Job Description

Key Responsibilities:

Works in project teams as subject matter expert to design and develop program methods to consolidate and analyze structured and unstructured, diverse "big data" sources

Performs ad-hoc statistical and data-mining analysis , using statistical tools like R, SAS and MATlab; input and design of data acquisition systems, data structure and database design.

Interfaces with internal customers for requirements analysis and compiles data for scheduled or special reports and analysis, create visualization and dashboards using Tableau

Works in project teams to develop analytical models, algorithms and automated processes, applying SQL understanding and PHP or Python programming, to cleanse, integrate and evaluate large datasets.

Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics, understands the business data gathering processes of the business. Find opportunities for building models using machine learning techniques to solve business problems

In the framework of our Smart Factory initiative, we are looking for a data scientist that will help us better utilize the information hidden in vast amounts of data and help us make faster and smarter decisions to deliver even better value to our business Manufacturing operations. Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our systems. The role will be about understanding the business constraints, applying those to the raw data coming from our SAP and other systems, creating alerts and predictive analysis, and finally creating the right visualization and dashboards for the various user communities.

Functional Knowledge

• Demonstrates conceptual and practical expertise in own discipline and basic knowledge of related disciplines

Business Expertise

• Has knowledge of best practices and how own area integrates with others; is aware of the competition and the factors that differentiate them in the market

Leadership

• Acts as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirements

Problem Solving

• Solves complex problems; takes a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information

Impact

• Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines and policies

Interpersonal Skills

• Explains difficult or sensitive information; works to build consensus

Skills and Qualifications

• Good communication skills
• Minimum 3 years’ experience in similar roles
• Proficiency in using query languages such as SQL
• Good practical experience with data lake like Hadoop
• Experience with data visualization tools, such as Tableau, etc.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good knowledge in deploying AI and/or ML models, and understanding of machine learning techniques and algorithm
• Data-oriented personality

ENGIE Services Singapore is a leading provider of Integrated Facilities Management solutions (IFM), property management, operations and maintenance, specialized rail engineering works, sustainable solutions and FM Consultancy services. With strong presence in various counties across South East Asia, we operate across mission-critical industries - aviation, transportation, healthcare, education, government and commercial.

ENGIE understands the integrated role of facility management and the value of it can be expanded beyond the traditional approach. As a total FM, specialized engineering and sustainable real estate solutions service provider, ENGIE offers a comprehensive range of technical, digital and support services customisable to best suit your unique needs.

Job Description:

• Monitor, maintain and coordinate the operations of data centre electrical/ mechanical infrastructure and building monitoring systems.
• Conduct daily site inspections, record readings and data logging of data centre equipment to ensure proper operation and checklist verification.
• Provide 24X7 first level onsite response to any M&E incident accordingly to contractual obligation.
• Perform troubleshooting of mechanical and electrical equipment malfunctions and perform ad-hoc repair as and when necessary.
• Report operations abnormality and perform escalation with follow-up on improvement plan promptly.
• Create quotation, work orders, coordinate vendor/supplier repairs/replacement on the data centre sites.
• Adhere to data centre operations work rules, policies and procedures that include but not limited to emergency operating procedures (EOPs), emergency drill procedures, standard operation procedures (SOPs), methods of procedures (MOPs) incident management, maintenance management, vendor management and document control standards.
• Maintain proper documentation and service reports are filed and submitted to customers for auditing and tracking purposes.
• Plan the annual master planned preventive maintenance schedules and provide guidance for addition to, deletion or modification of existing maintenance routines.
• Maintain and monitor the appropriate key performance indicators (KPIs) and external service level agreements (SLA's) to measure and improve onsite operations
• Oversee the execution of planned maintenance works performed by appointed vendors/subcontractors to ensure maintenance meets satisfactory level and are in accordance with the signed contract agreement.
• Provide onsite support to customer requests, incidents, can change and problem management activities.
• Manage and handle ticket management and queue monitoring.
• Schedule weekly meetings with customer and its appointed subcontractors with proper minutes taken to review and discuss service levels, operational issues as well as planning for future work.
• Prepare customer weekly progress report and track status of deliverables.
• Prepare incident report accordingly to contractual service level agreement.
• Support yearly performance review session with customer.
• Coordinating all changes to the DC infrastructure that may affect the service levels of any other service areas within the DC premises.
• Accountable for all site inventory management such as tools, test equipment, replacement parts, materials, spare parts and consumables used and sorted at the site.
• Adherences to all quality, health & safety, environmental policies and customer house riles.
• Perform any other ad-hoc tasks associated with the maintenance, upgrading, repairs, addition or modification of the facilities, as instructed by the management.
• Ensure that all information security management system related policies, procedures and specified requirements are implemented and complied to.
• Any other tasks as assigned by the supervisor.

