Total 4,032 data entry job vacancies in Information Technology category in Singapore

The Role

As a Master Data Management and Governance Leader, you will be responsible for overseeing the management and governance of critical data assets within the organization. You will play a pivotal role in ensuring data integrity, accuracy, and compliance with regulatory standards. This position requires a strong understanding of data management principles, attention to detail, and the ability to collaborate across various departments to drive data governance initiatives forward.

Responsibilities we will trust you with:

• Lead the Master Data Organisation in designing, implementing and maintaining a comprehensive data governance framework that aligns with organizational objectives and regulatory requirements.
• Define Data Standards and Policies: Work with across the organization to establish data standards, policies, and procedures to ensure consistency, accuracy, and integrity across all data assets.
• Data Quality Management: Define data quality metrics and develop implementation strategies to improve data quality throughout its lifecycle.
• Master Data Management (MDM): Lead the master data management team, including the creation, maintenance, and enrichment of master data records.
• Collaborate with Stakeholders: Work closely with cross-functional teams, including IT, finance, operations, and compliance, to understand data requirements, address issues, and promote data governance best practices.
• Data Stewardship: Define and Assign roles and responsibilities for data stewardship and establish processes for data stewardship activities, such as data cleansing, validation, and reconciliation.
• Compliance and Risk Management: Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and industry standards. Identify and mitigate risks associated with data governance processes.
• Training and Awareness: Create learning programs and Conduct training sessions and awareness programs to educate employees on data governance principles, policies, and procedures.
• Continuous Improvement: Continuously evaluate and refine data governance processes to adapt to evolving business needs and technological advancements.

Your areas of knowledge and expertise that matter most for this role:

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Proven experience (1-5 years) in data governance, master data management, or related fields.
• Strong understanding of data management principles, data governance frameworks, and regulatory requirements (e.g., DAMA-DMBOK).
• Proficiency in data analysis tools and techniques. Experience with data governance software/platforms is preferred.
• Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
• Strong analytical and problem-solving abilities, with keen attention to detail.
• Ability to work collaboratively in a cross-functional team environment.

What you can expect from us:

• Work on world-class security projects renowned for their safety, reliability, and efficiency.
• Commitment to your ongoing development, including on-the-job opportunities, formal programs, and assistance with further education.
• Community volunteering opportunities.
• A competitive remuneration package featuring performance-based incentives, medical insurance, and a dental allowance.

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.

To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

We Are BCG X

We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.

What You'll Do

Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.

As a Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across a variety of industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions.

Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative.

We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following:

• Comfortable in a client-facing role with the ambition to lead teams
• Likes to distill complex results or processes into simple, clear visualizations
• Explain sophisticated data science concepts in an understandable manner
• Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
• Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data
• Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients
• Have strong project management skills

What You'll Bring

• Master’s Degree or PhD with significant relevant experience providing advanced analytics solutions. The degree should be in computer science, applied mathematics, statistics, machine learning, or a related data centric field.
• Demonstrated deep technical and data science expertise, acute strategic and analytical skills, ability to lead and persuade, drive and energy, and desire to work in a project-based environment on strategic issues.
• Strong record of professional accomplishment and leadership.
• Fluency in at least one scripting language (e.g. Python, R)

Additional info

Ability to travel based on client and business needs. Expect 30-50%

Contract: 1 year

Location: Redhill

Responsibilities

• Collecting and analysing data
• Developing surveys and conducting interviews
• Presenting findings and writing reports
• Other duties such as supporting the preparation of the Annual Report and preparing statistics on client profiles, may be assigned where necessary

Requirements

• Degree
• Good analytical skills
• Proficiency in Excel and SPSS, is preferred
• Experience with data analysis and/or conducting qualitative analysis will be advantageous

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Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Senior Data Engineer In this role, you can expect to: ● Support the business’s goal of democratisation of data and data products. ● Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting. ● Collaborate in partnership with diverse teams across organization such as product engineering, data science and business stakeholder teams to successfully deliverbusiness outcomes. ● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads. ● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and organization publications to deliver innovative and game changing data products and use cases. ● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases. ● Implement cloud-based scalable and reliable data pipelines at significant scale. ● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes. You should be able to: ● Build and maintain streaming and batch data pipelines. ● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts. ● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs. ● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products. ● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg. ● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports. ● Adhere and have practised Agile Methodology such as Scrum. ● Implement adhering to Master Data Management Best Practices and Principles. ● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling. It would be great if you had: ● At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles. ● Experience in data-related infrastructure deployments using Terraform Cloud. ● Experience in using Git for version and release management with knowledge in branching strategies. ● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight. ● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight. ● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts. ● Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders.

