Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

Join our Management Trainee Program, where you’ll gain hands-on experience, receive mentorship, and develop the skills to lead our organization into the future.

• Participate in a structured rotational program across key departments to gain in-depth knowledge of business operations
• Work closely with senior leaders and mentors to develop leadership and decision-making skills
• Contribute to critical projects that drive organizational growth and innovation
• Analyze business processes, identify opportunities for improvement, and present actionable recommendations
• Collaborate with cross-functional teams to execute tasks and achieve project objectives
• Interact with clients, stakeholders, and industry experts to understand market dynamics and customer needs
• Tackle real-world business challenges with creativity and strategic thinking
• Fast-track your career into leadership roles upon successful completion of the program

Why Join Us?

• Gain diverse exposure to all aspects of the business in a dynamic and supportive environment
• Receive personalized mentorship and guidance from experienced professionals
• Competitive salary package with clear growth opportunities
• Be part of a forward-thinking organization that values innovation and initiative

REQUIREMENTS

• Minimum Diploma and above
• Strong analytical, problem-solving, and communication skills
• A proactive, adaptable mindset with a willingness to learn
• Demonstrated leadership potential through internships, projects, or extracurricular activities
• Ability to work collaboratively in a team-oriented environment

Kick-start your career with us and unlock your potential to become a future leader. Apply today and take the first step towards an exciting and rewarding journey!

EA Reg. Number: R21100629

EA License Number: 22C1278

Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

Are you passionate about empowering others through learning and development? Join us as a Training Executive, where you’ll design impactful programs, deliver engaging training sessions, and drive professional growth across the organization.

• Collaborate with stakeholders to identify training needs and skill gaps, aligning programs with business objectives
• Design and develop comprehensive training materials, including manuals, presentations, e-learning modules, and assessments
• Conduct engaging in-person and virtual training sessions for employees, ensuring knowledge transfer and skill-building
• Facilitate onboarding programs to help new hires integrate seamlessly into the organization
• Assess training effectiveness through surveys, tests, and performance metrics, using insights to improve future sessions
• Plan, coordinate, and manage the company’s training calendar to ensure timely delivery of programs
• Oversee training budgets and collaborate with external training providers or consultants as needed
• Keep abreast of industry trends, learning technologies, and best practices to ensure training programs remain innovative and relevant

Why Join Us?

• Be a key player in fostering a culture of continuous learning and development
• Enjoy a collaborative and supportive work environment where your contributions matter
• Competitive salary and benefits, with opportunities for professional growth
• Work on diverse training initiatives that make a tangible impact on employees and the organization

REQUIREMENTS

• Minimum Diploma and above
• Excellent presentation, facilitation, and communication skills
• Ability to design and develop training materials that cater to diverse learning styles
• Strong organizational and project management skills
• A proactive, team-oriented mindset with a passion for developing others

Empower growth, inspire learning, and help us build a skilled and capable workforce. Apply today to be part of our exciting journey!

EA Reg. Number: R21100629

EA License Number: 22C1278

Jobs Responsibilities

• Assess and process applications for absolute and collateral assignment, beneficiary nomination and vesting within service, compliance and regulatory standards
• Handle investigation of complex cases from policyholders and financial representatives on assignments and nomination of beneficiary
• Provide strong support in handling enquiries from touchpoints, including policyholders and financial representatives on section cases and processes
• Perform User Acceptance Testing (UAT) for system enhancements and defects
• Review and provide continuous improvement to the section’s processes

Job Requirements

• Min. GCE A Levels/Diploma
• Training on the job provided

Application Procedures

Interested candidates, please email your resume to:

Attention: Lynn Mak Ling Ling (CEI No. R1986990)

[email protected]

Recruit Express Pte Ltd (EA No. 99C4599)

We regret that only shortlisted candidates will be notified.

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

Work location: Islandwide - SG

Work days: Monday-Friday

Work Time: 9am-6pm/10am-7pm

Benefits: AWS, Medical Insurance, AL, MC, HL according to MOM rule and regulations.

Responsibilities:

- Manage the maintenance and daily operations of the DC facilities

- Support service delivery to ensure contracted service level agreements and key performance indicators are met or exceeded.

- Perform routine facilities activities including inventory control. Critical systems checks and functional testing. Able to respond and take action in response to facilities crisis management activities

- Provide technical support to all aspects of data center operations including the operation, maintenance and repair of all mission critical equipment and systems supporting a data center operation and etc.

- Maintain compliance with local workplace safety & health (WHS) standards and local electrical and building codes.

