Always feel like YOU have the ability to shine?

Just Graduated/ORD-ED/ Looking for a Change?
Look no further!

As the leading industry expert, Euphoria Organisation is the go-to outsourced sales and marketing firm that renowned businesses rely on to increase their market share and brand awareness.

We are now expanding and looking to groom the next leaders of the industry and bring their careers to greater heights.

Responsibilities:

• Conduct sales and marketing strategies via face-to-face marketing channels to potential clients
• Support and enhance the team's business growth

You can look forward to:

• A Competitive Salary & Performance Bonuses
• 1-on-1 Mentorship
• Career Advancement and Progression
• Personal Development
• Overseas Exposure
• Dynamic Working Culture

Requirements:
* Adaptable & Determined
* No Experience Required as Training is Provided

Apply now if you are the next big thing out there :)

Just Graduated/ORD-ED/ Looking for a Change?
Look no further!

As the leading industry expert, Euphoria Organisation is the go-to outsourced sales and marketing firm that renowned businesses rely on to increase their market share and brand awareness.

We are now expanding and looking to groom the next leaders of the industry and bring their careers to greater heights.

Responsibilities:

• Conduct sales and marketing strategies via face-to-face marketing channels to potential clients
• Support and enhance the team's business growth

You can look forward to:

• A Competitive Salary & Performance Bonuses
• 1-on-1 Mentorship
• Career Advancement and Progression
• Personal Development
• Overseas Exposure
• Dynamic Working Culture

Requirements:
* Adaptable & Determined
* No Experience Required as Training is Provided

Apply now if you are the next big thing out there :)

Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Responsibilities:

• Deliver data centre operations support across multiple data centres

• Respond to all alarms/alerts set in Data Center Infrastructure Management (DCIM), Server Automation Operations System (SAOS), CCTV, Access Control Systems (ACS), and other functions (EHS, Security, etc),

• Provide deep understanding and intelligence of the criticality and impact of the incidents to the resolver groups.

• Ensure detailed records of alarm handling activities, including actions taken, resolutions in ticketing tools and file incident reports.

• Be available to coordinate as an incident commander in event of an issue.

• Support program managers and facilitate project deliverables, improve overall operational and engineering initiatives.

• Conduct root cause analysis (RCA) to determine recurring problems to their source.

• Employ in-depth questioning and analysis techniques such as five whys to determine the underlying cause of the incident or problem.

• Handle ticketing system

• Perform duties in compliance with SOP.

Requirements:

• Diploma/Degree in Information Technology.

• 2 years+ experience in command center, service center, or similar 24x7 operations center environment

• Ability to quickly triage multiple incidents and assign the right priority based on risk and confidence levels

• Knowledge of technical elements associated with systems such as IP Networks, DC Environment and Server Health.

• Outstanding verbal and written communication skills required, work with minimal direction, meeting goals, attention to details and an eye for continuous improvements

• Ability to successfully interact at all levels of the organization, including with clients, while functioning as a team player required.

• Basic working knowledge of data protection policies such as GDPR and the need to keep sensitive information secure.

Job Responsibilities

1. System Integration

• Interface with WhatsApp Business API and Help Desk systems to support message reception, distribution, and routing.
• Develop middleware for messaging to optimize cross-platform data synchronization and system communication efficiency.
• Integrate external APIs (e.g., flight, weather, hotel data) to provide clients with dynamic content.
• Ensure efficient data flow across systems, enhancing collaboration between systems and messaging services.

2. Knowledge Base Management and Optimization

• Build and maintain business knowledge bases, including playbooks, FAQs, and product information, ensuring data accuracy and timeliness.
• Optimize the knowledge base using vectorization techniques (e.g., embeddings) and Retrieval-Augmented Generation (RAG) to enhance contextual support for LLMs.
• Develop tools for automated knowledge base updates, supporting multi-language and dynamic content management.
• Collaborate with the NLP team to create efficient knowledge retrieval pipelines, enabling precise business context support for LLMs.