Senior Data Engineer In this role, you can expect to: ● Support the business’s goal of democratisation of data and data products. ● Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting. ● Collaborate in partnership with diverse teams across organization such as product engineering, data science and business stakeholder teams to successfully deliverbusiness outcomes. ● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads. ● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and organization publications to deliver innovative and game changing data products and use cases. ● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases. ● Implement cloud-based scalable and reliable data pipelines at significant scale. ● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes. You should be able to: ● Build and maintain streaming and batch data pipelines. ● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts. ● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs. ● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products. ● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg. ● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports. ● Adhere and have practised Agile Methodology such as Scrum. ● Implement adhering to Master Data Management Best Practices and Principles. ● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling. It would be great if you had: ● At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles. ● Experience in data-related infrastructure deployments using Terraform Cloud. ● Experience in using Git for version and release management with knowledge in branching strategies. ● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight. ● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight. ● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts. ● Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders.

In this role, you can expect to: ● Support the business’s goal of democratisation of data and data products. ● Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting. ● Collaborate in partnership with diverse teams across organization such as product engineering, data science and business stakeholder teams to successfully deliverbusiness outcomes. ● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads. ● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and organization publications to deliver innovative and game changing data products and use cases. ● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases. ● Implement cloud-based scalable and reliable data pipelines at significant scale. ● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes. You should be able to: ● Build and maintain streaming and batch data pipelines. ● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts. ● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs. ● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products. ● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg. ● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports. ● Adhere and have practised Agile Methodology such as Scrum. ● Implement adhering to Master Data Management Best Practices and Principles. ● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling. It would be great if you had: ● At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles. ● Experience in data-related infrastructure deployments using Terraform Cloud. ● Experience in using Git for version and release management with knowledge in branching strategies. ● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight. ● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight. ● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts. ● Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders

Salt is looking for a Data Center Operations Assembler on a 6 months contract for a leading client. In this role you will provide support for the ongoing operations in client's data centers located at 22 Loyang Drive , North-East, Singapore. You will replace parts, run cable, populate and depopulate racks, swap tapes and other various manual operations related tasks. You will also work as a member of a larger, coordinated team.

Key Responsibilities:

Transfer tools, parts, equipment, and supplies to and from work stations and other areas.

Maintain cleanliness of working environment Assemble/disassemble and populate/depopulate equipment racks.

Disassemble broken or failed hardware equipment and replace parts per defined process using hand and / or power tools

Run/install ethernet and fiber optic cable per defined process

Operate barcode scanners and associated software tools

Follow detailed instructions and perform other tasks as directed.

Must possess a positive attitude and be be able to work well within a team oriented environment

Minimum Qualifications:

High school diploma. In lieu of education, 2 years of relevant experience. 3 years of general work experience in some skilled (non-technical) field Speak and write English and fluently and idiomatically.

Strength: Medium to heavy materials handling required e.g. lifting, pushing/pulling, etc. Must be able to exert muscle force to lift at least 50 lbs (23 kg)

Preferred Qualifications:

Stamina: Must be able to exert yourself physically over extended periods of time including frequent bending, kneeling, climbing, pushing / pulling and lifting

Manual dexterity: Must be able to perform component level repairs on equipment

Comprehension: Must be able to understand and execute frequent oral and written instructions

Attitude: Must possess a positive attitude and be be able to work well within a team oriented environment Environment: Must be comfortable working in a physically demanding environment

Shift-work / Holidays: Must be willing and able to be flexible in work schedule, including working holidays and shift based schedules

If keen, please share your updated CV at [email protected] or apply directly.

