We are looking for a experienced Business Data Analyst to manage projects on Data Quality, Data Discoverability, Data Ownership and Data Access for a reputed bank.

Mandatory Skill-set

• Bachelor's degree in Computer Science, Banking, or a related field;
• At least 3 to 5 years of proven experience in data issue management and data profiling within the banking industry;
• Demonstrated experience working as a Business Analyst, and understanding of banking products and processes;
• Strong hands-on expertise in SQL;
• Solid understanding of data quality principles;
• Excellent communication skills, with the ability to simplify and clearly explain complex data issues;
• Proficient in creating well-structured presentations with clear narratives and data analysis tailored to various audiences;
• Ability to work independently with minimal supervision, understanding business needs, and driving initiatives and cross-functional collaboration forward;
• Adaptable and thrives in a fast-paced, high-pressure, and ambiguous environment, with a strong sense of intellectual curiosity.

Desired Skill-set

• Hands-on experience in Python.

Responsibilities

• Facilitate alignment across cross-functional teams to drive measurable improvements in data quality;
• Ensure proper follow-up, status reporting, and timely resolution of issues raised in the Data Issues Log for both Singapore and overseas locations;
• Define critical data attributes and establish data quality requirements;
• Ensure data is fit for both operational and strategic use;
• Drive and foster cross-collaboration with RMG units on Data Governance matters;
• Host regular RMG Data Quality forums, including preparation of meeting materials, and represent RMG at Group-level Data Issue meetings;
• Organize cross-department discussions to address and resolve data issues;
• Collaborate with RMG stakeholders to review and enhance data quality monitoring reports and processes;
• Participate in data ownership discussions and ensure proper follow-ups;
• Assist in the review and setup of data access for users;
• Lead data management-related reviews, including BCBS239 annual reviews.

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

Company Overview:
A global leader in logistics and supply chain solutions is seeking a skilled and innovative Data Scientist – Business Insights & Automation to join our forward-thinking team. This role offers a unique opportunity to blend data science expertise with process automation to drive meaningful improvements across our operations.

Key Responsibilities:

• Data Analysis & Automation: Design, develop, and program methods to consolidate and analyze unstructured and diverse data sources, transforming them into actionable insights and automated solutions.
• Algorithm & Software Development: Develop algorithms, software programs, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
• Partner with Stakeholders: Collaborate with business experts to enrich data and deliver meaningful insights that inform strategic decision-making.
• Streamlining Operations: Automate repetitive data tasks, minimizing manual intervention and optimizing workflows to enhance efficiency.
• Data Visualization: Create compelling visualizations to effectively communicate findings and actionable recommendations to stakeholders.
• Stay Current: Keep up-to-date with industry trends and advancements in data science, machine learning, and artificial intelligence to ensure best practices.
• Cross-Functional Support: Provide assistance in administrative matters, global project handling, and other ad-hoc tasks as assigned by management.

Qualifications:

• Minimum diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• Minimum 2 years of experience in a data science role
  Experience in the logistics or supply chain industry is a plus.
• Proficiency in programming languages such as Python, R, SQL, and PowerShell, with expertise in data manipulation and analysis libraries.
• Experience with data visualization tools (e.g., Power BI).
• Strong understanding of automation techniques and tools to streamline processes.
  
• Strong analytical and problem-solving skills with an ability to translate complex business challenges into data-driven solutions.
• Effective communication skills for presenting findings to non-technical stakeholders.
• Strong knowledge of Microsoft Office Suite.

To Apply, kindly click on the "APPLY NOW" button.

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Chong Kar Ming (John) (R21101412)

Job Highlights

Salary: Up to $4200 per month

Contract Duration: 12 months

Working Location: Nearest to Caldecott MRT

Working Hours: Monday to Friday, normal office hours

Job Descriptions

R Programming:

• Develop reusable R scripts for data engineering, cleaning, transformation, and analysis
• Collaborate with researchers for code quality and consistency
• Implement statistical analysis and data modeling as required

Data Dashboard Development:

• Design and build interactive Power BI dashboards
• Work with stakeholders to identify key metrics and visualizations
• Ensure dashboards are user-friendly and aligned with business goals
• Regularly update dashboards with new data and features

Knowledge Sharing:

• Conduct Power BI workshops and training
• Create documentation and user guides for dashboards and R scripts
• Present insights to both technical and non-technical audiences
• Contribute to best practices for data analysts

Administrative Work:

• Assist with data collection and management
• Participate in team meetings and project planning
• Perform ad-hoc data analysis tasks as assigned

Job Requirements

• Only Singaporean need to apply.
• Degree in Psychology, Social Science or related field.
• Experience in qualitative and quantitative research methods
• Prior experience in using R is a plus!

