What a Data Science Manager does at Visa:

The Data Science Manager will be the strategic orchestrator of our data and analytics ecosystem, translating complex business challenges into impactful data solutions for our clients. This role requires a visionary who can integrate business strategy with technical execution, managing entire lifecycle of data products. You will identify, prioritize, and drive data initiatives to uncover strategic insights, collaborating closely with cross-functional teams to convert raw data into actionable business value. 

Why this is important to Visa

This role will support our client’s business by driving sales growth, optimizing marketing efforts, and improving customer engagement. It offers opportunities for professional growth in data analytics, enhancing your skills with cutting-edge tools. You will collaborate with diverse teams and explore innovative solutions to make data-driven decisions.
 

Our client is actively searching for a Manager/Asst Manager, Data eXchange Unit to join their team!
If you are a dynamic individual seeking a new career opportunity, read further!

The responsibilities of this role are:

• Support and work closely with the Chief Data Officer (CDO) to develop and implement hospital's Data Strategy to enable data exploitation for meaningful and insightful decision making.
• Develop, review and update hospital's data-related policies to ensure alignment with Ministry of Health’s (MOH) and National Healthcare Group’s (NHG) data policies (e.g., MOH’s HealthTech Instruction Manual - Data Management (HIM-DM) and NHG Data Access & Sharing Policy).
• Oversee the management and maintenance of Platform for one-stop request in hospital (PorT) to facilitate data requests by hospital and NHG 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 NHG institutions’ DXOs and external parties for data request as well as to contribute to NHG’s 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 (e.g. tracking and maintaining registries of data access, monitoring of data handling and disposal processes).
• Collaborate with relevant departments/units to build staff literacy, competency, capabilities, and knowledge in safe, efficient, and effective data exploitation and management on various platforms such as Oracle OBIEE/OAS, SharePoint, NGEMR, etc.
• Oversee the secretariat support for departmental and hospital working committees to support hospital’s digital transformation agenda and build communities of practice to share knowledge and best practices (e.g. Data Management Working Committee (DMWC) and Artificial Intelligence and Data Analytics (AiDA) Digital Innovation Technologies (DIT) committee).
• Lead change management, engagements, and communications with different levels of stakeholders, on issues pertaining to data management, data sharing, and data exploitation.

The ideal candidate will need to have the following qualities and experience:

• 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 as a strong advantage
• 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.
• Familiarity with public healthcare operations with working knowledge of data management, handling, and governance, and the regulatory requirements pertaining to the usage and sharing of data will be an added advantage

An exciting career awaits the right candidate! Click "Quick Apply" to register your interest now.

All applicants' CV will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be contacted.

JD:
Big Data Developer
 Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
 Experience in designing application solutions in hadoop ecosystem
 Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
 HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
 Good knowledge in data warehousing system
 Experienced in any scripting language (SHELL, PYTHON)
 HortonWorks distribution and understanding on SQL engines (Tez, MR)
 Java/RestServices/Maven experience is a value addition
 Control-M development. Monitoring Resource utilization using Grafana Tool
 Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
 Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
 Skillset:
o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

Job Scope:

a) To support the design of data collection channels

b) To support data integration between data collection channels and dashboard

c) To support the identification of opportunities for process automation and improvements

Requirements:

a) Business Intelligence

• Proficient in Microsoft Excel, e.g., creation of databases and usage of calculations/formulas

• Familiar with the applications in Tableau

• Experience with data analysis and reporting tools

• Ability to translate raw data into actionable insights

b) Process Innovation

• Creative problem-solving skills to streamline workflows

• Knowledge of project management tools and techniques

c) Soft Skills

• Strong analytical thinking and problem-solving abilities

• Good communication skills for liaising with team members

Location: Buona Vista

Salary: $13/hour

Working Arrangement:

Contract Period: 6 months

EA License No: 96C4864

Reg. No.: R24121728 EUNICE WOO JING QI

Job Summary

We are looking for a Data Analyst to assist the analytics delivery team and support the various Business Units within Data Management Office for a reputed bank.