Qualifications:

- ITE/Diploma in Electrical or Mechanical engineering or equivalent qualification

- No experience required as training will be provided

- Team player and fast learner

- General technical and functional knowledge of data center infrastructure

• Working Days: Mon Fri 830am to 530pm
• Location: Ang Mo Kio
• Salary: $1,800

Job Responsibilities:

• Perform data entry tasks with accuracy and efficiency.
• Assist in issuing invoices and managing related documentation.
• Support day-to-day office operations, ensuring smooth and efficient workflows.
• Handle additional administrative duties as assigned.

Job Requirements

• Proficiency in Microsoft Office

Leong Jia Qi Reg No. : R24124746

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

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.

• Desired Candidate Profile Technology Engineering Expertise
• 5 years of experience in implementing data solutions using GCPSQL programming
• Proficient in dealing data access layer RDBMS NOSQL
• Experience in implementing and deploying Big data applications with AWSGCP Big Data Services
• Must have excellent SQL skills
• Experience with different development methodologies RUP Scrum XP Soft skills Able to deal with diverse set of stakeholders
• Proficient in articulation communication and presentation
• High integrity
• Problem solving skills learning attitude
• Team player Key Responsibilities
• Implement data solutions using AWSGCP and need to be familiar in programming with Java
• Ensure clarity on NFR and implement these requirements
• Work with Client Technical Manager by understanding customers landscape

[1 year contract, renewable]

As a Senior Data Scientist within the VICA team, you'll play a pivotal role in shaping the future of citizen engagement through data-driven insights. You'll be responsible for analyzing user interactions, optimizing chatbot performance, and developing advanced functionalities to enhance user experience.

About VICA

VICA (Virtual Intelligent Chat Assistant) is a government-developed platform powering chatbots across various Singaporean agencies. It leverages Natural Language Processing (NLP) and machine learning to provide citizens with convenient access to information and services.

Responsibilities:

· Develop and refine machine learning models to improve chatbot performance in tasks such as intent classification, dialogue management, and sentiment analysis.

· Experiment with different models and algorithms to achieve optimal results.

· Collaborate with engineers to integrate models into the VICA platform.

· Conduct in-depth analysis of VICA interaction data to identify patterns, trends, and areas for improvement.

· Utilize statistical techniques and visualization tools to communicate findings effectively.

· Develop key performance indicators (KPIs) to measure chatbot effectiveness and track progress.

· Apply NLP techniques to understand user queries, extract relevant information, and generate appropriate responses.

· Explore cutting-edge NLP methods to enhance chatbot capabilities.

· Stay up-to-date with the latest advancements in machine learning, NLP, and chatbot technologies.

· Propose and implement innovative solutions to address chatbot challenges and improve user experience.

· Work closely with engineers, product managers, and other stakeholders to ensure that data-driven insights are effectively integrated into the VICA platform

Qualifications:

· Min. Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent experience).

· Minimum 4 years of experience in data science with a focus on NLP.

· Proven experience in data analysis and machine learning with tools including but not limited to: Python and libraries like scikit-learn, TensorFlow, or PyTorch.

· Strong understanding of Natural Language Processing (NLP) concepts and techniques.

· Experience working with real-world, large-scale datasets.

· Excellent communication and collaboration skills.

· Ability to work independently and manage multiple projects simultaneously.

· Passion for innovation and a strong desire to contribute to Singapore's Smart Nation vision.

Digital Procurement Master Data Specialist – Telenor Procurement Company

Telenor Group is the world’s leading telecommunications company across the Nordics and Asia with 211 million subscribers and 81 billion NOK in revenues. We are committed to responsible business conduct and driven by the ambition of empowering societies. Connectivity has been Telenor’s domain for more than 160 years, and our purpose is to connect our customers to what matters most.

Telenor has a leading Nordic position in mobile, broadband and TV services, as well as substantial activities in subsidiaries and joint venture operations, including mobile financial services and online classifieds in the Asia region. Worldwide, Telenor Group and our operations’ teams are 11,000 people strong.

Telenor Procurement Company (TPC), established in 2017 and based out of Singapore, operates as a subsidiary of the Telenor Group. We deliver Global Category Management as a service to the Telenor Business Units and beyond, taking full responsibility for the end-to-end Sourcing process and performance of global spend categories. Functioning as one Global Procurement team across all Telenor markets, we enable Telenor’s strategic ambitions by becoming a centre of expertise in the pursuit of efficient operations. TPC seeks qualified procurement professionals that are comfortable working in a global setup in the fast-paced Telecom field.

