✨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

✨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

✨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

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.

We are seeking a highly skilled, detail-oriented, and analytical Data Management and Reporting Data Analyst to join our team. The successful individual will play a vital role in ensuring the organisation’s compliance with regulatory requirement through accurate and timely data analysis and reporting. He/she will also be responsible for collecting, extracting, managing, and analysing data to provide insights that drive decision-making and enhance the organisation’s operations.

The Challenges:

• Collect, extract, clean and manage data from various sources
• Ensure data accuracy, integrity, and security
• Design, develop and maintain database to efficiently store, manage, and secure structured data for easy retrieval, analysis, and decision-making
• Prepare, review, and submit regulatory reports to relevant authorities
• Monitor changes in regulatory requirements and adapt reporting processes accordingly
• Collaborate with cross-functional team to gather data and report requirements
• Create and maintain comprehensive reports and dashboards
• Perform data analysis to identify trends, patterns, and anomalies
• Interpret data and provide actionable recommendation for process improvement
• Present data insights and communicate findings, results, and recommendations to stake holders
• Develop and maintain documentation of data processing and reporting processes
• Provide insights and recommendation to improve compliance and reporting efficiency
• Continuously improve and automate the data extraction, integration, and database management processes
• Contribute to the development of data related strategy and initiatives
• Provide project management support in IT related projects that the department is involved with
• Carry out any other duties or responsibilities assigned by the Supervisor and/or the Head of Department

What it Takes:

• Bachelor’s Degree in Computer Science, Data Science, Data Analytics, Statistics, or a related field
• At least 2 years of relevant working experience in Data Management and Reporting
• Proficiency in data management tools and software (e.g. SAS, R, MS Excel, MS Access, Python, SQL query)
• Proficiency in data visualisation tools (e.g. Tableau, Power BI, QlikView/Qlik Sense)
• Prior hands-on experience in using OAS/OBIEE to create dashboards and to generate comprehensive reports preferred
• Prior hands-on experiences in UiPath (RPA software) will have added advantage
• Preferably work experience in health-related setting such as hospitals, public health organizations and academic institutions
• Ability to work in a team and independently with minimal supervision
• Work beyond routine work responsibilities and office hours, in the exigencies of services (e.g. during infectious disease outbreaks and mass casualty incident)

Interested Applicants please APPLY HERE or email your resume to [email protected]

Talents@Work Pte Ltd (21C0501)
Sankari Mogan (R24120729)

ViSenze, an AI-powered Commerce Search and Discovery platform, is looking to hire a motivated and experienced Senior Data Scientist

We revolutionize the retail industry with product discovery solutions, processing over a billion monthly queries globally from retailers such as Myntra, Ajio, Meesho, Rakuten, Zalora, Mango, and Target

Our mission is to empower customers to 'See. Style. Shop', and we need you to help us continue to deliver this promise

Responsibilities

• Understand complex real-world problems and leverage domain knowledge to develop reliable models
• Strategize ways of constructing training datasets that are representative, diverse and free of bias
• Continuously review model performance with sharp analytical skills, identify potential issues and improve them iteratively
• Optimize workflows and processes, as well as develop useful tools to boost the efficiency and scalability of routine tasks
• Provide requirements for new or existing internal tools to improve internal analytical capabilities, pipelines and platforms
• Be an expert in communicating insights and recommendations to audiences of varying levels of technical sophistication

• Bachelor’s degree in Computer Science, Electronic Engineering, Statistics, Applied Mathematics, Operation Research, or a related quantitative Bachelor’s or Master’s degree
• At least 2 years of experience with building machine learning and predictive model
• Familiar with Python is a must
• Familiar with essential data science libraries, including Pandas, Numpy, Scipy, Scikit-Learn and Matplotlib
• Sound knowledge of popular deep learning frameworks, such as PyTorch, TensorFlow, MXNet, Caffe, etc
• Strong problem-solving mindset, down-to-earth attitude, passion for machine learning and everlasting curiosity to learn

Good to Have

• Excellent communication skills - able to present their findings and models to senior stakeholders
• Experience in deploying models and systems into production environments
• Knowledge of golang
• Experience with developing Deep Convolutional Neural Networks (CNN)
• Familiar with Software Development Life Cycle (SDLC)
• Fluent in Data Visualization

Roles and Responsibilities:

• Lead the complete lifecycle of data exchange projects, ensuring thorough planning, execution, and ongoing maintenance
• Define project parameters, goals, and expected results in partnership with stakeholders
• Develop and oversee detailed project schedules, budget estimates, and progress benchmarks
• Ensure efficient allocation and coordination of project resources, tasks, and activities to meet deadlines
• Proactively address and strategize against potential risks and obstacles to keep project momentum
• Apply expertise in data exchange technologies such as web services, RESTful APIs, XML, JSON to enhance process efficiencies
• Implement strategies for data mapping, transformation, and validation to ensure the integrity and accuracy of data
• Serve as the main contact for project stakeholders, offering updates and solutions to maintain project alignment and satisfaction
• Facilitate clear and effective communication, organizing stakeholder meetings and workshops to align project goals and requirements
• Leverage sector-specific knowledge, especially in manufacturing, to adapt data exchange solutions that align with business needs and goals
• Fulfill all other duties as assigned by management

Requirements:

• Bachelor’s degree or higher in IT, Computer Science, Engineering, or a related field
• Minimum 3 years of IT project management experience, emphasizing data exchange and integration, with a preference for manufacturing sector experience
• Proficiency in web services, RESTful APIs, XML, JSON, and related data formats
• Experience with integration platforms, middleware, and ETL tools
• Strong communication, collaboration, and stakeholder management abilities

Interested applicants, please Email , and look for

Jensen Fang Lifa

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.

Key Highlights

• Great exposure to the government sector
• Nearest MRT: Labrador Park
• Working Hours: Mon- Fri (office hours)
• Salary:  Up to $3,450 per month
• Contract Duration: 11 months

Key Responsibilities

Data Analytics

• Process raw data using basic Excel formulas and pivot tables.
• Organize and present data visually for analysis.

Tableau Dashboard Management

• Update and refresh existing Tableau dashboards.

Data Projects Support

• Prepare survey forms and consolidate survey data from various sources.
• Clean and organize data for analysis.

Program Operations Support

• Coordinate with stakeholders to ensure timely updates.
• Maintain CRM accuracy and compile data for documentation.
• Organize distribution of materials and logistics for community hubs across Singapore.

Key Requirements

• Only Singaporean!
• Bachelor's degree in Data Analytics, Business Administration, Information Technology, or a related field
• Strong knowledge of basic and intermediate Excel functions (e.g., formulas, pivot tables) to handle data.
• Familiarity with Tableau dashboard development, updating features, and performing data refreshes.
• 1 year of experience in data analytics, program coordination, or a related field is preferred.

Interested candidates please click "Apply Now". We regret to inform you that only shortlisted candidates will be contacted for further discussion.

Venice Kang
Outsourcing Team

BGC Group Pte Ltd

Registration No.: R23117645
EA License Number: 05C3053

SAS Institute Pte. Ltd.

Data Analyst – SAS Data Science AIML Program supported by IMDA Company-Led Training Programme

Roles & Responsibilities

Interested to pursue a career in Analytics?

Digital transformation is happening everywhere, impacting our lives daily. With fast-paced development and adoption in artificial intelligence and machine learning, careers for the future demand for talents with analytical minds. Individual are empowered to make tactical decisions and strategies, by building models that provide accurate, reliable and accessible metrics.

SAS is committed to nurture qualified, capable individuals, and deepening the skills amongst fresh graduates and young working professionals to be future ready. The SAS Data Science AIML Program is IMDA's Company-Led Training (CLT) initiative to recruit and train fresh professionals in Data Analytics, Artificial Intelligence and Machine Learning.

Data analyst role is a path to future roles such as Data Science, AI Developer, ML Engineer, etc. Build your caeer path here by building your skills today for tomorrow's future. Training skills are mapped to TeSA Skills Framework for ICT.

We are currently seeking candidates interested in building a career in Data Analytics.

Why SAS?

SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 80,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®.

This program first started as SAS Business Intelligence and Analytics (BIA) Program in year 2012. It is Singapore’s largest data science and analytics development program supported by IMDA – established over a decade – our curriculum is curated with modules that are constantly updated to meet the latest development and market trends. The program provides in-depth teaching which consists of structured training with assessments, certifications, supervision, and mentorship. As we enter its tenth year, it has since been rebranded as SAS Data Science Artificial Intelligence Machine Learning (AIML) Program to reflect advancement in our training content as well as a greater focus on AIML.

