About Ashurst

Ashurst is a leading progressive global law firm with a rich history spanning more than 200 years. We are proud of our history and are future-focused, having expanded into new technologies through our NewLaw division, Ashurst Advance, and our consulting arm. Our in-depth understanding of our clients and commitment to providing excellent standards of service have seen us become a trusted adviser to local and global corporates, financial institutions and governments in all areas of commercial law. To find out more please visit www.ashurst.com.

Job overview

• Perform legal research and analysis to effectively advise clients on legal matters.
• Draft legal documents and correspondences.
• Any other legal work as assigned by partners in the Practice.

Essential skills and experience

• Law degree from a good university.
• Strong command of English, both written and spoken.

Background checks

In order to comply with regulatory and client requirements, Ashurst will undertake appropriate vetting of staff. When applicants accept a job offer, Ashurst, alongside a specialist provider, will undertake professional verification and background checks. These checks are only undertaken with consent, and in accordance with our legal and regulatory obligations.

❗️Our company is expanding and we want YOU ❗️

We are a bunch of dynamic individuals who works towards being the Leader in the Sales & Marketing Industry. We work closely with MNCs in the market Locally and Overseas. We believe that our People are our Greatest Asset. Here, we focus on developing each and every individual from personal to business skills and we do our best to see everyone coming in & out with Happiness.

Our organisation has grown over the years and we want to find like-minded and fun individuals to grow together with us!

Every person in our company has a superpower, we believe that by identifying the superpowers of our people, we will not only discover hidden talent but inspire everyone to bring their personal best! When people unleash their superpowers, they know that what they bring to the team is irreplaceable. What you do matters, and everyone has something special to contribute.

You are not just a worker waiting to end work, but a hero who can save our day!

Responsibilities:

- Meeting or exceeding clients' sales goals

- Increase customer leads, and pitch prospective customers through different marketing channels

- Contact between our clients' and its existing and potential markets

- Provide on-the-ground support for sales team as they generate sales revenue

- Leading a sales and marketing team

Who are we looking for:

- People-oriented

- Keen learner

- Enjoy meeting people

- Positive & determined

- Resilience & adaptable

Rewards:

- Structured advancement opportunity

- Vibrant and supportive environment

- Coaching provided (no experience required)

- Travelling opportunities (Regional and International)

*We regret that only selected candidates will be notified.

Responsibilities: Lead the patch management process, including the timely deployment of patches and its relevant updates to ensure the security, stability, and performance of Business services. Responsible for the coordination of all Systems Engineering patching activities for customer server operating systems in accordance with agreed upon schedules with the customer(s). Prepare the patch deployment calendar and publish to all stakeholders. Supervise the day-to-day operations of IT Patch Management team providing some guidance in the related area, encouraging teamwork. Supervise the activities and work of subordinates to ensure that all work within a specific area is carried out in an efficient manner and in compliance. Oversee the execution of patches & updates deployments, closely monitoring progress, and addressing any issues or roadblocks that may arise. Ensure that deployments are conducted according to the defined plans, with minimal disruptions to end-users or services performance and availability Collaborate with various stakeholders, including IT teams, Information security teams, vendors, and business units, to gather requirements, communicate patches schedules, and address concerns. Effective communication and coordination are critical to ensure smooth patches operations and minimize the risk of system vulnerabilities Collaborate with incident management teams to address security incidents related to vulnerabilities or unpatched systems. Develop incident response plans and participate in incident investigations and remediation efforts Run monthly/quarterly compliance reports and identify required patches. Participate in monthly patch review and schedule meetings to review patch calendar. Prioritize and schedule mutually agreed system patching and maintenance. Preventive/Proactive Support Able to support on weekend as and when required.Required Technical and Professional Expertise (Mid to Expert Level) A Bachelor s degree or equivalent in Information Systems or related field Having 8+ years of related experience. Knowledge of Infrastructure Patching tools like SSCM, Bladelogic, Bigfix., etc. Knowledge of using Jira. Good understanding of large Data Center Facilities operation Experience in Managing 10+ member team. Strong understanding of server operating systems and patching process. Managed Services or consulting experience is a plus. Excellent understanding of the organization s goals and objectives. Ability to conduct research into systems issues and products as required. Highly self-motivated and directed. Able to prioritize and execute tasks in a high-pressure environment. Strong customer service orientation.

Ability to lead team, collaborative environment.

(1.) To adhere to quality standards, regulatory requirements and company policies

(2.) To ensure positive customer experience and CSAT through First Call Resolution and minimum rejected resolutions or Reopen Cases

(3.) To participate or contribute on EN business in creation of proposals to drive Service improvement plans.

(4.) To independently resolve tickets and esnure that the agreed SLA of ticket volume and time are met for the team.

(5.) To provide support for on call escalations orL3 level support and doing incident and problem management (6.) Work on value adding activities such Knowledge base update and management, Training freshers, coaching analysts and conducting interviewsorparticipation in hiring drives.

Company Overview:

Traveloka is a leading technology company that provides a one-stop travel and lifestyle platform for customers in Southeast Asia. Our platform offers a wide range of travel-related services, including flight and hotel bookings, activities, attractions, and more. With a mission to empower travelers with seamless experiences, we're committed to pushing the boundaries of technology and innovation in the travel industry.

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description

Our data science team is responsible for solving complex problems and optimizing various aspects of Traveloka’s business. You will get a wide range of exciting opportunities to bring impact by helping to make decisions at scale across our various business lines, and get to work with the brightest minds in the industry. Join us in revolutionizing the travel industry through data!