Requirements:

• At least a Post Graduate Diploma in Engineering (Electrical/Electronic), Engineering (Industrial), Engineering (Mechanical) or equivalent
• Minimum 3 years Data Centre facilities experience
• Operational experience with critical facility equipment/ system that includes but not limited to transformers, generators, DRUPS, UPS, PDU, Chiller System, CRAH and Fire System
• Work independently with minimum of supervision
• Analytical and problem-solving skills
• Good organizational skills with the ability to maintain all facility related documentation. Detailed and careful in submissions and reporting
• Proficient in Microsoft Office
• Has a good safety mindset and displays good WSH behaviour

We are seeking a dynamic Data Engineer (Python) to join our growing global team, Recommendations domain to work on exciting projects like implementation of our own machine learning framework, integrating a feature store for supporting real-time data science requirements and the creation of complex data ingestion pipelines to support this!

Join us in creating an engaging and personalized shopping experience for our users. Every feature and improvement you develop will enhance customer choice and app performance, making it easier for users to find and enjoy the products they love. Your work will have a lasting impact on customer satisfaction and loyalty across diverse markets.

Responsibilities

• Ingesting first and third-party data sources into our databases.
• Curating and maintaining high-quality data assets so our data scientists can make informed decisions and create better products.
• Collaborating with cross-functional teams to deliver high-quality data assets.
• Deploying and maintaining ML models on our deployment framework.
• Architecting, defining, and building data pipelines to enable faster, better, data-informed decision-making.

• 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 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.)

Job Summary:

• Industry: Healthcare
• Location: Novena
• Work Schedule: 8:30am to 6pm (Mon to Thu) and 8:30am to 5:30pm (Fri)

Job Responsibilities:

• Support and work closely with the Chief Data Officer (CDO) to develop and implement the company’s Data Strategy for decision making purposes
• Develop, review and update data-related policies to ensure alignment with the national data policies
• Oversee the management and maintenance of the company platform for data request to facilitate data requests by staff.
• Put in place protocol that complies with relevant data access, sharing, and security policies.
• Serve as a point-of-contact to liaise with other institutions and external parties for data request as well as to contribute to the group analytics and digitalization effort.
• Develop and implement proper data assets management standard operating procedures and workflows across the Data Life Cycle from data acquisition, fusion, access and distribution, to disposal
• Collaborate with the relevant departments/units to build staff literacy, competency, capabilities, and knowledge in safe, efficient, and effective data exploitation and management on various platforms
• Oversee the secretariat support for departmental and hospital working committees to support digital transformation agenda and build communities of practice to share knowledge and best practices
• Lead change management, engagements, and communications with different levels of stakeholders, on issues pertaining to data management, data sharing, and data exploitation.

Job Requirements:

• Degree in Computer Science, Computer Engineering, Computing in Information Systems, Information Management or Management Information Systems or related fields
• At least 5 years of relevant working experience in business data management and governance with experience in developing data strategy
• Experience in handling compliance reviews or overseeing data management / IT systems is preferred
• Experience in data analytics is an added advantage
• Possess strong data and technological knowledge, covering recent topics such as data governance, data policies and data domains.

By submitting any application or résumé to us, you will be deemed to have agreed and consented to us disclosing your personal information to prospective employers for their consideration.

We regret that only short-listed candidates will be notified.

Registration No: R24123448 / EA Licence No: 12C6253

Qualifications

• 5 - 7 years of IT Security experience in administration and management of IT Security technologies primarily Endpoint Protection, Email Security and DLP, Data Classification and other endpoint & data security solutions;
• Knowledge of different domains of IT Security;
• Working & hands-on experience in administering the IT Security Solutions;
• Must have experience in working in similar Production setup in Run (Operations) mode;
• Ability to apply risk based approach while working on assigned responsibilities;
• Hands-on experience on Symantec Data Loss Prevention (DLP);
• Highly proficient overall security solutions like, Endpoint Protection, Email Security and Vulnerability Management;
• Deployment, integration and administration experience of various components of Symantec DLP:

- Symantec Endpoint Protect

- Symantec Web Prevent

- Symantec Email Prevent

- Symantec Enforce

• Experience in defining, designing and configuring DLP Policies as per the business requirements;
• Deploy, upgrade and troubleshooting knowledge on Symantec DLP solution;
• Deploy, Upgrade and troubleshoot on DAM Solutions like IMPERVA or Guardium
• Expertise knowledge in Email Security Solutions
• Hands-on to Expertise knowledge in MS Defender for endpoint and or Cloud.
• Scripting knowledge (Phyton, Regular Expression, Powershell) is desirable;
• Professional Certifications:
• CISSP certified
• Symantec Certified Expert: Administration of Data Loss Prevention (any version)

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

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Data Scientist/Quantitative Research position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises of over 40 IT, software, and data professionals primarily based in Shanghai, Singapore, and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team!

