Job Description:

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
• Solve complex data problems to deliver insights that help the organization achieve its goals.
• Code in Python with tools like Apache Spark to build a multi-cluster data warehouse.
• Interact with other technology teams to define, prioritize, and ensure smooth deployments for other operational components.
• Advise, consult, mentor, and coach other data and analytics professionals on data standards and practices.
• Foster a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytical solutions.
• Codify best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to facilitate data capturing and management.
• Strong experience in mapping attributes, data profiling, data cleansing, and technical data quality etc.
• Strong experience in Ansi SQL and in-depth knowledge with structured, semi-structured & unstructured data.
• Must have good knowledge of data lake and working experience of migration projects in cloud with providers like AWS or Microsoft AZURE or GCP.
• Good to have experience in working with No SQL, Spark SQL using AWS Glue, EMR, and columnar data store.
• Good to understand data security features like data masking, data encryption, role based & fine grain access control mechanisms etc.

Qualifications:

• 3+ years of relevant experience in data engineering/analytics space.
• Expertise in SQL and data analysis and strong hands-on expertise with at least one programming language: Python.
• Strong knowledge in one or more of the following big data tools: Hive, Hadoop Impala, Spark, Kafka.
• Strong expertise in ETL, reporting tools, data governance, data warehousing, and hands-on experience.
• Experience developing solutions for cloud computing services and infrastructure.
• Experience developing and maintaining data warehouses in big data solutions.
• Up to date on industry trends within the analytics space from a data acquisition processing, engineering, and management perspective.
• Experience in agile development.
• Strong people skills, specifically in collaboration and teamwork.
• High level of curiosity, creativity, and problem-solving capabilities.

Job Description:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

Responsibilities

• Perform operation, installation, and monitoring of big data platforms
• Ensure the reliability and normal operation of multiple core systems for big data and online computing, resolving issues within the agreed SLA
• Evaluate infrastructure requirements for deployments and upgrade activities
• Develop and maintain technical documentations related to design, configuration, troubleshooting, backup, DR, etc
• Ensures deployment and operations of the data platform comply with prevailing security, regulations and audit requirements
• Provide recommendations on data governance practices and in-depth optimizations best practices

Requirements
• primary skillset: DevOps and system engineers in Unix
• Solid computer software basic knowledge; understand Linux operating system, storage, network IO and other related principles
• Familiar with one or more programming languages, such as Python/Go/Java/Shell/Ansible
• Experience with Cloudera, Informatica, or Denodo and its runtime components would be highly advantageous
• Relevant computing/distributed/big data system experience (Hadoop/HDFS/Kubernetes/Docker/OpenStack/Hadoop/Spark/Flin etc.)
• Good data structure and system design skills
• Good knowledge of information security

Next Step

• Prepare your updated resume and expected package.
• Simply click on 'Apply here' or email to [email protected] to drop your resume
• All shortlisted candidates will be contacted.

Tamanna Bilandi

EA Licence No. 91C2918

Personnel Registration No. R2096241

• Bachelor degree in Computer Science/Information Technology or related field with minimum 3 years experience
• Strong hands-on experience in Oracle PL/SQL and Informatica PowerCenter
• Strong hands-on SQL skill in any RDBMS
• Experience in the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies such as Scrum and Kanban
• Agile, fast learner, and able to adapt to changes
• Good team player, with strong analytical skill and enjoy complex problem-solving.
• Experience in dbt Core or Snowflake will be an added advantage

Data scientist roles and responsibilities include:

• Data mining or extracting usable data from valuable data sources
• Using machine learning tools to select features, create and optimize classifiers
• Carrying out the preprocessing of structured and unstructured data
• Enhancing Data Collection procedures to include all relevant information for developing analytic systems
• Processing, cleansing, and validating the integrity of data to be used for analysis
• Analyzing large amounts of information to find patterns and solutions
• Developing prediction systems and machine learning algorithms
• Presenting results in a clear manner
• Propose solutions and strategies to tackle business challenges
• Collaborate with Business and IT teams

Skills:

• Programming Skills – knowledge of statistical programming languages like R, Python and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
• Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
• Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
• Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
• Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.
• Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data
• Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
• Strong Software Engineering Background
• Hands-on experience with data science tools
• Problem-solving aptitude
• Analytical mind and great business sense
• Degree in Computer Science, Engineering or relevant field is preferred
• Proven Experience as or Data Scientist

Requirements:

· Proficient in Python, SQL, PL/SQL, and CICD.