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

POSITION SUMMARY:

This role is responsible for building and maintaining a robust data foundation to drive commercial growth, operational excellence, and data consolidation within the region. Reporting to the Senior Lead, Data & Analytics and collaborating closely with the Corporate team, you will be instrumental in designing, developing, and implementing data pipelines, data models, and AI algorithms to optimize commercial performance, improve forecasting, enhance supply chain visibility, and reduce data redundancy.

The overarching objective is to transform data into actionable insights to drive business growth and efficiency. You will work closely with cross-functional teams across the region to establish and streamline data processes, ensuring data quality and consistency. Your role will involve managing and optimizing diverse data sources, including sales, marketing, supply chain, finance, customer, and operational data, to derive actionable insights for business decision-making. By harnessing the power of data and AI, you will contribute to defining the future of customer experience and driving overall business success.

KEY RESPONSIBILITIES:

• Design, develop, and maintain efficient data pipelines to extract, transform, and load data from various sources, including ERP, CRM, supply chain systems, third-party platforms, e-commerce platforms (via APIs), and omnichannel engagement platforms into a centralized data warehouse and on-premise systems.
• Identify opportunities to consolidate data sources and reduce redundant data subscriptions, including from omnichannel engagement platforms.
• Develop and maintain a data catalogue to improve data accessibility for commercial teams and enhance data-driven insights from omnichannel customer journeys.
• Create and manage master data related to products, customers, suppliers, inventory, and third-party data to ensure data consistency and accuracy for commercial analysis and data consolidation efforts, including data from omnichannel engagement platforms.
• Develop and implement data models to support sales forecasting, customer segmentation, pricing optimization, and other commercial initiatives while aligning with the company's data consolidation strategy and leveraging data from omnichannel engagement platforms.
• Build and maintain a scalable and secure data infrastructure to accommodate increasing data volumes and variety to support commercial growth, data centralization, and integration of omnichannel engagement data across both cloud and on-premise environments.
• Collaborate with commercial teams and other departments to identify data-driven opportunities, including leveraging third-party data insights and data from omnichannel engagement platforms, and translate business requirements into actionable data solutions that contribute to data consolidation.
• Develop and implement a strategy to create a unique customer identifier across all omnichannel touchpoints.
• Identify and prioritize new data sources within the region, including data from emerging omnichannel engagement platforms, to enhance commercial intelligence and support business growth while considering opportunities for data consolidation and cost reduction.
• Conduct exploratory data analysis, including analysis of third-party data and data from omnichannel engagement platforms, to identify patterns and trends that can drive revenue growth, improve profitability, and inform data consolidation efforts.
• Ensure data quality and integrity, including validation of third-party data and data from omnichannel engagement platforms, through data profiling and cleansing to support accurate commercial reporting and data consolidation initiatives.
• Optimize data pipelines and query performance to handle diverse data sources, including data from omnichannel engagement platforms, efficiently and enable timely commercial insights while maximizing data utilization across both cloud and on-premise environments.
• Provide technical support to commercial teams and data analysts in utilizing data-driven insights, including those from omnichannel engagement platforms, to improve business performance and contribute to data consolidation goals.
• Collaborate with the Corporate team on data strategy, standards, and best practices to align regional data initiatives with overall commercial objectives, data consolidation efforts, and the effective utilization of omnichannel engagement data.
• Design, develop, and deploy AI models on-premise to address data privacy and security concerns.
• Manage data governance and compliance requirements for both cloud and on-premise data environments.

KEY REQUIREMENTS:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• At least 3 years of experience in data engineering, including data ingestion, transformation, and modeling, with a focus on integrating diverse data sources across cloud and on-premise environments. Experience with pharmaceutical industry data and regulations is a plus.
• Strong proficiency in SQL and data warehousing concepts for both cloud and on-premise platforms.
• Experience with Python for data manipulation and analysis, including API integration and model development.
• Experience with on-premise data management and security best practices.
• Understanding of cloud-based data platforms (e.g., AWS, GCP, Azure) and on-premise data infrastructure. Experience in Google Cloud Platform is preferred.
• Knowledge of supply chain management principles and processes is preferred.
• Able to process datasets in Mandarin language, and to interact and work closely with Mandarin- speaking stakeholders.
• An innovative mindset combined with an agile way of working and adaptability to a fast-paced environment.
• Strong analytical and problem-solving skills.
• Strong documentation skills.
• Excellent communication and interpersonal skills - Ability to communicate with both technical and business teams.
• Strong time management and organizational skills - Ability to manage multiple projects and prioritize tasks.
• Attention to detail and accuracy.
• Ability to work effectively both independently and as part of a team - Ability to work cross-functionally and across local markets within APAC region.
• Able to commit for 1 year contract.