Job Responsibilities:

· Conduct rigorous, open-ended research to address complex business questions using diverse datasets, deriving actionable insights that provide a competitive edge for the company

· Develop and maintain high-quality datasets, integrating internal and external data sources to support advanced analytics and machine learning initiatives.

· Build and deploy AI/ML models to address a range of business needs, from operational automation to strategic decision-making, ensuring models are impactful and aligned with organizational goals.

· Analyze and prioritize the company's key challenges, applying the 80/20 principle to focus efforts on high-impact problems.

· Foster a culture of learning and innovation by documenting processes, results, and data products to ensure transparency, reusability, and organizational knowledge sharing.

Requirements:

· Strong analytical mindset with a proven ability to extract deep, non-obvious insights through persistent inquiry and statistically rigorous methods.

· Resourceful problem-solving skills with the ability to source and integrate diverse data types, even when datasets are incomplete or unavailable.

· Interest or experience in maritime logistics, demand planning, pricing strategies, or similar domains.

· A degree in statistics, mathematics, computer science, economics or similar fields from a leading university

· Professional fluency in English or Mandarin to facilitate effective communication across diverse teams.

Desirable Qualities:

· Academic research experience, particularly in areas relevant to logistics, operations research, or econometrics.

Established in 1973 with headquarters in Seoul, South Korea, Cheil Worldwide is one of the world’s leading integrated marketing communications networks, with more than 7,200 employees globally in more than 54 offices in 46 countries.

For more information, visit us at: www.cheil.com.

We are inviting candidates for the position of:

Data Analyst

The Data Analyst is experienced in online marketplace industry towards data analysis. He/She will be responsible for managing project with various form of data analytics from performance to competitor’s analysis.

He/She is a great communicator, loves being a team-player, passionate in digital data and leadership in developing the highest quality of deliverables.

Responsibilities

· Manage large volume of raw data by filtering, sorting, processing and analysing.

· Prepare and present compiled data into reporting format in accordance to client specification.

· Data discipline and ensuring accuracy.

· Manage campaigns performance and weekly competitor’s analysis reports.

· Understand and manage the concept of project own digital automation.

Requirements

· Proficient in Microsoft office and excellent in Excel (Vlookup, Pivots etc).

· Minimum 2 years’ experience in online marketplace industry.

· Experience in handling large volume of data.

· Experience in Adobe Analytics, GA4

· Able to create dashboards using data visualization platforms such as Looker Studio or Tableau

· Experience in livestream analytics

· Minimum Polytechnic Diploma/Bachelor’s Degree holder (or higher).

· Knowledge ecommerce operation in SEA marketplaces including but not limited to Lazada, Shopee, Amazon and eBay.

· Self-motivated, persistent, hardworking, team player and a committed individual.

· Effective communication (verbal and written); Good command of the English language.

· Knowledge and experience in Data Visualization tools (Tableau) or data driven marketing is a plus.

Manage new Data Center project execution from inception to delivery of hyperscale data centres with related activities for new builds and fit out projects (mainly in Japan, United States and Australia); eventually to be responsible for building strategic relationships with key clients, both externally and internally, and bolster the company's market position.

· Develop and manage detailed project plans, including scope, timelines, and resource allocation for Megaspeed strategic initiatives

· Collaborate with our top cloud and enterprise customers and communicate presentations on all aspects of design

· Oversee the entire project lifecycle, from conceptual design through construction and commissioning, ensuring timely and budget-compliant delivery.

· Manage relationships with internal and external stakeholders, ensuring clear and consistent communication throughout the project lifecycle

· Develop high level master planning, space planning and engineering solutions for potential new developments (feasibility stage)

· Coordinate technical aspects of direct procured equipment and facilitate alignment with the design team

· Understand commercial implications of engineering decisions and build cost models for customers

· Oversee to ensure Environment, Safety and Occupational Health implementation

· Leverage local subject matter expert's tribal knowledge, spread adoption of best practices

· Coordinate closely with data centre field operations to foster alignment and partnerships for business success

· Provide regular reporting, updates and presentations to senior management and internal stakeholders including progress reporting, risk assessments, investment committees, customer proposals and business case development

· Build and manage project scope, equipment requirements and assist with proposals and capital requests

· Must be familiar with data centre industry trends, best practices, and emerging technologies, incorporating them into designs and builds as appropriate

Job Description

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Big Data Engineer or similar role.
• Strong proficiency in Apache Spark and Scala programming.
• Experience with big data technologies such as Hadoop, Hive, Kafka, etc.
• Familiarity with data warehousing concepts and tools.
• Knowledge of SQL and NoSQL databases.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Knowledge of machine learning frameworks and libraries.
• Experience with containerization and orchestration tools like Docker and Kubernetes.

