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:

A Databricks Engineer is responsible for leading the migration of on-premises data warehouses to Databricks, designing robust data architectures, and ensuring seamless data integration and governance. The role involves implementing cloud-based solutions, optimizing data workflows, and extracting insights while maintaining data security and compliance standards.

Key Responsibilities:

· Lead end-to-end data migration projects from on-premises environments to Databricks with minimal downtime.

· Design and implement solutions on Databricks within AWS environments, adhering to functional and non-functional requirements.

· Configure Databricks clusters, write PySpark code, and develop CI/CD pipelines for deployment.

· Apply optimization techniques like Z-ordering, auto-compaction, and vacuuming for enhanced performance.

· Process near real-time data using Auto Loader and DLT pipelines.

· Optimize AWS and Databricks resources for performance and cost efficiency.

· Stay updated with advancements in AWS, Databricks services, and data engineering practices to recommend improvements.

· Implement engineering methodologies, standards, and best practices.

Required Skills:

Experience:

· Minimum 5 years in data engineering, with expertise in Databricks, AWS/Azure services, or Informatica IDMC.

Technical Proficiency:

· Strong knowledge of Databricks, Python, PySpark, SQL, and NoSQL databases.

· Hands-on experience with Apache Spark, Hadoop, and cloud-based data architectures.

· Proficiency in building data pipelines using Python, Java, or Scala.

Data Management:

· Expertise in data modelling, schema design, and data governance.

Optimization Skills:

· Familiarity with techniques like Z-ordering and compaction.

Certifications:

· Databricks certifications and Informatica certifications (preferred).

Soft Skills:

· Excellent analytical, problem-solving, communication, and collaboration abilities.

Preferred Skills:

· Experience with containerization and orchestration tools like Docker and Kubernetes.

· Knowledge of data visualization tools like Tableau or Power BI.

· Familiarity with DevOps principles, CI/CD pipelines, and version control systems like Git.

· Understanding of data cataloguing tools and data governance, especially Informatica IDMC.

This role demands a proactive approach to implementing innovative solutions and optimizing workflows to ensure high-performance data engineering.

Role

a) Provide input to the development, maintenance and promulgation of the blueprints,
roadmaps and reference architectures for Data Analytics infrastructure and services.
(b) Perform analysis of new requirements and develop solutions and manage solution
delivery through acquisition or change control.
(c) Enhance our cloud capability by creating and implementing cloud application
patterns.
(d) Develop and implement ways to move apps and workloads to the cloud.
(e) Work closely with business leads and system owners to understand solution
requirements and identify architectural patterns.
(f) Write and develop cloud automation playbooks for managing and scaling containers,
hosts, cloud services, and applications.

Requirements
(a) Degree/master’s in computer science, Information Technology, Computer
Engineering or equivalent.
(b) Minimum eight (8) years’ experience in providing data warehouse or advanced
analytics solutions.
(c) Experience with
• databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Databricks)
• data repository design (e.g. operational data stores, dimensional data stores,
data marts, datalakes)
• data interrogation techniques (e.g. SQL, NoSQL).
• structured and unstructured data analytics.
• statistical computing programming language (e.g. R, Python).
• data quality tools and processes.
• data transformation and terminology equivalence mapping.

(d) Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).
(e) Deep understanding of analytical models and methodologies – especially in the
context of health analytics for clinical use and clinical safety (e.g. data mining,
predictive analytics).
(f) Experience with data acquisition tools (e.g., ETL, real-time data capture, and change
data capture).
(g) Thorough understanding of ML, data analysis, data visualization, and event-driven
architecture.
(h) Exposure to the development, evolution and adherence to the architectures relevant
to the domain.
(i) Ability to work with a wide variety of report generation software (e.g. Power BI,
Tableau and OBIEE) and generate a wide variety of outputs (dashboards, scheduled
reports).
(j) The ability to work towards strict and conflicting deadlines, be able to plan and
prioritise in an environment with multiple stakeholders.
(k) Good interpersonal skills, a detail-oriented & flexible person who can work across
different areas within the team.
(l) Familiarity or experience with health informatics would be preferred.
(m) An understanding of healthcare data governance, data acquisition and data
management would be an advantage.
(n) Experience in interacting with analytics stakeholders (economists, statisticians,
clinicians, policy makers) on a business or domain level would be preferred.
1.1.3 Cloud Exposure (AWS):
(a) Strong knowledge and practical experience with AWS.
(b) Familiarity with modern cloud application architecture.
(c) Exposure to cloud managed services and microservices like Function as a Service,
Containers, and managed databases.
(d) Experience with setting up load balancers, cloud networks, and virtual servers.
(e) Infrastructure as code (IAC): Cloud formation, terraform.
(f) AWS identity and access management, integration with active directory.
(g) Familiarity with security and access control measures to control privileged access to test
and production environment.
(h) Certification in AWS Cloud Practitioner or AWS Architectation, terraform."