(CEI No: R1654663 / EA No: 07C3147)

Bigdata Data Engineer

• 10+ years of experience required in Big Data such as Hadoop
• Working Experience in ECS(Open Shift), Shell scripting
• Experience in Financial sector is an advantage
• Resource should be able to work with multiple stakeholders/teams
• Should be able to understand the application data model and able to explain the functional requirements to stakeholders
• Need to take the ownership for the tasks assigned and deliver them successfully
• Quick understanding the new concepts and application details
• Strong communication and presentation skills

Responsibilities:

• Structures the technical work of a portion of a project or a small project
• Provides technical leadership to team members
• Develops or assists in the development of technical strategy
• Creates or assists in the creation of project plans
• Assists in the design of the systems and application programs
• Manages, monitors and communicates the execution of a project plan, including quality and completion of own work while simultaneously monitoring the work of team members

Job Description:

Contribute to strategic initiatives and support management in driving department transformation – As a valued member of the team, you will have the opportunity to actively contribute to strategic initiatives and support management in driving transformative changes within the department. Your insights and expertise will be instrumental in shaping the future direction of the data centre and its operations, enabling us to stay ahead in a rapidly evolving industry.

Be part of the transformation team to change the way we work in data centre and its operations – As a member of the transformation team, you will play a vital role in driving change and innovation within the data centre and its operations. You will actively participate in identifying areas for improvement, implementing new processes, and fostering a culture of continuous improvement.

Acts as the first-line problem solving reference point, addressing computer operations / batch operation issues as they occur and escalating problems – You will serve as the primary point of contact for troubleshooting and resolving computer operations issues, provide immediate support and escalate problems as necessary to ensure timely resolution.

Supervise the development and implementation of new procedures to improve computer operations and efficiency – You will lead the development and implementation of new procedures to enhance the efficiency of computer operations while ensuring adherence to established procedures and standards.

Drive daily huddles with team members to review work assignments and project tasks, set priorities, and communicate issues – You will conduct daily huddles with team members to review ongoing work assignments and project tasks by setting priorities and provide clear guidance on expectations and deliverables

Regional collaboration for computer operations to determine current state and potential for synergistic operations – You will collaborate with regional teams to assess current service levels and identify areas for improvement by gathering feedback and requirements to enhance the quality and efficiency of computer operations.

Develop and enhance new/existing documentation and procedures for key activities and processes – You will develop comprehensive documentation and procedures for activities and contribute to the development of department-wide standards and policies.

Ensure batch operations checklists are maintained for operational status and problem history – You will provide oversight by maintaining and updating batch operations checklists to track operational status and ensure incoming shifts have a comprehensive understanding of operational history.

Coordinate the Data Center scheduled shutdown with all related business unit to ensure completeness of the activity – You will coordinate and plan the data centre scheduled shutdown activities by collaborating with all related business units to ensure a smooth and complete shutdown to minimize disruptions and ensure successful execution.

Qualification Requirements:

• Diploma or Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience in data center operations, with a managerial or supervisory role is an added advantage.
• Strong knowledge of data center batch operations, computer systems, and networking technologies.
• Proficiency in Python programming language.
• Experience in SQL and R/ Python (Or other tools for statistical analysis) and data visualization tools for statistical reporting is an added advantage.
• Proficiency in UI/UX design principles and methodologies.
• Experience in designing user-friendly interfaces and enhancing user experience.
• Ability to translate complex information into intuitive and visually appealing infographics.

Working Experience/Skills:

• Proven experience in driving automation and process improvement using Python.
• Hands-on experience with Python libraries and frameworks such as NumPy, Pandas, or Django.
• Have a strong sense of ownership and pride in your performance and its impact on the company's success.
• Possess critical thinking and problem-solving skills to manage issues that surface over the course of work quickly and efficiently.
• Be a team player with excellent consultative and communication skills, proven ability to work effectively with internal and external IT/non-IT stakeholders, vendors, and consultants.
• Knowledge and working experience with an understanding in data centre key operation functions, including enterprise reporting, enterprise scheduling, data centre operations and data centre facilities management, would be a plus.

Project Description:

We are seeking a highly skilled and experienced Data Engineer to join our Data & Analytics team. The ideal candidate will have a strong background in Snowflake SQL, investment reporting data, and financial knowledge related to investment management. As a Data Engineer, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support investment reporting and analytics.

Responsibilities:

• Data Infrastructure Development:
  - Design, implement, and maintain scalable and efficient data pipelines using Snowflake and SQL.
  - Develop data models, ETL processes, and data integration workflows to ensure high data quality and reliability.
  - Optimize data storage and retrieval performance in Snowflake.
  