COMPANY DESCRIPTION

A leading general insurer with a local presence of over 100 years, MSIG Singapore offers an extensive range of insurance solutions for commercial and personal risk protection, enabling the security and safety of individuals and businesses. MSIG Singapore holds an A+/Stable financial rating by Standard & Poor's.

A testament to its growing strength and influence, MSIG Singapore has garnered numerous awards for delivering digitally innovative and customer-centric solutions. In 2023, 2022 and 2020, MSIG Singapore was awarded Insurance Asia Awards' Claims Initiative of the Year.

MSIG is a subsidiary of Mitsui Sumitomo Insurance Co., Ltd, and a member of the MS&AD Insurance Group one of the largest general insurance groups in the world with presence in 50 countries and regions globally, 18 of which are in Asia Pacific including all ASEAN markets as well as in Australia, New Zealand, China, Hong Kong, Taiwan, South Korea and India. Headquartered in Japan, MS&AD is amongst the top non-life insurance groups in the world based on gross revenue.

RESPONSIBILITIES

• Assist Senior Vice President, Technical Services to provide actuarial services and analysis to the underwriting, claims, business development, reinsurance and finance managers.
• Introduce best practice actuarial science to the business process including premium rating
• Undertake any other duties as may be assigned.

• Preferably with Actuarial Science, Mathematics or Statistics degree and currently pursuing professional qualifications from the Casualty Actuarial Society/Institute of Actuaries/Institute of Actuaries of Australia
• Should ideally be one to two years from obtaining the professional qualification above

• Knowledge and experience in general insurance actuarial practice especially in areas of premium rating, portfolio monitoring, reserving, risk/financial/capital modelling
• Statistical knowledge
• Good understanding of data, actuarial software and programming languages including analytics and visualisation tools
• Preferably with experience in a consultancy firm or/and general insurance company
• Ideally a minimum of 2 years experience in a general insurance actuarial practice
• Business oriented, able to suggest practical recommendations
• Some general insurance business knowledge

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 6 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

The Senior Executive, Data & Digital Projects will undertake data analytics and audience research, optimizing CRM tools such as marketing automation to deepen audience engagement and facilitating data integration, as well as being a key member of the project team for future digital technology initiatives.

RESPONSIBILITIES:

Data Integration and Analytics

• Manage vendors in the data extraction, transformation, and loading (ETL) processes to ensure accurate and consistent data across all marketing systems.
• Help to oversee data hygiene by defining standards, ensuring compliance, and coordinating with external vendors to execute data cleaning and maintenance tasks.
• Generate project-based reports using data analytics skills and qualitative research, to inform planning.
• Organise and interpret information from company sources of data such as ticketing and viewership data to identify relationships and linkages, and assess best technique for analysis.
• Select appropriate data visualisation techniques and develop dashboards to reflect data trends and findings.
• Manage relationship with research agency and oversee audience satisfaction surveys and reports.

Marketing Technology

• Identify opportunities and evaluate risks of integrating digital technology tools, systems and software across work processes and activities.
• Assist with the set-up, maintenance and optimisation of CRM tools for customer journey builder and marketing automation to deepen audience engagement, and facilitate data integration flowing between CRM and other customer-facing channels.

Project Management

• Project-manage future digital technology projects as assigned, including gathering business requirements and approaching vendors for requests for proposals.
• Facilitate coordination and present regular project updates across the company as required.
• Develop strong relationships with internal and external stakeholders.

REQUIREMENTS:

• Passion for classical music.
• A university degree in Marketing, Business, Data Science, Information Systems, Computer Science, or a related discipline.
• Relevant coursework, certifications or experience in digital marketing, analytics, or data management will be preferred.
• Familiarity with CRM tools or marketing automation platforms (e.g. Salesforce Marketing Cloud) is a plus.
• Experience with Excel or other data analysis and visualisation tools.
• Strong analytical and problem-solving skills with attention to detail.
• Exceptional organizational skills, project management skills, good initiative and the ability to work under pressure.
• Resilient individual with positive energy and excellent writing and communication skills.
• Takes a collaborative approach to working with colleagues.
• Able to work flexible hours, including some evenings and weekends when needed.