Responsibilities:

· Engage with clients to understand their business objectives, challenges, and requirements related to AI and Data solutions.

· Conduct discovery sessions to gather relevant information and identify opportunities where AI, LLM and Data Platforms can add value.

· Utilize knowledge of Data & AI capabilities to create compelling demonstrations tailored to client needs. Showcase how AI/LLMs can address specific use cases and deliver tangible business outcomes.

· Lead the execution of Proof of Concepts to validate the feasibility and effectiveness of solutions in addressing client requirements. Define success criteria, design POC workflows, and oversee the implementation process.

· Provide expert guidance and consultation to clients on technical aspects of Data Platforms, AI platforms, LLM technologies, fine-tuning methodologies, and model quantization techniques. Address client queries, offer insights, and recommend best practices of AI and Data Platforms

· Work closely with sales teams to support the development of winning proposals and presentations.

· Stay updated on industry trends, emerging technologies, and advancements in AI and Data domains. Share knowledge internally through training sessions, workshops, and documentation to empower sales teams and enhance organizational expertise.

· Cultivate strong relationships with clients, fostering trust and confidence in the capabilities of Data and AI platforms. Act as a trusted advisor, understanding their evolving needs and aligning solutions accordingly.

Responsibilities:

• Lead day-to-day demand generation and performance campaigns for B2B clients.
• Conceptualise, plan, and operate demand generation and lead generation campaigns through test and learn approaches.
• Develop marketing automation programs, including building email nurture logic, lead qualification/scoring processes through the marketing funnel.
• Manage email marketing programs and website CMS builds.
• Implement campaigns across social media platforms (Facebook, Twitter, Instagram, LinkedIn, etc.) and advertising (display, SEM, social advertising, etc.) from setup, optimisation to reporting.
• Contribute to building our performance offerings and capabilities across email, CRM, display, search, and social.
• Provide sound counsel to internal stakeholders and external clients.
• Execute solid project management and time management skills in managing multiple briefs.
• Manage content production delivery required for demand generation campaigns, including but not limited to thought-leadership articles, whitepapers, sales toolkits, customer case studies, and other high-value asset development.
• Stay abreast of inspiring, cutting-edge trends and developments in digital or client industries.
• Contribute to new business development processes and organic client growth.
• Proactively improve processes, operations, best practices, and address emerging issues.
• Design, monitor, and report on measurements and KPIs on client’s dashboard such as Google Data Studio.

Qualifications:

• Minimum 2 years of experience in social media, media, advertising, or B2B digital marketing-related fields.
• Possess data-driven qualities; detailed understanding of analytics across channels with the ability to synthesize data from many sources into actionable insights.
• Good understanding of Google Analytics; knowledge in Adobe Analytics, Adobe Experience Manager is a plus.
• Experience in Account-Based Marketing (ABM) or account-based marketing platforms such as Demandbase is a plus.
• Basic knowledge of SEM, SEO, CRM, and CMS.
• Strong interest in performance marketing.
• Integrated thinking and ability to connect digital channel ecosystems.
• Able to adapt to new conditions and a fast-paced environment.
• Self-motivated and self-starting personality.
• Enjoys diverse and multi-cultural working environment.
• Able to work both independently, as part of a team, and with senior leaders.
• Capable of managing multiple tasks concurrently in a deadline-driven process.

