Mandatory Skills

Responsibilities:

1. Utilize extensive financial datasets to drive the bank's Treasury and Market department's data science solutions for pricing, campaign optimization, and customer hyper-personalization.
2. Work with quants, traders and dealers to solve complex optimization problems using advanced machine learning and quantitative methods.
3. Develop causal models and optimization algorithms to dynamically price financial products and respond to market volatility.
4. Strategize, execute, and evaluate marketing campaigns and pricing experiments.
5. Conduct research and literature reviews to assess quantitative algorithms and models, ensuring the selection of optimal methodologies.
6. Perform hypothesis testing to discover causal drivers for customer and market behaviours.
7. Implement and train AI/ML models, optimizing algorithm efficiency through GPU distributed computing and concurrent programming.
8. Write and refactor code into reusable libraries/ APIs, deploy machine learning ecosystems, and integrate subsystems as necessary.

Required Experience:

• Masters/ PhD in a quantitative discipline, such as Mathematics/Statistics, Quantitative Finance, Computer Science, Engineering, or equivalent experience.
• Proficient in the data science production life cycle, with a track record of working with structured, semi-structured, and unstructured data.
• Exceptional software skills in Python (Or demonstrable ability to pick up new languages) and SQL variants, with expertise in design patterns, code optimization, and object-oriented programming.
• Experience applying quantitative and machine learning algorithms to pricing and marketing domains.
• Demonstrable expertise in econometrics, statistical modelling, time-series analysis, causal inference, or other relevant domains.
• Solid understanding of foreign exchange markets, including currency pairs, market dynamics, and key drivers.
• Hands-on experience in designing and executing digital campaigns and experimentation methodologies, including A/B testing, bandit-based experiments and multivariate analysis.

Key Skills:

Python, machine learning, causal inference, SQL, experimentation, A/B Testing, Multi-Armed bandit, pricing, econometrics, software design, time-series analysis, research, financial markets, behavioral science, quantitative analysis.

Assisting to generate invoices for submission.

Tally and compute data for billing verification.

Able to use microsoft offices, software.

Able to speak English

5 days work week.

Mon to Fri 0830am to 1730pm.

Mandatory Skills

• CAT-1 cleared/eligible candidate is required for this role.
• Experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Hands-on experience with Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Experience in providing documentation support, e.g. in technical/functional specifications.
• Possess finance domain knowledge.
• Good problem solving and logical thinking.

Skillsets (Good to have)

• Snowflake
• Denodo

Brief Job Description

Summary:

supporting data management operations activities for U2ID and TPDM applications.

Mandatory Skills

• CAT-1 cleared/eligible candidate is required for this role.
• Experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Hands-on experience with Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Experience in providing documentation support, e.g. in technical/functional specifications.
• Possess finance domain knowledge.
• Good problem solving and logical thinking.

Skillsets (Good to have)

• Snowflake
• Denodo

About Dyson

Dyson is a global technology company with a unique philosophy - to solve problems that others ignore and transform the way people live. We are a world leader in engineering, with a heritage of innovation and design excellence. Dyson has always been different. Our culture is unique.

About Us

Data and analytics excellence at Dyson is delivered by a diverse and collaborative global community. At the heart of that community is a hub team that enables all others: Dyson's Data Platform team. With significant investments in cloud technologies and tools, an expansive scope, and unwavering ambition, the Dyson Data Platform team is recognized throughout the organization as critical to Dyson's strategic objectives.

The Team

As the Data Platform team, we are responsible for delivering the data, technology, and community provisions that empower Dyson's global data and analytics capabilities. We have end-to-end responsibility for managing data platforms and integrations, enabling our development and analytics teams to continuously enhance features and capabilities for our customers, partners, and employees.

Our multi-disciplinary, global team provides round-the-clock development and operations, encompassing platform architecture, engineering, management, DataOps, governance, and advanced analytics expertise. We are involved with every aspect of Dyson's global business, seeking to deliver solutions that generate impressive and tangible business value.

About the Role

As the Data Platform Training and Communications Lead, you will play a pivotal role in ensuring the effectiveness, efficiency, and adoption of Dyson's Data Platform. You will develop and implement a comprehensive training strategy, designed to empower users with the skills and knowledge they need to leverage the Data Platform's capabilities effectively. Your role extends to fostering knowledge sharing, facilitating cross-functional collaboration, and maintaining open lines of communication within the team and across the organization.