How is the program structured?

Your journey begins at SAS with 4 months of intensive training and assessments to build your knowledge and skills on SAS Programming, SQL, visual analytics, data preparation, machine learning, forecasting and the list goes on. During the course, you will also attain certifications that are globally accredited, where SAS digital badges posted on your social network profiles can be easily verified by anyone via Credly, our digital credentialing program partner. Finally, upon successful completion of your training, you will join one of our partners for a 6-month period, where you can apply what you have learnt and put your skillsets into solving real-world problems.

Skills You will Develop:

· Ability to apply and utilize analytical, statistical, and programming skills to collect, analyze, and interpret large datasets

· Ability to develop and apply custom data models and algorithms to apply to datasets

· Ability to use supervised and unsupervised machine learning techniques to increase and optimize business outcomes

· Ability to design, develop and implement fact-based and data-driven solutions to meet business challenges in the era of artificial intelligence

· Ability to create visualizations and presentations to deliver analytical findings and provide actionable insight

What we are looking for:

· Graduates who can join us from April 2025 OR working professionals who graduated less than 3 years from their degree.

• B.A. or B.S. degree with a quantitative focus in Computer Science, Information Systems, Math, Statistics, Economics, or equivalent training (we will also consider relevant training attained post-graduation such as Diploma in Data Science).
• Experience or proficient in querying and manipulating complex raw datasets for analysis using SQL, Python, or R, exposure to ETL.

· Strong analytical, problem-solving, and critical thinking skills.

· Excellent communication skills.

· Big ambitions to succeed within the IT industry.

· Ability to work autonomously and in a fast-paced environment.

What we offer you:

· Train and be paid on-the-job (monthly remuneration throughout the Program duration) for industry

recognized training and qualifications.

· Globally recognised SAS certifications awarded during the Program duration.

· Live interactive classes – Develop innovative problem-solving capabilities in modern techniques of

data science using a live online classroom through interactive lectures and labs with advanced

course materials provided.

· Access to virtual labs – using SAS high performance software access to develop codes/models

where learning can take place anytime and anywhere.

· Mentorship and access to resources during the program duration.

· Guaranteed OJT with established local enterprises/SAS partners for 6 months so you can gain

hands-on industry project experience and hone your skills.

· Join our network of program Alumni and SAS communities.

We have multiple start dates all year round, so why not make an application today?

Kindly be informed that only shortlisted candidates will be contacted.

Responsibilities:

• Ensure accurate static data maintenance for clients such as creation of client accounts and upkeep client information
• Process closure of client and counterparty accounts
• Conduct name searches as requested by management
• Process e-banking applications / modifications / cancellations for clients
• Manage Hold Mail services provided to clients

Requirements:

• Possess Diploma/Degree with 1-2 years of experience in banking
• Previous experience in static data maintenance for client is highly preferred
• Good knowledge of account documentation requirements
• Basic hands on experience in Excel / Access based automation (e.g. Macros) to improve efficiency would be an advantage

Please state your availability, current and expected salary in the resume.

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | Sarah Kuan | Registration No: R1105359

This is in partnership with the 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 GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

Job description:

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

Requirements:

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

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

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

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

- Implementing Data Quality validation

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

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

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

We are partnering with a leading consulting firm seeking a skilled Data Architect with expertise in Azure and Databricks to design and implement advanced data solutions. In this role, you will collaborate with clients in the insurance sector, helping them optimize data strategies and drive business innovation.

Responsibilities:

• Design, implement, and maintain scalable and secure data platforms using Azure technologies.
• Develop and optimize data engineering pipelines using Databricks for analytics and reporting.
• Collaborate with clients to understand their business needs and translate them into tailored data solutions.
• Implement data governance and compliance frameworks to ensure data quality and regulatory adherence.
• Provide guidance on data architecture best practices to enable performance and scalability.

Qualifications:

• Strong hands-on experience with Azure Data Services (e.g., Data Factory, Synapse Analytics).
• Proficiency in Databricks and modern data engineering practices.
• Prior experience in data architecture within the insurance industry or related fields is advantageous.
• Excellent communication and problem-solving skills to collaborate effectively with diverse teams.

EA: 14S7084 | Registration No:R1981018

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.