For more information, please visit our website (https://www.telenor.com/about/our-companies/other-units/telenor-procurement-company/)

About the Role

As Master Data Specialist, you will work with Senior Manager BI and Master Data to execute data strategy and establish better governance of the group’s procurement master data throughout its lifecycle and ensure that high quality, actionable spend data is provided to the business. You will guide the category teams on how to secure an item’s mastering and data integrity through the end-to-end procurement process. This is partially a new role in the team developing our master data management (MDM) is a key part of improving our global Purchase-to-Pay (P2P) capability. In this role, you will make your mark on Telenor’s journey of digital transformation.

However, the role will work closely with the operational team who is rolling out a common Purchase-to-Pay (P2P) process and solution across all our business units.

Main Responsibilities

Master Data Governance

• Develop and secure implementation of the Master Data Governance across Global Procurement
• Develop and continuously improve lifecycle processes for efficient master data in P2P and Sourcing processes.
• Ensure effective master data governance disciplines for both internal stakeholders across BUs to establish data quality rules and ensure effective data quality program.
• Maintain and update governance documents, ensure alignment across data owners and center of excellence forum.
• Periodic maintenance of MDM portal and ensure information are up to date.

Data Analysis and Tooling Development

• Develop analytic report to be used for Global Procurement.
• Develop TCO benchmark tooling to be used across Global Procurement for the RFQ processes.
• Periodic analysis of spend data quality to ensure accuracy of spend, drive cleansing and process improvement through different forums (central and local category team, P2P, Finance).
• Develop and enhance machine learning scripts to improve spend classification

Project Support

• Assist in the planning and execution of projects aimed at improving operational efficiency.
• Track project milestones and deliverables, ensuring timely completion.

Cross-Department Collaboration

• Build strong working relationships with internal or external customers, other key stakeholders within Global Procurement including P2P team and IT system specialists to develop a shared understanding of MDM requirements, business processes and department inter-dependencies.

Profile

We seek a passionate person in exploring various technology and knowledge has hands-on experience developing solution through various analytic tooling. with harmonizing and improving master data, common information architecture and business processes related to the procurement supply chain functional area.

The following characteristics will be critical to succeed in the role:

• Good understanding procurement process and data especially master data.
• A problem solver capable of dissecting a complicated problem and evaluating it systematically.
• Detail oriented and structured, while at the same time have a good overview and business acumen.
• Passionate about technology and staying up to date on current technology landscape and able to engage in technical discussion.
• A promoter of data science and Artificial Intelligence that can bring AI into procurement landscape.
• An analyst and a programmer yourself that able to develop solution through different tooling involving different technologies.
• Excellent communicator that brings a positive influence even to contentious discussions.
• Self-driven, and ability to adapt to a fast moving and dynamic environment with changes in priorities.
• Interested to evolve along a Data Governance/Data Management career path.

Qualification and Skills Requirements

• University degree within Finance/Accounting, Supply Chain, Business Management, Statistics, Engineering, Economics, Data Science or equivalent
• 2+ years working with applied business intelligence and analytics solutions. Fresh graduates are welcome
• Experience from Procurement/Strategic Sourcing/ Category management/Supply Chain
• Working in a matrix set-up
• Working in an international corporate with both European and Asian footprint
• Hands-on experience with procurement enabling tools such as spend visibility and Coupa P2P.

Proficient in:

• Programming: Python, R
• Analytic: Power BI
• Cloud Platform: Google Cloud, AWS, Azure, Fabric
• O365: Power Automate
• AI: MS Co-Pilot, ChatGPT

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

In this role, you will be responsible developing, implementing, and maintaining data governance frameworks and risk management strategies to ensure the integrity, confidentiality, and availability of our organization's data assets. This role requires understanding of data governance principles, risk management methodologies, and regulatory compliance requirements.

Data Governance Framework Development:

• Develop and implement data governance policies, standards, and procedures to ensure data quality, consistency, and security.
• Establish data governance frameworks and best practices to manage data assets effectively.
• Collaborate with cross-functional teams to define data ownership, stewardship, and accountability.

Risk Management:

• Identify, assess, and prioritize data-related risks and develop mitigation strategies.
• Conduct risk assessments and impact analyses to evaluate potential threats to data integrity and security.
• Monitor and report on data governance and risk management activities to senior management.