Key Responsibilities

• Training Strategy: Develop and implement a comprehensive training strategy for Data Platform users, ensuring proficiency in platform utilization.
• Training Programs: Design, organize, and deliver tailored training programs for data engineers, platform engineers, and team members.
• Onboarding: Develop and maintain an onboarding program to facilitate a seamless transition for new users and team members.
• Skill Enhancement: Identify skills gaps and create training initiatives to address them, covering technical skills, best practices, and industry trends.
• Documentation: Collaborate with engineers to create and maintain internal documentation, knowledge bases, and training materials.
• Knowledge Sharing: Promote a culture of knowledge sharing, encouraging team members to share their expertise.
• Communication: Develop a comprehensive communication plan, ensuring the team and organization are informed of important developments.
• Cross-Functional Collaboration: Collaborate with other departments or teams within Dyson to align on data-related projects and initiatives.
• Feedback and Evaluation: Gather feedback to continuously improve and tailor training content to team members' needs.
• Vendor Training: Coordinate vendor-provided training and certifications for team members.
• Events and Workshops: Organize workshops, seminars, and events related to data engineering, data platforms, and best practices.
• Mentorship: Facilitate mentorship programs and knowledge-sharing sessions to foster professional growth.

About You

As the ideal candidate for this role, you possess the following qualifications:

• Education: Bachelor's degree or equivalent in a relevant field; advanced degree preferred.
• Experience: Experience and exposure in DataOps, data platforms and data engineering in general. Proven experience in designing and delivering training programs, particularly in a technical or data-related context.
• Technical Proficiency: A solid understanding of data engineering concepts and technologies, with the ability to translate technical information into user-friendly training materials.
• Communication Skills: Exceptional communication and presentation skills, with the ability to convey complex technical concepts clearly and concisely.
• Collaborative Mindset: A collaborative and team-oriented approach, with the ability to work effectively with cross-functional teams.
• Analytical Thinking: Strong analytical and problem-solving skills to identify training needs and evaluate program effectiveness.
• Adaptability: Ability to adapt to a fast-paced and dynamic environment, staying up-to-date with industry trends and best practices.
• Passion for Learning: A passion for learning and keeping abreast of emerging data technologies and platforms.

Why Dyson

At Dyson, we are committed to creating a diverse and inclusive workplace. We offer competitive pay and benefits, opportunities for professional growth, and a collaborative and innovative culture. Dyson is an equal opportunity employer and encourages qualified candidates from all backgrounds to apply.

Mandatory Skills

• CAT-1 cleared/eligible candidate is required for this role.
• Experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Hands-on experience with Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Experience in providing documentation support, e.g. in technical/functional specifications.
• Possess finance domain knowledge.
• Good problem solving and logical thinking.

Skillsets (Good to have)

• Snowflake
• Denodo

Brief Job Description

Summary:

supporting data management operations activities for U2ID and TPDM applications.

Dyson’s multidisciplinary Energy Storage development team is responsible for delivering cells from early prototypes in the UK, through to volume manufacture in a Singapore plant.

The cells that the team delivers will push the boundaries of performance, power density, and efficiency. These cells will drive new high value Dyson products with step improvements over our competitors.

Dyson Global IT are seeking a Data Architect who will be responsible for designing and developing the data architecture for the overall project. They will work closely with the project team and external stakeholders to ensure that the data architecture meets the necessary requirements in terms of functionality, performance, scalability and security.

Potential data sources include a variety of manufacturing equipment, sensors, and enterprise systems. The Data Architect will be responsible for designing and implementing data integration solutions to extract, transform and load data from these sources into the central data repository. They will also be responsible for designing and developing data models and ETL processes to support the reporting and analytics requirements of the project, as well as making decisions on data governance, security, and the tooling and infrastructure required to support the data architecture.

Previous exposure to data visualisation tools and techniques will be advantageous in this role. Strong analytical and problem-solving skills are essential, as project requirements may evolve over time and the Data Architect will need to be able to adapt the data architecture accordingly.

ABOUT YOU

• At least 5 years of experience in data architecture, data modelling, and data management
• Demonstrable project implementation experience in the manufacturing, aerospace, automotive or similar advanced engineering industry
• Strong experience in data integration, ETL, data lakes, and the creation of modern data platforms
• Strong analytical and problem-solving skills
• Experience with data visualisation tools and techniques
• Bachelors or Masters in Computer Science, Information Systems or other relevant field

What We Offer

• 5-Day work week.
• Performance Bonus.