3. Data Stream Processing and Analysis

• Design and implement data pipelines for comprehensive workflows from collection, cleansing, storage, to analysis.
• Build real-time stream processing systems (e.g., Kafka or RabbitMQ) to ensure low-latency and high-throughput message transmission.
• Develop data monitoring tools to provide insights on performance, usage reports, and issue diagnostics.

4. LLM Support and Expansion

• Collaborate with the NLP team to optimize input data processing and context enhancement for LLMs.
• Provide API interfaces seamlessly integrated with the knowledge base, supporting multi-turn dialogues and complex task management via LLMs.
• Support future LLM projects, including multi-language conversations, sentiment analysis, and dynamic recommendation features.

5. Technical Support and System Optimization

• Optimize existing system architecture to enhance data flow and message processing efficiency.
• Diagnose and troubleshoot system issues to ensure high availability and stability.
• Participate in technical evaluations and introduce new technologies to deliver innovative solutions for business needs.

Job Requirements

1. Technical Skills

• System Integration:Proficient in RESTful API and Webhook development, capable of interfacing with WhatsApp Business API and Help Desk systems.
  Skilled in message queue tools (e.g., Kafka, RabbitMQ) to optimize message distribution and routing.
  
• Data Processing and Knowledge Base:Familiar with vector search technologies (e.g., FAISS, Elasticsearch) with experience in building and optimizing knowledge bases.
  Proficient in designing and optimizing SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
  
• Stream Processing and Automation:Experienced with real-time stream processing tools (e.g., Apache Flink, Apache Kafka Streams).
  Familiar with data pipeline tools (e.g., Apache Airflow, Luigi).
  
• LLM Support:Understand the fundamentals of large language models (e.g., GPT-4) and support RAG-based context-enhanced generation.
  NLP project experience is a plus.
  

2. Work Experience

• Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or related fields.
• At least 3 years of experience in data processing, system integration, or backend development.
• Experience with distributed systems or knowledge base management is preferred.

3. Soft Skills

• Learning Ability: Passion for LLM and AI technologies with the ability to quickly grasp new skills.
• Cross-Team Collaboration: Capable of efficient collaboration with NLP, front-end development, and business teams.
• Problem Solving: Strong analytical skills to address complex system issues.
• Responsibility: Ability to independently drive project progress and deliver high-quality results.

Bonus Points

• Experience integrating WhatsApp Business API and Help Desk systems (e.g., Odoo, Zendesk, Freshdesk).
• Familiarity with vector databases (e.g., Pinecone, Weaviate, Milvus) or cloud services (AWS/GCP/Azure).
• Expertise in developing multilingual knowledge bases.
• Experience with large-scale system optimization or distributed system development.

Job Summary :

• Our Data Scientists use their domain expertise to identify where AI can speed up operations, reduce costs, increase productivity, personalise the client experience; and build and deploy AI models. We’re looking for brilliant minds who are intellectually curious, analytical and willing to learn, with a numerate background in AI, mathematics, engineering, sciences or related disciplines.
• Our Data Scientists use their domain expertise to identify where Artificial Intelligence (AI) can speed up operations, reduce costs, increase productivity and personalise client experiences. We’re looking for brilliant minds who are intellectually curious, analytical and love to learn.
• About our Digital Channels & Data Analytics (DCDA) team
• They support our corporate clients, by creating a more equitable, sustainable, and prosperous future for clients and global communities through technology, data and digital. They’re responsible for being an expert in digital products and services and partner with our sales and coverage teams.

About Corporate & Investment Banking (CIB)

• For more than 170 years we’ve support clients with their transaction banking, financial markets, corporate finance and borrowing needs and provide solutions to nearly 20,000 clients in the world’s fastest-growing economies and most active trade corridors.

Key Responsibilities

• Partner with stakeholders including our sales team, relationship managers, traders and leadership to understand where AI can optimise our business.
• Translate business requirements into AI solutions using Quantum Machine Learning techniques and define tangible, measurable and commercial success criteria
• Mine large sets of data to uncover trends, insights, and opportunities from multiple internal and external data sources.
• Enhance data collection methods through augmentation, normalisation, and outlier removal.
• Recommend appropriate AI solutions and train AI models.
• Deliver self-service dashboards to report on business use case and success criteria.
• Use data visualisation for predicted outputs and insights and to translate complete analytics into business language.
• Embed a framework of continuous monitoring to deployed models and solutions, for continuous enhancement.

Our Ideal Candidate

• Experience and education in AI, Mathematics, Engineering, the Sciences, or related discipline
• 3 + Years of experience in Predictive models, Quantum machine learning algorithms and large language models
• Data visualisation tools, including Matplotlib, Plotly, Power BI and Tableau.
• Natural Language Processing (NLP).
• Financial mathematics

Role Specific Technical Competencies

• Python programming.
• Financial mathematics.
• Time series analysis.
• Data governance and management.
• AI regulatory compliance.
• AI techniques utilizing quantum machine learning.

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

Data System Development

o Design and construct ROI-oriented data systems to evaluate activity effectiveness and optimize operational costs.

o Establish business intelligence (BI) dashboards to visualize core metrics for decision- making.

User Analysis and Personalization

o Perform detailed user segmentation based on demographics, behaviour, and risk appetite.

o Develop user labelling systems to enable personalized recommendations and improve user retention.

Competitor Analysis

o Utilize advanced tools (e.g., web crawlers) to gather market data, including transaction volumes, liquidity, and capital flows.

o Create comparative analyses to monitor market share trends and competitive positioning.

Data Governance and Collaboration

o Partner with data warehousing teams to ensure business-aligned data structure and governance.

o Define data set specifications and manage permission hierarchies.

Cross-functional Support

o Provide data insights for product development, including new feature assessments and pain-point resolutions.

o Collaborate with marketing, operations, and other teams to optimize performance indicators.

Requirement:

• Bachelor’s Degree in Computer Science, Engineering, or a related field required.
• Min 8 years of experience in Data Analytics and proven track record in cross functional team support
• Experience in using Business Intelligence tools are essential.
• Experience with relational databases and source control tools is preferred.
• Ability to work effectively on the trading floor under tight deadlines.
• Excellent communication, analytical skills, and a dependable work ethic.

Interested candidate submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile https://sg.go.persolkelly.com/job/details/10401

We regret to inform 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 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

• Registration ID <R1105286> (Ngiam Xinyi)

Duration: 7 months
Salary: Up to $3,450/month

Job Responsibilities:

• Assessment of Data Breach Notification cases and submission of Data Breach Notification Case Assessment Report
• Administrative support for Data Breach Notification Cases
• Assist in preparation of case and complaints data for monthly and ad-hoc management reports
• Assist in ongoing GenAI Project (implementation of GenAI tool for Case Assessment and Investigation Report Summarization)

Looking for:

• Singaporeans only
• Min. Degree in any relevant field of study
• Preferable to have experience in report writing but not mandated
• Detail-Oriented

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:
Contact you about potential opportunities.
Delete personal data not required at this application stage.
To withdraw consent, email [email protected].
All applications will be processed with strict confidence.
Only shortlisted candidates will be contacted.


Chloe Chew (R1768631)
ScienTec Consulting Pte Ltd | 11C5781

Support data engineering tasks, including the implementation and maintenance of

data pipelines, as well as the rectification of broken pipelines. Maintain the data platform and perform regular software version upgrades across all environments, ensuring thorough testing and detailed documentation.

• Support daily operational needs by handling application configuration changes, managing user access request to application, addressing general function queries, and troubleshooting on issues.

Maintain platform on application administration, system connectivity, interface Integration and model deployment.

Perform source code review and configuration review periodically to ensure code quality and verify that sensitive information, such as secrets, is not hardcoded or embedded in source codes or configuration files.

• Periodic patching of Azure Cloud Servers

Develop business processes by engaging stakeholders to understand use cases for building data pipelines, performing data modeling, completing data collection forms, documenting use cases, defining data attributes within various data quality zones, and

establishing naming conventions for datasets. Experience and skills requirements

Degree in Computer Science, Engineering, or related disciplines

Must have minimum 3 years of working experience in this role.

Experienced in architecting, designing, developing, implementing and maintenance of data platform.

• Strong scripting skills in languages such as Python, PySpark, SQL, Bash, PowerShell, Git commands.

Experience with database technologes (eg. PostgreSQL, MS SQL, Oracle). Familiarity with Cl tools and technologies such as Jupyterttub, Gittab, Jenkins, Azure

Databricks and RStudio, PowerBl.

Experienced in containerization technologies Docker, Kubernetes • Experienced in geospatial tools such as Geopandas. PostGIS, and platforms like

ArcGIS Enterprise/Server. Familiarity with Cl tools and technologies such as G-tah, Jenkins, Azure Databricks and Jupyter Hub.

Experienced in Public Cloud Platforms-Azure, AWS Ability to work well with a tearn and be willing to leam

Other requirements

Must have good communication skills and the ability to

Understand and communicate in English, in speech and writing.

Work with other members in a dynamic and fast-moving team.

Work independently with minimum supervision.

Work on own initiative and adhere to deadlines

Added adrartens with the following.

Experience with database technologes (eg Postgresql, MS SQL Oracle

Infrastructure-as-code Toors Terraform, CloudFormation

Containenzation Technologies-Docker, Kubernetes Agle Management Tocis Confluence Jira Kanean board

Role: System Administrator

• Deliver technical support to users

Investigate and ensure support systems in a business run smoothly.

Provision new servers for ICT systems and websites.

Perform back-ups and manage virus control protection.

Diagnose and resolve hardware, software, networking, and system issues when they arise.

Document any changes and new processes.

Experience and skills requirements

Technical experience

General understanding of Network

7 to 10 years on Linux (RHEL/CentOS/Ubuntu) management

5 to 8 years of File Server. DHCP, DNS management

Ability to follow process such as ITSM (CI management. Change management, Incident management, etc)

Ability to create/modify script using Python Preference for computer-related majors

Certification

Relevant degree or diploma in Information systems or information technology.

Added advantage with the following:

2 to 5 years of Architecting in Public/Private Cloud

5 to 8 years of AWS/Azure environment management

1 to 2 years on managing Public Cloud (AWS/Azure)

2 to 5 years of Public Cloud migration Critical thinking and problem Solving

Famillarity with SQL and database operations

Great analytical skills

Strong troubleshooting skills

Good communication and interpersonal skils

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

1. IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
2. New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
3. Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

RESPONSIBILITIES

• Implement projects within their emplaced practice to ensure service delivery and support to meet the intended availability, continuity and capacity requirements.
• Translate business requirement into infrastructure design.
• Work with service providers to design, develop, deploy and configure infrastructure to meet resiliency, availability and data integrity needs.
• Ensure compliance to Authority's Technical Architecture and SG-TRM, as well as IM8 and Authority IT Policies. • Manage Infrastructure projects and services to support application systems environments. • Request to provision new VMs for new systems.
• Manage system architecture, resource planning, infrastructure performance and system hosting environment from server hardware till OS layer (Excluding hypervisor and Storage) in support of new applications.
• Main infrastructure single-point-of contact for all new application system initiatives and to support/assist in application architecture design, integration and acceptance and infrastructure performance testing.
• Handover Infrastructure and Systems standard operating procedures and day-to-day performance/availability monitoring to Operations Engineer upon commissioning and completion of PGP. • Support Operations Engineer on Infrastructure and Systems.
• Assist in Infrastructure Architecture review, support and endorsement Review Hardening standards for OS, database.
• Hosting environment infrastructure on-boarding (design, setup, configuration, implementation, testing and commissioning of infrastructure components).
• Understand systems operations environment is expected.
• Manage Infrastructure projects and services to support application systems environments.
• Request to provision new VMs for new systems.
• Manage system architecture, resource planning, infrastructure performance and system hosting environment from server hardware till OS layer (Excluding hypervisor and Storage) in support of new applications.
• Main infrastructure single-point-of contact for all new application system initiatives and to support/assist in application architecture design, integration and acceptance and infrastructure performance testing.
• Handover Infrastructure and Systems standard operating procedures and day-to-day performance/availability monitoring to Operations Engineer upon commissioning and completion of PGP.
• Support Operations Engineer on Infrastructure and Systems.
• Assist in Infrastructure Architecture review, support and endorsement Review Hardening standards for OS, database.
• Hosting environment infrastructure on-boarding (design, setup, configuration, implementation, testing and commissioning of infrastructure components).