Key Responsibilities:

• Collaborate with multiple marketing domains to understand their challenges and goals in optimizing marketing spend to get maximum return
• Translate business problem to data science problem or ML problem
• Develop, implement, and maintain data-driven solutions and systems
• Oversee and manage multiple data science projects, ensuring they meet objectives and are delivered on time

Requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, or related fields. Master's degree or higher preferred
• 5 or more years of experience in data science or related roles
• Excellent understanding of business operations and the ability to translate business requirements into technical specifications.
• Experience/familiarity with some of the following:
  Experimentation
  Marketing Measurement
• Strong expertise in Python and experience with ML/Stats libraries (scikit-learn, LightGBM, CatBoost, etc) and OR libraries (OR-Tools, etc).
• Proficient in data manipulation and analysis using SQL.
• Experience with cloud-based tech stack and containerization. GCP will be preferred.
• Proven experience in managing data projects from inception to completion.
• Exceptional interpersonal and communication skills, including the ability to describe complex technical concepts to non-technical stakeholders.
• Proactive, self-motivated, and able to work independently.
• Experience in implementing MMM, MTA, Propensity Models, CLV etc are plus
• Candidates with knowledge on digital marketing channels like SEM and GHA will be given higher preference

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Job: Operator ( Data Centre)
Duration: 24 months
Location: Central Singapore
Working hours: Rotational Shifts

The candidate will play a key role in automating production operations, ensuring seamless integration with the daily monitoring operations of the Agency’s IT systems.

Responsibilities:

• Continuous Service Improvement: Add value to Data Centre Operations by identifying improvement opportunities to sharpen Production stability, stakeholders experience and overall service quality.
• Identifying opportunities for automation within production processes to streamline operations and reduce manual intervention.
• Timely escalation and communication of major incidents such as escalation matrix, leading, driving, facilitating, and chairing all investigation activities.
• Being accountable for resolving the incident with workaround or permanent solution.
• Participate in troubleshooting system and network connectivity problems before escalation.
• Monitoring production metrics and performance indicators to ensure targets are met.
• Ensuring compliance with safety and regulatory standards in production.
• Other ad-hoc duties as instructed.

Requirements:

• At least 5 years IT experience as Level 1 Production Operations engineer.
• Strong analytical skills: The ability to analyse production processes and identify areas for improvement and optimisation.
• Technical Proficiency: Profound knowledge of production systems issues and effective solutions to enhance operation efficiency.
• Problem-Solving Aptitude: A knack for troubleshooting production issues and devising effective solutions to enhance operational efficiency.
• Experience in Data Centre facilities, including temperature and humidity monitoring system, smoke detection and fire suppression systems, Uninterrupted Power Supply (UPS) units, CCTC, keypress units, etc.
• Familiarity with AWS tools such as CloudWatch, Cloud Trail, etc would be an advantage.
• Able to work shift duties.

The shift hours are as follow:

▪ 1st shift - 7:00 am to 3:00 pm
▪ 2nd shift - 2:45 pm to 10:30 pm
▪ 3rd shift - 10:15 pm to 07:15 am

The 8-day rotational shift pattern is as below:

▪ Two days 1st shift, followed by
▪ Two days 2nd shift, followed by
▪ Two days 3rd shift, followed by
▪ Two off days

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

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We are an affiliated company by common shareholders with Activate Interactive Pte Ltd which company logo appears on the top of this page.

Actxa creates evidence-based, personalizes health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

More information about us: https://www.actxa.com

Actxa is hiring for Lead Data Scientist

Internal Code: AX24002

We are seeking a passionate and visionary Lead Data Scientist to lead our data science efforts in shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis. Your work will directly contribute to improving the health and well-being of the population, reducing healthcare costs, and championing a proactive approach to healthcare.

In this managerial-level role, you will drive the company’s technology solutions and research initiatives. You are responsible for leading and managing a team of Data Scientists and Researchers in delivering science and data-driven innovations in preventive health and population wellness.

This role requires you to have prior experience in end-to-end solutions deliveries from research to implementation involving Artificial Intelligence, data analysis, Machine Learning (ML), data analysis and statistical modeling.

What will you do?

1. Data Analysis and Modeling:

• Utilize advanced statistical techniques, artificial intelligence and machine learning algorithms to analyze complex datasets.
• Develop predictive and prescriptive models to achieve business and commercial goals.
• Explore and identify patterns, trends, and anomalies in data.

2. Team Leadership:

• Lead, mentor, and manage a team of data scientists and researchers.
• Provide guidance and direction for project planning, execution, prioritization and documentation.
• Foster a collaborative and innovative team culture.

3. Research Strategy:

• Define research objectives, strategies, and roadmaps in alignment with organizational goals.
• Develop and adhere to clinical research protocols for studies involving human subjects.
• Stay updated with the latest developments in data science and research methodologies.
• Identify emerging technologies and tools that can enhance research capabilities.
• Establish research partnership and collaboration with local and overseas institutions.

4. Data Collection and Preparation:

• Oversee data acquisition, cleaning, and preprocessing.
• Ensure data quality and integrity to maintain the accuracy of analyses.
• Collaborate with data engineering teams to streamline data pipelines.

5. Experimentation and Hypothesis Testing:

• Design experiments and conduct hypothesis testing to validate research findings.
• Evaluate the effectiveness of various models and methodologies.
• Implement A/B testing and other statistical methods to drive decisions.

6. Cross-functional Collaboration:

• Collaborate with consultants, advisors and internal teams, such as software & hardware solution, sales, marketing, and operations, to address business challenges and commercialisation opportunities.
• Provide data-driven recommendations and insights to support decision-making in clinical research projects.

7. Project Management:

• Manage multiple research projects simultaneously, including resource allocation and timelines.
• Monitor project progress, identify risks, and implement mitigation strategies.

8. Continuous Improvement:

• Drive process improvements and best practices in data science and research.
• Evaluate and implement new tools and technologies to enhance research capabilities in clinical research studies.

What are we looking for?

• Advanced degree (Ph.D. or Master's) in a relevant field such as Computer Science, Data Science, Statistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, or related discipline.
• 5 years of experience in artificial intelligence, data analysis, statistical modelling, and machine learning with strong programming skills in languages such as Python, R, SQL and C/C++.
• Candidates with domain knowledge in wearable technologies, preventive health, wellness, fitness, mental health, chronic disease prevention & management, population health, etc will be considered favourably.
• Ability to think critically and solve complex problems.
• Proven track record of successful project management and delivery of data-driven solutions.
• Continuous learning mindset, staying updated with the latest advancements in health tech, med tech, chronic disease prevention and management, and artificial intelligence.
• Excellent communication and leadership skills.
• Natural tenacity, resilience, and determination.

What do we offer?

• Fun working environment
• Employee Wellness Program

Actxa Pte Ltd is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Actxa Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Actxa Pte Ltd.

Your personal data will be processed for the purposes of managing Actxa Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice ( https://www.actxa.com/privacy-policy ) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Zenith Infotech (S) is a Tech Recruitment firm with 27 years of experience in Singapore, supporrting clients in terms of ICT Consultant placments.

Currently we are looking out for a Data Analyst with 3 years of experience, best working in Contact Center enviornment before or presently.

Responsibilities :

• Extract and clean the data from various data sources to generate daily, weekly and monthly reports.

• Writing SQL queries to retrieve information quickly.

• Fulfil ad-hoc data request from client and management.

• Work / Collaborate with Developer(s) to automate reports

• Liaise with client on data related queries

• Analyze contact center performance metrics, including call volume, response times, and customer satisfaction scores.

• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).

• Identify trends and patterns in data to inform operational improvements and strategy.

• Collaborate with management and other departments to develop actionable insights and recommendations.

• Support the implementation of process improvements based on data findings.

• Ensure data integrity and accuracy.

• Assist in forecasting demand and capacity planning based on historical data trends.

• Stay updated on industry best practices and emerging technologies in data analysis.

• Perform other duties and responsibilities that may be assigned to you by the management within your category of employment.

Qualifications and Skills:

• Minimum Bachelors in Business, Computer Science, Mathematics, Data Analytics, or a related field.

• At least 1 to 3 years of experience building reports using Excel, SQL AWS Quick sight or any other business intelligence and data analytics tools.

• Proficiency in data analysis tools (e.g., Excel, SQL, Python) and data visualization software (e.g., Tableau, Power BI).

• Proven experience in data analysis, preferably in a contact center environment.

• Strong communication and presentation skills

• Proactive and able to work independently with minimum supervision.

• Excellent time management with strong critical thinking and ability to handle pressure.

• Detail-oriented with a strong focus on accuracy and data integrity.

• Familiarity with statistical analysis and modeling.

WHO WE ARE:

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

YOUR ROLE:

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other PALO IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

YOUR RESPONSIBILITIES:

• Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.
• Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.
• Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.
• Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.
• Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.
• Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.
• Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.
• Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.
• Support the definition and optimization of underlying data infrastructure

WHO YOU ARE:

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
• Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
• Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
• Experience with batch & ETL jobs to ingest and process data from multiple data sources
• Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
• Experience with querying tools (e.g Hive, Spark SQL, Impala)
• Experience with Power BI
• Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
• Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)
• High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)
• You are passionate about technology and continuous learning comes naturally to you

We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa.

MORE ABOUT PALO IT:

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company
• Attain 50% of revenue from projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all our offices across the globe
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training

For more on our team culture and benefits, check out our careers page.

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.

Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

The Data & Machine Learning Engineer plays a hybrid role that focuses on developing a modern Lakehouse platform, building data pipelines, and deploying machine learning models at scale. This position blends the responsibilities of a Data Engineer and Machine Learning Engineer to ensure robust data infrastructure and effective deployment of ML models. The ideal candidate will collaborate with cross-functional teams, working closely with Data Analysts, Business Analysts, and DevOps engineers to deliver reliable, scalable, and efficient data and ML solutions.

Key Responsibilities:

• Build, automate, and optimize ETL/ELT pipelines to ensure smooth data flow and availability across the Lakehouse platform.
• Partner with analysts to design scalable data storage solutions optimized for analytics and ML applications.
• Ensure data quality by implementing monitoring mechanisms to guarantee consistency, reliability, and compliance.
• Continuously monitor ML models, retrain and adjust them as necessary to maintain high performance.
• Design and implement CI/CD pipelines for seamless model deployment and ensure reliable delivery of models into production environments.
• Provide guidance and mentorship to junior engineers, supporting their growth and enhancing project delivery capabilities.

Skills & Experience:

• Strong teamwork skills, able to align data solutions with business needs, and communicate effectively across technical and non-technical teams.
• Expertise in analyzing data-driven insights and translating them into technical solutions.
• Proficient in designing and implementing data pipelines using Databricks and Spark.
• Advanced skills in SQL and Python for querying, modeling, and transforming data efficiently.
• Expertise in deploying machine learning models and creating APIs for serving predictions.
• Skilled in processing large-scale datasets and supporting machine learning workflows on Databricks.
• Experience in building CI/CD pipelines for automated deployment, testing, and validation of data pipelines and ML models using GitHub and GitHub Actions.
• Proven ability to monitor ML model performance, track key metrics, and maintain accuracy.
• Experience with automating cloud infrastructure using tools like Terraform for consistent deployment and scaling.
• Basic knowledge of Power BI for visualizing model performance and metrics.

Qualifications Required:

• 5+ Years in Data Engineering: Solid experience building and maintaining data infrastructure, including best practices in data pipeline development.
• 3+ Years in Machine Learning Engineering: Demonstrated experience managing the lifecycle of ML models from deployment to monitoring and retraining.
• Business & Data Transformation: Proven track record in supporting business transformation and process improvements by leveraging data-driven solutions.
• Agile Methodologies: Comfortable working in Agile environments with the ability to adapt and respond quickly in fast-paced settings.

To apply, simply click the "Apply" button or send your updated profile to [email protected]

EA Licence No.:18S9405 / EA Reg. No.:R1330864

Percept Solutions is expanding and actively seeking talented individuals. We encourage applicants to follow Percept Solutions on LinkedIn at https://www.linkedin.com/company/percept-solutions/to stay informed about new opportunities and events.

The Opportunity

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

Job Responsibilities:

• Assist the Sr. Manager of Data Management & Operations in shaping both short- and long-term data strategy at a global level.
• Take ownership of our Azure ETL pipeline and data warehouse (ADF/DBT/Apache Airflow/AKS) from design to implementation to maintenance
• Assist in the maintenance of an existing on-prem data infrastructure (SSIS/SQL Server) while we complete our migration to the cloud
• Design, architect, and lead the implementation of ETL/ELT pipelines, data schemas/models, and data marts for business users.
• Ensure the reliability and availability of core data infrastructure with proper monitoring and alerting systems to guarantee continuous data delivery to the business.
• Take ownership of data quality and governance. Collaborate with business and IT teams to establish and meet data standards, including developing automated data checks and data quality monitoring dashboards.
• Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation.
• Stay updated with current industry best practices and trends, and evaluate technical decisions at a business level.
• Provide leadership, guidance, and oversight to data engineers.

Requirements:
• Bachelor's or Master's degree in Computer Science or a related engineering field from a technical university.
• 8+ years of experience in data engineering, with 3+ years of experience as a senior/lead data engineer
• 3+ year of experience with Agile/DevOps tools (Git, Jira).
• 2+ years of experience with Azure data infrastructure (e.g. ADF, DBT, AKS, IaC).
• Deeply knowledgeable of data warehousing best practices, especially in the Azure cloud environment, with a strong commitment to staying current with industry trends and future advancements.
• Thoroughly familiar with the relevant trade-offs within different data modelling schemas (e.g. 3NF, star, snowflake, data vault) and storage architectures (e.g. data warehouse, data lake, data lakehouse)
• Previous leadership experience as a senior engineer or project lead, with the ability to hire and lead a small team of 1-4 junior/senior data engineers.
• Highly motivated, with a proactive approach to project ownership and accountability for outcomes and timelines. Committed to continuous personal growth and development within the organization.
• Fluency in both written and spoken English and Mandarin is highly desirable to effectively liaise with Chinese-speaking clients and counterparts, understanding their technical requirements.

Desirable skills
• Proven experience with cloud infrastructure at a global scale, with knowledge of navigating global data regulations at a technical level.
• Experience with master data management using modern MDM tools, ideally at a global scale and/or in a cloud environment.
• Background in the shipping/maritime or chemicals industry.
• Previous managerial experience as a manager.
• Experience with PowerBI and Plotly.

1) Checking and audting of submitted documents

2) Folllowing up for outstanding documents

3) Preparation and final submission.

4) Monitoring Payment

5) Prcessing Payment

6) Disbursement of Fees

7) Attending to clients' queries

About This Opportunity

As a customer data scientist you will help customers be successful in their AI Journey. You will aid them in leveraging AI in the organization for different use-cases, building successful models and deploying them in production environments, bringing GenAI capabilities in the AI journey of the customers, and ensuring that they get business impact and value.What You Will Do

• Deliver data science and/or machine learning professional services to our customers.
• Support customers by helping build custom data models, transformation, scorers/optimization loss functions/metrics that can be leveraged with H2O Driverless AI and help improve training performance for the customer use cases/domains.
• Demonstrate different use cases and data science capabilities by building end to end AI Applications using H2O products and solutions.
• Design and run training sessions for our customers in data science concepts as well as using H2O products. Training will need to be able to be delivered to audiences with varying data science skills and abilities.
• Help customers understand the nuances of data science, expert settings of H2O Driverless AI and H2O open source, and the strategies of experiment tuning that you would use to incrementally improve model performance. This also includes explaining model performance, model interpretability, and post deployment model monitoring concepts so as to ensure the business is making the right decisions on the model predictions.
• Translate business cases and requirements into value based technical solutions through the architecture of machine learning workflows and systems from data ingestion to model deployment.
• Participate in the development of ML solutions and AI applications for internal use, contributing to the advancement of our technology stack.
• Build and deploy machine learning models and AI applications to address customer-specific challenges.
• Work closely with cross-functional teams to gather, preprocess, and analyze data to develop data-driven solutions.