Regulatory Compliance:

• Ensure compliance with relevant data protection regulations, such as PDPA, GDPR, and other industry-specific standards.
• Develop and maintain documentation to demonstrate compliance with regulatory requirements.
• Stay up-to-date with changes in data protection laws and regulations and update policies accordingly.
• Provide advises on data related incidents and escalations as necessary

Data Quality Management:

• Implement data quality management processes to ensure the accuracy, completeness, and reliability of data.
• Develop and maintain data quality metrics and dashboards to monitor data quality performance.
• Collaborate with data owners and stewards to resolve data quality issues and implement corrective actions.

Training and Awareness:

• Develop and deliver training programs to educate employees on data governance and risk management principles.
• Promote a culture of data governance and risk awareness across the organization.
• Provide guidance and support to data owners and stewards on data governance best practices.

Stakeholder Engagement:

• Work closely with business units, IT, legal, and compliance teams to ensure alignment on data governance and risk management objectives.
• Facilitate data governance committees and working groups to drive data governance initiatives.
• Act as a liaison between business and technical teams to address data governance and risk management concerns.

Who we are looking for:

Competencies & Personal Traits

• Driven and Self-initiated individual
• Strong stakeholder management
• Strong communication skills, ability to storyline and engage in focused discussions
• When empowered, not afraid to make decisions
• Operates effectively even when things are not completely certain

Working Experience

• 4-8 years’ working experience
• Relevant experience in Consulting relating to data management or across multiple business disciplines as data governance professionals, business process engineers or business reporting functions
• Experience in working in a diverse organisation and across front to back business processes

Professional Qualifications

• Knowledge of tools and techniques of data governance
• Knowledge of tools, techniques and processes for gathering and reporting data

Education

• Degree holder of any business/ financial related discipline

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

• Evaluate the potential consequences of changes to upstream and downstream systems.
• Develop and maintain programs (shell scripts, SQL scripts) adhering to coding standards and best practices.
• Follow the organization's SDLC processes, creating and updating relevant documentation.
• Participate in system design, review, and improvement, ensuring security and performance.
• Diagnose, troubleshoot, and resolve production issues, implementing both short-term and long-term solutions.
• Perform routine maintenance tasks, including disaster recovery drills and software updates.
• Provide ad-hoc support, data analysis, and troubleshooting to users.
• Manage, maintain, and optimize applications to meet service level expectations.
• Identify and implement improvements to enhance system performance and functionality.
• Coordinate and support production releases, including on-call and after-hours support.
• Proactively identify, assess, and escalate potential risks and issues.

Requirements:

• Hold a master’s or bachelor’s degree in Information Technology, Computer Science, Management Information Systems, Banking and Finance, or a related field.
• Have a minimum of 2 years of experience in MS SQL Server development, including work on SSIS packages, stored procedures, functions, and triggers.
• Demonstrate familiarity with the Software Development Life Cycle (SDLC) process.
• Exhibit strong problem-solving skills and thrive in a dynamic technical environment, with the ability to multitask and deliver high-quality solutions.
• Possess a comprehensive understanding of database management systems.

To apply, please visit www.gmprecruit.com and search for Job Reference: 25015

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

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

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.

Multiple locations available

- Pioneer

- Tai Seng

- Hougang

- Kallang

- Ang Mo Kio

- Loyang

Gross Salary

Full-Time : S$3,300/Month

Part-Time : S$150/Day

Working Hours

- 12 hours shift

- Alternate 5 and 6 working days per week (24 working days)

- Rotating shift (0800hrs - 2000hrs and 2000hrs - 0800hrs)

Requirement

- Valid SO license

- 1 notification available

- Ability to perform intermittent patrols and escorts

- Proficient in using a mobile app for reporting

- Access control and safeguarding premises

SRS provide comprehensive medical and leave benefits. If you are interested in this role, please submit your resume via the "Apply Now" option.

Job Description:

• Responsible for ensuring the availability and reliability of multiple data centers to meet IDC operational requirements.
• Conduct daily inspections of servers, switches, power environments, etc., to maintain a good operating environment in the data center and provide feedback data.
• Install, maintain, and troubleshoot server equipment in the data center, including hardware installation, maintenance, and fault handling.
• Responsible for data center equipment migration and server system installation and configuration, such as Windows/Linux systems.
• Assist in troubleshooting CentOS and other Unix-like systems, identify and resolve faults, and provide timely feedback on issues.
• Troubleshoot and resolve data center network equipment and switch failures, such as switch replacements and link failures.
• Promptly respond, provide feedback, and follow up on troubleshooting for daily issues and emergency incidents.
• Responsible for adjusting and arranging the physical links in the data center, such as fiber optics, Ethernet cables, and power cables.
• Conduct regular inspections, maintenance, replacement, and repairs of all servers and spare parts in the data center.
• Provide various daily reports on time and be available for alternating day and night shifts.
• Support spare part inbond and outbond in Warehouse

Job Requirement:

1. Diploma/Bachelor’s degree or above in Engineering, Computer Science, Information Technology, Security, or equivalent;

2. Proficient in Chinese and English to liaise with clients from China;

3. 1-3 years of IT experience; outstanding fresh graduates are totally welcomed;

4. Provide 24/7 alternating support for day and night shifts, with each shift lasting 12 hours, totaling 3 or 4 shifts per week.

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 AI and 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 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 AI maturity
• Evaluate and recommend appropriate AI frameworks, tools and platforms
• Lead AI feasibility studies and PoC projects to demonstrate the value and viability of 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 AI products
• Collaborate with AI architects and engineers to design and develop AI and Generative AI solutions tailored to the clients’
• requirements
• Lead integration and deployment of AI solutions into customers’ existing infrastructure
• Stay updated with the latest advancements in AI and Generative AI technologies, trends and best practices and develop thought leadership and PoV on AI
• Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing
• discussions
• In-depth understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as
• generative adversial networks (GANs), variational autoencoders (VAEs), etc.)
• Good knowledge of AI frameworks, tools, and platform such as TensorFlow, PyTorch
• Knowledge and affinity of GenAI libraries and tool sets included HuggingFace, LangChain, RAGAS and more
• Experience working with customers in different

Preferred Skills and Experience

• Bachelor's degree in computer science, Information Security, or a related field Skilled in planning, organization, analytics, and problem-solving.
• 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 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.

Job Summary

An exciting opportunity for Data Analyst to work on projects for compliance surveillance systems support in processing analytics data, for a reputed bank.

Mandatory Skill-set

• Degree or Diploma in Software Engineering, Computer Engineering, Information Technology and related Discipline;
• Ability to work independently with Python and SQL and strong ability to process large volume of data;
• Has knowledge and experience of creating Dashboards – either PowerBI / Tableau / Qlik;
• Basic understanding of Rules Based and Machine Learning models;
• Excellent interpersonal, communication skills and able to function with multiple teams;
• Proactive with a go-getter attitude.

Desired Skill-set

• Experience in AML/CFT;
• Familiarity with SWIFT transactions and/or sanctions screening;
• Work experience in banking industry.

Responsibilities

• Collaborate with business units to investigate and resolve reported issues or queries related to compliance surveillance systems;
• Process and analyze data to assist with investigations into Anti-Money Laundering (AML) and Countering the Financing of Terrorism (CFT);
• Perform tuning and optimization to enhance the functionality and efficiency of compliance surveillance systems;
• Refine and optimize machine learning models to improve compliance monitoring and detection capabilities;
• Participate in projects focused on the maintenance and enhancement of compliance surveillance systems and provide support for analytics data processing;
• Demonstrate proactive learning and adaptability to stay informed about regulatory changes and advancements in compliance technology;
• Effectively manage time and prioritize tasks to meet deadlines while maintaining high-quality outputs.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

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Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

Purpose: To create, control and manage changes to customer's Technical Product Data (TPD) packages (Items, Bill of Materials, Product specification documents) in the Product Lifecycle Management (PLM) and Enterprise Resource Planning (ERP) systems. To deploy TPD changes to the relevant Persons-in-Charge (PICs) for execution.

Key Area of Responsibilities:

• Check the correctness and completeness of product packages, such as Technical Product Data (TPD) and Bill of Materials (BOM) received from customers.
• Work with the user of TPDs to define the new TPD requirement and update the ISO document (for new customers or any change in TPD requirement).
• Maintain required customer items, BOM, and TPDs in PLM and ERP systems.
• Create and control the item part number, BOM and TPD in the PLM and ERP systems.
• Create projects in the ERP system for the fulfillment of customer Sales orders.
• Implement Engineering Change Order (ECOs) and deploy the changes to the next inline PIC (such as planner, purchaser, process engineer and Sales & Program dept.)
• Check and ensure all required information for the TPD (items, BOMs, documents) and/or configuration change are provided, and approved by the customer.
• Support and participate in company continuous improvement program.

Qualification & Experiences:

• Diploma/Degree in Mechanical Engineering/Science or relevant field.
• Minimum 2 years of working as a product data engineer in the semiconductor industry or similar position.
• Proficient in Microsoft Excel functions
• Good communication skills