  Data Manipulation and Transformation:
  - Perform complex data manipulation and transformation using SQL to prepare data for analysis and reporting.
  - Implement data cleansing, aggregation, and enrichment processes to ensure data accuracy and consistency.
  - Develop and maintain reusable SQL scripts and stored procedures for data processing.
  
  Collaboration and Support:
  - Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet their needs.
  - Provide technical guidance and mentorship to junior data engineers and other team members.
  - Work closely with IT and DevOps teams to ensure seamless data integration and deployment.
  - Data Layer Preparation:
  
  Design and build data layers to support various analytical and reporting needs.
  - Ensure data layers are well-documented, easily accessible, and performant.
  - Implement data governance and security best practices to protect sensitive information.
  - Performance Tuning and Optimization:
  
  Monitor and optimize the performance of data pipelines, databases, and queries.
  - Identify and resolve performance bottlenecks to ensure timely and efficient data processing.
  - Stay up-to-date with the latest trends and best practices in data engineering and apply them to improve our data infrastructure.

Mandatory Skills Description:

• Education:
  - Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
  
  Experience:
  - Minimum of 5 years of experience in data engineering, with a strong focus on SQL and data manipulation.
  - Proven experience working with Snowflake or other cloud-based data warehousing solutions.
  - Strong background in designing data model and building scalable data pipelines and data models.
  - Solid understanding of financial instruments, investment operations, investment reporting and portfolio management concepts.
  - Knowledge of investment performance measurement, risk analysis, and portfolio management concepts.
  
  Skills:
  - Expert-level proficiency in SQL, with the ability to write complex queries and optimize them for performance.
  - Strong experience with ETL tools and processes.
  - Familiarity with programming languages such as Python.
  - Knowledge of data governance, security, and compliance best practices.
  - Excellent problem-solving and analytical skills.
  - Strong communication and collaboration skills.

• 5+ years of IT experience with hands-on expertise in data analysis and Oracle SQL /UNIX Scripting.
• Experience in Financial sector is an advantage
• Resource should be able to work with multiple stakeholders/teams
• Should be able to understand the application data model and able to explain the functional requirements to stakeholders
• Need to take the ownership for the tasks assigned and deliver them successfully
• Quick understanding the new concepts and application details
• Strong communication and presentation skills

Your new company

Be a part of a global tech company, engaging in new technologies.

Your new role

* Structure data sets in order to launch a new sales optimisation process

* Perform large scale data analysis to identify trends and efficiency opportunities
* Support implementation and optimization for company’s Programmatic monetization and Platform solutions.
* Support sales users through our email customer service tools.
* Troubleshoot account issues where required and provide account administration support.
* Contribute to automation efforts and offer possible solutions to increase operational efficiencies.
* Perform other administrative and operational role-related tasks such as: creating reports, presentations, communicating with stakeholders.

What you'll need to succeed

* Creative problem-solving, analytical skills, comfortable handling and interpreting data.

* 3 years of work experience with Account Management, Ad Operations or Project Management (experience with AdX, AdSense, AdMob, and DFP a plus).

* Broad understanding of online advertising solutions (i.e. ad serving, monetization) and of key platforms and trends (i.e. desktop, mobile, video).

* Written and oral fluency in English.

* Advance knowledge of Microsoft Office Suite: Excel, Word, PowerPoint & SQL.

* Strong professional etiquette, organizational skills and attention to detail.

* Ability to work through large volumes of support requests from our internal Sales customers within specified time frames.

What you'll get in return
This is an exciting opportunity to join a global firm. You will be part of a dynamic team and you will be remunerated at market competitive rates.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call Denise at Hays on +65 9611 0531 or email [email protected] for a confidential discussion.

Referrals are welcome.

EA Reg Number: R21103035

EA License Number: 07C3924 | Company Registration No: 200609504D

Job Description

SIA has multiple positions for generative AI/deep learning experts to drive our AI and data science initiatives.