Office Location: West

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

We're looking for a driven and enthusiastic individuals to join our team and help drive our growth through direct interactions with potential customers. As a Face-to-Face Marketing Representative, you will be responsible for engaging with potential customers in person to promote our client's products and services through various marketing channels such as Events and roadshows. Your goal will be to enhance brand awareness and bring sales revenue for our clients through direct, personal interactions.

What you can look forward to:

Vibrant and fun working environment

1 to 1 mentorship (No prior experience required)

Travel Opportunities

Career Advancement Opportunities

Competitive salary and performance-based incentives

ARE YOU LOOKING FOR A ROLE THAT REWARDS YOU?

Our Company

We are part of a regional outsource events & marketing company, currently located in certain parts of South Asia. Where we work closely with clients to provide marketing solutions, increases market shares and creating brand awareness.

Our Environment

Here we will provide you a place that fosters innovation, fun and excellence.

You get the freedom to be around people with good vibes, have the time for development and traveling with the company.

Recruiting

We are looking out for potential candidate to join us as Campaign Marketing Representative in our expansion plans.

As long as you are:

• FUN

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

‼️READY TO MAKE A CHANGE? ‼️
We are looking for the next driven, vibrant and talented individual to join us on our journey to SUCCESS

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!

Job Description Summary

Converts business problems to hypotheses and builds, validates, and deploys well packaged models to solve them using a well-defined methodology, statistics and mathematics, domain expertise, consulting, data engineering and modeling.

Job Description

As a Data Expert at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day you will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. Youll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.

Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Job Qualifications

Who You Are

You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.

Required Skills and Experience

• 5+ years of Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
• Collaborate with customers and account partners to identify new Data and AI opportunities, and build proposals and pitch materials to position Kyndryl as a trusted partner for AI & Data transformation
• Organize and lead educational and ideation AI and Generative AI workshops for customers
• Understand customer's needs and assess their data maturity
• Evaluate and recommend appropriate data pipelines, frameworks, tools and platforms
• Lead data feasibility studies and PoC projects to demonstrate the value and viability of Data and AI solutions
• Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit
• Have experience in cloud services of AWS / GCP / Azure to deploy PoCs and pipelines
• Have experience with big data frameworks on prem and on cloud
• Collaborate with AI architects and engineers to data scientist and develop Data and AI solutions tailored to the clients’
• requirements
• Lead integration and deployment of data and AI products
• Stay updated with the latest advancements in big data and GenAI along with best practices to develop thought leadership and PoV
• Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions
• In-depth understanding of big data technologies, streaming applications and data modelling
• Experience working with customers in different industries and understanding their specific challenges and requirements

Preferred Skills and Experience

• Bachelor's degree in computer science, Information Security, or a related field Skilled in planning, organization, analytics, and problem-solving.
• Cloud certifications related to data, analytics and architecture in one of AWS, GCP, Azure
• Kyndryl Confidential
• Excellent communication and interpersonal skills to work collaboratively with clients and team members.
• Comfortable working with statistics.
• Advanced skills in PowerPoint and Excel.
• Strong Business acumen and understanding of industry trends and challenges in Data, AI and Generative AI .
• Strong leadership skills and proactive and self-driven attitude.
• Advanced communication and storytelling skills.
• Highly adaptable and flexible through shifting priorities.

• Newly created role
• International setting & hybrid role
• Trading or commodities industry experience

about the company
My client is seeking a talented Data Engineer to join our team. This hybrid role combines the responsibilities of a data engineer and a data analyst, offering a dynamic environment to develop and implement cutting-edge data solutions. This is a front-facing role requiring collaboration with business stakeholders to deliver impactful data-driven insights.

about the job

• Develop and maintain data pipelines, ETL/ELT processes, and advanced analytics tools.
• Design and optimize relational database models and queries.
• Create interactive dashboards and reports using tools like PowerBI or Tableau.
• Ensure data quality through validation, cleaning, and management processes.
• Expand public market data collection and maintain data freshness.
• Collaborate with business users to gather feedback and iterate on data solutions.
• Contribute to master and referential data management practices.
• Follow software development best practices, including source control and testing.
• Perform other ad-hoc duties as assigned by the manager.

skills and experience required
Minimum 2 years of experience working with large datasets. Proficient in scripting languages such as Python or R, with knowledge of data processing libraries.

Hands-on experience with RDBMS design, querying, and ETL/ELT workflows.