EA Number: 11C4879

Company’s Profile

Our client, a security solutions provider has been established for more than 25 years, with a strong reputation in the industry. They specialize in delivering comprehensive turn-key security systems, from design and integration to maintenance and support and serve clients in government, trade and commercial sectors. They are now looking for Data Center Technicians to join their expanding team!

Location: Lakeside / Admiralty

Working hours: Monday to Friday, Office Hours

Responsibilities:

• Oversee building and data centre facilities: recording and reporting on the BMS / EMS / Fire D&P / Chiller / Electrical etc
• Administrator for preventative maintenance programs to ensure that equipment are properly serviced & maintained
• Maintain good documentation of facilities and / or equipment maintenance
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings
• Respond to emergency situation and be on 24x7 standby duty
• Prepared to be on 24x7 standby recall to provide extra manpower coverage when necessary
• Be involved in new data centre projects as well as renovation and maintenance to existing space
• Responsible to handle site inspections / audits by external authority (eg. HDB/LTA/NEA/FSB)
• Scheduling and tracking of servicing jobs and vendor management on a day to day basis
• Maintain high customer service level standards
• Managed all facilities contracts

Requirements:

• Min. Diploma in Building / Facility Management or any other related field
• Some relevant experience in Data Centre facility management and vendor management is a good bonus
• Good knowledge in building technology, mechanical and electrical services and facilities management

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312

Working Hours: 24/7 shift basis

Shift Allowance: SGD 200/m

DC Ops Engineer is required to follow given policies, processes and procedures including, but not limited to :

• Monitoring procedures.
• Batch job review and recovery.
• Production error escalation.
• Backup and recovery management procedures.
• Disaster recovery procedures.
• Environmental Monitoring.
• Security Management.
• System and Network Monitoring.
• Production Control and Scheduling.
• System Backup, Recovery, Media and Offsite Management.
• User ID Management.

Monitoring of alert

Monitor any alert via email or monitoring application provide by CLIENT

Escalate all alerts received to the Tech Support or DPE / SDM

Raise Tickets and assigned to Tech Support

Backup Tapes

To load and unload backup tapes as per schedules

Sent backup tapes to offsite

Received tapes from offsite

Involve with DR exercise

Escort Duties

Perform escort duties for VENDOR to enter the datacentre

Physical Check

Perform datacentre physical check to ensure NO combustible items and all server racks are lock at all times

Server Reboot

Perform servers reboot as when is required by the Tech Support

EA License # 14C6941

Key Responsibilities:

• Monitor data center operations and systems to ensure peak performance.
• Conduct routine inspections and maintenance of equipment.
• Support the installation, configuration, and troubleshooting of hardware and software.
• Respond to alerts and incidents, performing diagnostics and problem resolution.
• Maintain accurate logs and documentation of technical issues and resolutions.
• Assist in capacity planning and performance tuning activities.
• Collaborate with other teams to ensure seamless operations and support.

Job Summary

A great opportunity as a Data Engineer to work in cloud based data engineering, analytics and data management team in a well established company.

Mandatory Skill-set

• Bachelor's Degree in Computer Science or equivalent;
• Minimum 5 years of experience in data engineering and data management;
• Hands on technical experience in Azure Data Factory, Databricks, Synapse, SQL Server Integration Services;
• Strong experience in Python / SAS / R along with Tableau / Power BI;
• Strong experience in gathering business requirements and translating into technical specification;
• Strong analytical skills with high curiosity to deep dive into root cause of problems and suggest solutions;
• Has good stakeholders management experience;
• Attention to technical details;
• Ability to deliver tasks on time with high quality outcome;
• Self motivated and ability to take ownership;
• Strong written and spoken communication skills.

Desired Skill-set

• Azure Data Engineer Certified;
• ITIL certified;
• Prior experience in Python, R or Machine Learning tools.

Responsibilities

• Design and develop data models, ETL pipelines, data integration process while ensuring data accuracy and quality;
• Perform data analysis of structured and unstructured data and perform business intelligence initiatives such as build user friendly reports using data visualization tools;
• Analyze ETL requirements from users and provide solutions accordingly;
• Responsible for planning and executing data profiling and data quality analysis;
• Monitor data pipelines, databases and analytical processes to ensure smooth operations;
• Identify and resolve data-related issues, performance bottleneck and data quality problems;
• Design and document data catalogs and data architectures;
• Perform regular data cleansing exercise to ensure that data is of high quality and relevant to the business needs;
• Execute data transformation, correction and aggregations to ensure compliance with business / regulatory requests;
• Build and maintain reports and dashboards using suitable data visualization tools;
• Conduct analysis on the reports and translate the findings into valuable insights to business users;
• Prepare data for prescriptive and predictive modelling;
• Perform database monitoring and performance tuning

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

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

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

This role will focus on advising customers looking to enhance their business or operational outcomes through the use of Data and Analytics on AWS. In this role you will advise on architecture best practices, lead projects, manage customers stakeholders and conduct customer workshops and implement complex Data workloads with our customers and partners.

