cleanliness and temperature and humidity.
• Manage the safety appliances and instrumentation tools.
• Provide escort to visitors/ technicians to the Data Center room and witness the works that been carried out in the Data Center room.
• Have experience with supporting Data Centre related change and incident tickets.
• Adept with coordinating with multiparty stakeholders.
• Ensure all the compliance of all regulatory laws and company guidelines are met.

Requirements:

• Min of 2 years working experience in Data Center operations/ Data Center facilities maintenance. Candidate with more experiences will be considered for a senior position.
• Diploma or Degree in Computer science, IT systems, Electrical Engineering or any related field.
• Good understanding and hands-on experience on daily Data Center operations.
• Good level of understanding of Data Centre ecosystem e.g. power, cooling, temperature, humidity, fire prevention etc.
• Good level of experience in Capacity review e.g. rack assignment for equipment onboarding.
• Good level of experience in Physical Security operations (e.g Keys and access cards management, and Physical Access).
• Good level of experience in Rack and Stack.
• Good understanding and knowledge in data cabling, i.e. structured cabling, and patching is added advantage.
• Have experience with inventory management. i.e. Nlyte is added advantage.
• Proficient in Microsoft Office (Excel, Word and PowerPoint).
• Proficiency in English for communication with business partners.
• Proficiency in local languages is added advantage.
• Able to work rotating shifts, including weekends and public holidays.

Schedule:

• Rotational shift
• Weekend jobs
• Shift allowance provided

Job Description:

• Accurately and efficiently encode all data that needs organizing and recording
• Confirm that entered data accurately aligns with original documentation
• Organize and maintain original paper evidence
• Assure files are properly prepared and saved to backup drives
• Transcribe, scan or photocopy hard copy documents and forms as needed
• Self-audit your work checking for errors or duplication
• Maintain report logs of in-progress and/or completed work
• Perform any other office tasks that management requires assistance with (sending emails, answering phones, etc.)

Job Requirements:

• Minimum Diploma
• Knowledge and experience working within in pharma/medical industry is preferred but not required

Interested candidates do attach your resume to [email protected]

Attn: Angela Celeste Poh Li Ying (R2095367)

Recruit Express Pte Ltd (99C4599)

Job Description:

· Perform administrative support in the office

· Preparing of tax invoices, delivery orders and other documentation work

· Planning and arrangement for logistics movement

· Control of inventory and stock taking

· Other duties as assigned

Requirements:

· Possess at least A Levels or Diploma in any field

· Able to commit for at least 3 months

· Able to commence work immediately or in short notice

· No experience needed, full training will be provided.

· Keen interest in the healthcare/ medical industry

Interested candidates please send a copy of your resume to [email protected]

Email Subject: Admin Assistant

Leon Leong De Cong
R1551708

Recruit Express Pte Ltd (Healthcare & Lifesciences Division)
EA License: 99C4599

• Conducts activities of equipment power supply and control in order to assure the proper functioning of the plant. Moves raw material and process solvents received by Production Warehouse personnel
• Loads production equipment and conducts activities aimed to put instruments, services and plant in the right conditions to perform in the planned condition required by Manufacturing Formulas, operating procedures or Shift Manager dispositions
• Documents all the activities executed or to be executed signing and dating the official production documentation.
• Communicates and collaborates Shift Manager / Production Support for all the operations to be executed, in solving any anomalies occurred and suggesting possible solutions
• During the shift controls that the work progress in line with scheduling. Assures registration of SIC ( Short Interval Control) data which contributes to the control program DWOR ( Daily Weekly Operating Report)
• Maintains a high level of cleaning in the working area dedicating parts of the working hours to housekeeping operations of the department areas and equipment following the indication of the Shift Manager/Production Control
• Any other general administrative duties/ad-hoc projects as assigned by immediate supervisor.

Requirements

• Min NITEC / Diploma in Chemical Engineering / Chemical process tech / Chemistry
• No exp needed, training provided
• Able to start work immediately or short notice

Pharma MNC
Salary range: $2K to $3.5K

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)
Recruit Express Pte Ltd (99C4599)

Recruiter Ref code: #HKH

We are looking for a Senior Data Architect to be a part of our #blazeclan Singapore team!

This is an exciting opportunity for a qualified professional with an overall 15+ years of experience to join and add value to one of the Fastest Growing BIC (Born in the Cloud) company.