Familiarity with reporting tools like PowerBI, Tableau, or similar. Strong understanding of software development lifecycle and DevOps principles.

The ideal candidate has a background in trading or commodities and at least 2 years of relevant experience.

whats's offer
The permanent role for a Data Engineer will pay a salary range of $ 5,500 to $ 6,500 plus perks from the company.

To apply online please use the 'apply' function, alternatively you can reach me at https://www.linkedin.com/in/Oliviatoh-032330132/. (EA: 94C3609 / R22109942).

Responsibilities:

• Conduct thorough data analysis and implement data-driven solutions to support customer issue troubleshooting, utilizing statistical modelling and machine learning techniques to identify root causes and provide actionable insights for resolution
• Partner with field engineering teams to analyse data from plasma etching systems and provide timely, meaningful and accurate analysis results to support data-driven improvement
• Communicate effectively with both customers and internal teams, present complex data analysis findings or results to stakeholders in a concise, effective and understandable manner
• Develop advance statistical and machine learning algorithms to extract insights from large and complex data sets, and work with internal engineering team to evaluate the effectiveness of the algorithms
• Collaborate with global data engineering teams to share best practices and work on cross-functional projects that require data science expertise
• Manage and maintain the internal analytics solutions, supporting continuous development and implementation, and ensuring that data integrity and accuracy are always maintained
• Develop and conduct training sessions for local engineers on data analytics skills such as JMP and KNIME
• Other duties as assigned

Requirements:

• Bachelor’s or Master’s degree in Microelectronics, Data Science, or a related discipline.
• At least 3 years of experience in the semiconductor industry, including manufacturing equipment, fabrication facilities, semiconductor components, or related fields.
• Demonstrated experience as a Data Scientist within the semiconductor industry, with specific expertise in plasma dry etch processes.
• Expertise in developing and deploying algorithms for process optimization and problem-solving.
• Strong understanding of data analytics, statistical methodologies, machine learning techniques, and predictive modeling.
• Proficient in data science tools and programming languages (e.g., Python, JSL, R) for data processing, visualization, and analysis.
• Strong communication skills, with the ability to collaborate effectively in a team setting and build positive relationships with customers.
• Detail-oriented, organized, and resourceful team player.
• Self-motivated and capable of working independently with minimal supervision.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24994

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We are an affiliated company by common shareholders with Activate Interactive Pte Ltd which company logo appears on the top of this page.

Actxa creates evidence-based, personalizes health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

More information about us: https://www.actxa.com

Actxa is hiring for Senior Data Scientist

Internal Code: AX25002

We are seeking a highly skilled and motivated Data Scientist to join our dynamic team in shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis..

The ideal candidate will directly contribute to improving the health and well-being of the population, reducing healthcare costs, and championing a proactive approach to healthcare.

What will you do?

1. Data Collection, Processing and Preprocessing:

• Collect, clean, preprocess, and wrangle raw digital health data to ensure its quality, integrity, and suitability for analysis and modeling.

2. Data Analysis and Modeling:

• Utilize advanced statistical techniques, artificial intelligence and machine learning algorithms to analyze complex datasets.
• Develop predictive models to identify patterns, trends, and insights for proactive health interventions.

3. Feature Engineering and Model Development:

• Identify and engineer relevant features from diverse healthcare data sources to enhance model accuracy and performance.
• Design, develop, and fine-tune machine learning models for predicting health risks and outcomes.

4. Productization and Code Transfer:

• Follow through toward productization by deploying models into scalable, production-ready solutions.
• Implement data pipelines and automation processes for efficient data processing and extraction.

5. Documentation and Reporting:

• Document research, experiments, modelling techniques, and methodologies followed in projects.
• Provide comprehensive reports and presentations on results, findings, and recommendations derived from data analysis and predictive models.

6. Collaboration and Communication

• Collaborate with cross-functional teams including clinicians, data engineers, and product managers to understand business requirements and align data science initiatives with company goals.
• Effectively communicate complex findings and insights to both technical and non-technical stakeholders.

7. Continuous Improvement and Innovation:

• Stay abreast of the latest advancements in data science, machine learning, and healthcare technologies.

What are we looking for?

• Bachelor or Master degree in Data Science, Biostatistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, Computer Science or related discipline.
• 3+ years of experience in data science, healthcare analytics, or preventive medicine
• Proficiency in programming languages: Python, R, SQL
• Experience with machine learning frameworks: TensorFlow, PyTorch, Scikit-learn
• Good understanding of biostatistics, epidemiology, and research design
• Familiarity with cloud-based platforms: AWS & Ali Cloud
• Experience with wearable device data, signal and noise processing will be preferred.
• Keen interest in Chronic disease prevention, Population health management and Digital health interventions.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Natural tenacity, resilience, and determination.

What do we offer?

• Fun working environment
• Employee Wellness Program

Actxa Pte Ltd is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Actxa Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Actxa Pte Ltd.

Your personal data will be processed for the purposes of managing Actxa Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice ( https://www.actxa.com/privacy-policy ) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

About iNova

iNova is a different kind of health company. We are leading the way to better health by delivering innovative, patient-centric products that improve the lives of people around the world. Our diverse portfolio of iconic, market-leading consumer health brands and prescription medicines are backed by science and distributed in over 75 markets across Asia, Australia, New Zealand, Middle East & Africa and Europe. Experience the iNova difference today.

The Opportunity

We currently have an opportunity for a Data Engineer - Snowflake to based in Philippines or Singapore, to join our Group Technology Team.

Reporting to the Head of IT Strategy, Architecture & Governance, the Data Engineer will be primarily responsible for designing, developing, and optimizing data warehouse solutions with Snowflake. Secondarily, this role will involve supporting the integration of ETL processes using Microsoft tools (Azure Data Factory, LogicApps etc.) into the Snowflake ecosystem.

Knowledge of data visualization through Power BI would also be desirable to ensure provision of available, reliable, and structured datasets from Snowflake for both reporting and analysis purposes.

This role requires extensive knowledge of data engineering processes, data modelling, data warehousing, and business intelligence best practices. A successful candidate will be able to transform complex business needs into efficient, scalable, and secure data pipelines solutions.

Key Responsibilities

Primary - Data Warehouse Development and Management:

• Design and manage data warehouse solutions in Snowflake, ensuring data integrity, optimization, and security.
• Maintain and improve the performance of the data warehouse to meet the reporting and analytical needs of the business.
• Ensure Snowflake environment is optimized to integrate with upstream data-sources.
• Support Data Governance and Quality within the Snowflake environment.

Secondary - Data Integration / ETL and Visualization Support:

• Collaborate with internal and external integration specialists to identify data requirements and co-design data integration solutions.
• Consume output datasets from various internal and external sources into Snowflake as processed using Microsoft tools such as Azure Data Factory and LogicApps.
• Familiarity with other ETL tools such as Alteryx would also be beneficial.
• Ensure that Power BI reports deliver accurate, real-time data insights through providing appropriate reporting datasets.

Collaboration with Business and IT Teams:

• Work closely with business units including finance, marketing, supply chain, and sales to gather reporting requirements and translate them into technical solutions.
• Liaise with data governance teams to ensure adherence to best practices in data management and security.

Documentation and Compliance:

• Maintain documentation for all data pipelines, transformations, and visualizations, ensuring clarity and consistency for both technical teams and end-users.
• Ensure adherence to corporate policies and industry standards related to data security and compliance.
• Previous experience with CSV and GxP requirements would be a plus.

About You

To be successful in this role, you will possess a Bachelor’s degree in Computer Science, Information Technology, or a related discipline, with a minimum of 5 years hands-on experience in data engineering, with a focus on building and managing data warehouses in Snowflake.

Other key requirements for this role include:

• Snowflake Certification (SnowPro Core and/or other Advanced Certifications) a plus but not mandatory.
• Hand-on experience building data-pipelines in Snowflake with SQL and/or Python.
• Hands-on experience with Data Governance in Snowflake including compliance, security, privacy and access
• Ideally, experience with developing data-centric capabilities using Python in Snowpark and/or applications with StreamLit.
• Experience with ETL tools with a focus on Snowflake Integration, particularly within the Microsoft stack (Azure Data Factory & Logic Apps).
• Experience in building datasets to enable reports and dashboards using Power BI.
• Experience with data integration from cloud platforms and various APIs a plus.
• Effective Communication Skills (Written & Verbal).
• Personal accountability for outcomes and providing high-quality service to business users
• A strong work ethic and a well-organized self-starter.
• Optimistic “can do” personality.
• Be open to change and willing to learn new skills.
• An ability to follow up on pending issues and meet deadlines.