The Mechanical Engineer is responsible for the engineering and delivery of mechanical and structural aspects of construction under direction from the Construction Manager. Their activities will involve coordinating design and construction efforts, resolving on site engineering issues and planning and tracking productivity targets.

Key responsibilities and accountabilities

Technical

• Design, integration & coordination, installation & commissioning of mechanical systems and services required for the project
• Liaise with Construction/Installation Manager to ensure job is on schedule on Site.
• Liaise with Client on all technical aspects of the project.
• Provides engineering advice for the Construction/Installation Team.
• Attends meetings with client on all disciplines of the work (i.e. 1 etc.) as required.
• Prepares with the Quality Manager all Inspection and Test Plans and associated Project Specific Procedures.
• Ensures that the quality requirements of the client are adhered to and that company procedures are followed.
• Coordination & integration of the design with other engineering design disciplines & services
• Ensure project timetabling requirements are met
• Development / production of inspection & test and operating & maintenance manual documentation.
• Ensure local regulatory and OHS requirements are maintained
• Ensure that the surveys of installations throughout the project are conducted in a professional manner with all results being reviewed and accepted by UGL. All actions resulting from these surveys are coordinated by the Engineer until completion.
• Provides written reports on engineering activities as required by the Project Manager.
• Mentor Engineering Graduates and Engineering Vacation Students (Engineering Assistant)
• Maintain documentation and registers
• Provide monthly reporting data to the Engineering Manager as required

Safety

• Undertake all responsibilities in a safe manner.
• Ensure a safe working condition is present for all employees, contractors and visitors.
• Participate in daily pre-start meetings.
• Use appropriate personal protective equipment and safety systems such as job safety analysis, pre-work checklists and risk assessments.
• Comply and have input into safe working procedures.
• Report hazards, incidents and accidents within company guidelines.
• Assist with safety sections for reports, tenders and proposals.
• Actively participate in safety training.

Other

• Prepare and implement Workpacks, including ITPs
• Detailed planning and engineering of works
• Procurement of suppliers and subcontractors
• Subcontractor and Supplier Management
• Monitor, control and update program and productivity metrics
• Enthusiastically and co-operatively undertake all site inductions as requested by the client.
• Proactively continuously monitor and evaluation systems and procedures specific to site works to ensure that they are up to date, compliant and up-to-date in line with best practice.
• Actively participate in regular learning and development programs to continually enhance and further develop skills and continuously improve capabilities and performance.
• Portray a professional approach at all times through attitude and appearance.
• Ensure that work space is well managed, tidy, organised and safe.
• Comply with all UGL systems and processes and expected behaviours and standards.

Qualifications and Education Requirements

• Mechanical Engineering Qualification.
• Minimum 5 years’ experience in project related disciplines.
• Significant engineering experience throughout, design, construction and commissioning on Brownfields and Greenfields projects.
• Technical experience includes; rotating equipment, static equipment, GE equipment, materials selection, hydraulic systems, pipelines and piping components
• Strong communication skills (oral & written) including strong negotiation and influencing skills and the ability to establish effective working relationships with a variety of people at different levels both internally and externally.
• Demonstrated ability to work independently to organise and prioritise demands, handle multiple complex tasks simultaneously, set and meet deadlines and follow-through within a fast paced environment with multiple and competing demands
• Proficient skills in computers: MS Word, Excel, Access, Outlook
• Leadership ability

Data Collection & Analysis
- Collect, clean, and validate data from various sources to ensure accuracy and completeness
- Analyse large datasets to identify trends, patterns and insights.
Reporting & Visualization
- Create reports., dashboards and visualization to communicate findings to stakeholders.
- Present actionable insights to support decision-making processes.
Collaboration
- Work closely with cross-functional teams (eg doctors, nurses, administrators,) to understand their data needs
Collaborate with IT and data engineering teams to improve data pipelines and infrastructure.
Process Improvement
- Identify opportunities for process automation and optimization using data-drive approaches.
- Develop and maintain documentation for data processes and analyses
Business Impact
- Translate data findings into strategic recommendations to improve business performance.
Communication
- Responsible for communication between staff and leadership of the hospital. Ensure timely dissemination of information, escalation of issues, recommendation, and implementation of solutions to problems.
Participate in committees and other tasks as and when assigned by Reporting Officer.

