• Support the transition of data migration activities from other vendors and ensure alignment with the overall migration strategy.
• Refine data migration requirements, update migration strategy, and coordinate with stakeholders to ensure all aspects of the migration are covered.
• Assess data quality issues, collaborate with business users to prioritize data quality analysis and address any concerns.
• Build and manage test cases, scenarios, test scripts, and define entry/exit criteria for successful data migration.
• Define and establish key performance indicators (KPIs) and dashboards to monitor the execution of the data migration process.
• Work closely with the Data Migration Lead to ensure adherence to timelines and project milestones while supporting the overall data migration strategy.
• Min. 3 years of IT Service Management (ITSM) experience, covering all phases of ITSM (e.g., ITIL).
• Min. 3 years of Business Analyst experience, including documentation and project management.
• Solid knowledge of ITIL or other ITSM frameworks.
• At least 3 years of working experience in banking/ financial service

greehill is looking for professional with good GIS and spatial orientation skills to process and quality control field date (photogrammetry and Lidar) to join our Singaporean team.

Who we are

As the global pioneer in nature-based smart-city solutions, we help cities around the world to become more sustainable and more resilient against climate change. We are leading in applying smart city technologies such as the latest remote sensing and machine learning to green urban assets. With our cloud-based platform cities improve the well-being of their citizens through a greener, healthier, safer and more resilient urban environment while reducing operational costs. We currently operate offices in Budapest, Berlin, Singapore, San Francisco and Paris.

Your contribution will be

• Verify the quality of acquired field data
• Process Mobile Laser Scanning trajectories and Terrestrial Laser Scanning data
• Align and adjust different measurements
• Ensure quality control of post-processed data
• Solve GIS related tasks of processing
• Manage camera adjustment
• Provide data export and data management

We need you to have

• Advanced computer skills (PC, Windows OS) with at least 5 years of experience
• GIS experience
• Good spatial (3D) orientation ability
• Ability and interest to quickly understand and apply new data processing pipeline
• Fluent English communication
• Strong team spirit

We give preference to

• Lidar data post-processing knowledge
• Experience with laser scanning, field data capture and data processing
• Knowledge of RIEGL processing software (RiscanPro, RiProcess)
• Knowledge of photogrammetry, camera calibration
• GNSS knowledge about RTK quality, raw GNSS data post-processing
• Interest in state-of-the-art technologies

As part of our recruiting process, we would like to request all interested applicants to apply directly through TD's Careers Site at:

https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Senior-Manager--Data-Scientist_R_1374555-1

Job Description:

Provide technical leadership across the Analytics function supporting fraud and financial crimes with an enterprise mandate. Role generally provides deep technical knowledge and expertise in customer interactions and financial crimes (including Fraud and AML) to explain complex data analysis and drive insights in a compelling manner to support a growth mandate and inform strategic change.

KEY ACCOUNTABILITIES

• Provide deep technical leadership and expertise to support and define future direction in one or more specialized areas or lead strategic development efforts on new or emerging data science related projects
• Work closely with business owners to identify opportunities and serve as an ambassador for data science
• Play a lead role on cross functional teams of data scientists, data and IT engineers, and business process owners to build cutting edge analytic solutions
• Design and deliver enterprise analytic solutions to our customers
• Develop powerful business insights from customer behavioural data and signals using advanced machine learning techniques
• Build complex statistical models that learn from and scale to petabytes of data.
• Provide analytical thought leadership and staying current on developments in data exploration and the application of data science
• Provide thought leadership and/or broad industry knowledge across multiple business / functional areas or across the enterprise
• Apply industry / analytical expertise to provide innovative and sound solutions that increase business results and/or minimizes risk
• Identify new analytical trends / data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and create analytical models that help answer impactful business questions
• Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured.
• Employ techniques and theories drawn on many fields within the broad areas of mathematics and statistics
• Be comfortable working through ambiguity and help make informed decisions
• Work in a highly interactive, team-oriented environment with Big Data developers and Visualization experts
• Act as a lead or top technical data scientist and work closely with senior leadership on significant data and analytics projects
• Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest
• Develop creative and innovative data driven analytical solutions to optimize operational efficiencies and leverage synergies to support overall business strategies
• Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
• Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils)
• Deliver advanced analytical capabilities above and beyond existing methods
• Exceptionally lead and run analytical projects autonomously and create and effectively deliver analytical presentations for executive audiences/stakeholders
• Showcase advance level peer leadership, impact and influence partner, and may mentor / coach peers
• Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques
• Act as a key business partner, guide and collaborate with business leaders to prioritize and identify key business needs and provide impactful analytical insights