· Familiarity with data warehouses such as Snowflake and Oracle.

· Strong analytical and problem-solving skills.

· Good team player and communication skill.

Skillset (Good to have)

· Familiarity with Denodo

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Role & Requirements :

• Strong hands-on experience in Oracle PL/SQL and Informatica PowerCenter.
• Strong hands-on SQL skill in any RDBMS.
• Experience in the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies such as Scrum and Kanban.
• Experience in dbt Core or Snowflake will be an added advantage.
• Agile, fast learner, and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem-solving.

SKILLS: Oracle, Pl/SQL, Informatica, PowerCenter, Snowflake

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Position Overview:

We are seeking an experienced Data Architect to lead the design and implementation of advanced data solutions for our clients strategic financial services initiatives. The ideal candidate will have a deep understanding of structured finance, asset-backed lending, and expertise in modern cloud-based data architectures, particularly on Azure. This role requires exceptional skills in data modeling, analytics, and governance to enable the organization to leverage data for decision-making, innovation, and operational excellence.

Key Responsibilities:

1. Data Architecture Design:

• Develop and implement scalable, secure, and robust data architectures to support structured finance operations, including credit analysis, loan servicing, and portfolio management.
• Design data models and solutions aligned with Azure data services to optimize performance and reliability.

2. Cloud-Based Solutions Development:

• Architect and implement cloud-native data solutions leveraging tools such as Azure Data Factory, Azure Synapse Analytics, and Azure SQL Database.
• Optimize the use of Azure Data Lake, ensuring secure storage, accessibility, and management of structured and unstructured data.

3. Data Integration and Pipeline Management:

• Design and manage ETL/ELT pipelines for seamless data ingestion, transformation, and integration across systems.
• Ensure real-time and batch data processing capabilities to support financial operations and analytics.

4. Data Governance and Compliance:

• Establish and enforce data governance standards, ensuring compliance with regulatory frameworks and industry best practices.
• Implement robust data security measures to protect sensitive financial information in line with GDPR and MAS regulations.

5. Analytics and Reporting Enablement:

• Collaborate with business teams to design dashboards and visualizations for actionable insights, using tools such as Power BI or Tableau.
• Support advanced analytics and machine learning initiatives for risk assessment and portfolio optimization.

6. Collaboration and Stakeholder Management:

• Work closely with cross-functional teams, including business stakeholders, data engineers, and analysts, to align data strategies with business goals.
• Lead technical discussions, provide mentorship to junior team members, and manage vendor relationships.

7. Continuous Innovation:

• Stay updated on emerging trends in data architecture, cloud technologies, and financial services to recommend cutting-edge solutions.
• Identify opportunities to enhance data operations through automation and AI-driven insights.

Qualifications and Skills:

Experience:

• 8+ years of experience in data architecture, with at least 3 years in the financial services domain, focusing on structured finance and lending.
• Proven experience with Azure cloud technologies for data storage, processing, and analytics.

Technical Expertise:

• Proficiency in Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL.
• Strong skills in data modeling, ETL/ELT design, and working with structured and unstructured datasets.
• Hands-on experience with big data frameworks and analytics tools like Power BI, Tableau, or similar platforms.
• Domain Knowledge:
• Understanding of credit evaluation, deal structuring, and regulatory requirements in the financial services sector.
• Familiarity with risk management frameworks and financial performance metrics.

Soft Skills:

• Strong communication and stakeholder management skills, with the ability to translate technical concepts into business value.
• Analytical mindset with attention to detail and a passion for problem-solving.