What You Bring

• Proven experience in data science, machine learning, and AI with a minimum of 2 years of hands-on experience.
• Experience in customer facing while dealing with different teams – technical, business, domain people.
• Experience in delivering technical sessions with different customer teams
• Interest in Generative AI and Large Language Models (Prompt Engineering, Retrieval Augmented Generation, LLMOps, Making custom LLM models, fine tuning etc, Guardrails)
• Proficiency in programming languages such as Python.
• Experience with solving machine learning problems using H2O ML products (plus), Python, R
• Knowledge and experience using a variety of machine learning techniques (supervised/unsupervised, clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning techniques.
• Experience visualizing and presenting (EDA) to stakeholders using H2O Wave (plus), or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBi.
• In depth understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

RESPONSIBILITIES

As a Senior Frontend (Full Stack) Engineer, you will be responsible for designing, developing, and maintaining our data product suite. You will work closely with cross-functional teams including data scientists, data engineers, and UX/UI developers to create scalable, robust, and user-friendly applications. Your expertise in both front-end and back-end development will be crucial in implementing innovative features and ensuring seamless integration between different components of our data products. This role requires strong problemsolving skills, a deep understanding of data processing and visualization techniques, and a passion for delivering high-quality software solutions.

Responsibilities

• Collaborate with product owner, data scientists, data engineers and designers to understand product requirements and translate them into technical specifications.
• Design and develop full-stack solutions, including user interfaces, APIs, data processing and storage.
• Implement data visualization components using modern front-end frameworks and libraries.
• Develop scalable and efficient back-end services to handle data from multiple data source with complex business logic.
• Optimize application performance and ensure high availability and reliability.
• Conduct code reviews, ensure seamless deployment and testing of the data products and provide constructive feedback.
• Stay updated with the latest industry trends and best practices in full-stack development, data engineering, and data visualization.
• Troubleshoot and resolve issues reported by users, ensuring a smooth user experience.
• Continuously improve software development processes and contribute to the overall technical excellence of the team

• Bachelor's or master's degree in Computer Science, Software Engineering, or a related field.
• 5+ years of professional experience as a Full Stack Engineer, with a focus on datadriven applications.
• Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (e.g., React is preferred as we use React in our team).
• Expertise in server-side programming languages such as Node.js, Python or Java.
• In-depth knowledge of databases and SQL, with experience in designing and optimizing data models.
• Familiarity with data processing frameworks (e.g., Apache Spark) and big data technologies (e.g., Kafka) is a plus.
• Solid understanding of RESTful APIs and microservices architecture.
• Experience with cloud platforms (e.g., Azure, AWS) and containerization technologies (e.g., Docker, Kubernetes).
• Proficiency in version control systems (e.g., Git)
• Excellent problem-solving skills and the ability to debug complex issues in a distributed system.
• Strong communication skills and the ability to work effectively in a collaborative team environment.
• Prior experience working on data products or analytics platforms is highly desirable.

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We are an affiliated company by common shareholders with Activate Interactive Pte Ltd which company logo appears on the top of this page.

Actxa creates evidence-based, personalizes health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

More information about us: https://www.actxa.com

Actxa is hiring for Senior Data Scientist

We are seeking a highly skilled and motivated Data Scientist to join our dynamic team in shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis..

The ideal candidate will directly contribute to improving the health and well-being of the population, reducing healthcare costs, and championing a proactive approach to healthcare.

What will you do?

1. Data Collection, Processing and Preprocessing:

• Collect, clean, preprocess, and wrangle raw digital health data to ensure its quality, integrity, and suitability for analysis and modeling.

2. Data Analysis and Modeling:

• Utilize advanced statistical techniques, artificial intelligence and machine learning algorithms to analyze complex datasets.
• Develop predictive models to identify patterns, trends, and insights for proactive health interventions.

3. Feature Engineering and Model Development:

• Identify and engineer relevant features from diverse healthcare data sources to enhance model accuracy and performance.
• Design, develop, and fine-tune machine learning models for predicting health risks and outcomes.

4. Productization and Code Transfer:

• Follow through toward productization by deploying models into scalable, production-ready solutions.
• Implement data pipelines and automation processes for efficient data processing and extraction.

5. Documentation and Reporting:

• Document research, experiments, modelling techniques, and methodologies followed in projects.
• Provide comprehensive reports and presentations on results, findings, and recommendations derived from data analysis and predictive models.

6. Collaboration and Communication

• Collaborate with cross-functional teams including clinicians, data engineers, and product managers to understand business requirements and align data science initiatives with company goals.
• Effectively communicate complex findings and insights to both technical and non-technical stakeholders.

7. Continuous Improvement and Innovation:

• Stay abreast of the latest advancements in data science, machine learning, and healthcare technologies.

What are we looking for?

• Bachelor or Master degree in Data Science, Biostatistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, Computer Science or related discipline.
• 3+ years of experience in data science, healthcare analytics, or preventive medicine
• Proficiency in programming languages: Python, R, SQL
• Experience with machine learning frameworks: TensorFlow, PyTorch, Scikit-learn
• Good understanding of biostatistics, epidemiology, and research design
• Familiarity with cloud-based platforms: AWS & Ali Cloud
• Experience with wearable device data, signal and noise processing will be preferred.
• Keen interest in Chronic disease prevention, Population health management and Digital health interventions.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Natural tenacity, resilience, and determination.

What do we offer?

• Fun working environment
• Employee Wellness Program

Actxa Pte Ltd is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Actxa Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, gender, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Actxa Pte Ltd.

Your personal data will be processed for the purposes of managing Actxa Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice ( https://www.actxa.com/privacy-policy ) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Administrator
• Working Location: Benoi
• Working Hours: 5 days (9 am-6 pm)
• Salary Package: Basic Salary $2,500 + AWS + PB + Transport Provided
• Duration: Permanent Role

Key Responsibilities

• Verify trailer/prime mover number, model, and company name.
• Check if an inspection is required and whether the customer uses our account or their own.
• Upload before and after repair photos, ensuring all billable items have photos.
• Review all WhatsApp messages to ensure every completed job is accounted for and submitted in Kintone.
• Verify repair/maintenance job scope. If issues are unclear, confirm with workshop workers to avoid preparing incorrect DO.
• List all job scopes from Kintone in the maintenance report.
• Email the maintenance report to the customer and billing department.
• Perform any other ad hoc tasks assigned by your superior.

APPLY NOW!!!

• Minimum ITE qualification.
• Minimum 1 year of experience in data entry or related field.
• Experienced in Kintone is advantageous.
• Excellent communication skills with clients.
• Willingness to learn.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #68538 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring QlikSense professionals to handle BI Development end-to-end, as well as to join us in our cause to help customers stay modern, ahead of the Technology curve!

Roles and Responsibilities:

• Use SQL scripts to extract data from primary and secondary sources
• Develop dashboards and data visualizations to serve business needs using QlikSense
• Use Python scripts and QlikSense to clean, process, transform and visualize data
• Removing corrupted data and fixing coding errors and related problems
• Developing and maintaining data in databases, data systems – reorganizing data in a readable format
• Performing analysis to assess quality and meaning of data
• Filter data by reviewing reports and performance indicators to identify and correct code problems
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
• Preparing reports for stakeholders stating trends, patterns, and predictions using relevant data, with the aim of driving stakeholder action on their businesses/functions
• Building dashboards and curating data stories for use cases

Skills Required:

• Strong proficiency in Python scripting skill is essential
• Prior experience with QlikSense is essential
• Prior experience with QlikSense Data Load Editor is majorly advantageous
• Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions
• Knowledge of at least one database tool such as MySQL, MS SQL and/or PostgreSQL
• Strong mathematical skills to help collect, measure, organize and analyze data
• Adept at queries with good communication and stakeholder management skills

Role Summary

· Lead and manage Data, and AI Consulting projects from inception to completion, ensuring successful delivery within budget and timeline constraints.

· Collaborate with clients to understand their business goals and challenges and develop AI strategies and roadmaps to address their needs.

· Identify and evaluate Data transformation opportunities within client organisations to enable them to be AI-ready, conducting feasibility studies and assessing potential risks and benefits.

· Provide guidance and mentorship to junior consultants, fostering their professional growth and development in Data, AI and consulting domains.

· Stay up to date with the latest advancements in AI technologies and methodologies, leverage them for client projects and accelerate innovation and growth through the development of service offerings

· Collaborate with cross-functional teams, including data scientists, data engineers, business analysts, and industry experts to ensure seamless integration and implementation of Data transformation solutions enabling organising scale with AI.

· Build and maintain strong relationships with clients, acting as a trusted advisor and thought leader in Data, AI, and Consulting.

Key skills:

· Well-defined strong management consulting experience across Banking- Finance or Telco

· Develop, lead and drive teams to achieve bespoke outcomes.

· Ability to design Operating & Business Models specific to data platforms and emerging industry capabilities - mandatory.

· Experience in leading RFP/Tender responses on a large scale with revenue targets.

· Demonstrated ability in defining and delivering hybrid & multi-cloud strategy/roadmap, migration, and adoption.

· Experience with Cloud domain (AWS, Azure, Google, private cloud providers) which could be led through digital transformation and/or migration projects.

· Understanding of emerging business priorities like Application Portfolio Rationalization, AI, and ML

Technology strategy transformation, “Business of IT” analysis

Job Title: Senior Data Engineer (5-10 Years of Experience)

Position Summary:

A company is seeking an experienced and skilled Senior Data Engineer with 5 to 10 years of hands-on experience in building and managing data pipelines and big data infrastructure. The ideal candidate will possess a strong technical background in data engineering tools, big data ecosystems, and programming languages. This role focuses on designing, implementing, and optimizing complex data workflows using technologies such as Apache Airflow, Apache NiFi, Kafka, PySpark, and Spark Scala. Candidates with a strong background in Python, Java, and shell scripting are highly preferred.

Responsibilities:

• Design, build, and maintain scalable and reliable data pipelines to support real-time and batch processing requirements.
• Manage, monitor, and optimize workflows in Apache Airflow to ensure data quality and integrity.
• Develop and integrate data flows using Apache NiFi for seamless data ingestion and transformation.
• Work extensively with Apache Kafka for data streaming and messaging across various data sources.
• Implement data processing solutions using PySpark and Spark Scala to handle large-scale datasets and complex transformations.
• Write efficient code in Python and Java to automate data workflows and support data engineering needs.
• Utilize shell scripting for operational tasks and automation within the data environment.
• Collaborate with cross-functional teams to understand data requirements and provide optimized data engineering solutions.
• Ensure data security, compliance, and performance by following best practices in big data and distributed systems.
• Continuously improve the performance, scalability, and reliability of data processing pipelines.

Required Skills and Experience:

• Apache Airflow: Extensive experience in managing, scheduling, and monitoring data pipelines.
• Apache NiFi: Strong experience in designing data flows for data ingestion and transformation.
• Apache Kafka: In-depth knowledge of Kafka for real-time data streaming and messaging systems.
• PySpark & Spark Scala: Proficiency in using PySpark and Spark Scala for large-scale data processing.
• Programming Languages: Strong experience with Python and Java, with additional knowledge in shell scripting.
• Big Data Knowledge: Familiarity with big data ecosystems and distributed data processing.
• Ability to work independently and collaboratively in a fast-paced environment, handling complex data engineering challenges.

Educational Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Engineering, or a related field.

Preferred Qualifications:

• Experience in cloud environments (AWS, GCP, Azure) with big data components is a plus.
• Experience with version control tools (e.g., Git) and CI/CD practices in data engineering.
• Strong analytical, problem-solving, and communication skills.

Employment Type: Full-Time

• Lead a project design team from inception to delivery of hyperscale data centres with related activities for new builds and fit out projects
• Liaise with and support the Development Manager and senior management on client and customer proposals to ensure that there is seamless transition once projects are implemented
• Collaborate with our top cloud and enterprise customers and communicate presentations on all aspects of design
• Develop high level master planning, space planning and engineering solutions for potential new developments (feasibility stage)
• Produce consultant briefs to develop designs from feasibility stage through concept, scheme and detailed design stages, ensuring continuity of design philosophy and approach
• Coordinate technical aspects of direct procured equipment and facilitate alignment with the design team
• Understand commercial implications of engineering decisions and build cost models for customers.
• Leverage local subject matter expert's tribal knowledge, spread adoption of best practices
• Coordinate closely with data centre field operations to foster alignment and partnerships for business success
• Provide regular reporting, updates and presentations to senior management and internal stakeholders including progress reporting, risk assessments, investment committees, customer proposals and business case development.
• Build and manage project scope, equipment requirements and assist with proposals and capital requests
• Stay updated on data centre industry trends, best practices, and emerging technologies, incorporating them into designs and builds as appropriate

Job Requirements:

• 10+ years' experience in design and project delivery;
• A Bachelor’s engineering degree is a plus
• In-depth understanding of Australia business regulations with extensive experience working with relevant Partners in the region.
• Experience working for a data centre operator and previous hyperscale and cloud experience, ideally in the Asia Pacific market
• Good overall knowledge of the current data centre market in Australia
• Excel at communication and can deliver effective presentations on data centre operations to customers, peers and management
• Strong leadership and foresight to lead multi-disciplinary teams across multiple geographies
• Willing to travel to other APAC regions on a regular basis

Overview / Brief

Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally.

We are looking for a highly skilled Data Scientist for our global Weather Desk with a strong background in Meteorology. The ideal candidate will hold a PhD or Master’s degree in Atmospheric Science or a related field. We seek for someone who is passionate not only about data analytics and modeling, but also enjoys interpreting large-scale weather patterns and teleconnections. The role balances forecasting work for commercial teams and research projects using data science. The ideal candidate is proficient in weather forecasting and understands the driving forces behind expected weather patterns.

Diversity & Inclusion

LDC is driven by a set of shared values and high ethical standards

Diversity is part of our DNA. LDC strives to create a diverse and inclusive work environment where people can thrive regardless of gender, sexuality, ethnicity or background.

Sustainability

Sustainable value is at the heart of our purpose as a company

We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us.

Main Responsibilities:

• Lead global weather intelligence and monitoring for the SouthEast Asia regional commercial offices
• Conduct research, perform data analysis, and create predictive models using meteorological datasets
• Work with internal team to expand and improve suite of weather monitoring tools and visualizations
• Collaborate with cross-functional teams to translate complex weather/climate data into actionable insights through an agricultural commodity lens
• Present weather and research output to both technical and non-technical stakeholders on a regular basis
• Interact with our AI Hub in Singapore and ensure LDC benefits from the most recent developments in weather-related AI

Experiences:

• At least 1-3 years of relevant experiences
• Strong background in meteorology and forecasting
• Proven experience in research and data analytics
• Experience with agricultural commodities and trading is a plus
• Experience with modeling techniques and machine learning algorithms is a plus
• Experience with Google Earth Engine is a plus
• Genuine interest in commodity trading industry
• Strong analytical and statistical capabilities, with a proven track record in problem-solving
• Excellent communication skills
• Ability to work independently and in collaborative settings

Technical Skills:

• Proficiency in Python
• Experience in data analysis libraries (e.g. Pandas, NumPy, SciPy)

Academics:

• PhD or Master’s in Atmospheric Science, Agricultural Science, Meteorology or related field of study

We are looking for a skilled Data Engineer with strong development skills to join our dynamic consulting team. In this role, you will play a key part in designing and building scalable, high-performance data pipelines and applications, while working closely with clients to understand their unique data needs and deliver tailored solutions.

This position requires a solid foundation in data preparation, backend development, and API integration, with a primary focus on Python and React.js for frontend. You will be involved in all phases of the data lifecycle, providing technical leadership, and ensuring successful project delivery through close collaboration with clients.

Key Responsibilities:

· Client Interaction: Lead client interactions, including requirement gathering, technical discussions, and workshops to clearly define project goals and data solutions.

· Data Pipeline Development: Design, develop, and maintain robust data pipelines to process, cleanse, and transform large datasets for various applications.

· Full-Stack Development: Build secure, scalable APIs and integrate third-party services, databases (SQL, NoSQL), and systems while contributing to the development of user interfaces using React.js.

· API Integration: Develop and integrate APIs for seamless data flow between systems, ensuring high performance and security.

· Data Preparation & Processing: Implement data preparation techniques to clean, organize, and structure raw data for analysis, ensuring data readiness for machine learning and AI applications.

· Emerging Technologies: Explore and gain hands-on experience with emerging technologies such as Large Language Models (LLM) and Retrieval-Augmented Generation (RAG).

· Cross-Functional Collaboration: Collaborate with cross-functional teams to deliver high-quality projects within agreed timelines, ensuring optimal data performance and security.

· Continuous Improvement: Stay updated with the latest industry trends and technologies to drive innovation in data engineering projects.

Requirements:

· Passion for Emerging Technologies: A strong interest in staying ahead of the curve with new technologies like Large Language Models (LLM) and Retrieval-Augmented Generation (RAG), with a desire to continuously learn and integrate these into client data solutions.

· Data Engineering Expertise: Minimum of 3 years of experience in data engineering, with a strong focus on Python for backend data processing and React.js for frontend interface development.

· API Development and Integration: Expertise in building and integrating RESTful APIs for data flow and system integration, with experience working with SQL and NoSQL databases.

· Data Preparation Skills: Strong understanding of data preparation, ETL processes, and transforming unstructured or semi-structured data into structured formats.

· Infrastructure and Cloud Knowledge: Solid understanding of infrastructure, cloud platforms (Azure, AWS, GCP, Alibaba Cloud), and familiarity with network and security best practices.

· Consulting Experience: Ability to engage with clients through requirement gathering, leading workshops, and providing technical solutions that align with their data-driven business needs.

· Agile and Version Control Skills: Familiarity with agile methodologies and version control systems like Git, ensuring smooth collaboration and project efficiency.

· Problem Solving & Communication: Strong problem-solving skills with the ability to communicate complex technical information effectively to both technical teams and non-technical clients.

· Client-Focused Approach: Ability to understand client needs and translate them into scalable, high-performance data solutions that deliver value and enhance user experience.

· Track Record: Proven experience leading technical projects, guiding the data development lifecycle from requirements gathering to deployment, while ensuring quality and client satisfaction.

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business

Our Training & Simulation Systems business has close to 40 years of experience in delivering innovative learning, training, and simulation solutions to customers in the defence, public safety and security, and enterprise domains. We envision to create a better future together through learning, training, and simulation.

Together, We Can Make A Significant Impact
The role involves managing and leading Data and Analytics projects from inception to completion, ensuring they are delivered on time, within scope, and meet quality and GP standards. Key responsibilities include managing project resources, timelines, risks, and stakeholder relationships, as well as overseeing project financials and team development. The ideal candidate will have at least 5 years of experience in project management, with a proven track record in leading end-to-end data or AI projects as a vendor PM, particularly in Government sector. Strong leadership, problem-solving, and communication skills are essential.

Be Part of Our Success

• Manage and Lead Projects: Take charge of Data and Analytics projects from inception to successful completion.
• Scope and Timeline Management: Effectively manage project scope, dependencies, and timeline.
• Project P&L Management: Manage project resources effectively to meet the expected project gross margin.
• Risks and Issues Management: Identify risks and issues, and proactively resolve/mitigate them.
• Quality Assurance: Ensure the projects are delivered within the defined time, cost and quality parameters.
• Efficient Execution: Oversee the performance of tasks essential for achieving efficient project objectives.
• Stakeholder Management: Engage effectively with key stakeholders, manage, and maintain strong working relationships with clients.
• Team Development: Coach and develop project team members.
• Proposal Leadership: Lead the development of project proposal and ensure accurate cost estimation and adequate assumptions.

Qualities We Value

• Project Experience: Have experience managing 2 to 3 end-to-end data warehouse, data visualisation, and / or Analytics implementation. At least one of these implementations should have been in the Government or Education sector as a vendor project manager.
• Year of Experience: Possess 5 or more years of experience in Data Management and Enterprise Business Intelligences implementations.
• Leadership Experience: Demonstrate leadership skills, flexibility, and the ability to build strong relationship with clients, team members, managers, and senior executives in a consulting context.
• Problem-Solving: A self-starter with an analytical approach to problem solving. Enjoy problem-solving across various domains and industries.
• Team Collaboration: Thrive in a highly energetic and competent team environment.
• Quality Expectation: Prioritize client satisfaction, focus on outcome and uphold quality standards.
• Communication Skills: Excellent communication skills; both in written and spoken English.

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

• $1,800

• Reputable construction company

• Working location: Bukit Merah

• Monday to Friday, office hours

Responsibilities:

• Simple Date Admin duties

Requirement:

• Student on holidays welcome

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

Kindly email your resume in a detailed Word format to

[email protected]

We regret that only shortlisted candidates will be notified

People Profilers Pte Ltd

20 Cecil Street, #08-09 PLUS Building Singapore 049705

EA License Number: 02c4944

Registration Number: R1217882

Posting Personnel: Yeo Yi Rong

Tel: 6950 9757

Purchasing / Procurement Executive

Working Days: Monday to Friday
Working Hours: 8.30am – 6pm
Address: Marymount

Salary: $3,500 - $4,000

Procurement officers are responsible for evaluating suppliers, products, and services, negotiating contracts, and ensuring that approved purchases are cost-efficient and of high quality.

• Following and enforcing the company's procurement policies and procedures.
• Reviewing, comparing, analyzing, and approving products and services to be purchased.
• Maintaining and updating supplier information such as qualifications, delivery times, product ranges, etc.
• Maintaining good supplier relations and negotiating contracts.
• Researching and evaluating prospective suppliers.

Job Requirements:

• Diploma in Supply Chain Management, Logistics or Business Administration
• At least 1 years of relevant working experience in fulfilment and logistics role
• Proficient in Microsoft Office applications

WhatsApp: https://wa.me/6591044149 (Shermaine)

Siah Sze Ming Reg No: R24125414

The Supreme HR Advisory Pte Ltd EA No: 14C7279