Job Scope:

• Provide secretarial & admin support to MD.
• Prepare & manage correspondences, emails & documents.
• Compiling & preparing reports, presentations.
• Exercise judgement to ensure smooth day-to-day operations.
• Ensure all matters are followed up promptly.
• Any other tasks assigned by MD.

Job Requirements:

• Atl east 1 year experiences in a similiar role (preferably construction sector).
• Diploma.
• Be proficient in both spoken and written English.
• Approachable and Energetic Personality.
• Able to work independently.
• Trustworthy, maintain confidentiality and handle sensitive information with utmost discretion and professionalism.
• A valid class 3 driving license is an advantage.

Benefits:

• Wide exposure across all industries

• Career Coaching

• 5 days work week

• Competitive incentive scheme

• Overseas incentive trips

Responsibilities

• Source suitable candidates - through advertising campaigns, social media, networking, and referrals.

• Grow, manage and develop your candidate base.

• Understand client hiring requirements and provide profile recommendations for client consideration.

• Manage end-to-end recruitment process including sourcing for resumes, arranging interviews, offer management, conducting reference checks if required, etc.

• Specialization by category (temporary, permanent, executive staffing) and industry options available.

Applicants who possess the relevant experience or interest are most welcome to apply.

For a quick response, you may call or WA to 6902 8748 in the following format.

Position applied:

Name:

Residential area:

Start date:

By submitting your personal data and/or resume, you give consent to collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by company relating to this job application.

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

Chong Wang Jo

Registration Number: R22109702

EA Licence No: 06C2859 (MCI Career Services Pte Ltd)

• Provide single point of contact for incident, service request and escalation.

• Monitor, manage and maintain data centre operation and facilities.

• Manage equipment movement

• Daily monitoring of status

• Ensure proper running of the existing data centre systems.

• Liaise with the vendor on maintenance and enhancement issues.

• Troubleshoot and report system incidents/problem and abnormalities.

• Resolve incidents related to routine problems or known issues.

• Adhere to service level agreement for response time and turnaround time.

• Able to work shift including weekends and public holidays.

• 12 hrs shift working

Job Details

Location: Maxwell/ Tanjong Pagar

Working Hours: Office Hours

Work Type: 11-Month Contract

Salary: Up to $ 3,500 per month

Job Scope

• The role involves assembling 3D models of buildings in different BIM formats (e.g. RVT, IFC, GIS) through a suite of CAD/BIM authoring software.
• You will be required to understand and interpret planning and development records by synthesizing various data sources including approved plans in various formats (e.g. CAD, PDF, Bentley), as well as performing quality checks to ensure the accuracy of assembled data.
• You will also be required to extract information from building floor plans, and update them into relevant data repositories, both in tabular form as well as a spatial data model using GIS software (ArcGIS).

Job Requirement

• Minimally Diploma in Architecture / Interior Design / Engineering or equivalent
• Ability to read and interpret building submission drawings in both CAD and BIM formats (Revit, ArchiCAD, Bentley Aecosim, IFC)

Interested candidate may apply via email to [email protected] (indicating Job ID J43742 for faster processing). All job applications will be processed with strict confidence and only shortlisted candidate will be contacted.

Carmen Tan Huei Mun | R23115837

ScienTec Consulting Pte Ltd (ScienTec Personnel) |11C5781

Mandatory Skills

Key Responsibilities

· Creating complex, enterprise-transforming applications on diverse, high energy teams

· Working with the latest tools and techniques

· Hands-on coding, usually in a pair programming environment

· Working in highly collaborative teams and building quality code

· The candidate must exhibit a good understanding of model implementation, data structures,

data manipulation, distributed processing, application development, and automation.

· The candidate must have a good understanding of consumer financial products,

data systems and data environments, and processes that are necessary for the

implementation of Risk and Finance models

Essential Skills & Prerequisites

· Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics)

or Bachelor's/Master degree with 6 years of experience

· Hand-on Development experience with PySpark, Scala Spark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming.

· Knowledge of micro-services architecture and cloud will be added advantage.

· Knowledge of Java and Scala will be added advantage

Desired

· A Bachelor’s degree or higher preferably in Computer Science or IT

· Additional experience on developing service-based application

· Excellent analytical skills: Proficient in MS Office and able to produce board-level

documentation

· Fluency in written and spoken English; Good communication and interpersonal skills

· Self-starter who sets and meets challenging personal targets, Detailed person, with a big

picture outlook

· Understanding of current technologies employed by Tier 1 Investment Banking Institutions

· Must be a team player

Mandatory Skills

· Hand-on Development experience with PySpark, ScalaSpark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming

Mandatory Skills

Key Responsibilities

· Creating complex, enterprise-transforming applications on diverse, high energy teams

· Working with the latest tools and techniques

· Hands-on coding, usually in a pair programming environment

· Working in highly collaborative teams and building quality code

· The candidate must exhibit a good understanding of model implementation, data structures,

data manipulation, distributed processing, application development, and automation.

· The candidate must have a good understanding of consumer financial products,

data systems and data environments, and processes that are necessary for the

implementation of Risk and Finance models

Essential Skills & Prerequisites

· Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics)

or Bachelor's/Master degree with 6 years of experience

· Hand-on Development experience with PySpark, Scala Spark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming.

· Knowledge of micro-services architecture and cloud will be added advantage.

· Knowledge of Java and Scala will be added advantage

Desired

· A Bachelor’s degree or higher preferably in Computer Science or IT

· Additional experience on developing service-based application

· Excellent analytical skills: Proficient in MS Office and able to produce board-level

documentation

· Fluency in written and spoken English; Good communication and interpersonal skills

· Self-starter who sets and meets challenging personal targets, Detailed person, with a big

picture outlook

· Understanding of current technologies employed by Tier 1 Investment Banking Institutions

· Must be a team player

Mandatory Skills

· Hand-on Development experience with PySpark, ScalaSpark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming

Mandatory Skills

Key Responsibilities

· Creating complex, enterprise-transforming applications on diverse, high energy teams

· Working with the latest tools and techniques

· Hands-on coding, usually in a pair programming environment

· Working in highly collaborative teams and building quality code

· The candidate must exhibit a good understanding of model implementation, data structures,

data manipulation, distributed processing, application development, and automation.

· The candidate must have a good understanding of consumer financial products,

data systems and data environments, and processes that are necessary for the

implementation of Risk and Finance models

Essential Skills & Prerequisites

· Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics)

or Bachelor's/Master degree with 6 years of experience

· Hand-on Development experience with PySpark, Scala Spark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming.

· Knowledge of micro-services architecture and cloud will be added advantage.

· Knowledge of Java and Scala will be added advantage

Desired

· A Bachelor’s degree or higher preferably in Computer Science or IT

· Additional experience on developing service-based application

· Excellent analytical skills: Proficient in MS Office and able to produce board-level

documentation

· Fluency in written and spoken English; Good communication and interpersonal skills

· Self-starter who sets and meets challenging personal targets, Detailed person, with a big

picture outlook

· Understanding of current technologies employed by Tier 1 Investment Banking Institutions

· Must be a team player

Mandatory Skills

· Hand-on Development experience with PySpark, ScalaSpark and Distributed computing.

· Development and implementation experience of applications for 4-6 years.

· 4 to 6 years' experience designing and developing in Python.

· 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming

JOB DESCRIPTION

At Keppel, data drives our decisions. Technology is at our core. And innovation is everywhere.

Keppel is looking for a data-savvy professional to join our team. As a Senior Data Engineer, you will be working with partners throughout the company to ensure we have high-quality data to power our business in all departments. Decisions for every part of our business -- from the front-end experience to performance marketing to partner products -- are driven by our data via various enterprise apps. Your challenge will be to make sure we can apply our data even more effectively to support business decisions and improve our products. You Will Be Part of The Data & Digital Team.

Responsibilities
As a Senior Data Engineer, you will be in charge of the development, performance, quality, and scaling of our data pipelines, with a special focus on data quality. You will work independently and will also be responsible for making technical decisions within a team.

Important Aspects of The Job Include

• Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
• Supporting the legacy systems while we build the next gen Data Ecosystems to support the business.
• Solving issues with data and data pipelines, prioritizing based on customer impact.
• End-to-end ownership of data quality in our core datasets and data pipelines.
• Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.
• Providing tools that improve Data Quality company wide.
• Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.
• Acting as an intermediary for problems, with both technical and non-technical audiences.

JOB REQUIREMENTS

We are looking for driven Data Engineers who enjoy solving issues, who initiate solutions and discussions, and who believe that any challenge can be scaled with the right demeanor and tools.

The ones that fit us best are the people who match the following requirements:

• Proven experience of at least 5 years in the field, using 1 or more server-side programming languages -- preferably Java, Scala, Python, Perl, etc.
• Proven experience of minimum 5 years with SQL, HQL, CQL, etc.
• Experience with building scalable data pipelines with technologies such as Glue, ADF, Kafka, Spark, HBase, AzureSQL, DBT etc.
• Strong Experience in Data Modeling, Data warehousing / ETL tools
• Experience using Snowflake & DBT is a plus
• Experience with a cloud platform (AWS, Azure)
• Understands and can develop streaming processing applications using technologies like Kafka-Streams, Spark-Streaming, etc.
• Experience of working on systems on large scale.
• Good understanding of basic analytics and machine learning concepts.
• Preferably a university degree in Computer Science.
• Excellent communication, written and spoken.

Job Responsibilities:

This role will be responsible for developing, implementing, and maintaining applications that leverage data analytics to drive business insights. The candidate should have a strong background in both software development and data analytics, with the ability to create robust and scalable solutions.

Job Requirements:

• IT-related Degree/Diploma and other Certifications.
• 3 or more years of experience in Applications development /Data analytics.
  Proficiency in programming languages such as .NET / C#.
• Strong understanding of Database Management Systems such as MS SQL.
• Familiarity in deploying Applications on Azure and IIS Web Servers.
• Familiarity with Data Analytics programming and tools such as Python, Talend, PowerBI, Tableau.
• Proficiency in MS SharePoint, Word Press, Joomla and Low-code tools would be added advantage.
• Excellent problem-solving and analytical skills.
• Effective communication and collaboration abilities.

Today, Lonza is a global leader in life sciences operating across three continents. While we work in science, there’s no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that’s the kind of work we want to be part of.

Did you know that we are the 1st biologics contract manufacturer in Singapore? We offer you exposure to upcoming biotech and established pharmaceutical companies and to the manufacturing technology needed to produce mammalian treatments and cell therapies of tomorrow. Our global manufacturing network is recognized for its reliable, high-quality services, regulatory track record, global footprint, innovative technology platforms and extensive experience – we, in Singapore are proud to be part of this global network.

We are currently looking for a talented ERP Process/ Master Data Specialist to join our Supply Chain team in Singapore. You will be acting as the first level of support for the team, using your SAP knowledge to support the MRP and Production Scheduling team in planning and execution.

This is a great opportunity to explore multiple supply chain disciplines in the team and carve out an extensive supply chain career within Lonza.

Key responsibilities:

• Responsible for SAP Material Master Data maintenance, integrity and governance for all MM views for Raw Materials, Semi- Finished Goods and Finished Goods.
• Responsible for Material Data integrity of SAP Bill of Materials, Resources, Recipes and Production Version for all Semi-Finished Goods, Finished Goods and Services.
• Responsible for ensuring the integrity of SAP MM / PP with the other SAP modules in use (SD, WM, QM, etc).
• Responsible for liaising with IT teams for SAP MM / PP system configurations issues and troubleshooting.
• Assist and support users with regular Master Data maintenance and upload to ensure data integrity.
• Communicate effectively with internal (including global sites) and external customers as related to the planning of raw materials, semi-finished goods and finished-goods.
• Assist with creation and update of documentation and procedures guidelines for ERP systems users.
• Ensure compliance with Supply Chain planning policies, procedures and ethics guidelines are maintained.
• Participate in Kaizen/Hoshin event(s) that provide the business with process improvements for cost and/or time savings opportunities.
• Complete necessary projects or any other duties as assigned by your Supervisor/Manager.

Key requirements:

• Bachelor’s Degree in Supply Chain Management of Business Management, Chemical Engineering and/or CPIM Preferred.
• Experience with maintenance, creation and/or modifications of codes and functions within an ERP systems. SAP preferred.
• Ability to self-check in an effort to ensure accuracy of work.
• Strong analytical skills. Prior experience using Business Intelligence systems to extract data and generate reports is nice to have.
• Experience using MS Office Suite.
• Excellent Communication Skills and Attention to Detail.

Every day, Lonza’s products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically.

People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

1. IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
2. New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
3. Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

RESPONSIBILITIES

• Collect, clean, transform, interpret data and analyze results using statistical techniques
• Develop and implement databases and data collection systems
• Maintain databases/data systems
• Present the findings and translate the data into understandable document
• Assist with data mining and data visualization
• Identify trends, analyze and interpret trend or pattern
• Deliver deep insights with the appropriate analytics methodologies and techniques
• Update static data and action all new data set up to ensure that the data within the systems remains accurate and up to date
• Communicate with colleagues and stakeholders to gather data requirements

• Diploma in Information Technology or related field
• Minimum 1-year experience in data analysis or related field
• Candidate with analytic background, preferably know PowerBI and proficient in spreadsheet will be an advantage
• Able to communicate well and explain complex data in simple form to stakeholders
• Strong analytic skills with the ability to collect, organize and disseminate large amount of information with attention to detail and accuracy
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, Tableau, etc.)
• Candidate with engineering background will be a distinct advantage
• Familiar with python or R-programming for data analysing will be a distinct advantage
• Open to more junior candidate who have passion about complex data, or who love and manage data!

Wee Kim Wee School of Communication and Information (WKWSCI) is hiring a full-time Research Engineer I for a project investigating how information cascades in closed messaging app groups, such as Telegram.

The engineer will be developing and applying machine learning, network analysis, and multimodal data to understand information cascades in closed messaging apps. The engineer is expected to conduct data mining, network analysis and machine learning on Telegram chats to understand information cascades revolving national issues in closed messaging apps. The engineer will work closely with research project members at WKWSCI, to deliver algorithms that automate user classification and topic modelling, that will later serve as protocols for other topics.

Selected candidate will work closely with Assoc Prof Edson Tandoc Jr.

Key Responsibilities:

• Develop solutions for data mining of text and stickers/images/videos on Telegram
• Develop solutions to categorize Telegram users based on network topologies
• Develop machine learning models to predict user roles and information cascade patterns
• Collaborate with other researchers in a multi-disciplinary team, while work independently on given tasks

Job Requirements:

• Bachelor degree or Diploma in Computer Science, Programming, Data Science or a related field
• Preferably 2 and more years of professional programming experience
• Experience in Natural Language Processing and Computer Vision
• Experience in Network Analysis and Machine Learning
• Writing clean, readable, and easily maintainable code
• Ability to manage your own time effectively and deliver required tasks with minimal supervision
• Good teamwork skills
• Interest in applications of technology in academic research

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

• Perform daily data entry duties and depot operations activities.

• Maintain, update and ensure accuracy of daily movement report.

• Raise estimates of repair of containers for clients.

• Attend & respond promptly to customers’ orders & enquiries.

• Other ad-hoc duties as assigned by superior.

Job Description & Requirements

Fast growing company with good career & welfare prospects invite you to join our family:

• Industry/ Organization Type: Trading & Production
• Perform data entry and invoicing tasks
• Coaching provided; requires basic accounting knowledge
• Working Location: 32 Benoi Place Singapore 629949 (Nearest MRT: Joo Koon MRT)
• Working Hours: 5.5 days (M-F, 8:30 AM-5:30 PM, ALT Saturday, 8:30 AM-12:30 PM)
• Salary Package: Basic Salary + OT + AWS + Variable Performance Bonus
• Salary Range: SGD 2500 - 3000
• Promotional prospects
• Sign-on bonus
• Great working environment
• Duration: Permanent Role

Interested applicants, please walk in for interview: 32 Benoi Place Singapore 629949 (Mon-Fri, 8:30 AM-5:30 PM, Sat, 8:30 AM-12:30 PM)

Key accountability (Main purpose of this job):

The Data Analyst plays a pivotal role in driving data-driven decision-making across our school. You will be responsible for designing and implementing data analysis strategies, extracting insights from various data sources, and communicating actionable findings to stakeholders to improve student learning, operational efficiency, and overall school performance.

The Data Analyst is also responsible for building and maintaining an accurate school timetable that organises and supports student learning.

Responsibilities (Key areas of Responsibilities):

Data Acquisition and Management:

• Develop and implement data collection strategies for academic, student, and operational data
• Design and maintain data pipelines to ensure data accuracy, completeness, and accessibility
• Perform data cleaning, transformation, and integration tasks
• Manage data quality and implement data governance practices
• Extract, transform and load data from various sources into Google BigQuery

Data Analysis and Reporting:

• Conduct in-depth analysis of student performance data (e.g., standardised test scores, grades, attendance) and Operational data (e.g., HRMS, Facilities Management System, IT Systems etc) to identify trends, patterns, and areas for improvement
• Analyse student engagement and learning behaviours to inform instructional strategies and curriculum development
• Develop and deliver data-driven reports and presentations including actionable insights to stakeholders, including teachers, administrators, and leadership teams
• Generate regular and ad-hoc reports to support decision-making at both strategic and operational levels
• Create and maintain dashboards and visualisations to effectively communicate data insights
• Comprehensive data analysis using SQL queries and advanced BigQuery functions

Predictive Modelling:

• Develop and implement predictive models to forecast student performance, identify at-risk students, and optimise educational strategies
• Use statistical techniques to analyse historical data and build models that contribute to academic success and overall school improvement

Data Visualization:

• Create visually appealing and easy-to-understand dashboards and reports to communicate complex data findings to non-technical stakeholders
• Utilise data visualisation tools to present insights in a compelling and accessible manner
• Facilitate the development of new engines and modifications of existing engines in order to meet CIS data visualisation needs

Decision Support:

• Partner with stakeholders to identify data-driven solutions to address specific challenges and opportunities
• Utilise data analysis to support strategic planning, resource allocation, and program evaluation
• Contribute to the development and implementation of data-driven initiatives and projects.
• Meet with collaborators to understand and meet their data needs and goals. For example to create systems for the easy access of data to support events like UN Week, excursion lists, estimate foreign language book purchases
• Consult with collaborators to streamline their work process including data collection and presentation
• Clearly and concisely communicate complex data insights to technical and non-technical audiences

Surveys and Data Reports (School and Operational):

• Coordinate with stakeholders to properly set up the survey/form on the survey platform
• Transform and load data into BigQuery in appropriate format
• Make data accessible to relevant stakeholders through Google Sheets or Looker Studio or on the platform dashboard reports
• Focusing in managing, producing and visual creation of the data for departments Academic, HR, Finance, Admissions, Marketing etc (eg. enrollment trends, market analysis, comparison of data etc)
• Supporting the stakeholders in strategic decisions using the data sources by providing data insights on trends, comparison and market analysis

Early Years, Primary and Secondary Timetable:

• Collaborate with vice principals and the IT department to build the primary and secondary timetable and make structural changes as needed throughout the academic year
• Liaise with the timetable software provider for support and help with problem solving
• Coordinate a data calendar to support regular review cycles
• Setup Web Preferences to gather student’s subject choices for the next school year
• Coordinate with VPs to calculate accurate teaching loads and duty schedules
• Optimise timetable for all academic staff to maintain fairness

Student Support

• Maintain SWELL student information dashboards and Tier 1, 2 and 3 monitoring tracking while also supporting processes to streamline data entry
• Maintain ELL student information dashboards
• Advise SWELL and ELL admin support on best practices for bulk student reporting and parent contacts
• Create and maintain a system for tracking ELL, Learning Support and Caregiver students’ data between admissions and the SWELL and ELL departments to optimise student placement and staffing

Other Responsibilities:

• Stay current on the latest data analytics trends and technologies in education.
• Collaborate with other departments and teams to ensure data-driven decision-making is integrated across the school.
• Promote a data-driven culture within the school community.
• Ensure compliance on data protection with the data source.

Requirements:

• Bachelor Degree in data science, statistics, education, or a related field, or equivalent experience.
• Minimum 5 years of experience in data analysis, preferably in an education setting.
• Strong analytical skills and experience working with various data sources and tools (e.g., SQL, Python, R, Looker, Looker Studio, Tableau, Power BI).
• Excellent communication and presentation skills, with the ability to translate complex data into actionable insights for diverse audiences.
• Experience working in a fast-paced environment and managing multiple projects simultaneously.
• Strong problem-solving skills and ability to think creatively.
• Passion for education and a commitment to using data to improve student learning outcomes.

THIS IS A 2-YEARS RENEWABLE / CONVERTIBLE CONTRACT ROLE.