Job Requirements
- Min degree from a recognized institution
- Strong in data analysis tools such as Excel
- Strong statistical analysis and problem-solving skills.
- Attention to detail and a high level of accuracy.
- Ability to mange multiple tasks and meet deadlines.
- Analytical and with good communication skills (written & spoken).


Interested candidate, kindly send a copy of your resume to: [email protected]


Jessica Fong Zhi Tong [R1879124]
Email Address: [email protected]
Recruit Express Pte Ltd
EA Licence No: 99C4599

1) RESPONSIBILITIES

- Act as the primary point of contact for UPS OEMs and selected DC Key Accounts, collaborating internally to champion customers’ needs and drive outcomes.

- Create AOP for individual UPS OEMs together with HQ and regularly track progress.

- Actively pitch Hoppecke DC solutions to increase market awareness and acceptance.

- Provide prompt support to UPS OEMs or customers during project process.

- Liaising with product/technical teams from factories, regional technical team.

- Regularly update activities via CRM platform (Sales force) to track revenue and opportunities pipeline.

- Provide accurate monthly sales forecast to HOD.

Data Administrator (Excel/ SAP/ Contract)

6 Months Contract

Location: Tuas

Up to $4,000 depending on experience

Industry: Pharmaceutical

Our client aims at creating a new manufacturing concept consisting of a new generation of evolutive multi-product facilities, modular, adaptable, and agile, leveraging new disruptive technologies, to better address vaccine business challenges.

Responsibilities:

• Administration data entry clerk responsible for accurately inputting, updating, and maintaining data in computer systems.
• Accurately enter and update data in company database, ensuring timely and error-free processing.
• Verify and validate data entry through cross-referencing to maintain the integrity of the database.
• Collaborate with team members to identify and rectify data discrepancies.
• Adhere to data confidentiality and security protocols, safeguarding sensitive information.
• Participate in training sessions to stay updated on database management systems and procedures.
• Any other tasks as assigned by supervisor

Requirements:

• Proficient in data entry software and MS Office, especially Excel
• Typing speed of average 40-50 WPM with high accuracy
• Experience with SAP software
• Excellent understanding of data privacy standards
• Ability to manage large datasets without compromising accuracy or quality

Lim Pey Chyi - [email protected]

Recruitment Consultant (R2090579)

Manpower Staffing Services (S) Pte Ltd

EA Licence: 02C3423

Job Responsibilities:

• Design, build, and optimize machine learning models and algorithms to solve specific business problems.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models into production environments.
• Train and fine-tune machine learning models using appropriate algorithms and techniques. Evaluate model performance using techniques such as cross-validation, hyperparameter optimization, and ensemble methods.
• Deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.
• Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.
• Perform exploratory data analysis, generate insights, and present findings to stakeholders, using statistical methods and visualization techniques.

Requirements:

• Education qualification in Computer Science, Data Science, Machine Learning or relevant field
• At least 3 - 4 years' work experience in designing, developing, and deploying machine learning models in real-world applications
• Knowledge of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn)

(EA Reg No: 20C0312)

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

Only shortlisted candidates will be notified.

Responsibilities

• 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
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
• 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 .

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Responsibilities

• Develop and implement data science and AI roadmap and strategy to drive key AI initiatives across the group
• Lead data science and AI team in implementing and managing AI projects throughout their lifecycles to meet business and technical needs
• Set up and maintain sufficient compute infrastructure for training and deploying AI models in a cost efficient manner
• Gather and translate business and technical needs from internal and external stakeholders into metrics that can be optimized by AI models
• Collaborate closely with domain experts (e.g. chemists), IT engineers, software engineers, technology leaders and business leaders to ensure that data science and AI projects meet business and technical requirements
• Prepare presentations and reports on data science and AI project outcomes to facilitate senior management’s decision-making and strategic planning
• Keep abreast of latest developments and trends in data science and AI and implement best practices timely
• Enthusiastic about learning relevant domain knowledge of paints and coatings that is needed to successfully lead and execute data science and AI projects

Requirements

• Bachelor’s, master’s or PhD degree in computer science, AI, data science, electrical engineering, statistics, mathematics or related fields
• Strong knowledge and expertise in data science, AI, machine learning, deep learning, MLOps and project management
• At least 7 – 8 years of experience with leading and implementing data science and AI projects in a business environment
• Experience with programming e.g. Python
• Experience with using machine learning frameworks e.g. PyTorch, TensorFlow, Keras and scikit-learn
• Capable of working independently as well as in teams
• Excellent communication skills for presentations and reports
• Proficient in written and spoken English
• Experience with paints and coatings, chemistry or materials science is a plus
• Able to travel occasionally as and when required.

• Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties – Spark/Python on Glue, Redshift, S3, Athena, RDS-PostgreSQL, Airflow, Lambda, DMS, Code Commit, Code Pipeline, Code build
• Design and build production data pipelines from ingestion to consumption within a big data architecture, using DMS, DataSync & Glue.
• Understand the existing applications (including on-premise Cloudera Datalake) and infrastructure architecture.
• Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming.

Requirements

• 5 years of work experience with ETL, Data Modelling, Data Architecture to build Datalake. Proficient in ETL optimization, designing, coding, and tuning big data processes using Pyspark.
• Extensive experience in working on AWS platform using core services like AWS Athena, Glue Pyspark, Redshift, RDS-PostgreSQL, S3 & Airflow (for orchestration)

Interested applicants may send in their detailed resumes in MS Word format to [email protected], with subject title: 105-Data Engineer

(Reg. Nos. R1104128)

IT Consultancy & Services Pte Ltd

EA License No.: 92C5311

For more information about ITC, please visit us @ www.itcspl.com

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients
• Degree in Computer Science or IT or Business Analytics

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

Responsibilities:

• Deploy and maintain on-site data center physical infrastructure.
• Install, replace, and troubleshoot cables and hardware.
• Handle data-bearing devices (e.g., hard drives, SSDs).
• Work within a ticket-based environment.
• Move equipment using pallet jacks or lifting tools.
• Assist the Data Centre Inventory and Asset Management Team (DIAT) with shipping, receiving, and inventory management as needed.
• Work flexible hours, including weekends and holidays.

Education / Experience:

• Diploma / Degree in IT / Computer Engineering or equivalent.
• 1 year of IT support experience (Fresh graduates with a good attitude will be considered).

Skills:

• Basic knowledge of computer hardware and components.
• 6+ months experience handling technical equipment or machinery.
• 1+ years of IT equipment support experience.
• Relevant certifications: CompTIA (A+, Server+, Network+), Basic Structure Cabling (BSC).
• Ability to stand, walk, lift, and work at heights with or without equipment assistance.
• Willingness to learn and develop new technical skills.

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

We are looking for Data Analyst/Engineer to join a fast growing IT company!

• Exciting opportunity to work with a team of professional to deliver high quality applications
• Permanent position, positive working environment
• Salary up to $7,000 + AWS + bonus

Responsibilities:

• Develop, construct, test and maintain data architectures such as databases, data warehouses and large-scale data processing systems
• Design and develop data pipelines/systems for data modelling, mining and production
• Ensure the data architecture is in place to support routine and ad-hoc requirements of data analytics team, stakeholders and the business
• Leverage on variety of programming languages and data crawling/processing tools to make raw data clean and highly available for use in descriptive and predictive modelling
• Recommend and implement ways to improve data quality, reliability, flexibility and efficiency
• Ensure data assets and data catalogs are organized and stored in an efficient way so that information is easy to access and retrieve
• PL/SQL and SQL Tuning and optimization of newly develop and existing applications

Requirements:

• At least 3 years' working experience in data architecture, data warehousing, data processing, data modelling and ETL/ELT, familiarity with real-time streaming solutions.
• Working experience in Kubernetes-based DevOps practices such as container orchestration, CI/CD pipelines, and microservices deployment.
• Working experience in database development (Oracle SQL/PLSQL) and familiar with AWS cloud environment

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:
Contact you about potential opportunities.
Delete personal data not required at this application stage.
To withdraw consent, email [email protected].
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Liew Chien Hui (Vivian) - R2090138
ScienTec Consulting Pte Ltd – 11C5781

About the Role

We are seeking a skilled and experienced Data Engineer to join our team. The Data Engineer will be responsible for requirement gathering, strategizing, planning, implementing, maintaining, monitoring, and reporting on various aspects of our Data Engineering and Architecture Platforms. This role involves working closely with cross-functional teams to ensure the efficient and secure handling of data.

Responsibilities

Data Domain Management

• Interpret business workflows and data requirements.
• Conduct data exploration and create entity relationship diagrams.
• Develop data models and manage ETL processes.
• Create and service data pipelines.