Key job responsibilities
*Advise customer’s technologists and business leads; help them to explore the art of the possible with Data and Analytics, and to develop scalable Data solutions on AWS to deliver business value in the most effective way
*Discuss industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail
*Deliver large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to development, testing and roll out
*Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of Data and Analytics on AWS

About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic qualifications

• Bachelor's Degree or equivalent experience in STEM.
• 5+ years of experience with direct customer (internal or external) interaction with responsibilities in Data and Analytics solutions design, architecture and implementation (Data Lake, Data Warehouse, Lake House, Data Mesh, Data as a Product and Data Governance including Data quality and controls, etc..).
• Ability to think strategically about business, solutions and technical challenges.
• A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.

Preferred qualifications

• 3+ years Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI
• Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.
• AWS Experience and Certifications, including implementation of cloud-based Data and Analytics solutions.
• Ability to understand and educate customers on cloud computing technologies and workload transition challenges.
• Advanced degree desired (e.g., MBA, MS)

Enhance Generative AI Accuracy:
1) Build and curate a comprehensive knowledge base to serve as a foundation for the Generative AI model.
2) Evaluate and analyse AI-generated responses to identify areas of improvement and optimize accuracy.

Response Analysis and Evaluation:
1) Identify, analyse, and assess the quality of AI-generated responses, ensuring they align with company standards and customer expectations.
2) Collaborate with the AI Development team to implement necessary adjustments to improve response quality.
Safety Scenario Establishment:
1) Develop and implement safety scenarios to mitigate the risk of inappropriate or sensitive AI responses, maintaining ethical and responsible AI interactions.

Data Set Maintenance:
1) Deconflict and curate data sets across various platforms to ensure a diverse and clean input for the Generative AI model.
2) Regularly update and refine data sets to reflect evolving language trends and user preferences.

Knowledge Base Updates:
1) Perform daily updates to the knowledge base, integrating the latest product information, industry updates, and relevant content.
2) Ensure accuracy and relevance of information provided by collaborating with product owners and subject matter experts.

Demand Analysis:
1) Engage in call listening activities to identify emerging demand topics and customer preferences.
2) Provide insights and recommendations to the AI Project Manager for enhancing AI-generated responses in response to these demands.

Collaboration with Product Owners:
1) Establish effective communication channels with product owners to continuously enhance the knowledge base and refine AI responses.
2) Actively gather feedback and insights from product owners to improve the accuracy and relevance of AI interactions.

Product Knowledge & Call Handling Trained
1) To be trained in Banking Related product knowledge and undergo training to learn how a customer service officer handles a customer over a call.
2) Standby support to be activated on adhoc basis by Workforce Management team to service calls/emails or any other functions deemed to be necessary to maintain Customer Centre’s service levels.

These are the experience and skillsets that we are generally looking for:

• Meticulous and show great attention to detail. (Important)
• Possess an analytical mindset to identify key performance metrics and evaluate the success of Gen AI initiatives. Important)
• Basic understanding of prompt engineering, data pre-processing, and data ingestion techniques in the context of Generative AI systems. (Good to have but not essential)
• Proficient in MS Office (Word, Excel, Project and PowerPoint)

Interested candidates kindly submit your updated CV in a Word Format to: [email protected] shortlisted candidates will be notify. Thank you.

• Develop and implement methods, processes, and systems to consolidate and analyze diverse, unstructured data sources, delivering actionable insights for management.
• Create and code software programs, algorithms, and automated processes to clean, integrate, and evaluate large datasets from multiple sources.
• Collaborate with business experts to enrich data and uncover meaningful insights to build practical solutions.
• Automate repetitive data tasks to improve efficiency and reduce manual intervention.
• Design data visualizations to clearly present findings and recommendations to stakeholders.
• Stay updated on the latest trends and best practices in data science, machine learning, and artificial intelligence.
• Support Global IFF Business Control with various tasks and project requirements.
• Assist with administrative duties and ad-hoc tasks as assigned by the Head of Department.

Requirements:

• Diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 1–2 years of experience in a data science role; experience in a similar industry is a plus.
• Proficiency in programming languages such as Python, R, SQL, and PowerShell, with experience in data manipulation and analysis libraries.
• Familiarity with data visualization tools like Power BI and the ability to effectively communicate complex analyses to non-technical stakeholders.
• Strong problem-solving and analytical skills, with the ability to translate business needs into data-driven solutions.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

Job Descriptions

• Supervise electrical installation works at construction sites, ensuring adherence to project specifications and timelines.
• Coordinate daily site activities and monitor progress to ensure quality and safety standards are met.
• Provide guidance and technical support to electricians and other site personnel.
• Review electrical plans and drawings to ensure compliance with safety standards and local regulations.
• Liaise with clients, contractors, and project managers to ensure smooth operations and resolve any issues.
• Conduct site inspections and ensure proper documentation of work performed.
• Ensure all electrical systems and equipment are installed in line with best practices and regulatory guidelines.
• Manage subcontractors and suppliers and project procurement.
• Project meetings and reviews to ensure targets are met.
• Any ad-hoc duties assigned by department head.

Job Requirements

• Diploma or Degree in Electrical Engineering or a related field.
• At least 6 years of relevant experience in electrical site supervision.
• Strong knowledge of electrical systems, wiring, and construction safety standards.
• Ability to read and interpret electrical drawings and specifications.
• Excellent communication, leadership, and problem-solving skills.
• Experience with project coordination and site management is preferred.

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data engineers to join us.

Location: Central

Roles and Responsibilities:

• Design and develop scalable data pipelines using Databricks, ensuring data integrity and availability.
• Collaborate with stakeholders to understand their data needs and provide solutions.
• Assist users in utilizing Databricks effectively, providing training and support to enhance their data processing and analysis capabilities.
• Monitor and optimize data workflows and queries for performance improvements.
• Implement best practices for data governance, security, and compliance within Databricks environments.
• Document data architecture, pipelines, and processes for knowledge sharing and future reference.
• Troubleshoot and resolve issues related to data processing and Databricks functionalities.

Skills Required:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer with a strong focus on Databricks.
• Proficiency in Python/Pyspark and data modeling techniques.
• Experience with ETL tools and data integration processes.
• Excellent communication skills with the ability to explain complex concepts to non-technical users.
• Experience in providing user support and training is highly desirable.

Responsibilities

• 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.

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.

Interested applicants, please Email , and look for [email protected]

John (Joax) Wong

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R23117179

We regret that only shortlisted candidates will be contacted.

Job Highlights

Salary: $2800 per month

Contract Duration: 11 months

Working Location: Nearest to Labrador Park MRT

Working Hours: Monday to Friday, normal office hours

Job Descriptions

• Design, develop, update and maintain the Data Centre (DC) database and dashboard using
  Tableau.
• Collate operational data from multiple stakeholders and update the DC database.
• Analyse the data/database to uncover trends, patterns, and insights, and generate/update
  dashboards and reports to aid in operational and policy decisions

Job Requirements

• Only Singaporean need to apply.
• Diploma in Computer Science, Data Science, Mathematics, Statistics, Business Analytics or equivalent field.
• Familiar in visualizing data using Tableau.

Interested candidate please click ‘Apply Now’. We regret to inform that only shortlisted candidates will be contacted.

Yee Kar Seng

Outsourcing Team

BGC Group Pte. Ltd.

EA Registration No.: R22107286

EA License Number: 05C3053

About the Job

Our mission to positively impact people's lives every day in every home around the world allows our employees to be thinkers and tinkerers, designers and doers, creators and number crunchers, makers of things they love.

Shark Ninja is expanding our APAC business and scaling it rapidly. Our two brands, Shark, and Ninja, have enjoyed unprecedented growth in the past 5 years, driven mainly by the very strong innovation pipeline on both brands. Given this success in our existing markets, Shark Ninja has embarked on a bold plan for growing APAC business, in which APAC plays a critical role.

As we continue to grow, we are looking for a Business Data Analyst to join our team. This role will be based at our APAC HQ in Singapore.

Position Overview

The Business Data Analyst reporting to VP Finance, APAC will play a critical role in driving breakthrough results for Shark Ninja’s APAC operations by developing and operationalizing data-driven solutions. This role will focus on creating and maintaining business dashboards, market share reporting, investment analysis, NPD tracking, and setting the stage for a comprehensive APAC Data Warehouse and Reporting solution.

Here are some of the EXCITING things you will get to do:

Holistic Business Dashboard Development:

• Consolidate and define key business KPIs across financial, commercial, and operational metrics.
• Design workflows to streamline the dashboard creation process, integrating with current systems and preparing for future data warehouse implementation.
• Provide high-level analysis and actionable insights to drive APAC business performance.