Key Responsibilities include:

• Member of the in-house AI Center-of-Excellence team that works on challenging problems in advanced AI (including areas on generative multimodal AI, autonomous agent, NLP, computer vision, recommender system), mathematical optimization, game theory, and experimental design.
• Research and develop advanced machine learning algorithms to meet complex product requirements. The scope includes defining hypotheses, executing necessary tests and experiments; evaluating, tuning and optimizing algorithms and methods; and having an eye towards cloud implementation ease, scalability, and robustness in a live customer facing production environment.
• Provide technical direction and guidance to a small and highly skilled team of junior and senior data scientists embedded in Kanban data squads. These squads deliver products/services in generative AI, data science and data analytics to stakeholders in a large number of business units. Serve as a go-to technical expert in your area of AI expertise.
• Work closely with business stakeholders to create impactful and intelligent features/products. Collaborate with other team members including data scientists, data engineers and data strategists. Strategic ownership of all critical end-to-end AI processes.
• Administer/maintain performant cloud and on-premises GPU compute resources that train large ML models and provide inference API microservices in production.

Requirements

• PhD degree related to computer science, machine learning or other AI disciplines is required (consideration will be given to exceptional candidates without advanced degrees).
• Demonstrated intellectual firepower as a rapid problem-solver and tech lead.
• Advanced programming skills in Python. Strong technical skills in algorithm design/analysis, data structure and SQL. At least intermediate-level mastery of functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java or C# is a must.
• Hands-on proficiency in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• 3 or more years of relevant industry experience as a hands-on technical expert in shallow and deep machine learning, with additional specializations in most of the following areas:

1. Experience in the use of recent proprietary/open-source LLM APIs (such as OpenAI GPT-4, Anthropic Claude 2, Google PaLM 2, or Meta LLaMA 2); software development skills involving multi-agents and prompt engineering using LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Highly conversant with GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Demonstrated ability in rapidly adapting, training and deploying state-of-the-art AI models or services in production based on the latest published research papers and open-source code.
4. Familiarity of Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Significant hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Excellent mentoring, interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Job Description

At its core, this is a principal software architect position - with prior working experience as a software developer implementing, e.g., modern distributed systems, cloud-based data lakes, and open-source data engineering platforms. The successful candidate will play a lead role in the Data Engineering and Analytics team of Scoot’s Information Technology Division.

Key Responsibilities

• Provide technical leadership and guidance for data engineers in Scoot. Drive the overall technical vision and roadmap for evolving Scoot’s distributed data management systems and data analytics.
• Be an effective implementer and technical mentor for the team in the following core activities:Design and develop new systems architecture for data engineering services and their ecosystem, including distributed databases (relational, columnar, graph, in-memory); cloud DevOps with IaC (Infrastructure-as-Code); and other big data technologies.
  Maintenance and evolution of existing Google Cloud data warehouse/data lake systems.
  Design data models for mission-critical and high-volume near-real-time data; build idempotent/atomic production data pipelines to make data ingestion robust and fault tolerant.
• Assist in the stakeholder management and resolve resource conflicts within or between agile teams. Lead projects involving high level of coordination among departments and business areas.
• Any relevant ad-hoc duties.

Requirements

• BS degree in Computer Science or a related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.
• 7 years or more relevant industry experience in the following technical areas:

1. At least intermediate-level knowledge and experience with Google Cloud and its best practices. AWS cloud experience is a plus.
2. Advanced programming skills in Python. Conversant with data structure, algorithm design/analysis, and SQL. Substantial exposure on functional/object-oriented programming using a modern programming language (such as Scala, Java, C#, and TypeScript/JavaScript) is a plus.
3. Exposure in the use of workflow/map-reduce and stream processing systems for big-data processing, such as Spark and Kafka.
4. In-depth understanding of modern ETL methodologies. Experience in building data pipelines using modern data ingestion platforms, including open-source ones.
5. Experience in the deployment of object stores and data warehouses - such as Amazon S3, and Google GCS and BigQuery.
6. Experience in modern software development is a plus (such as in web frontend UI and backend API microservice).

• Proven experience in technical leadership. Capable of mentoring a data engineering team in delivering on multiple competing priorities with little supervision. Seasoned resource estimation, planning, and negotiation skills to work with diverse stakeholders.
• Prior experience with managing software development teams using Agile/Scrum/Kanban methodology is a plus.