Data Platform Operations

• Set up, install, and manage access controls.
• Monitor and maintain data pipelines to ensure quality data outputs.
• Validate data fusion processes for safe use.
• Data Platform Upgrade and Migration:
• Design, develop, and implement robust processes and automation.
• Conduct testing (unit testing, SIT, UAT) and implementation.
• Ensure secure and efficient data fusion, exploitation, and sharing.

Documentation and Administration

• Maintain data dictionaries and workflow processes.
• Report for Data Incident Concierge (DIC) and other documentation.
• Handle paperwork for data administration, including asset management and procurement of tools.

Collaboration and Continuous Improvement

• Collaborate with partners and cross-teams to benchmark best practices.
• Drive continuous improvement in data interpretability and searchability.
• Develop and maintain tools such as Microsoft Purview.

Requirements

• Minimum 4 years of hands-on experience in data engineering, systems implementation, or equivalent roles.
• Experience in data integration, analytics, system integration, and working on data pipelines.
• Knowledge of information management practices, including data lifecycle management, data modeling, and master data management.
• Experience in gathering requirements for data warehouses or similar systems.
• Familiarity with Change Management, Risk Management, and Incident Management.
• Experience supporting relevant Government Projects and understanding Government Data Governance Standards and Regulations (e.g., IM8, PSGA).
• Experience in public health or epidemiology is advantageous.

Technical Skillset

• Proficient in PySpark, SQL, and/or Python.
• Experience with large datasets.
• Proficiency in Microsoft Azure and Power BI is advantageous.
• Agile or other Project Management Methodology certification is a plus.

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make an impact happen with a career at TikTok.

The strategy team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and user engagement, which includes:

1. Build prediction/uplift NN model to improve LIVE feature intelligence;

2. Mine and interfere with potential crowds to gain a higher ROI operation for both LIVE streamer and watcher;

3. Make detailed analysis on user data and system data to find out user experience optimization zoom;

4. Other work like user growth strategy, cold-start strategy, etc.

Requirements:

1. Responsible for data science work related to the product and operation strategy of TikTok LIVE.

2. Analyse business data in different markets, formulate targeted strategies, and evaluate strategic benefits.

3. Build insights into different strategy scenarios, use data skills to deepen scenario understanding and promote decision quality.

Qualifications

1. Mathematics, statistics, computer science related majors, have experience of internet business.

2. Excellent thinking framework and scenaios understanding ability, good at using data analysis and other means to solve business problems.

3. Experience of casual inference, evaluation framework, data mining is preferred.

4. Understanding the principle of machine learning and recommendation algorithms is preferred.

Preferred Qualification

Minimum 3 years relevant work experience from a large-scale internet business

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.

Context:

• Data Solutions for Capital Markets IT (CMI) division which manages information systems for capital markets activities which includes Front Office (FO) booking platforms, Risk Management (RM) control and regulatory reporting systems, financial product and contract valuation systems, and much more.

Job Description:

• Contribute to IT initiatives for Antaes Asia clients.
• Delivery of comprehensive business analysis to provide solutions for business needs.
• Work with the project team including product owner, senior developers, architects, BA’s to deliver business requirements and improve business processes and systems.
• Work closely with stakeholders to define requirement and various artifacts around application development or enhancement.
• Specification of business rules for regulatory reporting, business operations and transformations.
• Functional design and testing of solutions.
• Maintenance and promotion of best practices around the data dictionary of the bank.
• Interaction with developers to define implementation specs
• Interaction with other IT teams to explain and communicate on Data services
• Assisting with the daily operations through Scrum, Jira and Kanban, techniques.
• Contribute to the promotion of Antaes services on top of assistance provided to clients.

Job Requirements:

• At least Bachelor’s Degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies) or related Finance fields.
• At least 2 years of relevant experience (Data Solutions)
• Strong communication to bring consensus on requirements.
• Functional knowledge of financial products, capital market processes & regulatory reporting.
• Knowledge on the MIFID2/SFTR/EMIR / any APAC transaction regulatory reporting principles is desirable.
• Strong problem-solving skills with ability to think out of box.
• Excellent communications and proven documentation capabilities.
• Skilled in Data analysis using database queries (SQL/Oracle/Sybase), TSQL.