Mandatory Skill-set

• Minimum Master/bachelor’s degree in Analytics, Computing, or a related discipline;
• 3 years of experience in analytics or data engineering field preferably in banks or the financial industry;
• Good knowledge of data analytics concepts & techniques, including data architecture, data transformation, data modeling, and visualization;
• Experience in database management namely MySQL, Oracle or others;
• Possess good analytical skills and problem-solving skills;
• Able to conduct issue investigation and root cause analysis;
• Strong communication skills and team player; able to work with business stakeholders directly on requirements gathering or issues investigation;
• Proficient in MS Excel, MS Word, and MS PowerPoint.

Desired Skill-set

• Big Data platforms such as Hadoop, Hive, Impala, Oozie, etc;
• Analytics tools such as Qliksense, Power BI, etc;
• Banking products and processes.

Responsibilities

• Work with the respective business functions to understand and analyze their analytics needs;
• Conduct necessary data sourcing and profiling to understand relevant data sources and structure;
• Propose and design the appropriate end-to-end analytics solution including data modeling, data transformation, and visualization;
• Assist and coordinate the relevant project activities including project planning, workgroup meetings, user training, and support;
• Prepare the relevant project documentation including functional specifications, testing cases, project demos, and user training materials;
• Provide necessary support to businesses on data issues investigation and ad-hoc data requests.

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 interviews.

EA Licence No. 07C5639

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.

Team Introduction

TikTok Business Integrity team is at the core to power monetization drive for TikTok on a global scale. The team builds the foundation to safeguard our advisement platform and use cutting-edge technologies to bring the most value to our users as well as business partners. In Singapore, we commit to uphold the integrity of the platform by taking advantage of human insights to know more about advertisers and use signals to optimize the tradeoff between risk and advertiser experience.

Responsibilities

- Work with large, complex data sets. Solve difficult, non-routine integrity analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.

- Build and prototype analysis pipelines iteratively to provide insights at scale.

- Develop comprehensive knowledge of Tiktok data structures and metrics, advocating for changes where needed for product development.

- Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.

- Research and develop analysis, forecasting, and optimization methods to improve the quality of TikTok ads products.

Minimum Qualifications

- Master's degree or PhD in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience.

- 5+ years of relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.

- Experience with statistical software (e.g. R, Python, MATLAB) and database languages (e.g. SQL)

- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.

- Demonstrated skills in selecting the right statistical tools given a data analysis problem. Effective written and verbal communication skills.

Preferred Qualification

- Maintain curiosity about new things, and have a strong sense of responsibility, integrity and reliability.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities:

• Collaborate with data scientists, coders, programmers and other stakeholders
• Creating and managing the AI development process and general infrastructure of a product
• Doing statistical analysis and interpreting findings
• Automating critical tasks and procedures for a data science team
• Creating data transformation infrastructure
• Developing AI models communicating the utility of the AI models they generate to a diverse range of employees inside the organisation, including product managers and management executives
• Exposing machine learning models via APIs with which other apps may interact
• Work on API and integrate systems.

Requirements:

• Master / Bachelor’s degree in computer science, computer engineering, or relevant field.
• Minimum of 4+ years’ experience in a similar role.
• Strong knowledge of Datawarehouse / database / Cloud systems and data mining would be preferred.
• Excellent organizational and analytical abilities.
• Outstanding problem solver.

Thanks,

Rajkumar

EA Licence Number: 23C2060 Registration ID is R1983662

Responsibilities:

• Design and implement systems to consolidate and analyze diverse, unstructured data, delivering actionable insights for management.
• Develop software, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets.
• Collaborate with business experts to enrich data and uncover insights for actionable solutions.
• Automate repetitive tasks to enhance efficiency and reduce manual efforts.
• Create visualizations to clearly communicate findings to stakeholders.
• Stay informed on trends in data science, machine learning, and AI.
• Assist Global IFF Business Control with projects and tasks as required.
• Handle administrative and ad-hoc duties assigned by the HOD.

Requirements:

• Minimum diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• At least 1-2 years of experience in a data science role.
• 1-2 years of working experience in a similar industry is preferred
• Proficiency in programming languages such as Python, R, SQL, and PowerShell, with experience in data manipulation and analysis libraries.
• Experience with data visulization tools (e.g., PowerBI) and the ability to effectively communicate complex analysis results to non-technical stakeholders.
• Strong problem-solving and analytical thinking skills, with the ability to translate business questions into data-driven solutions.
• Proficiency in Microsoft tools and applications.