Job Description

The senior data engineer is a senior software developer with strong software engineering skills who is responsible for building custom open-source-based data ingestion and MLOps platforms. He/she has deep appreciation of the complexity of the data engineering process, such as the challenges of data ingestion involving large or near-real-time datasets, the maintenance of high data quality, and the importance of automation for increasing pipeline robustness and reducing the need for human intervention.

Key Responsibilities include:

• Be an effective distributed-system implementer in the following core activities:Design and develop data engineering services and their ecosystem using distributed databases (relational, columnar, graph, in-memory); orchestration (Apache Airflow); and distributed stream/batch data processing (Kafka, Kinesis, Spark).
  Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.
  Design data models for mission-critical, high-volume, near-real-time/batch data; build idempotent/atomic production data pipelines to make data ingestion more fault tolerant.
  Design and develop intuitive, highly automated, self-service data platform functions for business users.
• Explore, evaluate and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements

• BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.
• 3+ years of relevant industry experience in some or most of the following technical areas:Advanced programming skills in Python. Conversant with data structures and algorithm design.
  Experience in building data pipelines (including data collection, warehousing, processing, analysis, monitoring, and governance) using open-source data ingestion platforms.
  Intermediate-level knowledge and experience with AWS cloud components and best practices. Good understanding in deploying data stores such as S3, RedShift, Elasticache, PostgreSQL, and ClickHouse.
  Prior experience in modern software development is required (such as web frontend UI, backend API microservices, understanding of CI/CD and Scrum/Kanban agile development). Strong grasp on object-oriented or functional programming (using e.g. Python, Java, Scala, or C#).

Job Description

The Data Analytics Engineer is responsible for designing and developing robust, scalable data pipelines, data marts and business intelligence dashboards to be used across Singapore Airlines Group.

Key Responsibilities include:

• Understand business processes, applications and how data is created, stored and gathered in Singapore Airlines.
• Use big data tools and platforms to create and maintain data pipelines, making sure pipelines are robust, scalable, and reliable. Troubleshoot and rectify issues with data pipelines as necessary.
• Build expertise and domain knowledge on the data. Establish and own the data quality and SLA for various data flows.
• Explore, analyse, and aggregate various types of data to provide business insights to the data team stakeholders. Create compelling story and visualisation to convey these insights. Ask right and inquisitive questions of the data to deliver analytics solution to the business.
• Design, build and manage data marts to satisfy our growing data needs.
• Any other ad-hoc duties.
• This is an individual contributor role.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS degree in Computer Science or a related technical field. MS or PhD degree is a plus.
• Python development experience in production environment is required.
• More than 2 years of SQL (such as PostgreSQL, Oracle, AWS Redshift, GCP Big Query, or Hive) experience is required. NoSQL experience is a plus.
• More than 2 years working with Linux OS. Knowledge of networks and cybersecurity is a plus.
• Experience working with infrastructure-as-code systems like AWS CloudFormation. DevOps, AWS and GCP experience is a plus.
• Experience in working with a commercial ETL tools like Ab Initio and Talend would be a plus.
• Experience in ETL pipeline design, implementation and maintenance.
• Experience working with visualization tools (specifically Tableau would be preferred).
• Ability in analysing data to identify deliverables, gaps and inconsistencies.
• Ability in managing and communicating data mart plans to internal customers.

Job Description:

• Enter and verify large amounts of information accurately and consistently from process Batch Records. Provide timely and accurate entry of process data in support of daily process monitoring and associated activities
• Manage special requests for data collection, completion and/or verification
• Help to ensure all data entry system procedures and guidelines are accurate and current. Ensure 100% accuracy of all information entered, right first time
• Manage and Track workload, ensure all necessary process data is located and entered. Develop and utilize existing tools to examine, manage and track process data.
• Perform validation of new or modified GDM objects. Support GDM administrators to ensure GDM objects are validated per procedure.
• Support administration of new and legacy data collection systems.
• Support creation and management of Webstatistica user credentials  Interact with and support data consumers and analytics. Routinely interact with data consumers, help to create necessary efficiencies. Work to build user confidence in the system
• Observe how Lonza users interact with GDM, understand their needs provide support as required
• Resolve data entry related analytics problems with users
• Follows all training and policy guidelines established for the facility as well as all cGMP requirements.
• Ensures employee training profile is up to date at all times by regular monitoring of training lists (e.g. SAP Learning Portal) and completing all training in a timely fashion.
• Any other duties as assigned by your Supervisor/Manager

Requirements:

• Min Diploma in Science or other equivalent
• No experience needed as training will be provided
• Able to commit for 1 year
• Able to start ASAP

If interested, please email me at [email protected]

➖

Alex Goh Hock Leong

(CEI.No: R1763413 l Recruit Express Pte Ltd (Healthcare & Life Science) | 99C4599)

[email protected]

Company Profile

The company is an American multinational corporation and Technology Company, which is a place where extraordinary people gather to do their best work and to make a real impact!