Market Share Reporting & Analysis:

• Develop a standardized dashboard for market share reporting across local markets.
• Automate market share reports and collaborate with the sales and CI teams to provide insights on SharkNinja’s portfolio and key competitors.
• Operationalize monthly market share highlights for timely and impactful reporting.

Investment Analytics:

• Collaborate with cross-functional teams to design frameworks for assessing ROI for various investments
• Provide insights on investment effectiveness and assess data readiness across regions for further application.

NPD (New Product Development) Launch Readiness Tracking:

• Develop systems to efficiently track NPD readiness, highlighting the potential for market success.
• Operationalize post-launch tracking to assess progress toward key targets and enable timely course correction.

APAC Data Warehouse and Reporting Solution:

• Work closely with stakeholders to map out the current IT data landscape, understanding data sources, granularity, and update frequency.
• Partner with Data Cloud & Architect Manager in the setup of a future state data warehouse and reporting solution, to enable more efficient business analytics.
• Rebuild and transition reports from existing platforms (Power BI, Tableau) to the finalized reporting tool.

Essential requirements

• Bachelor’s degree in Data Science, Business Analytics, Information Technology, or a related field.
• Strong proficiency in data analysis tools (e.g., SQL, Power BI, Tableau, Excel) and experience in developing dashboards and reporting systems.
• Excellent problem-solving and analytical skills, with a focus on actionable insights.
• Experience collaborating with cross-functional teams (sales, marketing, finance).
• Familiarity with data warehousing principles and reporting tool integration.
• Strong communication skills, with the ability to present complex data insights to stakeholders at various levels.

JOB SUMMARY

We are looking for a talented and experienced Lead Data Engineer to join our innovative team. The Lead Data Engineer will play a critical role in leading the design, development, and maintenance of our data infrastructure, pipelines, and analytical tools. The ideal candidate will have a strong technical background in data engineering, expertise in analytical tools, and proven leadership skills to mentor and guide a team of data engineers.

JOB DUTIES

• Lead the design, development, and implementation of scalable and efficient data pipelines, databases, and data infrastructure.
• Mentor, coach, and guide a team of data engineers, providing technical leadership and support.
• Collaborate with data scientists, product managers, and business stakeholders to understand data requirements, facilitate data-driven decision-making, and deliver actionable insights.
• Optimize database schemas, tables, and queries to support data storage, retrieval, and analysis.
• Integrate and optimize analytical tools such as Tableau, Power BI, or Looker to enable advanced data analysis, visualization, and reporting capabilities.
• Develop and enforce data engineering best practices, standards, and guidelines to ensure the quality, performance, and reliability of our data solutions.
• Implement ETL processes to integrate data from various sources, ensuring data quality, consistency, and integrity.
• Optimize data pipelines, queries, and infrastructure for performance, scalability, and cost-efficiency.
• Monitor and troubleshoot data pipelines and infrastructure issues, and provide timely resolutions.
• Stay up-to-date with the latest data engineering technologies, analytical tools, and best practices, and drive their adoption within the team.
• Ensure data security, compliance with data governance and privacy regulations, and adherence to analytical tool licensing agreements.
• Work closely with cross-functional teams to identify data needs and requirements, and deliver data solutions that meet business objectives.
• Document data pipelines, processes, and best practices, and contribute to the development of data engineering documentation and standards.
• Stay up-to-date with the latest data engineering technologies, tools, and best practices, and recommend their adoption as appropriate.

JOB REQUIREMENTS

• Bachelor’s degree in Computer Science, Information Systems, or equivalent work experience.
• 8+ years of experience in data engineering, with at least 3 years in a lead or senior engineering role.
• Proven leadership skills with experience in mentoring, coaching, and guiding a team of data engineers.
• Strong technical background in designing and implementing data pipelines, databases, and analytical tools.
• Proficiency in programming languages commonly used in data engineering such as Python, Java.
• Hands-on experience with big data technologies and frameworks such as Hadoop, Spark, Kafka, and Hive.
• Hands-on experience with analytical tools such as Tableau, Power BI, Looker, or similar platforms.
• Solid understanding of relational and NoSQL databases, and experience with database design, optimization, and SQL querying.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Experience with real-time data processing and streaming technologies (e.g., Apache Flink, Kafka Streams).
• Excellent analytical and reasoning skills with an ability to anticipate outcomes of a solution.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Strong sense of responsibility, initiative, and commitment.
• Self-motivated, proactive, and able to work independently with minimal supervision.
• Knowledge of data governance, data security, and compliance standards and best practices.
• Maintain confidentiality of information processed or prepared.
• Ability to lead, convince and inspire team members in a fast-paced environment.
• Willingness to travel to meet and work with offshore team members.
• Fluency in written and spoken English and Mandarin is highly desirable to liaise with Chinese speaking clients and counterparts.