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

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

We are seeking a motivated and capable Senior Data Analyst to help drive Data/Business Intelligence initiatives.

The Senior Data Analyst is responsible for extracting meaningful insights from extensive datasets to inform data-driven business decisions. Strong understanding of data analysis, statistical methods, and data visualization is required, and this position involves working with cross-functional teams, contributing to the development of data infrastructure, and ensuring data quality and integrity.

RESPONSIBILITIES:

● Data Extraction and Management: Extract and transform data from various sources, ensuring data accuracy, consistency, and reliability. Cleanse data and identify/rectify coding errors. Develop and maintain data pipelines and data models for analyses.

● Data Analysis and Reporting: Analyze large datasets to identify trends, patterns, and anomalies, using statistical techniques and data visualization. Develop and maintain dashboards and reports to track Key Performance Indicators (KPIs). Generate regular and ad-hoc reports, collaborating with stakeholders to meet their reporting needs.

● Insights and Recommendations: Cleanse and interpret complex data to provide actionable business insights. Translate data findings into operational and strategic improvements, developing recommendations to streamline processes, improve efficiency, and contribute to overall success.

● Collaboration and Communication: Work with cross-functional teams, including business analysts, data engineers, and other stakeholders. Collaborate with management to align business and informational priorities. Communicate analytical findings and insights to both technical and non-technical stakeholders.

● Data Governance: Contribute to advancing transition toward a more data-driven culture. Abide and adhere to data governance policies in servicing data extraction or report requests, metrics and dashboards. Assess adherence to data quality standards and data governance initiatives.

● Project Management: Manage projects to ensure results are measurable, actionable, and aligned with stakeholder goals.

● Consultation: Provide professional consultation services.

● Process Improvement: Identify opportunities for process optimization and stay informed on the latest trends and advancements in data analytics. Continuously evaluate and refine existing data processes and methodologies.

REQUIREMENTS:

● Bachelor's degree in any STEM-related disciplines

●Certification(s) in any modern data visualisation platform

●2-5 years of experience working in a data analyst role, preferably in the healthcare industry

●Proven experience wrangling large datasets and in using data visualization tools such as Tableau or Power BI

●Proficiency in programming languages (Python, SQL) is essential

●Strong understanding of statistical methods and concepts such as hypothesis testing, regression analysis, and classification techniques.

●Experience with the ETL process and machine learning techniques would be advantageous

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 Senior Data Engineer position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises over 60 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team! As a Senior Data Engineer in our Singapore office, you will have the unique opportunity to join a newly established data engineering team while being supported by our existing data engineering talent in Shanghai and Moerdijk. This role offers excellent career progression as you will take on a pivotal role in establishing and growing a local team in Singapore.

Job Responsibilities:

· Take ownership of the implementation and maintenance of critical pieces of our Azure ETL pipeline and data warehouse (ADF/DBT/Apache Airflow/AKS/Databricks)

· Assist in the maintenance of an existing data infrastructure (Azure SQL MI)

· Assist in the design and architecting of ETL/ELT pipelines, data schemas/models, and data marts for business users.

· Ensure the reliability and availability of core data infrastructure with proper monitoring and alerting systems to guarantee continuous data delivery to the business.

· Take ownership of data quality and governance. Collaborate with business and IT teams to establish and meet data standards, including developing automated data checks and data quality monitoring dashboards.

· Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation.

· Stay updated with current industry best practices and trends, and evaluate technical decisions at a business level.

· Provide leadership, guidance, and oversight to junior data engineers.

Requirements:

· Bachelor's or Master's degree in Computer Science or a related engineering field from a technical university.

· 4+ years of experience in data engineering

· 2+ years of experience with Azure data infrastructure (e.g. ADF, DBT, AKS, IaC).

· 1+ year of experience with Agile/DevOps tools (Git, Jira).

· Deeply knowledgeable of data warehousing best practices, especially in the Azure cloud environment, with a strong commitment to staying current with industry trends and future advancements.

· Thoroughly familiar with the relevant trade-offs within different data modelling schemas (e.g. 3NF, star, snowflake, data vault) and storage architectures (e.g. data warehouse, data lake, data lakehouse)

· Highly motivated, with a proactive approach to project ownership and accountability for outcomes and timelines. Committed to continuous personal growth and development within the organization.