The company is seeking an experienced data scientist to join Planning & Procurement team in Singapore - who can use automation tools and data to support business and drive continuous product and process improvement and achieve productivity and efficiency target.

Job Descriptions

• Create, maintain, and improve applications, tools and automation to support business productivity and excellence
• Partner closely with business function to enrich and consume data to address business questions and support service supply chain operations insights
• Wrangle and analyse data to identify patterns, trends and feature engineering
• Evaluate business needs through in-depth conversations with business users to understand the domain and data science for insights

Job Requirements:

• Knowledge of database technologies such as Teradata, Snowflake or MySQL with strong SQL execution and optimisation skill
• Highly proficient in Python for data science
• Proficiency in more programming languages and experience on web application development is a plus
• Knowledge on REST APIs, shell scripting, Git/Github and Jenkins or experience for version control and reproducible code
• Background in supply chain/customer service, statistic, operations research, mathematical modelling
• The ideal candidate will have outstanding interpersonal skills, proven data science and advance analytics capabilities, strong business acumen, and highly developed drive to deliver results
• A self-starter, comfortable with ambiguity and enjoy working in a fast-past dynamic environment. Innovative and strategic approach to reporting and business analytics

Qualification & Experience:

• 3+ years’ experience in a similar field
• Degree or equivalent in Computer Science, Mathematical/statistical/Data analytics & business intelligence degree and has more than 3 years of experience in data science or software development is preferred

Data Scientist

Our client is a bank.

Job Description:

• Participate in end to end process from Data Preparation to final Deployment and Monitoring

• Conduct R&D for exploration of new AI/ML use cases

• Responsible for consolidating best practices

• Develop, deploy and monitor model performance, including documentation and maintenance

• Focus on Data Interpretability and AI ethics

• Apply data mining techniques and statistical analysis to uncover insights from data

• Translate business requirements into technical specifications and implementation

• Present Data analysis/Model findings

Job Requirements:

• Degree in any relevant discipline

• 4 to 8 years of Data Scientist experience

• Salary ranges between S$7,000 to S$10,000 per month

Please send your application directly via [email protected] for a faster response.

Only shortlisted candidates will be notified.

(Jann) Tan Wei Ying (R1103708)

Email Address: [email protected]

Recruit Express Pte Ltd

EA License No: 99C4599

Recruiter's Ref Code: #BJJ

Job Responsibilities:

1. Act as the project manager for the client's post-signing delivery services, assisting the client with data integration and ensuring the client's activation and continued use of the product.

Specifically includes:

- Communicate with clients to prepare project plans and project timelines based on client requirements, organize relevant meetings, and manage and drive the project progress.

- Manage client's data integration requirements, collect and prepare related resources.

- Collaborate with the product development team to complete the customized development of data integration based on Python.

- Assist clients in importing accounts and transactions, and complete account balance verification based on data integration work to ensure data accuracy.

- Collaborate with the financial consulting team to deliver financial solutions to clients.

2. Build a product community of satisfied customers, collect customer feedback and testimonials, and write customer case studies.

3. Develop optimal action plans and execute on product upsell opportunities as they arise. Responsible for helping to complete renewals and reminding sales specialists to assist customers with the purchase process.

4. Ensure that customers continue to use the product to ensure the sustainability of the monthly fee revenue, and conduct quarterly visits to the responsible customers.

Competency Requirements:

1. 5-8 years of relevant work experience in data analysis, data implementation, or data development, with a minimum qualification of Degree or equivalent.

2. Excellent Python development skills, familiar with data development packages such as pandas, numpy, etc., familiar with blockchain industry-related data structure, able to independently research data requirements and complete code development.