Preferred Certifications:

• Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect.
• Certifications in data management or analytics, such as CDMP or equivalent.

What We Offer:

An opportunity to work on impactful data-driven projects in the structured finance sector.

A collaborative and innovative environment focused on professional growth and cutting-edge solutions. Competitive compensation and benefits package.

Position Overview:

We are seeking an experienced Data Architect to lead the design and implementation of advanced data solutions for our clients strategic financial services initiatives. The ideal candidate will have a deep understanding of structured finance, asset-backed lending, and expertise in modern cloud-based data architectures, particularly on Azure. This role requires exceptional skills in data modeling, analytics, and governance to enable the organization to leverage data for decision-making, innovation, and operational excellence.

Key Responsibilities:

1. Data Architecture Design:

• Develop and implement scalable, secure, and robust data architectures to support structured finance operations, including credit analysis, loan servicing, and portfolio management.
• Design data models and solutions aligned with Azure data services to optimize performance and reliability.

2. Cloud-Based Solutions Development:

• Architect and implement cloud-native data solutions leveraging tools such as Azure Data Factory, Azure Synapse Analytics, and Azure SQL Database.
• Optimize the use of Azure Data Lake, ensuring secure storage, accessibility, and management of structured and unstructured data.

3. Data Integration and Pipeline Management:

• Design and manage ETL/ELT pipelines for seamless data ingestion, transformation, and integration across systems.
• Ensure real-time and batch data processing capabilities to support financial operations and analytics.

4. Data Governance and Compliance:

• Establish and enforce data governance standards, ensuring compliance with regulatory frameworks and industry best practices.
• Implement robust data security measures to protect sensitive financial information in line with GDPR and MAS regulations.

5. Analytics and Reporting Enablement:

• Collaborate with business teams to design dashboards and visualizations for actionable insights, using tools such as Power BI or Tableau.
• Support advanced analytics and machine learning initiatives for risk assessment and portfolio optimization.

6. Collaboration and Stakeholder Management:

• Work closely with cross-functional teams, including business stakeholders, data engineers, and analysts, to align data strategies with business goals.
• Lead technical discussions, provide mentorship to junior team members, and manage vendor relationships.

7. Continuous Innovation:

• Stay updated on emerging trends in data architecture, cloud technologies, and financial services to recommend cutting-edge solutions.
• Identify opportunities to enhance data operations through automation and AI-driven insights.

Qualifications and Skills:

Experience:

• 8+ years of experience in data architecture, with at least 3 years in the financial services domain, focusing on structured finance and lending.
• Proven experience with Azure cloud technologies for data storage, processing, and analytics.

Technical Expertise:

• Proficiency in Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL.
• Strong skills in data modeling, ETL/ELT design, and working with structured and unstructured datasets.
• Hands-on experience with big data frameworks and analytics tools like Power BI, Tableau, or similar platforms.

Domain Knowledge:

• Understanding of credit evaluation, deal structuring, and regulatory requirements in the financial services sector.
• Familiarity with risk management frameworks and financial performance metrics.

Soft Skills:

• Strong communication and stakeholder management skills, with the ability to translate technical concepts into business value.
• Analytical mindset with attention to detail and a passion for problem-solving.

Preferred Certifications:

• Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect.
• Certifications in data management or analytics, such as CDMP or equivalent.

What We Offer:

An opportunity to work on impactful data-driven projects in the structured finance sector. A collaborative and innovative environment focused on professional growth and cutting-edge solutions. Competitive compensation and benefits package.

Responsibilities

• Design, build, and optimize scalable data pipelines using Scala and Hadoop frameworks.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Write and optimize complex SQL queries for efficient data retrieval and transformation.
• Troubleshoot and resolve performance issues in queries and data workflows.
• Manage Hadoop-based data infrastructure, including HDFS, Hive, and related components.
• Monitor system performance and optimize resource utilization in a distributed environment.

Skills/Requirement

• Proficiency in Scala programming and functional programming principles.
• Strong SQL skills, including query optimization and database design.
• Hands-on experience with Hadoop ecosystem tools (HDFS, Hive, YARN, MapReduce).
• Familiarity with other big data tools like Spark, Kafka, or Flink is a plus.
• Strong analytical skills with the ability to troubleshoot and resolve complex data issues.
• 6+ years of experience in data engineering, big data technologies, or a similar role.

Interested candidates, who wish to apply for the above position, please send in your resume to: [email protected]

PERSOLKELLY Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R23118975 (ABDUL RAHMAN ANSARI RAJA)

We regret to inform you that only shortlisted candidates will be contacted.

**********************************

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

**********************************

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $10,000 per month

Responsibilities:

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

Requirements:

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

For interested applicants, please click "Quick Apply”

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

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

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

We are the largest global sales and 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.

Your role :

- Create brand awareness to customers

- Drive marketing campaigns via face to face interactions

Rewards :

- Travel opportunities - regional and international

- 1 to 1 Coaching Provided

- Great exposure that improves people

- Positive and friendly team environment

- Uncapped Earnings

- Weekly payout

Find out more with us!

Technology is an inextricable part of our society; it greatly improves our lifestyle and virtually exposes us to information from all corners of the world. However human interaction still remains vital in our digital world where technology should be used to facilitate, not replace.

Sales and Marketing is indispensable in all businesses; it is a vital aspect in ensuring company growth and hence, demand in this industry is endless.

We pride ourself on creating the personal, face-to-face sales experience for customers, adding in the touch of warmth unlike what you may receive from above the line marketing. This in turn helps Brands to reach out to untouched potential market and increase their market share and brand awareness.

Being at the apex of this industry is our drive as we believe in the quality of our people. We provide strategic solutions to clients for them to flourish and prosper in their industry, while at the same time building on our peoples’ portfolio in diverse industrial knowledge.

We believe that a human’s potential is limitless. We are looking for individuals who are keen to learn and break free of the limits they have in the mundane work cycle.

What you will do:

· Represent clients’ products and provide the most suitable package to customers based on their needs

· Monitor brand evolution and competitors’ pricing

· Build customer relationships and organize daily work schedule to call on existing or potential sales outlets

· Attend product trainings and upskilling topics

· Provide solutions and ideas to assist company’s growth and expansion

Requirements:

· Minimum 17 Years Old

· Strong interpersonal and communication abilities

· Motivated and self-discipline

· Adaptable in a fast-paced, dynamic environment

· Able to work well with detailed information

· Willingness to learn all aspects of business operations work

Time waits for no one. If not now, when?

The Opportunity:

• Our client, Government Science Agency
• Great learning exposure, training provided!
• Basic Salary: Up to $3,000 (Based on experience)
• Working hours: 9AM - 9PM, assigned as per shift
• Multiple vacancies available!

Job Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers.
• Monitor basic equipment/process errors and perform recovery.
• Work with parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.

Job Requirements:

• Proficient in operating semiconductor equipment and basic troubleshooting.
• Experience in semiconductor manufacturing or wafer processing is a plus.
• Able to transport wafers in cleanroom and coordinate logistics.
• Independent, responsible, and able to work in a team.

Next Step:

• Prepare your updated resume
• Simply click on 'Apply here' to drop your resume.
• All shortlisted candidates will be contacted.
• Please note that this is a contract position

Jason Ng
Direct Line: 6697 7967
EA License No: 91C2918
Personnel Registration Number: R23113333

Job Summary

The candidate is required to perform a broad range of functions within a warehouse distribution environment, including receiving bulk and component items, inventory storage, inventory picking against sales orders, material packing, box labeling, and shipping functions to domestic and international locations.

Candidate must be able to:

• Conduct work in a professional, safe, and hazard free manner.
• Perform work-at-height (6 meters) using man-up lifter with safety PPE worn.
• Carry out wood creating process during packaging.
• Lift 15 kg of inventory parts.

Duties and Responsibilities:

• Inbound - Receiving of bulk and component items; identification of non-conforming cargo and handling requirements.
• Outbound –Picking and packing against sales orders including special packaging.
• Inventory management – inventory cycle count process.

Knowledge and/or Skills:

• Operate warehouse appropriate material handling equipment: reach-truck (stacker), pallet jack, vacuum-lifters etc.
• Operate barcode scanning and labeling equipment.
• Truck load/unload.
• Maintain warehouse cleanliness.
• Independent with good interpersonal and communication skills.
• PC skills with basic knowledge of Windows.

Education/Experience

• Secondary education or equivalent.
• Candidates without a forklift license or prior warehouse experience will also be considered.

Summary: To deliver projects, enhancements and support BAU as an IT Business Analyst throughout the entire lifecycle, working closely with various stakeholders from Business and IT.

Responsibilities

• Gather, document and analyze user requirements.
• Estimate, plan and track all user requests.
• Clarify requirements and manage scope and stakeholder’s expectation.
• Liaise with source system SMEs to understand the business logics of the data and translate them into Source to Target Data Mapping document.
• Analyze source data and provide inputs on the handling of data anomalies.
• To work closely with the various Business and IT stakeholders to deliver projects, enhancements and day-to-day BAU activities.
• Prepare SIT test plan, write and execute SIT test cases and test scripts, manage defects and support UAT.
• Highlight and report any potential risks.

Skills Requirement

• Bachelors Degree in Computer Science/IT /Engineering/related discipline.
• 5-7 years of experience as a business analyst in building a Data Warehouse or Data Mart, ideally for Banking/Insurance domain.
• Ability to write complex SQL scripts, test cases and perform high quality testing.
• Strong analytical and communication skills.
• Good attitude and self-driven, able to plan and execute projects/deliveries with minimal supervision.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $10,000 per month

Responsibilities:

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

Requirements:

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

For interested applicants, please click "Quick Apply”

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

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

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

Summary: To deliver projects, enhancements and support BAU as an IT Business Analyst throughout the entire lifecycle, working closely with various stakeholders from Business and IT.

Responsibilities

• Gather, document and analyze user requirements.
• Estimate, plan and track all user requests.
• Clarify requirements and manage scope and stakeholder’s expectation.
• Liaise with source system SMEs to understand the business logics of the data and translate them into Source to Target Data Mapping document.
• Analyze source data and provide inputs on the handling of data anomalies.
• To work closely with the various Business and IT stakeholders to deliver projects, enhancements and day-to-day BAU activities.
• Prepare SIT test plan, write and execute SIT test cases and test scripts, manage defects and support UAT.
• Highlight and report any potential risks.

Skills Requirement

• Bachelors Degree in Computer Science/IT /Engineering/related discipline.
• 6-9 years of experience as a business analyst in building a Data Warehouse or Data Mart, ideally for Banking/Insurance domain.
• Ability to write complex SQL scripts, test cases and perform high quality testing.
• Strong analytical and communication skills.
• Good attitude and self-driven, able to plan and execute projects/deliveries with minimal supervision.

Job Description:

• Cold Chain Company
• Salary up to $2000 + transport allowance
• Benefits: AWS + 3 mths VB + Medical benefits
• Working Days: 5.5 days alt Saturday
• Working Hours: (Mon-Fri) 8.15am – 5.15pm / (Alt Sat) 8.15am – 12.45pm
• Working Location: West

Job Responsibilities:

• Prepare and issue gate passes for incoming and outgoing cargo/containers.
• Perform general clerical tasks, including filing, photocopying, scanning, and organizing documents.
• Handle customer orders promptly via email and phone.
• Update and print Receipt Notes and Delivery Notes in system daily.
• Collaborate with operations staff to coordinate and fulfil customer orders effectively.

Requirement:

• Min 1-year relevant experience in logistic coordinator
• Good communication skills with internal staff
• Singaporean only

For consideration, kindly submit your CV by clicking “APPLY NOW”

*Or email your resume to [email protected] *

*Only shortlisted candidates would be notified**

MTC Consulting Pte Ltd | 15C7752

EA. Registration No.: R22106554 | Lavonne Lai Nai Xiang

Helmut Schroeder is a pioneering intellectual property (IP) management company dedicated to acquiring, managing, and maximizing the value of our rights portfolio. We use data-driven insights and innovative strategies to uncover opportunities in the IP market, enabling artists and investors to thrive in the ever-evolving creative industry.