· Fluency in both written and spoken English and Mandarin is highly desirable to effectively liaise with Chinese-speaking clients and counterparts, understanding their technical requirements.

Desirable skills

· Proven experience with cloud infrastructure at a global scale, with knowledge of navigating global data regulations at a technical level.

· Experience with master data management using modern MDM tools, ideally at a global scale and/or in a cloud environment.

· Background in the shipping/maritime or chemicals industry.

· Previous leadership experience as a lead engineer.

· Experience with PowerBI and Plotly.

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.

Education/Experience

• Diploma/Degree in Computer Engineering, Computer Science, Information Technology, or related technical field.
• At least 2 years of relevant experience preferred.

Job Description

• Install, configure, and manage Cloudera CDP 7.x clusters.
• Ensure cluster security, governance, and high availability.
• Monitor and maintain cluster performance and health.
• Handle daily operations, backup, recovery, and technical user support.
• Develop and update documentation for Hadoop configurations and processes.

Skill Sets

• Knowledge of Cloudera CDP runtime components.
• Proficiency in Linux administration and shell scripting.
• Familiarity with Kerberos, LDAP, and database administration (MySQL/PostgreSQL).
• Advantageous skills:Cloudera Data Services.
  Python environment and package management.
  Docker/Kubernetes.
  
• Strong problem-solving and troubleshooting skills.
• Ability to work both independently and collaboratively.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

Job description:( In Detail):

• Collaborate with business stakeholders and engineering teams to gather, understand, and translate data requirements for implementation in broader data initiatives.
• Implement scalable data processes that can be reused across similar known use cases and adapt to evolving business stakeholder demands.
• Work with internal engineering teams and external data vendors to resolve any technical data-related issues.
• Provide timely and effective support to end users, address any relevant data queries or issues encountered.
• Develop and maintain comprehensive documentation for data management activities (e.g, operating models, processes, implementation designs and user-acceptance test results).
• Monitor and report on the effectiveness of data initiatives, providing insights and recommendations for continuous improvement.
• Stay updated with the latest industry trends and best practices in data management.

Skillset (Must have):

• Proven experience in data management (e.g, Metadata, Data Quality, Data Discovery etc.) and support for enterprise-level data products.
• Good understanding of financial data and data management best practices.
• Demonstrate understanding of the complex data security and technical challenges faced by large, reputable organizations.
• Extensive knowledge and hands-on experience with SQL, including data storage and management in relational databases such as Snowflake, Microsoft SQL Server, Oracle etc.
• Familiarity with leading data management trends and practices in the financial industry, including approaches to data quality and business-technology issues related to data.
• Excellent analytical, communication, problem-solving and documentation skills.
• Ability to work independently and collaboratively as part of a team.

Skillset (Good to have):
- Experience and knowledge of Python is preferred.

- Certification in data management or data quality (e.g., DAMA, CDMP) will be advantageous.

SKILLS: Metadata, Data Quality, Data Discovery, SQL, Snowflake, Microsoft SQL Server, Oracle, Python

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

Senior Data Analyst | $ 6000

RESPONSIBILITIES:

· Data Extraction and Management: Extract and transform data from various sources, ensuring data accuracy, consistency, and reliability. Cleanse data and identify/rectify coding errors. Develop and maintain data pipelines and data models for analyses.

· Data Analysis and Reporting: Analyze large datasets to identify trends, patterns, and anomalies, using statistical techniques and data visualization. Develop and maintain dashboards and reports to track Key Performance Indicators (KPIs). Generate regular and ad-hoc reports, collaborating with stakeholders to meet their reporting needs.

· Insights and Recommendations

· Collaboration and Communication

· Data Governance

· Project Management

· Process Improvement

Requirements:

· Bachelor's degree in any STEM-related disciplines

· Certification(s) in any modern data visualisation platform

· 2-5 years of experience working in a data analyst role, preferably in the healthcare industry

· Proven experience wrangling large datasets and in using data visualization tools such as Tableau or Power BI

· Proficiency in programming languages (Python, SQL) is essential

· Strong understanding of statistical methods and concepts such as hypothesis testing, regression analysis, and classification techniques.