3. Experience in project management (data integration, digitization, consulting projects, etc.), able to formulate project proposals and plans, and organize project meetings

Additional Points

1. Experience with blockchain industry is a plus.

2. Financial background or related experience, CPA-related qualification.

3. Fluent in English and Chinese to communicate with stakeholders.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gxZTStP4

• Strong support from management to invest in data analytics
• Work together in a sizable data team

About the company

Our client is an established end user company. As part of their plan to invest in technology, they are now hiring a new Data Analyst to join their team.

About the job

Reporting directly to the Head of Data, your will be

• Responsible for developing, implementing, and managing Business Intelligence (BI) solutions .
• Collaborate with various departments to deliver insightful reports and analytics that support business strategies and goals.
• Develop and maintain ETL processes for ingesting data from various sources
• Developing and deploying data engineering solution

Skills and experience required

As a successful applicant, you will have at least 5 years of experience in Business intelligence and Data engineering. Experience with Data warehouse or ETL is required for this role.

Whats on offer

This is an excellent opportunity to join an established company with the opportunity to apply data analytics to create value for the business.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gxZTStP4 (EA: 94C3609/ R1219669)

In this role you will provide support for the ongoing operations in our data centers. You will replace parts, run cable, populate and depopulate racks, swap tapes and other various manual operations related tasks. You will also work as a member of a larger, coordinated team.

Key Responsibilities:

• Transfer tools, parts, equipment, and supplies to and from work stations and other areas.
• Maintain cleanliness of working environment Assemble/disassemble and populate/depopulate equipment racks.
• Disassemble broken or failed hardware equipment and replace parts per defined process using hand and / or power tools Run/install ethernet and fiber optic cable per defined process Operate barcode scanners and associated software tools Follow detailed instructions and perform other tasks as directed.
• Must possess a positive attitude and be be able to work well within a team oriented environment

The Successful Applicant:

• High school diploma and at least 2 years of relevant experience. or 3 years of general work experience in some skilled.
• Must be able to exert yourself physically over extended periods of time including frequent bending, kneeling, climbing, pushing / pulling and lifting Manual
• Must be able to perform component level repairs on equipment
• Must be able to understand and execute frequent oral and written instructions
• Shift-work / Holidays: Must be willing and able to beflexible in work schedule, including working holidays and shift based schedules

Our client is reputed organization in the media firm

Responsibilities:

· Support the business’s goal of democratisation of data and data products.

· Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting.

· Collaborate in partnership with diverse teams across SPH such as product engineering, data science and business stakeholder teams to successfully deliver business outcomes.

· Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads.

· Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and SPH publications to deliver innovative and game changing data products and use cases.

· Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases.

· Implement cloud-based scalable and reliable data pipelines at significant scale.

Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes.

Skills/Requirement:

You should be able to:

● Build and maintain streaming and batch data pipelines.

● Build and maintain transactional and analytical data schemas for data lake, datawarehouse and data marts.

● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs.

● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products.

● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg.

● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports.

● Adhere and have practised Agile Methodology such as Scrum.

● Implement adhering to Master Data Management Best Practices and Principles.

● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling.

It would be great if you had:

● Relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles.

● Experience in data-related infrastructure deployments using Terraform Cloud.

● Experience in using Git for version and release management with knowledge in branching strategies.

● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight.

● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight.

● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts.

● Good communication skills for Data and Analytics concepts and methodologies andhow they are relevant to your stakeholders

We regret to inform that only shortlisted candidates will be contacted.

PERSOLKELLY Singapore Pte Ltd • EA License No. 01C4394 • EA Registration No. R1551626 (SUJA THERESA FRANCIS)

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

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Responsibilities

● Support the business’s goal of democratisation of data and data products.

● Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting.

● Collaborate in partnership with diverse teams across such as product engineering, data science and business stakeholder teams to successfully deliver business outcomes.

● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads.

● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and publications to deliver innovative and game changing data products and use cases.

● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases.

● Implement cloud-based scalable and reliable data pipelines at significant scale.

● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes.

Required Skill

● Build and maintain streaming and batch data pipelines.

● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts.

● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs.

● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products.

● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg.

● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports.

● Adhere and have practised Agile Methodology such as Scrum.

● Implement adhering to Master Data Management Best Practices and Principles.

● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling.