• Permanent role with variable bonus
• Hybrid
• Experience in financial analysis/ data analyst who analyze business or finance performance

Role and Responsibilities:

• Collect, analyze, and interpret data to identify trends, patterns, and potential areas for enhancing vessel financial performance.
• Develop insightful analysis and assist internal stakeholders to provide recommendations with the objective of financial improvement.
• Track and submit monthly KPI Report to management.
• Manage business unit’s / sub-business units’ implementation of improvement actions.
• Conduct benchmarking exercises.
• Analyse data and provide insights for P&L forecasting and budgeting.

Requirements:

• Bachelor’s degree in either business administration, accounting, data science, statistics, mathematics, or similar subject from a recognized university.
• Minimum 5 years of relevant working experience.
• The expertise to deep-dive and gain insights from data is a must.
• Excellent charting and graphical representation skills to enable effective communication of insights to management.
• Driven and a self-starter who enjoys working in a fast-paced environment.
• Excellent problem-solving skills and a proactive approach to challenges.
• Proficiency in data analysis, Microsoft Excel and MS PowerPoint. SAP is a plus.
• Effective communication and interpersonal skills to collaborate with colleagues across departments and various internal and external stakeholders.
• Proficiency in the English language, both verbal and written.

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

• Permanent position
• Variable bonus
• Hybrid
• Open communication culture

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.

Biospringer APAC is seeking an entry-level Finance & Data Analyst to support the Asia Pacific business.

This position is a key member of our Biospringer APAC team and Biospringer Finance team and will work in close collaborations with cross functional teams in APAC, China and France.

It includes 3 main responsibilities.

Reporting:
• To coordinate monthly closing activities with entities producing for and selling on APAC markets to ensure compliance with BIOSPRINGER & Group reporting procedures
• To analyse, prepare and consolidate the monthly reporting at BIOSPRINGER APAC level
• To conduct analysis to understand variances between budget/forecast and actual performance/results
• To perform margin analysis
• To communicate with BIOSPRINGER Global finance team and BIOSPRINGER entities to understand APAC performance
• To track, monitor, and feedback on variance analysis (i.e.: pricing, costing, OPEX, …) to respective stakeholders

Budgeting and Forecasting
• To coordinate budgeting and forecasting processses and activities at BIOSPRINGER APAC level in accordance with Group and BIOSPRINGER Budget guidance,
• To analyse, prepare and consolidate Budget at BIOSPRINGER APAC level for discussion with BIOSPRINGER Global team

Business Support
• To take charge of cross-functional projects aimed at optimizing BIOSPRINGER APAC results and to ensure regular monitoring
• To monitor profitability per product / customer and be part of pricing management with Marketing team
• To be a business partner to the Sales team, and Sales admin team, in case of overdue
• To support accuracy of our S&OP forecast thanks to Sales data analysis
• To ensure transfer price rules follows Group guideline
• To actively participate and deploy the Group's procedures & projects at the regional level
• To coordinate and support compliance project if needed
• To support BIOSPRINGER and Group’s enhancement initiatives / programs launched on BIOSPRINGER APAC scope

Project Summary

• Work closely with business (research analysts, quantitative strategist, end-users, etc), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle, e.g. data onboarding and data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Skillset Requirements

• Possess a degree in Accounting, Finance, Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 5 years of relevant experience in data management, data analytics, and data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management, as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution, and perform code review.
• Experience in Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
• Excellent written and verbal communication skills.
• Strong interpersonal skills and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.

About Us

When you work with us, you’ll find that we deliver results; without compromising on respect. We value each other’s differences while recognising individual strength.

We are the world’s leading contract logistics company. We create competitive advantage for our customers through customized warehousing and transportation services. We combine our global scale with local knowledge and sector expertise.

At DHL Supply Chain (DSC), there's more to a role than the work we do. Whatever your role is, we never forget that you make us who we are. We work hard to make sure a career with DHL is as satisfying and successful as it can be.

Join a supportive work environment where you’ll have the tools and training you need to grow and succeed.

DHL Supply Chain is Great Place To Work® certified.

Responsibilities

• Implementing HR Business Intelligence, Data Analysis & Analytics plans to analyze organization and people data from different sources to inform business decisions

• Researching and evaluating issues with HR reporting solutions and ensuring the application of Business Intelligence (BI) Data Analysis & Analytics tools/methods that enhance business decision making capabilities

• Consolidating internal and external HR / Finance / Operations data sets and conducting respective (management) reporting through the development of HRMS and/or Power BI solutions

• Prioritizing escalated issues arising from HR reporting and analytics solutions and coordinating with other subject matter experts to improve usability, accuracy, and effectiveness

• Developing and deploying complex HR / Payroll reports and reporting tools, and assessing analytics effectiveness on an ongoing basis

• Applying advanced technical skills (SQL, Power Query, Python) to quickly identify patterns, insights, anomalies, and solutions to deliver operational and strategic insights for decision-making

• Supporting in communicating information effectively to senior management, conveying technical information to non-technical audiences

• Applying best practices for BI, data modelling, data transformation, and data governance in HR process areas; and providing inputs that maximize the usability of organization and people data for decision making

• Drafting plans determining which Business Intelligence (BI) Data Analysis & Analytics solutions will enable the enterprise to achieve defined business goals

Requirements

• HR functional knowledge and technical knowledge around data and reporting

• Advanced data cleansing/data transformation experience within the HR space

• HR Data quality analysis and reporting experience

• Data manipulation skills: Advanced SQL, Excel, Power BI – Power Query, DaX, Dashboard experience

• Data visualization experience: python, intermediate to advanced Oracle HCM Analytics – OTBI and BI Publisher

• Demonstrated ability to work cross functionally/divisionally with colleagues

• Continuous improvement mindset and approach to work

• Strong stakeholder management and influencing skills

• Permanent position with variable bonus
• Candidates with no experience are welcome
• Opportunities to travel abroad for business purposes
• Effectively bilingual in English and Mandarin due to business needs. Other spoken language is an added advantage

Roles & Responsibilities:

• Handle existing customers’ account and look for new customers
• Handling enquiry, negotiating price, preparing quotation, order and delivery
• Support distributors in market development, products knowledge and commercial requirement
• To review the distributor’s performance periodically and make recommendations for sales improvements and distributors’ motivation
• Participate or visit trade fairs worldwide
• Identifying & generating new business opportunities within assigned territory
• Visit clients of existing markets and potential customers in new market
• Working closely with IP Lawyer and Clients for taking action against infringer of company’s trademarks and products
• Perform any other duties or ad hoc projects assigned

• Degree Holder in Marketing / Business
• Travelling required
• Resourceful, meticulous and independent
• Energetic with high level of initiative and dedication
• Possess good communication and strong analytical skills
• Effectively bilingual in English and Mandarin. Other spoken language is an added advantage

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

• Permanent position
• Variable bonus
• Opportunities to travel abroad for business purposes

Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Coordinator to join our Singapore team.

Globally, with greater emphasis on personal data protection and integrity of clinical data, the Data Coordinator plays an important role and contributes to the success of clinical trials. If you want an exciting career where you use your previous expertise and can develop and grow your career even further, then this is the opportunity for you.

Responsibilities

• Track case report forms;
• Clean and update the clinical database, which includes generating and resolving data clarifications;
• Reconcile clinical data
• Maintain study documentation
• Perform QC audits of the clinical database

Qualifications

• Bachelor's degree in a health related field with strong attention to detail and working knowledge of Excel and Word
• 1-2 years of experience in a pharmaceutical or CRO setting preferred
• Knowledge of medical terminology is preferred; and
• Office hours, 9:30am to 6:30pm to be worked over 5 days between Monday to Saturday (Saturdays being rotational). Able to work on rotational public holidays.

JOB DESCRIPTION

As the Senior Manager, Project Management, you will support the delivery of large Data Centre Projects from their inception to completion, or, depending on your experience, lead our small to medium scale projects. Initially, your team will work closely with “Technical Solutions” to manage the development of the Design, and, with “Procurement” for the LLE & Tendering of Contracts. You will then support the SPM or lead your team in overseeing the construction and commissioning of the project. Working closely with the Authorities, Consultants, Contractors and Suppliers and seamlessly working with both internal and external stakeholders to ensure that the project is completed Safely, to the right Quality, On Time and within Budget. Once the project is commissioned, you will support the SPM or lead the handover of the project to our Operations Teams and end users/tenants.

Note that you will be based in Singapore but may be required to travel overseas for work if you are tasked to assist on overseas projects.

Job Responsibilities:

• Lead (or assist) in the delivery of the projects and be responsible for project performance
• Lead (or assist) in the execution of the technical qualification and planning of pre-deals as the Head of Department shall direct. Lead and manage Deputy Project Managers and Engineers to generate project cost and planning structure for prospective deal engagements
• Lead (or assist) in the execution of approved projects’ quotation and/or tendering process for the various packages such as project consultancy, contractors, nominated sub-contractors, vendors, suppliers, etc in accordance with the approved procurement process
• Lead (or assist) in the execution of approved project plans and manage Project Managers, Engineers, Site Supervisors and appointed consultants, contractors, suppliers and vendors to ensure general supervision of the project work and the management of site implementation and all project related matters
• Organize and conduct regular separate and/or combined meetings with Clients, Asset Owners, appointed consultant, contractors, vendors, etc to address all project related matters including but not limited to below:
  Site project management and track progress of project implementation against the approved schedule
  Cost reports including forecast cash flow of project expenditures, monitoring spending of cost against approved budget, forecast project expenditures, etc.
  Tracking and evaluation of Contractor Claims, Variations, Delay, EoT and Delay Damages
  Statutory Authorities matters
• Lead (or Assist) in managing the inspection of the Project Works at site together with the site team and report to the Senior Project Manager or Head of Project Management promptly on any non-compliance and status updates
• Work closely with the Safety Managers to ensure all construction safety requirements are met and strictly adhere to
• Work closely with Client, Asset Owner and Operation team on any technical issues arising from site and execute the Project Handover timely to Client, Asset Owner and Operation team respectively
• Manage and execute other duties and responsibilities from time to time that are assigned by the Head of Project Management or Senior Project Manager

JOB REQUIREMENTS

• Degree in Project Management, Mechanical, Electrical, Civil Engineering or equivalent
• Minimum 5 years of relevant experience in the Project Management of mission critical facilities
• Experience in managing Data Centre Greenfield Construction is ideal but experience in the construction of pharma/ microelectronics projects also highly desirable
• Strong leadership and communication skills
• Clear understanding of commercial & financial processes (Invoicing, approvals etc)
• Highly proficient in Microsoft Office (Word, Excel, Power Point)
• Very good Administration skills
• Be thorough and pay attention to detail
• Able to work well with others and have good customer service skills
• Able to use your initiative, flexible and open to change
• Strong time management & work well under pressure

Who we are

Decathlon is an international sporting goods creator and retailer with more than 60 in-house brands, sold through more than 1650 stores in 50 countries. Decathlon Singapore is looking for enthusiastic and proactive Data Interns to join our data team and create data-driven solutions relating to retail analytics, consumer analytics and sports analytics. You can expect to hone your data analytics skills and develop your data analytics journey here with us in this sports & retail industry!

What you will do

• Process, clean, and verify the integrity of data used for analysis
• Work in multiple projects to provide analytics insights to different stakeholders to support business decisions
• Design automated tools and dashboards that are user-friendly
• Assist different business units with data queries with SQL
• Apply data analytics and machine learning algorithms to the sports & retail Industry

Time Period

• Able to commit minimally 6 months, with potential conversion to full-time employment
• Able to start June / July 2024 onwards
• Please note that this is a full time internship position. 

Who you are

• Sport enthusiast and actively practicing a sport!
• You take energy in everything that you do; you express vitality and take initiative on your assigned tasks
• Proficiency in Python and SQL is required
• Good communication skills. Comfortable with collaborating cross-functionally – with people from different levels, backgrounds and experiences.
• Experience or coursework in statistical modeling, econometrics, data analysis.
• Experience with Tableau will be an advantage
• Experience with Databricks and Airflow will be an advantage

• Opportunity to work in an international, sporty environment
• Staff discounts across all Decathlon brands

By applying, you consent to the collection, use and disclosure of your personal data in accordance with our Privacy Policy (https://www.decathlon.sg/s/privacy-policy).

The Aviation Innovation Research (AIR) Lab

The joint CAAS-Thales innovation lab known as ‘AIR Lab’ started to operate on 1st November 2019 with the objective to develop Proof of Concepts (POCs) or Minimum Viable Products (MVPs) of advanced and open technologies for future Air Traffic Management (ATM). Currently, the joint lab employs a team of 40 Thales engineers and 12 CAAS engineers and air traffic controllers operating in a vibrant ecosystem involving a number of Singaporean SMEs and start-ups, as well as key research institutes.

Thales engineers include 10 domain experts – with more than 10 years of experience – coming from Thales ATM centers of competence in France and Australia. These experts are coaching both the local Thales and CAAS engineers. 

The POCs and MVPs are co-developed with the CAAS engineers who have access to the same development tools and environment used by the Thales Engineers (provided by the Singapore branch of Thales Digital Factory). The POCs and MVPs are defined in collaboration with CAAS air traffic controllers through iterative workshops.

AIR Lab research outcomes will feed the next generation of products, including clearly disruptive outcomes addressing Safety and Security for Open architecture, data driven ATM Twin, Green Aviation, Trajectory Based Operations. 

As the AIR Lab was recently extended for another 3 years, 4 work streams are now embarked: Regional Experimental Platform, FF-ICE/TBO, Green Aviation, Future-proof Interoperable Platform-Agnostic, Safe and Secure Platforms. These work streams are supported by the AIR Lab DataLake platform which provides data transformation and serving services in the cloud.

AIR Lab 2.0 continues to benefit from research conducted in Europe through new architecture research which, among other objectives, aims at meeting much stricter safety standards for ground ATM systems in development by the European Aviation Safety Authority (EASA). This breakthrough architecture study is co-funded by the French government (CASSIOPEA).

Regional Experimental Platform (REP) has been initiated in AIR Lab 1.0 and has the view to addressing regional needs in coordination with the SESAR 3 activities conducted in AMS France.

Who We Are Looking For

As a Cloud Data Architect in AIR Lab, you are seen by the members of your Data team to not only be a pillar of strength but a source of motivation and inspiration as well. You should be someone who enjoys designing, discussing topics around processing patterns like data quality control, streaming SQL, data sources/sinks and data synchronization; streaming-backfill, stream-to-stream joins etc. You should be someone who cares about the quality of the technical implementation and delivery as much as you care about the quality of delivery. You should be someone who enjoys working in a team of diverse people with multiple ethnic and cultural backgrounds. You should be someone who enjoys diving into the technical details of figuring out a problem and be able to communicate the solution back to the team so that the members can learn from it. You should be someone who loves learning new technologies and find innovative ways to apply newfound knowledge and be courageous to encourage fellow team members to be like YOU and enjoy participating in all aspects of engineering activities in the AIR Lab.

Responsibilities:

• Plan, maintain and improve the DataLake cybersecurity posture with regards to data governance and cybersecurity standards by working with other stakeholders (e.g., Data Assessment Office, Cybersecurity Office).
• Plan, maintain and improve the DataLake service levels for reliable data flow, health of infrastructure (i.e., computer and storage).
• Plan, maintain and improve the total-cost of ownership of the DataLake; this activity includes raising efficiencies around FinOps, CloudOps.
• Maintain and improve the architecture transforming data between the DataLake and a distributed search and analytics engine (e.g., ElasticSearch)
• Lead the evolution of the DataLake by conducting the following activities (non-exhaustively) exploring new methods, techniques, algorithms (e.g., data meshes, AI/MLOps infrastructure).
• Plan, maintain the data model, data catalogue (e.g., event data, batched data, persisted, ephemeral).
• Mentor and coach the data team.

• To implement features by defining test, develop feature and associated automated tests. If appropriate, implement security tests and load tests.
• Write and review the necessary technical and functional documentation in documentation repositories (e.g., backstage.io, JIRA, READMEs).
• Work in an agile, cross-functional multinational team, actively engaging to support the success of the team.

Requirements:

Education

• Bachelors in Computer Science or Information Technology
• Master’s degree in Computer Science or Data Science, if applicable

Essential Skills/Experience

• Proficiency in designing, implementing ETL data pipelines (with structured or unstructured data) using the frameworks like Apache Dataflow / Apache Beam, Apache Flink; proficient in deploying ETL pipelines into Kubernetes cluster in Azure cloud either as virtual machines or containerized workloads.
• Proficiency in designing, implementing data lifecycle management using scalable object-storage systems like MinIO (e.g., tiering, object expiration, multi-nodal approach)
• Demonstrated application of working with Continuous Integration and/or Continuous Delivery models; you are expected to be familiar with using Linux (e.g., shell commands)
• Proficiency in distributed source code management tools like GitLab, Github
• With respects to ETL pipelines, you are expected to demonstrate proficiency in the following.
  • pipeline configuration using Gitlab
  • environment management using Gitlab; it’s a bonus if you have demonstrated experience in deployment management (e.g., canary, blue/green rollouts) using Gitlab
• Familiar with cloud deployment strategies to public clouds (e.g., Azure Cloud, AWS, GCP) and Kubernetes using virtualized and containerized workloads (e.g., Kaniko, Docker, Virtual Machine)
• Good communication skills in English

Desirable Skills/Experience

• Working knowledge of designing application with a “shift-left” cybersecurity approach.
• Working knowledge of other languages (e.g., Python, Scala, Go, TypeScript, C, C++, Java)
• Implement event-driven processing pipelines using frameworks like Apache Kafka, Apache Samza
• Familiar with the cloud deployment models (e.g., public, private, community and hybrid)
• Familiar with the main cloud service models: Software as a Service, Platform as a Service and Infrastructure as a Service.
• Familiar with designing and/or implementing AI/MLOps pipelines in public cloud (e.g., Azure, AWS, GCP)

Essential / Desirable Traits

• Possess learning agility, flexibility and pro-activity
• Comfortable with agile teamwork and user engagement

• Salary: Up to $3000 + Completion Bonus
• Contract Duration: 12 Months with Flexi Benefits ($1500)
• Location: West, conveniently located near MRT Station
• Working Hours: Monday to Friday, 8.30am to 5pm

Responsibilities:

• Support daily laboratory operations with enthusiasm and dedication.
• Ensure seamless operations of sensory and skin care labs, including EEG work.
• Assist in sample preparation of test materials to maintain high-quality standards.
• Keep meticulous records of descriptive references for sensory test samples.
• Apply basic statistics for data analysis and contribute to insightful reporting.
• Tackle routine problems related to research projects with a proactive mindset.
• Utilize scientific research and critical thinking skills to conduct, record, and analyze experiments and fieldwork outcomes.
• Formulate cutting-edge skin care prototypes using company ingredients in our state-of-the-art personal care lab to support R&D efforts.
• Conduct thorough literature reviews and database searches to stay at the forefront of cosmetic science.

• Diploma in Perfumery and Cosmetic Science or Food Technology.
• Proven experience in customer-facing roles, showcasing excellent stakeholder management skills.
• Demonstrated expertise in data analysis and preparation of statistical reports.

Join us in revolutionizing the cosmetic science landscape! If you're ready to bring your passion and expertise to the forefront, apply now to be a key player in the innovative team.

Interested candidates can forward their CVs in MS Word format to [email protected]

Reg No. R1983718

Triton AI Pte Ltd

License no. 21C0661

Responsibilities:

• Organize and maintain records of inventories.
• Update logs and documentation for inventory processing
• Move inventory and materials across facilities.
• Sort, label, organize and store inventory in the proper location.
• Report damaged or missing inventory to supervisors.
• Process inventory for delivery
• Scan delivered items and ensured quality.
• Remove inventory from trucks or shipping and delivery to proper location.
• Move materials from facilities to workstations, pick-up locations or other locations.
• Operate heavy machinery like forklifts to move or store inventory.

Knowledge, Skills and Experience:

• High school degree or equivalent
• Minimum 2 years of experience in logistics or relevant field
• License or certification as dictated by the state to operate heavy machinery as needed.
• Excellent verbal and written communication skills
• Familiarity with inventory software, and able to upload data into the company system.
• Pays attention to detail and monitors the quality of inventory.
• Highly organized and able to store items efficiently.
• Able to work independently in a fast-paced environment.

Responsibilities:

• Lead a group of Production Technicians in the safe and smooth running of the production.
• Assist the Process Engineer to conduct activities and projects to optimize operation during Shift to achieve operational and cost efficiency.
• Troubleshoot plant/equipment/quality issues and recommend countermeasures.
• Monitor and ensure plant equipment integrity and reliability.
• Assist the Process Engineer to support Shift operation by providing suitable operating conditions for stable plant operation and product quality control.
• Train and develop team members

Requirements:

• Degree in Chemical Engineering or its equivalent, preferably with 1 to 2 years of experience in petroleum, chemical or polymer industries.
• Have knowledge of process control and troubleshooting, hands on knowledge of plant equipment and instrumentation.
• Essential prerequisites include good analytical and technical report writing skills, ability to be a team player with leadership, initiative, drive & commitment, able to take pressure and able to communicate well with others.
• This is a shift work position (i.e. Rotating AM and PM shifts, including weekends and Public Holiday) and there will be scheduled off days

Interested candidates can forward their CVs in MS Word format to alex#triton-ai.com

Reg No. R1549345

Triton AI Pte Ltd

License no. 21C0661

The Aviation Innovation Research (AIR) Lab

The joint CAAS-Thales innovation lab known as ‘AIR Lab’ started to operate on 1st November 2019 with the objective to develop Proof of Concepts (POCs) or Minimum Viable Products (MVPs) of advanced and open technologies for future Air Traffic Management (ATM). Currently, the joint lab employs a team of 40 Thales engineers and 12 CAAS engineers and air traffic controllers operating in a vibrant ecosystem involving a number of Singaporean SMEs and start-ups, as well as key research institutes.

Thales engineers include 10 domain experts – with more than 10 years of experience – coming from Thales ATM centers of competence in France and Australia. These experts are coaching both the local Thales and CAAS engineers. 

The POCs and MVPs are co-developed with the CAAS engineers who have access to the same development tools and environment used by the Thales Engineers (provided by the Singapore branch of Thales Digital Factory). The POCs and MVPs are defined in collaboration with CAAS air traffic controllers through iterative workshops.

AIR Lab research outcomes will feed the next generation of products, including clearly disruptive outcomes addressing Safety and Security for Open architecture, data driven ATM Twin, Green Aviation, Trajectory Based Operations. 

As the AIR Lab was recently extended for another 3 years, 4 work streams are now embarked:  Regional Experimental Platform, FF-ICE/TBO, Green Aviation, Future-proof Interoperable Platform-Agnostic, Safe and Secure Platforms. These work streams are supported by the AIR Lab DataLake platform which provides data transformation and serving services in the cloud.

AIR Lab 2.0 continues to benefit from research conducted in Europe through new architecture research which, among other objectives, aims at meeting much stricter safety standards for ground ATM systems in development by the European Aviation Safety Authority (EASA). This breakthrough architecture study is co-funded by the French government (CASSIOPEA).

Regional Experimental Platform (REP) has been initiated in AIR Lab 1.0 and has the view to addressing regional needs in coordination with the SESAR 3 activities conducted in AMS France.

Who We Are Looking For

As a Data Engineer in AIR Lab, you should be someone who enjoys designing, discussing topics around processing patterns like data quality control, streaming SQL, data sources/sinks and data synchronization; streaming-backfill, stream-to-stream joins etc. You should be someone who cares about the quality of the technical implementation and delivery as much as you care about the quality of delivery. You should be someone who enjoys working in a team of diverse people with multiple ethnic and cultural backgrounds. You should be someone who enjoys diving into the technical details of figuring out a problem and be able to communicate the solution back to the team so that the members can learn from it. You should be someone who loves learning new technologies and find innovative ways to apply newfound knowledge and be courageous to encourage fellow team members to be like YOU and enjoy participating in all aspects of engineering activities in the AIR Lab.

Responsibilities:

• Improve and maintain the DataLake cybersecurity posture with regards to data governance and cybersecurity standards by working with other stakeholders (e.g., Data Architect, Data Assessment Office, Cybersecurity Office).
• Improve and maintain the DataLake service levels for reliable data flow, health of infrastructure (i.e., compute and storage).
• Improve and maintain the total-cost of ownership of the DataLake; this activity includes raising efficiencies around FinOps, CloudOps.
• Improve and maintain the architecture transforming data between the DataLake and a distributed search and analytics engine (e.g., ElasticSearch)
• Lead the technical evolution of the DataLake by conducting the following activities (non-exhaustively) exploring new methods, techniques, algorithms (e.g., data meshes, AI/MLOps infrastructure).
• Improve and maintain the data model, data catalogue (e.g., event data, batched data, persisted, ephemeral).
• Work with the Data Architect to effect best practices to the engineering organization.
• To implement features by defining test, develop feature and associated automated tests. If appropriate, implement security tests and load tests.
• Write and review the necessary technical and functional documentation in documentation repositories (e.g., backstage.io, JIRA, READMEs).
• Work in an agile, cross-functional multinational team, actively engaging to support the success of the team.

Requirements:

Education

• Bachelors in Computer Science or Information Technology
• Master’s degree in Computer Science or Data Science, if applicable

Essential Skills/Experience

• Proficiency in designing, implementing ETL data pipelines (with structured or unstructured data) using the frameworks like Apache Dataflow / Apache Beam, Apache Flink; proficient in deploying ETL pipelines into Kubernetes cluster in Azure cloud either as virtual machines or containerized workloads.
• Proficiency in designing, implementing data lifecycle management using scalable object-storage systems like MinIO (e.g., tiering, object expiration, multi-nodal approach)
• Proficiency in programming languages in Java, Kotlin with a focus around design and development for scalable applications with microservices and monolith approaches.
• Proficiency in developing performant abstract data structures (e.g., deterministic data lookups versus heuristic data lookups); able to conduct independent research of methods, techniques and algorithms.
• Demonstrated application of working with Continuous Integration and/or Continuous Delivery models; you are expected to be familiar with using Linux (e.g., shell commands)
• Proficiency in distributed source code management tools like GitLab, Github and practice GitOps
• With respects to ETL pipelines, you are expected to demonstrate proficiency in the following.
  • pipeline configuration using Gitlab
  • environment management using Gitlab; it’s a bonus if you have demonstrated experience in deployment management (e.g., canary, blue/green rollouts) using Gitlab
• Familiar with cloud deployment strategies to public clouds (e.g., Azure Cloud, AWS, GCP) and Kubernetes using virtualized and containerized workloads (e.g., Kaniko, Docker, Virtual Machine)
• Good communication skills in English

Desirable Skills/Experience

• Working knowledge of designing application with a “shift-left” cybersecurity approach.
• Working knowledge of other languages (e.g., Python3, Scala2 or Scala3, Go, TypeScript, C, C++17, Java17)
• Implement event-driven processing pipelines using frameworks like Apache Kafka, Apache Samza
• Familiar with the cloud deployment models (e.g., public, private, community and hybrid)
• Familiar with the main cloud service models: Software as a Service, Platform as a Service and Infrastructure as a Service.
• Familiar with designing and/or implementing AI/MLOps pipelines in public cloud (e.g., Azure, AWS, GCP)

Essential / Desirable Traits

• Possess learning agility, flexibility and pro-activity
• Comfortable with agile teamwork and user engagement

Core Duties and Responsibilities

• Maintaining and administering computer networks and related computing environments including systems software, applications software, hardware, and configurations.
• Perform hands-on installation and maintenance tasks on network components such as routers, switches, and cables.
• Monitor network activity and configure network systems using complex computer software.
• Performing disaster recovery operations and data backups when required.
• Protecting data, software, and hardware by coordinating, planning, and implementing network security measures.
• Troubleshooting, diagnosing, and resolving hardware, software, and other network and system problems.
• Replacing faulty network hardware components when required.
• Maintaining, configuring, and monitoring virus protection software and email applications.
• Monitoring network performance to determine if adjustments need to be made.
• Conferring with network users about solving existing system problems.
• Operating master consoles to monitor the performance of networks and computer systems.
• Coordinating computer network access and use.
• Designing, configuring, and testing networking software, computer hardware, and operating system software.

Knowledge, Skills and Attributes

• Strong understanding of network infrastructure and network hardware
• Ability to think through problems and visualize solutions
• Ability to implement, administer, and troubleshoot network infrastructure devices, including wireless access points, firewalls, routers, switches, controllers
• Knowledge of application and network infrastructure protocols
• Ability to create accurate network diagrams and documentation for design and planning network communication systems
• Good analytical and problem-solving skills

Additional Requirements

• Diploma in information technology or related field of study with a network engineering focus.
• Relevant certifications, CCNA (Must), ITIL
• Knowledge on MS Windows administration, FortiGate FW, Radius, Tacacs

Detail:

• Location: Jurong Island, Singapore (Transport provided at designated point)
• Employment Type: Permanent  
• Compensation: Competitive Salary with AWS and 3 Months Variable Bonus  

Responsibilities:

• Oversee maintenance and instrumentation activities in manufacturing plants to ensure safe and smooth operations.
• Coordinate and execute major field maintenance projects, prioritizing worker safety and facility integrity.
• Liaise with internal and external stakeholders to coordinate maintenance activities, ensuring timely completion and minimal disruption to plant operations.
• Conduct instrumentation application studies and modify plant facilities to align with technical specifications and business requirements.
• Conduct training sessions for staff and contractors to enhance their skills and competencies.
• Implement management systems based on ISO 9001, ISO 14001, and SS506 standards.

Requirements:

• Bachelor's degree in Electrical Engineering with a focus on Power/Energy Modules.
• Basic knowledge of programmable logic controllers (PLC) and human-machine interfaces (HMI) is advantageous
• Strong analytical and problem-solving skills.
• Ability to communicate effectively with staff across different functions and contractors. A spirit of collaboration and teamwork is essential.

How to Apply:

Interested candidates are invited to forward their CVs in MS Word format to [email protected]

Reg No: R1549345
Triton AI Pte Ltd  
License No: 21C0661

Core Duties and Responsibilities

• Conduct detailed market research and competitive analysis to identify business development areas through data gathering of the data centre industry players and its market trends.
• Apply relevant data models to create pricing solutions with supporting financial analysis, forecasting and budgeting and present reports containing key success factors and performance indicators.
• Evaluate our market positioning, business processes, predicting future requirements and offer solutions to increase wallet share in comparison to our competitors.
• Identify strategic customer segments, develop go-to-market programmes, forecast expected volumes and continually monitor competitor activity.
• Implement financial modelling for large opportunities and analysis of different commercial options.
• Consolidate & Track against FY and YTD Sales Target and gap analysis for APAC together with Order Management team.
• Implement forecasting models extrapolating from win/loss cases and identify key drivers.

Knowledge, Skills and Attributes:

• Strong analytical problem-solving abilities with excellent grasps of numerical KPI’s used in sales operations for forecast analysis, models and predictive indicators against sales financial performance.
• Interpersonal and consultative skills with strong oral and written communications proficiency with creative outlook supported by data driven insights.
• Knowledgeable and experienced with SFDC, EXCEL, PowerBI and Powerpoint presentations. Ability to learn and incorporate in-house proprietary tools and integrate data to compile required deliverables.
• Attention to detail, willing to express opinions, able to take the initiative to deliver required outcomes, good team player, effective communicator, able to work independently and good people management skills.

Additional Requirements:

• Demonstrable working experience in a related environment
• Recognised degree in Business/Science, or any relevant discipline.

About us

Love, Bonito is a digital-first company on a mission to empower the everyday Asian woman and inspire self-confidence. We are Southeast Asia’s leading womenswear brand, headquartered in Singapore, with an omnichannel presence across Hong Kong SAR China, Indonesia, Malaysia and a retail franchise in Cambodia. In addition, we have also expanded into international markets namely the Philippines and the United States of America.

Founded in 2010, we are proudly female-founded with more than 65% female representation in leadership roles (#girlpower!). We raised a US$50M Series C round in 2021 and know that we’re on the cusp of something great, where we’re working towards becoming the most thoughtful brand globally, for the Asian female consumer, especially when it comes to our products, community and experiences.

There’s a lot more work to be done with all of our exciting plans. So we’re looking to team up with people who are wildly passionate about making an impact and be part of a dynamic team, in a workplace with no corporate BS (yes, you read that right!)

The Role:

Are you passionate about using data to solve real-world challenges? We are seeking a motivated and curious Data Science Intern to join our dynamic team and contribute to exciting projects that directly impact our business. This internship is a fantastic opportunity to gain hands-on experience, learn from experienced professionals, and develop your skills in the in-demand field of data science.

About Our Projects:

Our data science team tackles a variety of projects aimed at optimising our operations, enhancing customer experience, and driving business growth. Here are some of the projects you could be involved in:

• Demand Forecasting: Anticipating future product demand to enhance inventory control and production scheduling.
• Personalised Recommendations: Providing tailored suggestions to customers to enhance satisfaction and interaction.
• Attribute Tagging: Automating product attribute labelling to enhance search and filtering functions.
• Size Recommendation: Suggesting optimal sizes for customers based on their measurements and preferences.
• Fraud Prevention: Detecting and flagging potential fraudulent activities to safeguard against risks.

What We Are Looking For:

• Data wizard with a fashion flair: Possess a strong foundation in Python, SQL, statistics and machine learning.
• Problem-solving aficionado: Ability to think critically, solve problems creatively, and communicate effectively with both technical and non-technical audiences.
• Team player with an independent spirit: Collaborate seamlessly while taking initiative and ownership of your projects

Advantageous to Have: 

• Experience working with Databricks, PySpark, TensorFlow/PyTorch, and data visualisation platforms like Tableau or Metabase is a plus
• Passionate learner: Eager to delve into the world of fashion e-commerce data and continuously hone your skills

• Work on real-world projects that have a direct impact on the business.
• Gain hands-on experience with industry-standard data science tools and methodologies.

• Be mentored by experienced data professionals and learn from their expertise.
• Develop your professional network and build valuable connections within the industry
• Market level internship salary and benefits provided
• A dynamic, no corporate-BS environment to learn and grow

As a member of the advanced development team, the candidate will gain hands-on experience working in an R&D lab that leverages on AI (i.e., machine learning/deep learning) to address challenging real-world project use-cases. Specifically, the candidate will work on a project related to improving the AI model performance on small and imbalanced datasets using generative models. Overall, the candidate will support the team on:

• Exploratory data analysis (EDA), feature engineering, and optimize existing AI model’s performance.
• Experimentation and identification of suitable generative models for industrial datasets.
• Continued development of existing web-based machine learning (ML) application dashboard, analytical methods interface, and time-series database.

We are seeking a skilled Data Intelligence Analyst to join our team. The ideal candidate should have solid data literacy, project management, and communication skills.  

This exciting role will be a key member of a motivated and high-profile team working on cutting-edge solutions. You would be involved not only in managing client data intelligence dashboarding solutions end to end, but also very much be a part of the product development itself, including our already successful adoption of AI technologies into our processes.

The candidate should possess strong data processing skills and technical capability. Additionally, the role will eventually directly manage projects for major multinational clients around the world, for which a knowledge of the digital media industry is an advantage. The candidate should also be comfortable with working with both internal and external contacts, including the ability to liaise and present to non-technical stakeholders. 

Responsibilities:

Data Literacy & Expertise:

• Build and manage data reporting solutions using one of the following BI solutions like Looker Studio, Tableau, and Power BI.
• Analyse complex distributed production deployments in Google Cloud Platform and share recommendations to optimize performance.
• Interpret and analyse large data sets using SQL and Python.
• Provide analytical assistance in designing, testing, evaluating, implementing, measuring, and monitoring projects.
• Ensure compliance with data management and data governance regulations and policies.

Project Management:

• Actively participate in competitive intelligence roadmap discussions and prioritize analysis requests.
• Create and deliver data outputs, customized reports, ad hoc analyses, and data visualizations to support new business pitches across the region.
• Assist in managing and prioritizing multiple projects while maintaining necessary process documents and procedures to ensure data accuracy.
• Organized, detail-oriented, and QA-focused approach to work.

Networking:

• Build strong working relationships with clients, vendors, and internal stakeholders across the region.
• Should actively participate in managing client requirements, maintaining SLAs & SOWs documentation, and team deliverables.
• One should be self-motivated to identify new business opportunities and look for opportunities to improve existing client relationships.

Position Overview

Autodesk is seeking an experienced data analyst reporting to the Senior Manager of Engineering to join the Licensing and Compliance team that administers Autodesk's business models and implements compliant access controls for all of Autodesk's products. You will be a valued contributor within the Identity & Licensing organization, where the mission is to establish a reliable and scalable platform for Identity, User Profile, Licensing, and License Compliance across all Autodesk products and services. The platforms detect and prevent non-compliance of Autodesk's licensing terms of use and is an important strategic initiative. These essential capabilities provide smooth, compliant, and consistent experiences for all users, customers, and partners associated with Autodesk.

This hybrid role focus will be on promoting a 'Platform First' philosophy, fostering the development of a platform that is cohesive, API-accessible, and ensures a uniform user experience. Furthermore, your role will involve helping ensure the Platform yields insights into customer product interactions, potentially leading to new revenue opportunities and customized user experiences.

Responsibilities

• Work with Licensing and Compliance product teams towards crafting data analytics artifacts to support outcomes
• Analyze large datasets to extract meaningful insights and business and operational trends over time
• Interpret data outputs and provide actionable recommendations to support decision-making
• Design, build and maintain reports and dashboards to capture and communicate key metrics and outcomes
• Create visualizations that can distill complex data patterns into simple and intuitive visual representations
• Ensure the accuracy, completeness, and reliability of the underlying data sources towards building confidence on the data outputs
• Implement data validation processes to detect and resolve any outages and failures
• Embrace an automation-first mindset and practices to prevent incidents and outages
• Participate in strategic decision-making with ad-hoc analyses for specific business questions or challenges
• Provide insights towards guiding product-related decisions and troubleshooting
• Work with product managers, engineers, and partners to capture and analyze data requirements
• Gather an understanding of the functional, technical, and business aspects of the licensing and compliance domain, and use this knowledge effectively to provide recommendations for data artifacts
• Demonstrate integrity and accountability towards deliverables and commitments towards achieving results
• Ensure that reporting and dashboard logic is documented so that it can be easily validated against expected outcomes

Minimum Qualifications

• Bachelor's degree or higher in Data Analytics, or similar
• At least 3 years of experience in the role of a data analyst
• BI visualization skills in Google Looker is preferred (any other BI tool would be advantageous)
• Understanding of databases and proficiency in writing SQL in systems like Hive, Snowflake and Presto
• Delivered solutions towards enabling decision-making using analytics
• Excellent team player and ability to work with multiple teams

Preferred Qualifications

• Exposure to the data engineering technology stack: SQL, Python, Spark, PySpark
• Familiar with Airflow for workflow management
• Experience in using data mining techniques, including supervised and unsupervised learning

#LI-PW1

Learn More

About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – our Culture Code is at the core of everything we do. Our values and ways of working help our people thrive and realize their potential, which leads to even better outcomes for our customers.

When you’re an Autodesker, you can be your whole, authentic self and do meaningful work that helps build a better future for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, we also have a significant emphasis on discretionary annual cash bonuses, commissions for sales roles, stock or long-term incentive cash grants, and a comprehensive benefits package.

Diversity & Belonging
We take pride in cultivating a culture of belonging and an equitable workplace where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).

• Perm, West (Hybrid Work Arrangements)
• Must have experience with leasing for flatted factories / data centers (B1/B2 industrial)
• Sound understanding of the industrial leasing industry with an extensive network of contacts.
• 5 years of relevant experiences in marketing and industrial leasing.

This position will be assisting to lead and manage the leasing team to maximise occupancy for the industrial properties within the company.

Job Description

• Formulating and implementing strategies to maximise rental and occupancy of the properties within the Company’s commercial portfolio.
• Securing new tenancies, identifying market segments and prospects, managing lease renewals with existing clients, and liaising with property agents.
• Conducting market research of competitors and market benchmarks of rentals and occupancy cost.
• Managing tenancy related issues, compiling occupancy and rental reports and other related lease management functions including but not limited to budgeting.
• Carrying out substantive business development work to secure new tenancies prospects; identify market segments and provide lease management support.
• Support Manager in preparing annual rental budget, rental forecast as well as monthly management reporting.

• Bachelor of Science in Real Estate, Property Management, Estate Management, Business, Marketing.
• 5 years of relevant experiences in marketing and leasing.
• Sound understanding of the real estate and industrial leasing industry with an extensive network of contacts.
• Strong presentation, negotiation and effective interpersonal skills.
• Candidates who are registered as Salespersons under the Estate Agents Act (EAA) or possess qualifications equivalent to Real Estate Salesperson (RES) examination will have added advantage.

Triton AI Pte Ltd

Registration Number: R1980724

EA: 21C0661

• Perm
• Attractive Bonus
• Medical Coverage
• Hybrid work arrangements

Position Summary / Project Description

The DC/FM role will be assisting in managing of the Data Centre facility like power, cooling, space and Asset inventory. He or she will need to work closely with DCFM Lead and the project team to deliver the project within the timeline.

Years of Experience

Experience working in Data Centre and Facility management operations in day to day operations and maintaining IT systems.

Role and Responsibilities

•  Perform health monitoring of the DC M&E equipment
• Attend to users’ request related to DC FM
• Assist with cabling works within the DC
• Monitor ticketing system and follow up on necessary actions
• Pre M&E maintenance works related to DC M&E equipment
• Post M&E maintenance works related to DC M&E equipment
• Attend to user enquiry about Co-Location via Service request
• Monitor power utilization for equipment in DC
• Monitor of rack space utilization in DC
• Work with vendor to identify Operational Technology (OT) devices
• Prepare risk register for vulnerabilities devices, inclusive of vulnerabilities assessment scanning
• Ensure all DC asset movement activities are updated
• Assist DC manager and Team lead in reporting generating.

• Required to be on 24 x 7 standby.
• Proficiency in Microsoft office.
• Comfortable with 12 hours rotating shift:-8am to 8pm or 8pm to 8am as per assigned by Site Lead.
• Work 4 days off 3 days

• Build and optimizing ‘big data’ data pipelines, architectures and data sets.
• Performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• To support and develop Data modeling, Implementation activities.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Perform CI/CD Activities, Deployment activities in both cloud and on premises or as required.

• Experience with Data engineering tools (Python, Scala, Hadoop).
• Experience with relational (oracle, MySQL, MS Sql) or NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools.
• Experience with stream-processing systems
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala,etc
• Experience on Cloudera/ Data bricks/ Snowflakes platforms will be added advantage
• Experience with Cloud (Aws, Azure or Google).

• At least 2-3 years’ experience in business intelligence, consultancy, or data research
• At least 2-3 years’ experience in an editorial or analytical role
• Proven experience in analysing complex company financial data and company due diligence, and making consistent assessments of a company’s financial standing

This position presents an exciting opportunity for an energetic, results-driven, and personable individual with a strong analytical and data experience.

Job Description

• Produce an agreed number of credit reports per month against volume and timeliness KPI and support the Credit Risk Team Lead – APAC to ensure the regional and global targets are met
• Actively research and analyse companies, shipping, and financial markets as well as other relevant data and information to make confident and concise credit risk judgements while displaying knowledge and integrity
• Support the Credit Team Lead in training and onboarding Credit Report Analysts, mentoring and coaching junior colleagues, and contribute to training materials and process improvements
• Grow and maintain a network of contacts via phone and email by engaging in proactive information exchange, acting as a brand ambassador of Lloyd’s List Intelligence
• Ensure that any critical and non-critical errors in output are flagged and escalated accordingly
• Support the Credit Risk Management Team by being a regional go-to person for company analysis SME and therefore attend client calls when required alongside sales and/or product management, and when required support our account managers on networking events and relevant conferences
• Stay abreast of market news and new Seasearcher product developments and functionality covered in Go to Markets and continually develop your understanding of the maritime industry to enable high quality writing on the profile of the company
• Foster collaboration and share information with other in-house data teams that research company ownership structures, to optimise the quality of data

• At least 2-3 years’ experience in business intelligence, consultancy, or data research
• At least 2-3 years’ experience in an editorial or analytical role
• Proven experience in analysing complex company financial data and company due diligence, and making consistent assessments of a company’s financial standing
• Proficiency in written and spoken English
• A customer-first approach and strong time management skills and ability to produce high quality content within set deadlines
• Ability to compile training methodology and feedback documents to drive output enhancements is a pre-requisite
• Advanced OSINT research skills is a requirement
• Strong stakeholder management is required in this role, across all areas of the business
• A flexible, can-do attitude with the ability to manage several ongoing tasks at any one time

Triton AI Pte Ltd

Registration Number: R1980724

EA: 21C0661

• Perm
• Attractive Leave Benefits
• Work from anywhere policy
• Medical & Insurance Coverage