We would like to hire enthusiastic people who thrive on taking on challenging roles in order to give them an opportunity to hone new skills and try novel approaches.

As we are growing, we embrace diversity in thought, contribution and are committed to providing an equitable work environment.

Experience: 15 years – 20 years

Location: Singapore

Salary Range: SGD 14000 – SGD 17000

Job Description / What you will do:

• Act as a trusted advisor for our clients by designing and building analytics cloud solutions to enable better outcomes
• Deliver architectures for transformation and modernization of enterprise data solutions using Azure cloud data technologies
• Analyze current business practices, processes, and procedures as well as identify relevant Microsoft Azure Data & Analytics IaaS, SaaS and PaaS services
• Support the use of data-driven insights to help our clients achieve outcomes and goals whilst respecting security requirements
• Design and build data pipelines, data streams, reports, information dashboards, data services APIs, data generators and other data-relevant services
• Work across client stakeholders to gather solution requirements and propose architecture decisions
• During implementation collect, aggregate, and analyze structured/unstructured data from multiple internal and external sources
• Have a sound understanding of consumption cost drivers in Azure cloud-based solutions
• Develop and maintain data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics
• Be a critical part of the data supply chain, ensuring that stakeholders can access and manipulate data for routine and ad hoc analysis to drive business outcomes using Advanced Analytics

What you will need for the role:

• Minimum of 15+ years of experience with large-scale data and analytics solutions
• Must have worked on Azure synapse.
• Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows
• Experience with different database technologies (e.g., SQL database(s), NoSQL such as Hadoop, MongoDB, Redis, etc.
• Experience with exposing data to end-users via Power BI, Azure API Apps.
• Knowledge of Azure Data & Analytics PaaS Services: Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Databricks, Azure Stream Analytics and Azure SQL DB
• Knowledge of Lambda and Kappa architecture patterns and Mastery of SQL
• Experience in turning business use cases and requirements into technical solutions
• Experience in business processing mapping of data and analytics solutions
• Experience in technology solutions, practice development, architecture, consulting, and/or cloud/infrastructure technologies
• Experience driving knowledge transfer and/or training programs
• Experience with agile delivery methodologies, proof of concepts and prototyping
• Experience with Azure ARM templates, PowerShell and CI/CD using Azure DevOps

Good to have Skills:

• Knowledge of Master Data Management (MDM) and Data Quality tools
• Experience in managing teams, being a technical coach
• Experience with preparing data for Data Science and Machine Learning purposes
• Experience with Azure data, Machine Learning and Artificial Intelligence solutions

At least one of the below certifications:

1. Microsoft Azure certified Architect
2. Microsoft Certified: Azure Data Engineer Associate
3. Microsoft Certified: Azure AI Engineer Associate
4. Microsoft Certified: Azure Enterprise Data Analyst Associate
5. Microsoft Certified: Power BI Data Analyst Associate
6. Microsoft Certified: Azure Data Scientist Associate
7. Microsoft Certified: Power Platform Solution Architect Expert

We are Great Place to Work certified; looking for technically forward, cloud-savvy professionals.

Join us and commit to work in an ambiance that is free of prejudices.

If you think you could be the perfect fit for us, then take the leap and apply today!

Let us know at: [email protected]

We would love to hear from you!

The successful candidate will play an integral role in ensuring data ingested into the organization’s enterprise system to meet the stringent quality requirements required by business. These data are in turn required by business in their pursuit of alpha returns.

• On a day to day basis, he/she will also be involved in various data management tasks, including unstructured data.

Requirement:

• Degree from a recognized tertiary institution.
• At least 2 years of hands-on experience in data management or data analytics within investment and banking industry.
• Experience in SQL and Python.
• Confident and comfortable engaging with various business end users and stakeholders at all levels.
• Meticulous, with a keen eye for details, especially with numbers.
• Experience with data validation and correction tasks.
• Able to multi-task across various activity streams

Project Summary

• Work closely with business (research analysts, quantitative strategist, end-users, etc), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle, e.g. data onboarding and data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Skillset Requirements

• Possess a degree in Accounting, Finance, Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 5 years of relevant experience in data management, data analytics, and data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution, and perform code review.
• Experience in Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
• Excellent written and verbal communication skills.
• Strong interpersonal skills and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.