• Bachelor's degree in computer science/ information technology/ engineering or equivalent
• Minimum 5 years of experience in relevant fields such as delivering Enterprise Data Science and / or Big Data Platforms on AWS (Preferred) or On-Premise (Good to have).
• Hands-on experience with Linux RHEL (Preferred), Windows (Good to have), OS virtualisation technologies (Good to have), SAN storage (Good to have) and/or databases (Added advantage).
• Ability to take a broad, strategic perspective as well as drill deep to understand business needs and challenges.
• Ability to analyse and identify comprehensive solutions considering all functional implications while developing a workable solution.
• Hands-on experience in in developing DevSecOps and MLOps pipelines, either on Cloud (Preferred) or On Premise (Good to have) would be an added advantage.
• Knowledge with database technologies such as Microsoft SQL Server and MySQL. Working experience with both structured and unstructured data sets would be an added advantage.

The successful candidate will play a pivotal role in designing and implementing solutions for automating data services processes. This position requires strong technical expertise, analytical problem-solving skills, and effective collaboration within a team-oriented environment.

Key Responsibilities:

• Develop, deploy, and maintain automation solutions for data services.
• Write efficient and maintainable code using Python, SQL, and PL/SQL.
• Leverage CI/CD pipelines to enhance deployment and automation processes.
• Work with data warehouses such as Snowflake and Oracle to optimize data workflows.
• Collaborate with cross-functional teams to analyze requirements and deliver effective solutions.
• Troubleshoot and resolve issues in automation systems and data pipelines.
• Contribute to the continuous improvement of existing processes and technologies.

Mandatory Skills and Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proficient in Python, SQL, and PL/SQL.
• Experience with CI/CD pipelines for automation and deployment.
• Familiarity with data warehouses like Snowflake and Oracle.
• Strong analytical and problem-solving abilities.
• Excellent communication and teamwork skills.

Preferred Qualifications:

• Experience in data engineering or data services roles.
• Familiarity with cloud platforms and big data technologies.

EA License Number : 11C4879

Overview:

As a Power BI reporting Lead (Sr Cons, Data Engineering), you will spearhead our efforts to transform and elevate our data visualization and reporting capabilities. Your expertise in Power BI, coupled with your experience in report migration, will be instrumental in guiding our organization through the transition from various platforms to Power BI. You will lead a team dedicated to creating insightful, dynamic reports and dashboards that empower decision-makers with real-time data.

Key Responsibilities:

• Design, develop, and maintain advanced Power BI reports and dashboards.
• Lead the migration of reports from other BI tools (such as Tableau, Qlik, Excel, etc.) to Power BI, ensuring accuracy, efficiency, and minimal disruption to business operations.
• Work closely with business stakeholders to understand their data visualization needs and translate business requirements into technical specifications.
• Establish and enforce best practices for Power BI report development, including data modeling, data blending, and visualizations.
• Provide technical leadership and guidance to the Power BI team, including training and mentorship.
• Collaborate with IT and data management teams to ensure seamless data integration and compliance with data governance standards.
• Stay abreast of the latest Power BI features and updates, evaluating and implementing them to enhance our reporting capabilities.
• Manage the Power BI service, including workspace administration, report publishing, and user access management.
• Conduct performance tuning and optimization of Power BI reports to ensure fast load times and a smooth user experience.
• Document all report migration processes and develop guidelines for future migrations.

Required Skills and Qualifications:

• Bachelor’s degree in computer science, Information Technology, Data Analytics, or a related field.
• Minimum of 8 years of experience in data analysis and report development, with at least 5 years focused on Power BI.
• Proven experience in migrating reports from other BI platforms to Power BI, including knowledge of different migration tools and techniques.
• Strong understanding of data modeling, SQL, and DAX.
• Excellent analytical and problem-solving skills, with the ability to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
• Demonstrated ability to lead and mentor a team of analysts or developers.
• Excellent communication and interpersonal skills, with the ability to interact effectively with all levels of the organization.
• Experience with data governance and compliance requirements.
• Familiarity with Power BI administration and workspace management.

Preferred Skills and Qualifications:

• Certification in Power BI or other relevant BI tools.
• Experience with cloud data platforms (e.g., Azure, AWS, Google Cloud).
• Knowledge of Python or R for data analysis and visualization.

Job Description:

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.
• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.
• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.
• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.
• Monitor and optimize data workflows for performance, reliability, and scalability.
• Document data processes and ensure best practices in data engineering are followed.
• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.
• Skills:Data analytics, Quantexa,Spark,Scala,Elastic search,AWS,Azure,GCP, Analytics.

Requirements:

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.
• Proficiency in Elasticsearch for search and analytics applications.
• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.
• Strong SQL skills and experience with relational databases.

Duration: 1 year

Location: Caldecott

Working Hours: Monday - Thursday 830am to 6pm; Friday 830am to 530pm

Responsibilities:

• Support in administrative tasks such as maintaining and updating of data.
• To process simple data cleaning and analysis.
• Support the team in liaising with different agencies to coordinate meeting dates and to obtain the required updates.

Requirements:

• Singaporean
• IT degree and experience in Python.
• Detail-oriented.
• People-oriented.
• Able to process and structure large amounts of information.

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

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. R23114622 So Man Xin

Contract: 12 months

Location: Caldecott

Responsibilities

• Support in administrative tasks such as maintaining and updating of data.
• To process simple data cleaning and analysis.
• Support the team in liaising with different agencies to coordinate meeting dates and to obtain the required updates.

Requirements

• Degree
• Experience in Python
• Able to process and structure large amounts of information.

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.

https://go.persolkelly.com/job/apply/10214

We regret to inform 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 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: R23117066 (CHEW KIA ZHENG)

About Pinterest:

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.

We are looking for an experienced Data Scientist to join our team and help us grow our international advertising business, international expansion is critical to Pinterest success. As a key member of our team, you will be responsible for developing and implementing innovative and effective data-driven strategies that can significantly enhance decision-making. Accuracy, a keen eye for detail, and a hands-on approach are essential qualities that we are looking for in this role. This role collaborates with Product Managers and Engineering to find the best ways to grow this critical advertising group.

What you’ll do

• Deep strategic analysis to answer core questions such as: How can we help advertisers see better performance? Why do SMB advertisers churn? Who should our target audience be?
• Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement and investment.
• Improve decision velocity and quality using data scientist tool kit: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc.
• Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. This work may span from collecting entirely new datasets to building dashboards to track components of a metric
• Improve machine learning models which power notifications delivery and content, via direct contributions, new features/signals, and/or compelling analyses.
• Leadership and Partnership: Lead the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Partner with cross-functional teams to ensure they are held to rigorous data standards and are using data to aid each decision being made.

What we’re looking for:

• 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
• Strong background in statistics, machine learning, and/or experimentation
• Domain knowledge in advertising and product development
• Proven ability to apply scientific methods to solve real-world problems on web-scale data
• Proficiency in SQL/Hive/Python
• Strong proficiency in both English and Mandarin for effective communication with internal teams and external partners.

The best candidates will also have:

• Strong sense of ownership, willingness to dive in and do work, even if it's not the most glamorous, to get the job done. Can work with dirty data sets, do manual labeling, and improvise as needed to work around problems. Works quickly and efficiently, doesn't think any work is below them.
• Impact-driven mindset. Proven track record of making things happen.
• Technical proficiency. Can write efficient SQL queries for many-to-many datasets without erroneous duplication; familiar with left outer join and why it would be useful. Able to write basic code but needn't write elegant solutions to the sorts of algorithm questions often found in coding interviews.
• Strong business / product sense. Ability to ask the right questions (why the work is important, what decisions will help inform it, what an 80% solution will look like). Can explain why past work done was important and justify decisions made. Wants work to be practically applicable and have product impact in the short- to medium-term (< 6 month).
• Data skepticism and curiosity. Doesn't think data or a model can solve every problem; digs into anomalies and wants to understand them. Identifies issues in datasets.
• Strong communication skills. Explains work and thought processes clearly and concisely.
• Desire for simplicity. Don't strive for perfection when a simple solution will do the job. Recognizes that linear models and plain old counting can be very powerful.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• As such, this role will need to be in the office or in front of our customers for in-person collaboration, typically 2 days per week, and therefore needs to be in a commutable distance to our Singapore City based office.

Our Commitment to Diversity:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Responsibilities:

• Support the validation and updating of global employee data onto SAP.
• Liaise with global HR Administrator providing coaching and direction as required
• Liaise projects to identify, correct and re-engineer HR processes to ensure quality data
• Liaise mass data change projects and processes
• Maintain currency of documented processes
• Administration, analysis and tracking of system access requests for HRIS (SAP HR), HRMR (HR Measurement & Reporting), Talent Link modules and Workforce Analytics (WFA)
• Daily oversight of the HR Data mailbox (intake/triage), including issues and escalations as required
• Ensure data access authorisations in accordance with privacy controls
• Develop requirements documentation and conduct analysis of HR data access system change requests (SCRs) with impacted areas/owners
• Raise awareness of system access gaps, risks or concerns to management & SAP security team to arrive at a sound business solution
• Empower self-sufficiency with data apps provided to any number of end users
• Create a knowledge base for your team, department, or entire organization. Build and share reusable workflows as best practices or starter kits for beginners

Requirements:

• Minimum bachelor’s degree and Freshers/experience with good Knowledge or experience in Knime.
• Proficient in Knime modules.
• Ability to speak and write in Chinese as the incumbent requires to liaise with the China HQ counterparts/personnel for work or project related matters

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

Job Description:

1. Monitor and maintain critical data centre infrastructure, including power distribution systems (UPS, generators), HVAC systems, fire suppression systems, and access control systems.
2. Perform preventive maintenance on data centre equipment and systems.
3. Respond to alarms, troubleshoot issues, and ensure prompt resolution.
4. Liaise with the building landlord to coordinate maintenance schedules, address building infrastructure issues, and ensure compliance with safety regulations.
5. Support off-office hours activities, including responding to emergency alarms, performing on-call duties, and coordinating with vendors for emergency repairs.
6. Ensure strict adherence to data centre physical security procedures.
7. Follow documented incident response procedures, track incidents to closure, and communicate with stakeholders.
8. Generate reports to management, including monthly performance reports, incident summaries, root cause analyses, and status reports on ongoing projects.

Qualifications:

1. 3+ years of experience in data centre facility management.
2. Experience working in a 24x7 mission-critical environment.
3. Strong knowledge of electrical and mechanical systems in data centres.
4. Experience with fire suppression systems and access control systems.
5. Proficiency in troubleshooting and problem-solving.
6. Excellent communication and interpersonal skills.
7. Must have prior experience working in data centre operations in financial institutions.

Interested candidates may apply through the application system. We regret to inform only Shortlisted candidates will be notified.

EA License No. 01C4394 • RCB No. 200007268E •Derrick Tiew Yong Han EA Registration No. R1877971

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Business Understanding At least (3) years of relevant experience in:
- Business Requirement Analysis
- Business Process and System Understanding
- Effective Communication with both business and technical users
Azure Data Engineering At least (2) years of hands-on experience as Azure Data Engineer using:
- Azure Data Factory
- Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate;
Data Ingestion & Modelling At least (3) years of hands-on experience in
- Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing
- Implementing Data Quality validation
- Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema.
• Knowledge of writing DAX query to create measures & dimensions.
• Python Coding Experience
Others Conversant in Microsoft Office products

The Data Analytics Lead will spearhead the analytics team, ensuring that data-driven insights are effectively used to shape company strategy and drive business outcomes. This role requires a deep understanding of data modeling, reporting, and analytics tools to enhance decision-making across various departments. The ideal candidate will have a proven ability to work cross-functionally and deliver high-quality analytics projects.

Key Responsibilities:

• Lead and manage the data analytics team to deliver actionable insights that support business decisions and improve company performance.
• Develop and implement analytics strategies and frameworks to solve complex business problems.
• Oversee the design, development, and maintenance of data pipelines, dashboards, and reporting systems.
• Collaborate with cross-functional teams (e.g., Product, Marketing, Finance) to identify data needs and translate business requirements into technical specifications.
• Ensure data integrity and consistency by defining best practices for data collection, storage, and analysis.
• Mentor and provide technical guidance to junior team members to enhance their analytical and technical skills.
• Present findings to senior management, providing strategic recommendations based on data insights.
• Stay updated on industry trends, emerging technologies, and best practices in data analytics to continuously improve the team’s capabilities.

Qualifications:

• Bachelor's or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 5+ years of experience in data analytics, with a minimum of 2 years in a leadership role.
• Strong expertise in data analytics and visualization tools, SQL, Python, R, Tableau, Power BI etc.
• Experience with data warehousing solutions, cloud platforms and ETL processes.
• Excellent problem-solving skills, with a proven ability to analyze complex datasets and communicate findings in a clear, actionable manner.
• Bilingual proficiency in English and Chinese, enabling effective communication across multilingual teams and stakeholders.

Process the day-to-day operations to:

• support document management, data maintenance
• meet agreed SLA, and Staff Efficiency & Productivity targets

Responsibilities

BAU

• perform document and data extraction
• prepare letter/email draft for sign off
• maintain registers
• liaise and follow up with business units

Administration

• ensure the smooth and efficient day-to-day operations
• perform general clerical functions (including data maintenance, filing documents)

Requirements

• a diploma in any field
• banking experience in similar capacity preferred
• AML knowledge is advantageous
• independent, able to work with minimum supervision
• detailed and meticulous

The Opportunity:

• Experience in Hyperscale Data Center Project Mangement
• Office location: Central.
• Work hours: Mon to Fri
• $6,000 - $10,000 + Bonus

Adecco is partnering with a Global Data Center Owner to look for professional and confident Project Manager to handle internal stakholders and external parties to complete the Hypserscale Data Center within the regions.

The Job:

• Project Leadership: Plan, lead, and coordinate data center projects across all phases, from design and construction to operational handover, ensuring seamless execution from inception to completion.
• Technical Expertise: Leverage deep knowledge of data center infrastructure and construction processes to drive successful project outcomes.
• Project Management: Oversee project timelines, budgets, and quality to ensure delivery aligns with company objectives and industry standards.
• Stakeholder Engagement: Facilitate effective communication with diverse stakeholders, ensuring alignment and collaboration throughout the project lifecycle.

The Talent:

• Degree in Engineering/Project Management/Information Technology or technical field
• 5 years project management experience in hyperscale data center
• Knowledge in TIA-942, Uptime Institute Tier Standards, and LEED for data center project
• PMP/Prince 2 AND CDCP/DCDP is a bonus

Next Step:

• Interested applicants, please send your resume to [email protected] with your current and expected salary.
• Only shortlisted candidates will be contacted.

Job Descriptions:

1. Arrange and discuss with users to understand the reporting requirement, and document down the requirements into technical specification or mappings for development team to deliver

2. Identify the source data required for creation of the reports and dashboards, interpret the data to understand the relationship of different datasets

3. Facilitate the computerization of analytics and data collection processes

4. Collaborate with source system PICs to establish the data connection and data feeding automation

5. Work closely with existing Data Warehouse team to bring the data into DWH system for reporting and dashboarding

6. Carry out complex analysis of datasets and conduct appropriate data validation

Key skillset:

1. At least 3 to 5 years experience in BA, interfacing with Technical team and Business team

2. Knolwedge / Exeriece in Power BI , Qlik and data analytics is preferable

3. Banking knowledge and able to understand the corporate banking, trade finance