• Be part of a team to build and maintain data systems or pipelines.
• Perform setup, installation, configuration, troubleshooting and/or upgrade for COTS products.
• Develop or implement ways to improve data warehouses, data lakes or equivalent platforms.
• Involve in the creation of documentations e.g. design documents, troubleshooting guides etc.

Requirements

Education / Experience:

Diploma/Degree in Computer Engineering/Computer Science/Information Technology or related technical discipline

Preferably 1 - 4 years' of working experience in related fields.

Skill Sets:

Knowledge and/or experience in data management or data engineering

Experience with Linux commands and shell script

Knowledge and/or experience in relational (including SQL) or NoSQL database (e.g. document, graph)

Knowledge and/or experience in one or more of the following will be an advantage:

• Data / Search / Automation platforms such as Hadoop, Elasticsearch, Ansible respectively
• Data integration tools such as Talend, DataStage, Denodo
• Programming languages such as Python, Spark
• Microsoft Azure Cloud services such as Azure Data Factory, Azure Synapse Analytics
• Analytics platforms such as Databricks, Dataiku, Data Robot

Good problem-solving skills

Able to work independently and as a team

Maltem Singapore is currently seeking Data Engineers for our Wealth Management Client.

Summary:

The successful candidate will be involved in the creation of solutions for Data Services automation.

Skillset Requirements:

• Possess a degree in Computer Science/Information Technology or related fields.
• Proficient in Python
• SQL
• PL/SQL
• CICD.
• Familiarity with Data Warehouses such as Snowflake AND Oracle.
• Strong analytical and problem-solving skills.
• Good team player and communication skill.

Good-To-Have:

• Denodo

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Responsibilities: As a BI Engineer, you will be responsible for developing and maintaining the Microstrategy setup within the overall Data Platform. The engineer must be able to discuss requirements with the clients and support in setup and issue rectifications.

Top 3 skills (must have)
1. MicroStrategy Business Intelligence
2. ETL Pipelines
3. Data Modeling Techniques and Methodologies , strong MSTR knowledge

Location:

Macpherson

Working Hours:

12.30pm - 9.30pm (M-F), 12.30pm - 6pm (S)

Salary:

$1700

Job Scope for Lab Assistant:

• Follow all laboratory protocols and policies in checking specimens (e.g. blood, stool, urine, etc) received & make sure that names tally with the request forms for testing.

• Assist in the care and maintenance of lab work area, furnishings & equipment.

• Follow test requirements of reference laboratory & procure appropriate specimen for testing.

• Perform bar coding samples & processes laboratory specimens received from patients under prescribed laboratory guidelines.

• Utilize lab information system (LIS) to register patients, retrieve results & print reports.

• Maintains adequate level of supplies in the work area.

• Receives requested stock items & distributes them to the appropriate place within the laboratory

• Aliquoting of urine samples

Job Scope for Data Entry Assistant:

• Enter patient’s information & order laboratory tests into the Laboratory Information System (LIS).

• Recognize & correct inaccurate or missing information on the laboratory requisitions

• Communicate with clients, co-workers & management.

• Perform other duties, e.g. assists with specimens reception, as assigned.

Requirements:

Min. N or O level

No experience needed

WA me at https://wa.me/+6584998483 NOW!

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

JeAnn Leow

Outsourcing Team

Recruit Express Pte Ltd (EA Licence No.: 99C4599)

To process the following requests received from policyholders:

• Policy loan and surrender
• Change of address and contact
• Preparing documents for scanning into imaging system

Job assigned includes:

• Checking of completeness of documents submitted
• Checking of eligibility of application
• Typing of letters
• Any other ad hoc duties assigned by supervisors

Joy Yeow Zhi Qian

(CEI Registration No:R2096261)

Recruit Express Pte Ltd (EA Licence No: 99C4599)

Role Summary: The Data & AI Project Manager is responsible for leading data analytics and AI initiatives across both internal and external teams, ensuring that all projects align with the agency’s strategic goals and deliver valuable insights. This role manages the lifecycle of data and AI projects, from planning and development through to implementation and optimization, working with both vendors and internal data specialists.