· Experience with the ETL process and machine learning techniques would be advantageous

Interested candidates, please send your CVs on [email protected]

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

Position Overview:

We are seeking a visionary and experienced Senior Data Scientist to lead transformative initiatives that leverage Generative AI (GenAI) to enhance software development efficiency, augment data science workflows, and spearhead the development of GenAI agents for Smart Manufacturing. This role offers a unique opportunity to make a significant impact by driving innovation in a global manufacturing environment.

Key Responsibilities:

1. Generative AI Strategy and Implementation

a. Develop and execute strategies to integrate Generative AI tools and techniques into software development processes, improving efficiency and reducing development time.

b. Identify opportunities to augment data science workflows using GenAI, enhancing model development, data analysis, and feature engineering capabilities.

2. Team Leadership and Collaboration

a. Lead and mentor a cross-functional team of data scientists, machine learning engineers, and domain experts to design and implement GenAI solutions.

b. Foster a culture of innovation and continuous learning within the team.

c. Collaborate with stakeholders across engineering, manufacturing, and IT to align AI initiatives with business goals.

3. Pilot Development of GenAI Agents for Smart Manufacturing

a. Design and lead pilot projects to develop GenAI agents that enable smarter, more efficient manufacturing processes, including predictive maintenance, anomaly detection, and process optimization.

b. Evaluate and integrate emerging GenAI technologies to drive scalability and effectiveness in manufacturing applications.

4. Research and Innovation

a. Stay abreast of advancements in Generative AI, machine learning, and related fields to bring cutting-edge solutions to the organization.

b. Publish findings and contribute to thought leadership in the AI community to position the company as an industry leader in AI-driven manufacturing.

5. Data Governance and Ethical AI

a. Ensure compliance with data governance policies, ethical AI principles, and relevant regulations in all AI initiatives.

b. Champion transparency, fairness, and accountability in AI system design and deployment.

Qualifications:

· Education: MS in Computer Science, Data Science, Machine Learning, or a related field, PhD preferred.

· Experience: Minimum of 5 years of experience in data science, with at least 1 year in a role focusing on Generative AI and/or Smart Manufacturing.

· Technical Expertise:

· Proficiency in programming languages such as Python, R, or Java.

· Strong experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).

· In-depth knowledge of Generative AI models (e.g., GPT, DALL-E, Llama) and their applications.

· Expertise in data engineering, large-scale model training, and deployment.

· Leadership Skills: Proven ability to lead and inspire teams, manage complex projects, and drive cross-functional collaboration.

· Industry Knowledge: Experience in the manufacturing sector is highly desirable, with a strong understanding of smart factory operations and challenges.

Key Competencies:

· Strategic thinking with a focus on delivering measurable business value.

· Strong problem-solving and analytical skills.

· Excellent communication and presentation abilities, capable of articulating complex AI concepts to diverse audiences.

· A passion for innovation and driving change through AI technologies.

What We Offer:

· Opportunity to work on cutting-edge AI projects with significant impact on global manufacturing processes.

· A collaborative and dynamic work environment.

· Competitive compensation and benefits package.

· Professional development and learning opportunities.

Overview:We are seeking an AI and Analytics Specialist to find innovative ways to apply artificial intelligence and analytics to real-world Wealth Management challenges. You will work on enhancing client offerings or improving internal processes, constantly pushing the boundaries of how AI can be leveraged to drive value in a dynamic financial environment.

Responsibilities:

• Collaborate with the data hub team to deliver AI-driven data transformation projects.
• Understand business requirements and develop analytical solutions to address key business problems.
• Use design thinking to identify user pain points and areas where advanced analytics, such as Machine Learning and Natural Language Processing, can drive value.
• Design and develop machine learning models tailored to financial services.
• Build advanced analytics workflows, including feature engineering, model development, and insight visualization.
• Create dashboards for data storytelling and insights consumption.
• Develop reusable analytical assets to support various projects.
• Work with business and analytics teams to operationalize models and drive measurable business outcomes.
• Conduct regular audits to ensure model relevance and accuracy.
• Clearly communicate results and insights to stakeholders.