We are seeking a skilled and passionate Data Scientist to join our team. This role will play a crucial part in driving data-informed decision-making in an exciting and dynamic domain.

Key Responsibilities

As a Data Scientist, you will:

• Develop and implement models to analyze the financial performance and future potential of IP assets.
• Use machine learning and statistical techniques to predict trends in IP valuation.
• Integrate and clean data from diverse sources, including streaming platforms, social media, financial reports, and licensing agreements.
• Collaborate with cross-functional teams, including investment analysts, legal experts, and software developers, to design and deploy analytics solutions.
• Build dashboards and visualization tools to communicate insights effectively to stakeholders.
• Identify market patterns and trends to inform strategic decisions around acquisitions and portfolio management.
• Stay current with the latest developments in data science and the creative industry to bring innovative solutions to the company.

Qualifications

Technical Skills:

• Programming Languages: Proficiency in Python for data analysis and modeling.
• Data Manipulation: Experience with DynamoDB/SQL and working with large, complex datasets.
• Machine Learning: Familiarity with libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
• Statistical Analysis: Strong foundation in statistical modeling, hypothesis testing, and predictive analytics.
• Big Data: Familiarity with distributed data systems like Hadoop, Spark, or cloud-based data warehouses (e.g., BigQuery, Snowflake).

General Requirements:

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. A Master's/PhD is a plus.
• 2+ years of experience in data science, preferably in media or financial domains.
• Strong problem-solving skills and ability to translate business needs into technical solutions.
• Excellent communication skills, with the ability to present complex findings in a clear and actionable manner.

Why Join Us?

• Work at the intersection of art, law, data, and investment, shaping the future of Singapore's IP landscape.
• Collaborate with a team of experts passionate about data and innovation.
• Flexible working environment with remote work options.
• Competitive salary and benefits, including opportunities for professional development.
• Make an impact by supporting artists and maximizing the value of their creative work.

Location: Warehouse (Geylang Bahru)
Working Days: Mon - Fri, 5 days (ALT SAT)
Working Hours: 8.30am – 6.00pm
Salary: $1,800 - $2,200 (Depends on Experience)

Admin

• Prepare customer quotations
• Fulfilling orders
• Processing orders to shipment and delivery of orders to customers.
• Responsible to manage customers’ orders and coordinating with colleagues during the entire process.
• Data entry
• Manage sales hotline and follow up on all customer and other sales enquiries
• And other admin matters as assigned by Supervisor

Prerequisites

• On job training provided.
• Minimum of 1-year related experience in related Food wholesale trade will be advantageous
• Proficient in MS office applications

Interested personnel kindly contact WhatsApp: https://wa.me/6592994753 (Marcus)

Tan Meng Liang Reg No: R23115923

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Prefer to be working in a FUN, YOUNG and DYNAMIC team?

We are Expanding and We want you !

WHAT DO WE DO :

With our proven in-house training program, we empower clients to boost their sales revenue and brand visibility through engaging several marketing channels. This involves identifying potential customers, showcasing in-depth product knowledge, and fostering face-to-face interactions with clients and customers

HOW CAN WE EMPOWER YOU :

• Tested and proven suite of solutions/strategies for you to empower your customers
• Positive, Exciting & Supportive Work Environment. Work Hard , Play Harder !
• Personalised 1-on-1 Training and Development
• Buddy support system
• Opportunities for Personal Development (Interpersonal, Understanding of different personalities and more)
• Clear Career Advancement Pathways
• Travel Opportunities (3-4 times a year based on performance)

WHAT WE WANT FROM YOU :

• No Prior Experience Required
• Eagerness to Learn and Grow
• Strong Communication Skills
• Team Player Mentality

Job Description:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.