Key Responsibilities:

• Vendor and Internal Team Coordination:
  • Manage relationships with external data and AI vendors while also leading internal data teams (local or overseas) to align on project priorities, timelines, and deliverables.
  • Facilitate collaboration between internal and vendor teams, ensuring clear roles and responsibilities and efficient information flow.
  • Regularly review and manage the distribution of work between internal teams and vendors to optimize resources.
• Data Strategy and AI Project Management:
  • Develop and drive a comprehensive data and AI strategy, identifying projects that provide the highest business value.
  • Define project KPIs, set clear success criteria, and establish metrics to measure the effectiveness of both in-house and outsourced data/AI initiatives.
  • Ensure alignment of all data initiatives with business needs, prioritizing projects based on their impact on business performance.
• Requirements Documentation and Solution Design:
  • Work closely with stakeholders to capture data requirements and document them into actionable project plans for internal teams and vendors.
  • Provide guidance on technical requirements, data integrity, and quality standards for AI models and analytics projects.
• Quality Assurance and Validation:
  • Oversee quality assurance for data and AI outputs, ensuring deliverables are accurate, reliable, and aligned with strategic objectives.
  • Lead UAT and feedback loops with stakeholders, coordinating with both vendors and internal teams for adjustments and refinements as needed.
  • Implement validation processes to confirm the accuracy of insights, allowing business teams to confidently apply findings.
• Reporting and Continuous Improvement:
  • Track and report on project outcomes, including impact assessments, user adoption metrics, and ROI for each AI and data project.
  • Encourage knowledge sharing between internal and vendor teams, implementing a continuous improvement process for data practices and AI model accuracy.

• Required skills include 3+ years of experience in the implementation, maintenance and analysis of data center facilities, hardware, communications infrastructure, strategies, tools and effective troubleshooting techniques.
• Basic background on enterprise data center facilities and infrastructure environments such as PDUs, RPPs, network and SAN infrastructures. In depth knowledge on complex, Enterprise class inter-networked environments involving a combination of switched/routed/shared Ethernet, TwinAx (100GigE, 25GigE,10GigE, GigE, 100M, and 10M), token ring, SAN, and wide area connectivity.
• Strong knowledge of WAN technologies (OC-x, DS-x), subnetting and TCP/IP protocol a must.
• Excellent communication and writing skills a must.
• Knowledge of trouble ticketing systems, change control, Project processes and associated tools.
• Logical problem- solving techniques and associated experience in system, data center facilities, and telecommunications.
• Experience with project management.
• Financial Services industry knowledge a plus.

KEY RESPONSIBILITIES

• Installing/de-installing/relocating all distributed systems and network hardware (CSUs, DSUs, routers, switches, encryptors, firewalls, etc.) in the Americas Data Centers within the internal service level mandates
• Installing/de-installing /extending/relocating/testing all carrier circuits to the network hardware
• Installing/de-installing/relocating all patch cabling for systems and network hardware
• Installing/de-installing/relocating all Data Center hardware
• Assist with the coordination of cabinet power, circuit, and patch infrastructure installations w/various facilities, electrical and communications vendors
• Assist with the coordination of network component configurations
• Coordinate and Install SAN cabling infrastructure
• Managing network ports and assist with the management of all consumable items (cables, labels, tie wraps, rail kits, etc.)

Job description

Are you seeking an environment that helps to enhance your overall career and develop your personality?

Our team is expanding and we want someone who strives for more and keen learning mentality.

WHAT DO WE DO:

We are a growing Sales & Marketing company that specialises in face-to-face marketing with accomplished track records. We work with global industries leaders varies industries, providing external source of revenue for our clients and aid them to increase their branding through our expertise.

GET TO KNOW US:

We are a focused team with individuals who aim to exceed expectations and celebrate every little success together. Be part of a team that always that wants to be best!

If you want to be considered for this role, here are what we are seeking for:

- Good student mentality

- Team player- Enthusiast and positive!

- Charming smile

IF YOU ARE KEEN TO EXPLORE MORE, CLICK ON THE APPLY NOW BUTTON NOW!

Overall (10) years of IT / Data Engineering experience.

At least (3) years of relevant experience in:

• Business Requirement Analysis
• Business Process and System Understanding
• Effective Communication with both business and technical users
• Conversant in Microsoft Office products

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

• Azure Data Factory
• Azure Synapse Analytics / Datawarehouse

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
• Python Coding Experience

Required qualifications Bachelors of Engineering

JOB DESCRIPTION

• Define key metrics for governance to ensure compliance with data-related policies, standards, roles, and responsibilities
• Drive Data Governance and Management on an on-going basis through being the chair to the Data Governance Council
• Responsible for defining data policies and standards, managing stakeholder communication and progress reporting to leadership and executives
• Manage and coordinate all key issues and escalations around data governance
• Work closely with Data BP's s to build their engagement and stewardship of data assets
• Collaborate with our Cybersecurity and technology operations teams to implement data governance standards and best practices to improve the quality of data
• Leverage deep experience in the implementation of data governance solutions in such areas as: data quality, data lineage, data glossary, data security management, metadata management, and advanced data analysis solutions
• Write data governance policies, oversee the adoption of data governance efforts, and partner with the legal and information security teams to fulfill Keppel's commitments related to reducing Data Management risks

JOB REQUIREMENTS

• An excellent communicator who can drive the process to govern data at enterprise scale as the role requires close collaboration with senior-level executives (members of DG Councils/C-Suite), business data owners, and stewards
• At least 10+ years of experience in a leadership role related to data
• At least 5 years of experience either in leading a data governance function or being part of a team that managed large-scale data governance initiatives; with expertise in data governance, data quality industry best practices and framework

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

Zenith Infotech is a Tech Recruitment Company in Singapore for the last 27 years. We are looking for a suitable candidate to fill the above position of BI Engineer.

Responsibilities: As a BI Engineer, you will be responsible for developing and maintaining the Microstrategy setup within the overall Data Platform. The engineer must be able to discuss requirements with the clients and support in setup and issue rectifications.

Top 3 skills (must have)
1. MicroStrategy Business Intelligence
2. ETL Pipelines
3. Data Modeling Techniques and Methodologies , strong MSTR knowledge

• Working days: 5 days (Mon - Fri)
• Working hours: 10am - 6pm
• Location: Bukit Merah [Near Tiong Bahru MRT & Redhill MRT]
• Salary: $2000 - $2400

Job Responsibilities

• Manage communication between Sales & Marketing team to ensure all are aligned with product delivery strategy.
• Build rapport with both internal and external stakeholders to ensure projects are delivered on time.
• Conduct internal and market analysis to identify key areas of growth for new products.
• Help build and improve resilient internal processes that will allow the business to scale quickly.
• Issuing invoices and airway bills to customers and counterparts.
• Assist in some packing and labelling for products delivery
• Reply to customer inquiries via email and on social media platforms.

Requirements

• Must have knowledge of appropriate software including Ms word, excel, power point, google etc.
• Possess at least Nitec education

Leong Jia Qi Reg No. : R24124746

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

Responsibilities:

As a BI Engineer, you will be responsible for developing and maintaining the Microstrategy setup within the overall Data Platform. The engineer must be able to discuss requirements with the clients and support in setup and issue rectifications.

Top 3 skills (must have)
1. MicroStrategy Business Intelligence
2. ETL Pipelines
3. Data Modeling Techniques and Methodologies
strong MSTR knowledge

Job Description: Azure Data Engineer

We are seeking a skilled Azure Data Engineer with a minimum of 2 years of hands-on experience in Azure data services. The ideal candidate will play a critical role in designing, developing, and optimizing data pipelines and analytics solutions to support our organization’s data-driven initiatives.

Key Responsibilities:

• Design, develop, and maintain data pipelines using Azure Data Factory.
• Implement and manage data integration and transformation workflows.
• Build, optimize, and maintain scalable data solutions using Azure Synapse Analytics or Azure Datawarehouse.
• Collaborate with cross-functional teams to gather requirements and deliver data solutions aligned with business objectives.
• Ensure data quality, consistency, and reliability across all data processes.
• Monitor, troubleshoot, and improve data workflows for performance and scalability.
• Stay updated on industry best practices and emerging Azure technologies to implement innovative solutions.

Requirements:

• Experience: At least 2 years of hands-on experience with Azure Data Factory and Azure Synapse Analytics/Datawarehouse.
• Certifications: Preferably holds a Microsoft Azure Data Engineer Associate certification or other relevant Microsoft certifications.
• Strong understanding of data integration, ETL/ELT processes, and data modeling.
• Familiarity with Azure cloud ecosystem and services (e.g., Azure Storage, Azure SQL Database).
• Solid experience with SQL for querying and managing data.
• Strong problem-solving skills and the ability to work independently or in a team environment.
• Excellent communication and interpersonal skills for effective collaboration with technical and non-technical stakeholders.

Preferred Qualifications:

• Experience with data governance, security, and compliance in cloud environments.
• Knowledge of scripting languages (e.g., Python, PowerShell) for automation.
• Familiarity with big data tools and frameworks within Azure.

Senior Data Scientist

In view of business expansion, our client is seeking a Senior Data Scientist based in Singapore. The Data Scientist will design, build and execute machine learning techniques on large, complex, structured / unstructured data sets to find out hidden patterns and predictive signals.

The Responsibilities:

• Identify use cases allowing to take advantage of GenAI & Machine Learning capabilities
• Define data science approaches that fit with clients’ business challenges, using state-of-the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner.
• Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns and predictive signals on large data sets
• Interact with business stakeholders to understand business data and analytics requirements and identify data-driven business opportunities
• Responsible for explores information from multiple diverse sources, analyzing data and gain insights into business intelligence that is actionable
• Identify and uncover new opportunities, insights, trends, and patterns from analysis to key stakeholders/decision-makers
• Stay up-to-date with the latest data science and data engineering techniques and tools
• Deploy ML models into production (either alone or working with data engineers if necessary)

The Requirements

• Degree in Computer Science, Computer Engineering or a related field
• Over 5 years expertise in Data Science
• Good applied skills with statistical programming languages such as R, Python (NumPy, pandas), SAS, SPSS etc.
• Experience with machine learning frameworks (e.g scikit-learn, Spark MLlib, Caffe, TensorFlow) and/or data science platforms (e.g. SAS, Dataiku)
• Experience of ML and LLM libraries and tools such as MLFlow, Langchain to develop GenAI applications, model experimentation and basic UI development with libraries such as Gradio or Streamlit.
• Experience with No-Code/Low-Code GenAI tools such as Langflow, Flowise, Rivet
• Data-oriented background in SQL, data wrangling and data modelling
• Exposure to data visualization tools and/or charting libraries (eg. Tableau, Qlik, D3.js, GGplot)
• Familiar with deploying Data projects into cloud (e.g Azure, AWS, GCP)
• Team player with good interpersonal and problem solving skills.
• 2 positions available

Office Location: East

Kindly indicate your current/last salary details and also your notice period

Interested candidates kindly forward your CV to [email protected] (Dorothy Ma Li, Reg No: R1769176). Feel free to forward this great opportunity to someone who would be a great fit for this role.

All information will be kept strictly confidential. We regret to inform that only successful applicants will be contacted.

PeopleSearch Pte Ltd

EA License No: 16S8057

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction

Job Description

- Preparation of documents (e.g. order processing, verifying payment, delivery orders).
- Liaise with various stakeholders to ensure smooth delivery.
- Data entry and maintenance of database.
- Maintain and update sales records and ensure files are backed up.
- Assist in new IMS (Inventory Management System) Implementation.
- Provide administrative support to sales team.
- Assist in monthly sales closing.

Job Requirement

- Good interpersonal skills
- Proficient in MS Office Suite
- Experience in data entry is preferred

Interested applicants pls send in a copy of your resume with your current, expected salaries and availability in Microsoft Word format to Low See Wei (R1551122) for immediate processing.

Kindly indicate in your email subject title as "Job Application for 19359 Sales Admin Assistant (Temporary 6 month, Sale Coordinator, Data Entry) SW228"

Only shortlisted candidates will be notified, other applications will be updated to our database for future job opportunities

Thank you.

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