Qualifications:

• Strong strategic thinking around AI’s business value.
• Initiative and resilience to succeed in a highly regulated environment.
• Expertise in machine learning, NLP, clustering algorithms, and feature engineering.
• Proficiency in Python and tools like pandas, scikit-learn, TensorFlow, pytorch, and Flask.
• Experience with data visualization tools such as Power BI or Tableau.
• Ability to explain technical concepts to both technical and non-technical audiences.
• Scientific approach to experimentation and solution evaluation.
• A portfolio of previous AI projects or Kaggle competition experience is a plus.
• Degree holder.

This role requires a mix of technical expertise and business acumen, with the ability to innovate in the AI space within the wealth management domain.

Job Duties

• Responsible for delivering BIM implementation to the BIM Execution plan, implementing and enforcing BIM execution
• Creation and maintenance of the software template files to assure standards
• Provide support for plotting and electronic file submissions
• Assist in automating routines in BIM to support standards and productivity
• Provide quality control for completeness and adherence to company standards of all shop drawings produced
• Assist in developing and enforcing BIM Documentation and workflow process standards
• Assist in training and overseeing the day to day activities of the Revit Specialist to ensure BIM standards are maintained in the creation of Revit Model
• Support Project Standards Coordination with Stakeholders
• Assist on project work – modelling and detailing
• Help resolve BIM design issues
• Assist in Managing and distributing coordinated digital documents to the project team
• Linking BIM to Project Construction Administration Phase for Submission, shop drawing and modules
• Any other duties as assigned by the immediate superior

Job Requirements

• Diploma in Electrical, Mechanical or building services engineering.
• Minimum 4 Years experience in Construction, Design, Drafting and Coordination (services)
• At least 2 year of BIM Coordination or BIM Management Experience in a Design, Engineering or Construction firm.

Key Responsibilities:

1. Oversee daily on-site security operations to ensure a safe and secure environment.

2. Manage and coordinate with external security service providers to maintain high service standards.

3. Collaborate with the Security Operations Center (SOC) to meet local security operation and maintenance goals.

Qualifications and Skills:

1. Diploma in Security Management, Risk Management, or a related field.
2. Strong security awareness with a proactive approach to risk management.

3. Excellent communication skills, with experience in managing vendor relationships.

4. Proven experience in project management, with the ability to oversee security-related initiatives.

Job Descriptions (OnSite)

• Ensure all plant & equipment on site are well maintained as per the individual maintenance schedules
• Plan, supervise, and coordinate mechanical work activities to ensure smooth execution. Manage and lead a team of mechanical fitters, technicians, and subcontractors to meet project objectives.Attend to repairs or breakdowns promptly and resolve in a safe manner to ensure downtime and delays to the project are minimized
• Oversee the installation, alignment, and maintenance of mechanical equipment, including pumps, valves, compressors, and piping systems.
• Review and verify technical drawings, specifications, and blueprints to ensure accuracy during execution.
• Inspect completed work to ensure compliance with industry standards, project specifications, and client requirements.
• Address and resolve any quality-related issues promptly
• Prepare and submit daily progress reports, manpower records, and inspection checklists.
• Communicate effectively with project managers, clients, and stakeholders to provide updates and resolve concerns.
• Liaise with the electricians to resolve issues jointly
• Co-ordinate and plan for the correct tools to be available required for the task
• Any ad-hoc duties assigned by the department manager

Skills:

• Strong knowledge of mechanical systems, equipment, and tools.
• Proficiency in interpreting technical drawings, schematics, and manuals.
• Excellent leadership, communication, and organizational skills.
• Ability to troubleshoot and resolve complex mechanical issues efficiently.
• Familiarity with industry codes and standards, such as ASME, API, and ISO.

Job Requirement

• Bachelor Degree in Mechanical Engineering or related certifications
• Mechanical Trade certificates or short courses
• Total Relevant Work Experience: 7-8 Years
• Mechanical understanding relating to infrastrcuture
• Good understanding in reading and interpreting shop drawings
• Can do attitute and able to organise the contractors

Job Description:

As the Expert of his/her scope of activity, he/she:

• is actively involved in incident management (fault investigation, resolution escalations of all monitoring alerts and user initiated problem calls/tickets) and request management
• Is the final technical approver for any changes into Data Security systems and is accountable for any technical changes in the environment from a RUN/BAU perspective
• Is involved in projects like End of Life, New Builds, migrations and technical upgrades of the solution managed by the team
• Participates in global Infra events (like Power down and DR Tests)
• ensures activity is performed in compliance with norms, standards, processes and procedures
• gathering required evidence using multiple forensic tools to investigate any data leak incident, conducting interrogation if required, case closure and reporting
• ensures documentation is up to date and relevant for use
• lead the continuous improvement initiatives
• responsible to drive and deliver root cause for any high severity issues
• Focus on automation and optimum use of the team to improve efficiency
• Maintain appropriate knowledge to ensure to be fully qualified to undertake the role.
• Complete all mandatory training as required to attain and maintain competence

Qualifications:

• 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

• Good to have 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;

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

Key Responsibilities:

• Collaborate with business stakeholders to gather, understand, and translate data requirements into actionable solutions.
• Implement scalable and reusable data processes to meet evolving business needs.
• Work closely with engineering teams and external data vendors to troubleshoot and resolve technical data-related issues.
• Provide timely support to end users, addressing data queries and issues.
• Develop and maintain comprehensive documentation for data management activities, including operating models, processes, and test results.
• Monitor the effectiveness of data initiatives and recommend continuous improvements.
• Stay updated on the latest industry trends and best practices in data management.

Mandatory Skills:

• A degree in Computer Science, Information Technology, or related fields.
• Proven experience in data management areas such as metadata, data quality, and data discovery.
• Strong understanding of financial data and data management best practices.
• Demonstrated knowledge of data security and technical challenges faced by large organizations.
• Extensive hands-on experience with SQL and relational databases such as Snowflake, Microsoft SQL Server, and Oracle.
• Familiarity with data management trends and practices in the financial industry.
• Excellent analytical, communication, problem-solving, and documentation skills.
• Ability to work both independently and collaboratively as part of a team.

Preferred Skills:

• Experience with Python programming.
• Certification in data management or data quality (e.g., DAMA, CDMP).

EA License: R1873481

Company EA License: 11C4879

• Design, develop, and implement methods, processes, and systems to consolidate and analyze unstructured, diverse data sources, providing actionable insights and solutions for management.
• Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from various sources.
• Collaborate with business experts to enrich data and uncover meaningful insights for building actionable solutions.
• Automate repetitive data tasks to streamline processes and reduce manual intervention.
• Create data visualizations to effectively communicate findings and recommendations to stakeholders.
• Stay updated on industry trends and advancements in data science, machine learning, and artificial intelligence.
• Support the Global IFF Business Control team with task and project handling requirements.
• Provide assistance with administrative matters and handle ad-hoc tasks assigned by the Head of Department as needed.

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

This role will require him/her to support in the following tasks:

- Work closely as part of the agile product team to design, develop, test and deploy data analytics/scientist products (e.g. interactive dashboards, reports and machine learning models) under the guidance of the DSTA Product Manager.

- Conduct detailed requirements gathering and clarify requirements with the end users, when required, to formulate, translate and refine their business questions into technical and analytical requirements.

- Carry out data audits and technical feasibility assessments.

- Design and develop data analytics/scientist products with the necessary authorisation mechanisms and measures to meet business, user experience, performance and security requirements, using established processes and tools on the Authority’s Enterprise Data Analytics Platform.

- Work closely with relevant technical teams (e.g. Enterprise Data Analytics Platform team, Data Integration team, Database team etc.) during design, development, system integration, testing and deployment, implementing changes if required.

- Perform vulnerability assessments and code quality tests where applicable. Rectify any vulnerability or code quality issues surfaced.

- Conduct User Acceptance Tests based on acceptance criteria in Product Backlog, review feedbacks received and include them in the Product Backlog for prioritisation if applicable.

- Conduct end-user training, handover training and product demonstrations.

- Provide on-site support to troubleshoot any problems and address users’ queries relating to deployed data analytics/scientist products (interactive dashboards, reports and machine learning models).

- Develop and maintain documentations according to the Authority’s Quality Management System (QMS) guidelines (e.g. user guide, design specifications).

- Work with end-users to explore and analyse data for trends and insights relating to user business questions.

- Maintain existing dashboard for additional indicators/charts including raising Service Request (SR) for data extractions.

Qualifications:

Relevant educational credentials in a quantitative discipline (e.g. statistics, computer science, data science/analytics/engineer, or information systems)