Responsibilities:

• Manage IT infrastructure platform projects and assist with the deployment process.
• To administer and configure infrastructure system and application (Active Directory Services, telephony, server storage, backup etc), network devices (Firewall, routers, VPN, internet proxy, wireless, etc), desktops, laptops, mobile devices, printers and POS. NAS), Compute Platform (Server system hardware) and Infrastructure services systems (MFT, Enterprise batch job management, Monitoring tools, patch management tools, inventory)
• Monitor system performance, troubleshoot and resolve issues related to the IT infrastructure.
• To ensure systems are backup automatically, disaster recovery plans and patches are carried out successfully and monitor the systems resources usage closely.
• Regularly maintain up-to-date documentations for infrastructure activities & user guides.
• Render technical support when required after office hours and weekend support if required during in-house events.
• Ensure regulatory and legal compliance in infrastructure operations and maintenance activities.
• To manage in-house POS system and related hardware
• Should be well versed in Firewall and Network concepts with Cybersecurity background is a must.
• Good knowledge on SSL off-loading concepts.
• Commitment to complete tasks on time and team work.
• Articulate in excellent written and verbal communication skills.
• Perform other duties assigned by management
• Able to quickly learn and adapt in any technology.

Requirements:

• Degree in IT / Computer Science
• Minimum 3 years of experience in IT System Infrastructure implementation / maintenance
• Product knowledge of Microsoft Windows, Active Directory, VMware & Fortinet
• Good technical skills in configuration and troubleshooting PC, network issues including back bone infrastructure issues, server hardware knowledge and Cybersecurity skills.
• Hands-on experience with Windows environment and experience in configuring servers, switches, Microsoft 365 technical support and Telephony systems support.
• Pen test certified will be an added advantage.

THIS IS A 2-YEARS RENEWABLE / CONVERTIBLE CONTRACT ROLE.

Responsibilities:

• To design, create and maintain various websites in DCS by providing friendly user experience and identifying customer user journey.
• To oversee projects in DCS by applying project management and Software Project Lifecycle knowledge
• To transform DCS's processes into automation processes to enhance productivity and efficiency.
• To develop and design process workflow based on requirement define by end-users.
• To drive continuous improvement in work processes and environment to achieve assigned purpose KPI.
• To draft technical documentation on each workflow and conduct training to stakeholders using them
• To oversee DCS's IT system such as Odoo ERP, WordPress CMS, Business Process Automation, Enterprise Content Management.
• Ensure that IT-related tickets are resolve promptly and meet the Service Level Agreement set by the department.
• Ad-hoc tasks like Account Management for certain applications, Infrastructure supports and any assigned tasks.

Requirements:

• Degree in IT / Computer Science.
• Minimum 3 years of experience in IT software Systems / solutions.
• Experience with WordPress and proficient in one or more frontend framework (HTML5/Angular/React JS).
• Good understanding of information system technologies and software application.
• Proficiency in one or more backend languages (Java/Python/PHP).
• Strong fundamentals in software engineering. Data structures and algorithms.
• Proficiency in database and data analytics will be an advantage.
• Experience in frontend and backend web application development will be an advantage.

Mandatory Skills

We are seeking a skilled and motivated Intermediate Data Engineer to join our dynamic team. The successful candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient processing and analysis of large datasets. As an Intermediate Data Engineer, you will collaborate with cross-functional teams to implement data solutions that align with our business objectives.

Responsibilities:

1. Data Pipeline Development: Design, implement, and maintain scalable data pipelines for the extraction, transformation, and loading of large datasets.
2. Data Modelling: Develop and optimize data models to support analytical and reporting requirements, ensuring data accuracy and reliability.
3. Data Integration: Integrate diverse data sources and formats to enable seamless data flow across systems.
4. Data Quality Assurance: Implement and monitor data quality checks to ensure the integrity of the data throughout the entire data lifecycle.
5. Collaboration: Work closely with business analysts, colleagues and other stakeholders to understand data requirements and deliver effective solutions.
6. Performance Optimization: Identify and address performance bottlenecks in data processing and storage systems.
7. Documentation: Document data engineering processes, data models, and configurations for knowledge sharing and future reference.
8. Adherence to Best Practices: Stay current with industry trends and best practices in data engineering within company and ensure the adoption of these practices within the team.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 5 years of proven experience as a Data Engineer or similar role.
• Strong proficiency in programming languages such as Spark SQL and Python in a HIVE environment.
• Familiarity with cloud platforms such as AWS and Big Data infrastructure, Jira, Bitbucket, etc.
• Experience in CI/CD pipeline and working in an Agile environment.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Knowledge of data warehousing concepts and technologies.
• Candidates with experience in the Banking Industry will have an added advantage.
• Ability to communicate effectively with multiple levels of management and summarize complex technical requests succinctly.