We are looking for experienced static and mobile laser scanning professionals (TLS and MLS). Our new colleagues will perform LiDAR scanning of urban trees in Singapore and APAC, completing pre- and post-processing, geodetic and GIS related tasks.

Your skills and knowledge will ensure the precise preparations, the planning of survey projects, and the provision of data acquisition and processing.

Who we are

As the global pioneer in nature-based smart-city solutions, we help cities around the world to become more sustainable and more resilient against climate change. We are leading in applying smart city technologies such as the latest remote sensing and machine learning to green urban assets. With our cloud-based platform cities improve the well-being of their citizens through a greener, healthier, safer and more resilient urban environment while reducing operational costs. We currently operate offices in Budapest, Berlin, Singapore, San Francisco and Paris.

Your contribution will be

• Planning each area scanning as individual project.
• Scanning trees and urban objects (parks and streets).
• Performing basic maintenance and installation tasks of the equipment.
• Ensuring laser scanners and accessories are well calibrated according to specifications and requirements and kept in proper working order.
• Post-processing of scanned data with Riegl Software (training provided).
• Ensuring smooth logistics of the survey equipment.
• Maintaining assertive communication with authorities during the survey projects with the support of our HQ.

We need you to

• Have a minimum of 3 years of relevant working experience – field surveying.
• Be well versed in surveying technology and in using laser scanning equipment.
• Competence in pre- and post-processing, geodetic and GIS related tasks.
• Possess good technical sense and interest in state-of-the-art technologies.
• Hold a valid driving license and have a safety-conscious, responsible driving style.
• Have a good command of the English language.

We give preference to

• Degree in surveying or equivalent. Diploma holders in other professional areas with relevant experience will also be considered.
• Proven experience of working with high-value equipment.

We offer

• Opportunity to develop a product with high impact on the digitization and management of urban forests and on climate change adaptation in cities.
• Cutting-edge tools and technologies to work with, e.g., LiDAR remote sensing.
• Possibility to work and learn in an international, open-minded team of passionate (green-)tech experts.

About Filtrona

Filtrona is the only global, independent market leader in the design, testing and manufacturing of specialist filter solutions and related scientific services. With a head office in Singapore, Filtrona has 8 manufacturing facilities across Europe, America, and Asia, together with 2 innovation centres, an accredited laboratory and a Centre of Excellence focused on sustainability. The company has 2,000 employees serving customers across 120 countries.

Our purpose is to support partners to transform and benefit from business growth; we succeed when they succeed. Our mission is to be a responsible, customer-focused innovation leader creating excellence in sustainable solutions for today and tomorrow.

For more information, please visit www.filtrona.com

Role and Responsibilities

We seek a highly skilled and motivated Senior Data Engineer to join our ERP Project Team on a 2-Year Contract basis. This person will report to the BI & Data Lead and will provide technical support for the data migration to the new ERP solution.

• Create a development, test & production environment with suitable support from IT.
• Support Data Migration Lead in source to target mapping.
• Develop the ETL coding required to migrate legacy data to loading templates, that the SI will then load. Will also have to version all code and provide auditable promotion of this from development to test to production within the Technical Data Migration Team Database.
• Creation of staging tables and other data structures within the Technical Data Migration Team Database. This will include separating data provided for different test phases e.g. SIT, UAT, Cutover and Go Live.
• Profiling data.
• Writing Business Data Cleansing Reports and Technical Validation Reports as data progresses through an ETL cycle.
• Supporting business reconciliation with Reports/Queries as data progresses through an ETL Cycle
• Understanding source legacy data
• Manage Junior Data Engineer's work

Key Skills & Qualifications Requirements

• Degree in IT, Computer Science or equivalent
• Relevant certifications such as SAP Certified Application Associate, Informatica Certified Professional, or similar are a plus.
• At least 5 to 10 years of relevant experience in successful data migration strategy and delivery associated with a global ERP implementation.
• Extensive knowledge of data structures and data migration tools.
• Experience with data migration processes.
• Proficiency in ETL tools and technologies such as SAP Data Services, Informatica, Talend, or similar.
• Strong understanding of data extraction, transformation, and loading techniques.
• Experience with database management systems such as Oracle, SQL Server, or SAP HANA.
• Strong SQL skills for querying, manipulating, and transforming data.
• Knowledge of data quality principles and best practices.
• Experience in implementing data quality rules and procedures.
• Strong analytical skills to identify and resolve data issues.
• Ability to troubleshoot and resolve technical problems related to data migration.
• Excellent communication skills to engage with stakeholders at all levels and work collaboratively with cross-functional teams and manage stakeholder expectations.
• Strong organizational skills to manage multiple priorities and deliverables.