Roles and Responsibilities

• Be part of the development core for one of the 6 pillars in the Digital Transformation Development team
• Produce initial development ideas, perform PoC and deploy the product in GCP under Agile framework
• Maintain and propose new ideas o enhance team practice in product development, including GitHub/Jira/Confluence usage
• Assist in creating data mart from ONE data warehouse in GCP environment whenever necessary
• Set up ETL job and maintain data accuracy with good knowledge of ONE data structure/data latency whenever necessary
• Guidance to junior staff members in the team, building up a solid support force for data science-related product development
• Keep track of latest development of projects and provide timely reporting to the management and comprehensive review/planning on a regular basis
• Any other ad hoc duties as assigned by supervisor.

Requirements

• Bachelor or above in Data Science, Analytics,Mathematics
• Minimum 4 years' experience in SaaS product development
• Ability to present complex analysis to a non-technical audience
• Proficiency in Python/SQL, as well as Cloud platforms (GCP preferred)/ Google Suite (Apps Script is a plus)/ GitHub/Jira/Scrum framework
• Good knowledge of data engineering that covers data governance, database architectures and data pipelines
• Good knowledge of mathematics/statistics/computer science/machine learning
• Strong problem solving and risk analysis skills to analyse internal system data, as well as the forecast system background data
• Ability to review complex information, perform comparative analysis, and make recommendations based on findings
• Ability to perform BI analytics to present insightful messages with follow-up actions

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Data Analyst

The successful incumbent will be responsible for establishing robust data processes (collecting, analysing, and interpreting) and maintaining data integrity in support of the company’s efforts towards leveraging high-quality data for decision-making.

· Ensures accuracy, completeness and data integrity by performing data validation, cleansing and normalization procedures.

· Manages and updates databases, data warehouses and data repositories to ensure data accuracy, consistency and accessibility.

· Performs data migration and standardization.

· Implements data validation and verification procedures by performing regular data audits and quality assessments.

· Recommends process improvements and best practices in data management.

· Collaborates with outsourcing team on data processing.

· Collaborates with stakeholders to define data requirements and KPIs for analysis.

· Develops and maintains Power BI dashboards to transform raw data into actionable insights.

Requirements:

· Bachelor of Science in Business Analytics or equivalent.

· At least 2 to 3 years of experience in master data management or similar.

· Proficient in Excel, SQL and data analysis automation.

· MSSQL & PL/SQL development experience is advantageous.

· Demonstrates strong data analytical and problem-solving skills.

· Proficient in data visualization tool especially in Power BI for creating reports and KPIs.

· Knowledge of business processes especially in purchasing activities or supply chain.

We regret to inform that only shortlisted candidate will be notify.

EA License No : 18C9228 REG No : R1324979 (Woo Kum Yoke)

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

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

Requirements:

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

For interested applicants, please click "Quick Apply”

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

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

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

Responsibilities :

• Understands the commercial cost/financial/budget impact of decisions to be taken, for any products/solutions to be developed, considering the overall impact to a customer proposal and recommending the appropriate solutions

• Participate in deep architectural discussions to ensure solutions are designed for successful deployment.

• Design of solution offerings including services, support, training (classroom, roundtables, webinars). Detail definition of Solution Components, Scope of Work, Deliverables, Effort Sizing and Pricing.

• Implementation planning and delivery for Proof Of Concepts (POC), Migration Services & Deployment Services.

• Work closely with the Sales team to provide full presales assistance in support of the successful achievement of sales targets while adhering to cost of sales objectives

• Self-sufficiency in leading pre-sales activities aiming to close sales opportunities.

• Achieving reliable, timely and high-quality design and deployment work.

• Any other duties as assigned by management.

Requirements :

• Minimum 2 years of hands-on experience as a consultant with pre-sales and implementation experience.

• Minimum 3 years of solution design and/or hands-on implementation experience as a Systems Engineer.

• Wide expertise of ICT field and systems, network, storage, virtualization, and/or security.

• Experience in building and migrating applications, software and services.

• Direct experience with Cisco routing/switching, wireless LAN controller, software defined Network, Load balancer (Netscalers).

• Motivated, self-starter, with strong presentation, communication, problem solving skills.

• Ability to address, persuade and interact with senior and executive level positions as well as all levels of system end-users.

• Knowledge of Competitive Products & Technology.

• In-depth knowledge of Implementation methodologies and best practices.

Qualification :

• University Degree in Computer Science or Computer Engineering or related field.

• At least 2 years’ experience in major IT Integration / User Interaction projects involving the whole business process.

• Fluency in English.

Working Location : East Central

**We regret that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**