EXPERIENCE & EDUCATION

• Undergraduate degree or technical certificate
• 12+ years relevant experience
• 3+ years managing a team supporting advanced machine learning
• Advanced coding skills (python, pyspark preferred)

• Support the transition of data migration activities from other vendors and ensure alignment with the overall migration strategy.
• Refine data migration requirements, update migration strategy, and coordinate with stakeholders to ensure all aspects of the migration are covered.
• Assess data quality issues, collaborate with business users to prioritize data quality analysis and address any concerns.
• Build and manage test cases, scenarios, test scripts, and define entry/exit criteria for successful data migration.
• Define and establish key performance indicators (KPIs) and dashboards to monitor the execution of the data migration process.
• Work closely with the Data Migration Lead to ensure adherence to timelines and project milestones while supporting the overall data migration strategy.
• IT Service Management (ITSM) experience, covering all phases of ITSM (e.g., ITIL).
• Business Analyst experience, including documentation and project management.
• Solid knowledge of ITIL or other ITSM frameworks.
• Working experience in banking/ financial service
• Experience in financial industry and/ or IT Service Management (ITSM) is a plus.
• Proficient in Microsoft Office (PowerPoint, Excel, Word) for documentation and reporting

COMPANY DESCRIPTION

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

Our core business includes:

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

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

RESPONSIBILITIES

• Work closely with data product team and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Work closely with product vendors to design, deploy and integrate different data platforms with the organization's ecosystem.
• Ensure that the deployed platforms follow the IT security and compliance policies.
• Establish processes and develop monitoring mechanisms to detect the availability of the platforms.
• Act as the solution architect and develop the end-to-end onboarding of projects onto the data platforms deployed in the organization for different BI needs such as data ingestion, visualization, data governance.
• Perform testing on the deployed data platforms

• Bachelor's Degree in Computer Science or equivalent.
• At least 5 years' experience of working as a platform support engineer or a software engineer or a data engineer.
• Solid working knowledge of implementing the optimal data structures and algorithms to create efficient and scalable applications in Java or Python.
• Strong hands-on experience and working knowledge of application implementation to implement new platforms.
• Familiar with application integration using RDBMS.
• Hands-on experience of using Linux (or Unix-like OS) as the development environment, and familiar with Shell scripts and command line tools.
• Knowledge of data integration and data visualization platforms such as Informatica, Tableau, and Power BI.
• Exposure and knowledge in the following technologies will be advantageous:
  • Java, Python
  • Snowflake, Oracle, MS SQL, Denodo
  • AWS services
• Experience in the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
• Good understanding and able to apply good industry practice of code versioning, testing, CICD workflow, and code documentation.
• Good team player, with strong analytical skill and enjoy complex problem solving with innovative ideas.
• Good communication/people skills and able to interact with data analysts, business end-users and vendors to design and develop solutions.
• Good at working with details and is meticulous for operations.

Job Summary

We are looking for Data Engineer who will be playing a key role in creating, building and maintaining our client’s data infrastructure.

Mandatory Skill-set

• Degree in Computer Science or related discipline;
• Minimum 2-3 years of experience in Data Analysis and experience of Project management;
• Knowledge of making frameworks and power point presentations;
• Good hands-on experience in Python/ Spark and SQL to code complex data engineering use cases;
• At least 2 years of experience in Data Management and data governance;
• Able to collect, parse, manage, analyse and visualise large sets of data to turn information into insights accessible through multiple platforms and works more with structured data;
• Basic project management knowledge, Team presentation skill & Business analytical skill;
• Excellent interpersonal, and communication skills with the ability to coordinate / work with multiple teams;
• Motivated, driven, logical, and possess excellent time management skills;
• Has strong analytical and problem-solving skills with attention to detail.

Desired Skill-set

• Experience in financial industry;
• Familiarity with Agile development methodologies.

Responsibilities

• Create, build, and maintain the data infrastructure required for Extraction, Transformation and Loading of data from a wide variety of sources.
• Ensure high-quality data is delivered to support Compliance model development.
• Support the implementation of Data Analytics / Automation for Compliance teams and Business stakeholders.
• Liaise with relevant stakeholders (e.g., Data Management Office) to identify and assess suitability of data for Compliance Data models.
• Liaise with Business stakeholders / analysts and ensure assembled data assets used for model development meet business requirements.
• Build & maintain data dictionaries / data requirements of implemented data models and coordinate with Data Scientist(s) in developing model narratives.
• Monitor the execution & performance of data models and liaise with IT for any technical / system outages.
• Keep track of datasets / tables in the working schema and support purging of unused tables periodically.
• Perform data analysis required to troubleshoot data related issues and support the resolution of raised data issues.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

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 are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is looking for Data Analyst

Internal Code: A24122

This is a contract role - the engagement is from January 2025 to July 2025

This is a healthcare application:

• Mobile application (iOS and Android)
• Dashboard (React)

What will you do?

• Support the development and business teams in unit testing and archiving data, engineered features, and algorithmic inputs/outputs throughout the data pipeline and to support analytics.
• Proven experience as a data engineer/ data analyst in mobile app development projects and administrative dashboards.

1. Create unit tests throughout the data and algorithms domain:

• Work with engineering and business teams to implement wide-coverage unit tests of data and engineered features at different stages throughout the data collection and processing pipeline
• Create unit tests of inputs to and outputs from the algorithms that drive the clinical service
• The unit tests include validation of the inputs and outputs of black-box machine learning algorithms
• Establish a regular process to execute the tests and document their outcomes as a part of our product development and release lifecycle

2. Implement and refine mechanisms to continuously archive the state of algorithmic inputs and outputs:

• Implement a process of taking snapshots of data/features input into algorithms necessary to recreate their outputs/predictions at any point in the past during the service
• Communicate requirements to the software development team

3. Assist in the successful delivery of regular service analytics and reports:

• Support the business and analytics teams in their daily and weekly delivery of reports on data completion, user engagement, and algorithm actions by addressing any data quality and validation requirements.

What are we looking for?

• Bachelor's Degree in computer science, engineering, business analytics, technology, or a related field.
• Minimum of 2 years of experience in data engineering, data analytics, or data product management roles within the tech industry. Experience in healthcare is a plus.
• Ability to implement tests in Python.
• Experience in machine learning algorithms
• Good understanding of the validation requirements of an algorithmic product. Knowledge of healthcare regulation and auditing requirements is a plus.

What do we offer in return?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd 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 Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive 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.activate.sg/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 Responsiblities:

- Develop and implement advance statiscal and machine learning models to solve complex problems.

- Lead the data-driven decison- making process, from date collection and analysis to implementation and monitoring of solutions.

- Partner with senior stakeholders, including product managers, engineers, and executives, to understand business objectives and translate them into actionable data insights. Provide strategic recommendations to drive business growth and operational excellence.

- Partner with senior stakeholders, including product managers, engineers, and executives, to understand business objectives and translate them into actionable data insights. Provide strategic recommendations to drive business growth and operational excellence.

Job Requirement :

Master’s in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced academic qualifications are highly desirable

At least 10 years of relevant working experience in data projects or data science or analytics.

Proficient in Python, R, SQL, and other programming languages and tools for data analysis and manipulation.

Experience in developing and deploying data products and applications using cloud platforms, such as AWS, Azure, or Google Cloud.

Working hours: 10am to 6pm (Monday to Friday)

Join Our Team as a Management Trainee!

Are you eager to explore diverse roles within a dynamic organization and fast-track your career growth? As a Trainee, you will gain hands-on experience in multiple functions, from strategic planning to budgeting, sales, and recruitment, all while building valuable skills for the future.

Key Responsibilities:

• Learn and rotate through various key departments, gaining insights into how the organization operates
• Use cutting-edge digital marketing tools and mobile apps to connect with clients and prospects daily
• Build and maintain lasting relationships with clients, offering solutions that drive long-term success
• Take part in meetings, workshops, and events, enhancing your knowledge and network
• Analyze data, compile reports, and present your findings to your team • Engage in fieldwork, evaluating company services to provide actionable insights
• Develop a deep understanding of management viewpoints, policies, and procedures
• Meet personal and team goals outlined at the start of your traineeship
• Shadow experienced professionals to learn best practices and standards within different departments
• Offer support across departments by contributing to tasks like data entry, presentations, strategy development, and client services

Requirements:

• Minimum Diploma and above
• Strong organizational and time management abilities, with the ability to prioritize tasks and meet deadlines

Why Join Us?

• Accelerated career growth with mentorship and hands-on training in various business functions
• Opportunity to work with a diverse and talented team
• Gain practical experience that sets the foundation for a future leadership role

If you are ready to make an impact and grow your career, apply today to become part of our vibrant team!

EA Reg. Number: R21100629

EA License Number: 22C1278

Company’s Profile:

Our client is an international technology and engineering company that specialises in providing innovative digital and security solutions to their esteemed clients. They are well-known for their dedication of quality delivery standards with more than 15,000 engineers globally supporting projects. They have an international presence in over 100 countries worldwide and are looking out for AI Engineers to join their team and contribute to their ongoing success.

Location: Ang Mo Kio/Yio Chu Kang area

Job Responsibilities:

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

Requirements:

• Education qualification in Computer Science, Data Science, Machine Learning or relevant field (Fresh grads or students currently pursuing this area of studies are welcome to apply)
• Work, project or internship experience in designing, developing, and deploying machine learning models in real-world applications will be a strong advantage
• Knowledge of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn)

Interested candidates may whatsapp your resume to 6421 4965. Only shortlisted applicants will be contacted.

Cassie Chan | R2197426

Talentsis Pte Ltd | EA No: 20C0312

As part of our recruiting process, we would like to request all interested applicants to apply directly through TD's Careers Site at:

https://td.wd3.myworkdayjobs.com/en-US/TD_Bank_Careers/job/Manager--Data-Scientist_R_1374551

Job Description:

Provide technical leadership across the Analytics function supporting fraud and financial crimes with an enterprise mandate. Role generally provides deep technical knowledge and expertise in customer interactions and financial crimes (including Fraud and AML) to explain complex data analysis and drive insights in a compelling manner to support a growth mandate and inform strategic change.

KEY ACCOUNTABILITIES

• Provide deep technical leadership and expertise to support and define future direction in one or more specialized areas or lead strategic development efforts on new or emerging data science related projects
• Work closely with business owners to identify opportunities and serve as an ambassador for data science
• Play a lead role on cross functional teams of data scientists, data and IT engineers, and business process owners to build cutting edge analytic solutions
• Design and deliver enterprise analytic solutions to our customers
• Develop powerful business insights from customer behavioural data and signals using advanced machine learning techniques
• Build complex statistical models that learn from and scale to petabytes of data.
• Provide analytical thought leadership and staying current on developments in data exploration and the application of data science
• Provide thought leadership and/or broad industry knowledge across multiple business / functional areas or across the enterprise
• Apply industry / analytical expertise to provide innovative and sound solutions that increase business results and/or minimizes risk
• Identify new analytical trends / data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and create analytical models that help answer impactful business questions
• Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured.
• Employ techniques and theories drawn on many fields within the broad areas of mathematics and statistics
• Be comfortable working through ambiguity and help make informed decisions
• Work in a highly interactive, team-oriented environment with Big Data developers and Visualization experts
• Act as a lead or top technical data scientist and work closely with senior leadership on significant data and analytics projects
• Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest
• Develop creative and innovative data driven analytical solutions to optimize operational efficiencies and leverage synergies to support overall business strategies
• Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services
• Participate in knowledge transfer within the team and other business units, including participation in cross-functional groups or committees (e.g., Data Councils)

BREADTH & DEPTH

• Deliver advanced analytical capabilities above and beyond existing methods
• Exceptionally lead and run analytical projects autonomously and create and effectively deliver analytical presentations for executive audiences/stakeholders
• Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques

EXPERIENCE & EDUCATION

• Undergraduate degree or technical certificate
• 8+ years of relevant experience
• Comfortable and experienced with advanced coding (Python, pyspark preferred)

Role: Data Engineer

Relevant Experience: Minimum 3 Years Experience in Data Engineering

Work Location: Hampshire Road

Benefits:

Attractive Fixed Basic Salary

Performance Bonus

Office Hours Job

Great Learning opportunity

Health Insurance

12 days AL, 14 days MC & 60 days Hospitalization leave

Job Description:

AWS, Snowflake, backend development experience including language like Python, Java, Dot Net, Linux

• Data Processing: Develop and maintain data pipelines using Py-Spark to process large datasets efficiently.
• Data Warehousing: Utilize Snowflake for data storage, transformation, and optimization, ensuring data quality and integrity.
• Workflow Orchestration: Implement and manage data workflows using Apache Airflow to automate ETL processes and scheduling.
• Cloud Environment: knowledge of cloud resources for scalable and secure data maintenance.
• Troubleshooting: Identify and resolve data-related issues promptly to ensure smooth operations.

[Order Number: 824090]

Responsibilities

• Perform accurate and efficient data entry tasks, including inventory, sales records, payment, and shipment details.
• Maintain and organize records of shipments, costs, and delivery schedules.
• Generate periodic reports (i.e. payment & shipping timing) for management.
• Any other ad-hoc duties assigned.

Requirements

• Candidate must have at least 1 years of experience in data entry
• Experience in shipping management or delivery management is an added advantage

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities

Please kindly refer to the Privacy Policy of Good Job Creations for your reference:
https://goodjobcreations.com.sg/en/privacy-policy/

EA Personnel Name: Lim Lai Xin
EA Personnel Reg. no.: R2197913
EA License no.: 07C5771

Associate Scientist (In Vivo Imaging Biomarkers), Biomarkers & Data Analytics, Quantitative Biosciences (2 years contract)

At our company, we are committed to becoming the premier, research-intensive biopharmaceutical company and are dedicated to providing leading innovations and solutions for today and the future.

Our Research Scientists are our Inventors. We identify and target steps in disease mechanisms or pathways that could be inhibited or enhanced. Our goal is to isolate a compound that is effective against a disease target. Using innovative thinking, state-of-the-art facilities and robust scientific methodology we collaborate to discover the next medical breakthrough.

We are seeking an Associate Scientist to join our Biomarkers & Data Analytics team at our research laboratory in Singapore. Our team focuses on synergizing medical and disease biology, imaging & omics technology, bigdata, and data science to discover, develop, and deploy novel biomarkers for diseases with critical unmet needs, and to accelerate the discovery and development of new drugs.

In this role, you will utilize artificial intelligence/machine learning (AI/ML) and image analysis techniques to develop imaging biomarkers using state-of-the-art medical imaging platforms (e.g., OCT, Fundus, MRI).

This position plays a role in transforming extensive preclinical and clinical imaging data, along with biobank data, into valuable insights that advances our drug discovery efforts. Additionally, you will collaborate closely with experienced scientists, learn from industry leaders, and contribute to impactful projects that have the potential to shape the future of medicine.

WHAT YOU WILL DO

Responsibilities include, but are not limited to:

• Execute routine in vivo ophthalmology and neuroscience image analysis to support drug development pipeline operations.
• Optimize, and troubleshoot the analysis of the in vivo medical images and data to support drug discovery, ensuring timely project execution.
• Proactively contribute to the development of novel imaging biomarkers, including the development of AI/ML-enabled software algorithms for image & data analysis.
• Analyze large datasets from biobanks/cohort studies to advance our understanding of human biology and disease processes.
• Contribute to scientific literature and database searches to help the team develop imaging biomarkers, inform drug development strategies, and generate business insights.
• Maintain data integrity and compliance by managing data lifecycle, accurate record keeping, authoring documentation including image analysis workflows, research reports, project meeting minutes and study logs.
• Collaborate with internal teams and external partners across multiple sites to enhance AI-based imaging workflows, actively contributing insights and developing automated solutions for imaging biomarker analysis.
• Participate in team meetings and contribute to discussions on project progress and findings. Attend and potentially present at relevant conferences, demonstrating a commitment to professional growth and knowledge expansion.
• Present findings and insights to the team and stakeholder.

WHAT YOU MUST HAVE

To be successful in this role, you will have:

• Bachelor’s or Master’s Degree in Genetics, Neuroscience, Biomedical Engineering, Data Science, Computer Science, Electrical Engineering, Bioinformatics, Computational Biology, or a related field.
• Previous experience in a research setting, particularly in developing and implementing AI-based imaging analysis pipelines is preferred.
• Hands-on experience in image processing, computer vision, or AI/Machine Learning, using languages like MATLAB, Python, or R; including scikit-learn, pytorch, tensorflow tools.
• Exposure to or at least strong understanding of big data (e.g., UK Biobank), epidemiology, statistical genetics/phenomics or public health is a plus.
• Hands-on experience with data analytics and visualization using MATLAB, Python (seaborn, matplotlib) or R (ggplot2, corrplot).
• Knowledge of imaging modalities used in ophthalmology and neuroscience is an advantage.
• Collaborative mindset and excellent communication skills to successfully partner and work with other team members as well as stakeholders across groups to achieve results.
• Strong organizational skills, attention to detail, and ability to work independently and as part of a team.
• Innovative mindset for experimenting with new ideas and approaches.
• Effective written and oral communication skills.

What You Can Expect:

• Opportunity to work at the interface of multiple disciplines and integrate medical and disease biology, imaging and novel technologies, bigdata/biobanks and AI-ML/data science.
• Collaboration with a team committed to leveraging AI/ML for drug development.
• Opportunities for applying your innovative mindset to experiment with new ideas and approaches.
• A supportive working environment that fosters career growth and continuous learning.

Additional Information:

• Please provide a LinkedIn profile, publications in conferences/journals, or any relevant profiles (Google Scholar, Github, Stack Overflow, Arxiv, and/or Kaggle) if available.

Job Description

· Conduct and analyse market research on commercial-defense products with AI technologies to identify market demand, growth opportunities and competitive threats

· Translate global and regional market intelligence into actionable insights that inform strategic product direction and commercial planning.

· Provide senior leadership with clear, data-driven reports on market trends, customer demands, and emerging technologies that could influence business strategy.

· Ensure compliance for advanced networks, sensors, and AI technologies by managing certification processes and maintaining adherence to industry regulations.

· Develop and optimize pricing strategies for networks, sensors, and AI-based solutions that balance profitability with competitive positioning.

· Lead the development and execution of GTM strategies for advanced networks, sensors, and AI products, targeting both regional and global market penetration.

· Partner with the Product Managers, Marketing and International Business to execute GTM plans that align with customer needs and business objectives.

Requirements

· Bachelor’s degree in Business, Engineering or a related field; advanced degree (MBA or M.S.) or certifications in Digitalisation, AI and Data Science.

· Experience: 5+ years in start-ups or corporate roles in commercial business functions that focused on business model innovation, go-to-market analysis, compliance and commercialisation in the AI, telecommunications and tech sectors.

· Solid understanding of market dynamics and regulatory requirements, with in-depth knowledge of compliance and certification processes relevant to the industry.

· Develop and implement pricing strategies and go-to-market plans.

· Preferred: Proficiency with advanced networks and sensors with AI applications.

· Strong written and verbal communication skills, with experience in delivering markets, business and commercialisation insights and recommendations to senior management.

· Exceptional organizational skills and the ability to manage complex, cross-functional initiatives with multiple stakeholders.

· Leadership: Experience leading teams and fostering collaboration across product, finance, and commercial departments.

· Singaporean only.

· Location: Jurong East / Ang Mo Kio.

Please submit resumes to [email protected]

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Set and advance sustainability targets, balancing financial and environmental goals.
• Implement effective reporting systems; collaborate on performance benchmarks.
• Lead sustainability communications; create educational materials.
• Formalize sustainability practices through documentation and reviews.
• Monitor and report on sustainability metrics; conduct audits.

Requirements

• Experience in a related field preferred.
• Knowledged of BCA Green Mark for Data Centre and Buildings, ISO 14001 Environment Management System, SS564 Green Data Centre etc

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Job Summary

We are seeking a highly skilled and experienced SAP Data Migration Lead. In this critical role, you will be responsible for leading and managing the end-to-end data migration process from SAP ECC to S/4 HANA as part of a bluefield migration project. This role requires a strategic thinker with a solid understanding of SAP modules, data migration methodologies, and risk mitigation strategies.

Mandatory Skill-set

• Bachelor’s degree in Engineering, Computer Science, Information Systems
• Min. 5 years of proven track record of managing SAP data migration, rollouts, and implementation projects;
• Strong familiarity with SAP implementation methodologies and business process reengineering programs;
• Exceptional data strategy creation & project management skills with a history of delivering projects on time and within budget;
• Good understanding of various SAP modules such as FICO, PS, PM, EAM;
• Strong problem-solving and analytical abilities;
• Excellent communication and stakeholder management skills;

Desired Skill-set

• Certifications in PMP, PRINCE2, CBAP, or ITIL;
• Knowledge of plant maintenance best practices.

Responsibilities

• Develop a comprehensive data migration strategy tailored to a bluefield migration project, minimizing risks through detailed data change impact analysis;
• Oversee the entire data migration lifecycle, including Preload and Post-Load validations, ensuring timely and successful execution;
• Manage data extraction, cleansing, transformation, enrichment, validation, and reconciliation during migration;
• Coordinate the migration of data, documents, and content from ECC and other legacy systems to S/4 HANA;
• Conduct a thorough analysis of data changes, assess associated risks, and address challenges to ensure a smooth transition;
• Perform simplification item checks to confirm data consistency and relevancy, coordinating with stakeholders to resolve incomplete data issues;
• Design ETL processes and oversee manual data transformations to SAP-loadable values;
• Ensure data integrity across modules (MM, EAM, FICO, PS) and subsystems within the S/4 HANA environment;
• Implement robust data quality controls, including monitoring and auditing, to maintain long-term data integrity.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Deploy, administer, and support database and data lake infrastructures.
• Formulate and execute plans for high availability, backup, recovery, and disaster preparedness.
• Diagnose and resolve database issues and optimize performance.
• Enforce industry-standard security measures, policies, and best practices.
• Enhance clients' data warehouses and data lakes, and maintain comprehensive documentation.

Requirements

• Proficiency in Database Administration.
• Experience with Linux operating systems and scripting.
• Practical experience with at least one of the following: Hadoop Distributions, Relational Databases, or NoSQL Databases.
• Advantageous knowledge in one or more of the following areas: Data Virtualization tools, Scripting languages, Cloud platforms, and Docker/Kubernetes environments.

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Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Job Purpose

The Finance Data Specialist plays a critical role in the execution of our APLL Finance transformation mandate by actively supporting data-driven business intelligence initiatives. This role will act as a bridge between Finance, business units and IT. It requires close collaboration with cross-functional teams in understanding business requirements and designing and developing the data architecture for BI solutions and visualization. Key deliverables include proactively providing timely, reliable and easy-to-use financial information and valuable and actionable insights to help drive high-impact business changes and strengthen financial performance analytics.

Roles & Responsibilities

Data Governance, Strategy and Collections

• Support the development and execution of Finance data, governance and analytics strategy and roadmap.
• Collaborate with finance and business stakeholders to understand business logic and their analytics needs, identify data metrics and document the requirements.
• Translate business needs into specifications and data requirements. integrate business and financial data to establish a solid foundation for financial analysis or reporting solutions.
• Work closely with business partners and IT to design, define and develop end-to-end data pipelines for BI solutions: build instrumentation and define dimensional models, tables or schemas that support business processes.
• Contribute to the development and maintenance of databases and data pipelines. This ensures data quality and accessibility for analysis.
• Gather data from various sources (databases, APIs, web scraping, etc.), clean it, and transform it into a usable format. This often involves dealing with datasets that have challenges including missing values, lump sum amounts, inconsistencies, and different data types.
• Design, write and support extract, transform, and load (ETL) processes of finance and business operations data from various sources, deliver insightful data findings for business success

Data Analytics and Business Intelligence

• Conduct “deep dive” reviews of financial data to uncover trends and patterns. Deploy different types of advance data analytics to identify anomalies, outliers and leakages in transactions to mitigate risks and optimize profit.
• Align with stakeholders on key metrics, design and propose experimentation strategies to continually raise the bar on our analytical capabilities
• Ensure data accuracy by mining, cleaning, and analyzing large datasets for effective use-case development of BI and dashboard visualization solutions.
• Interpret results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining.
• Develop, optimize financial reporting and enhance data automation to enable reliable self-service reports and streamline financial closing process.
• Use BI tools to create compelling data visualization and dashboards to generate timely, meaningful and actionable insights in driving critical business decision making.
• Predictive Modelling: Building models to forecast future outcomes based on historical data. This can involve machine learning techniques like regression, classification, and clustering.
• Support projects or gathering of additional data for ad-hoc analysis as needed

Qualification

• Bachelor’s degree in Finance, Accounting, Business, Mathematics, Statistics, Economics, Computer Science or any other related discipline or commensurate work experience or demonstrated competence
• Proven experience in financial data analytics, reporting automation, and Power BI tools.

Requirements

• At least 3 – 5 years of financial/business/data analysis experience.
• Experience in audit or logistics industry is a plus.
• Strong understanding of finance principles, datasets and business processes.
• Self-motivated, forward-thinking, resulted orientated and the ability to manage priorities.
• Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity.
• Strong analytical skills, curious, meticulous, innovative and resourceful to resolve issues.
• Good business acumen with the ability to synthesize complex data from different source into meaningful insights and actionable information to stakeholders.
• Vocal and confident to voice constructive challenges to business assumptions.
• Good perspective in achieving results both short and long term and be held accountable.
• Strong communications and interpersonal skills in a multicultural environment with a good command of spoken and written English to influence and motivate.
• Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis
• Experience building/applying statistical and/or machine learning solutions to solve business problems and facilitate interactive data visualization.
• Good understanding of data design pattern differences between transactional ERP systems (e.g. SAP) and analytical data warehouses (e.g. Teradata, Snowflake)
• Proficient in data analysis tools (e.g. Excel, SQL) and BI tools (e.g. Power BI, Microsoft Fabric, Tableau)
• Familiarity with scripting or programming languages (e.g. Python, R) for advanced analytics.

Key Results Area

• Deliver timely and seamless execution of projects that align with organizational objectives and needs, meeting the stipulated scope and budget.
• Excellent business collaboration skills and the ability to communicate effectively with a broad and diverse group of stakeholders to ensure stakeholder needs are met.

• Proficiency in Scala programming and functional programming principles.
  • Strong SQL skills, including query optimization and database design.
  • Hands-on experience with Hadoop ecosystem tools (HDFS, Hive, YARN, MapReduce).
  • Familiarity with other big data tools like Spark, Kafka, or Flink is a plus.
• Problem-Solving:
  • Strong analytical skills with the ability to troubleshoot and resolve complex data issues.
• Communication:
  • Excellent communication skills to effectively collaborate with technical and non-technical stakeholders.
• Experience:
  • 6+ years of experience in data engineering, big data technologies, or a similar role.

Permanent, 5 days, Toa Payoh

Our client:

Data center Cooling Solution Provider

The candidate will be responsible for managing partnerships and channel relationships to drive growth and expand our market presence. This role requires a strategic thinker with excellent communication skills and a proven track record in the Data Center industry.

Job scope

1. External Partnership Management n channel management

· Identify, evaluate, and establish strategic partnerships with key stakeholders in the data centre industry.

· Have win win mindset and proficient with negotiating partnership agreements

· Develop and maintain strong relationships with

· Identify and onboard new channel partners (reseller , distributor)

· To develop n execute channel strategies to maximize market reach and sales performance.

· To engage with channel partners, including training, marketing materials, and joint marketing campaign

· Visit channel partners to offer support, gather feedback, and assess market needs.

Internal

· Work closely with internal teams, including sales, marketing, and product development, to ensure alignment and coordination.

Requirement:

• Bachelor’s degree in sales/marketing / mechanical engineering
• 3 years of experience in business development, partnership, and seller channel management in data centre industry.
• Able to travel as required.
• Experience in asia market an added advantage

please email your resume in microsoft word format to [email protected].

Permanent, 5days, Paya Lebar

Our client

MNC in air conditioning and humidification system solution serving high tech industry

Data center Hvac Service Manager

Job scope
• Lead field service engineer team in data center hvac servicing and maintenance work
• Develop and implement maintenance schedules Hvac.
• Conduct regular site inspections to ensure maintenance quality and safety standards are met.
• Prepare detailed work method statement (wms) for maintenance Project and all mission critical work environment work documentation
• Ensure service team adhere to industry standards and safety regulations.


Requirement

-Diploma in Mechanical Engineering
- 5 years of experience in hvac maintenance, with at least 3 years in a senior engineer or management role.
- Proficient in hands-on experience with chiller, cooling towers, pumps equipment’s, AHUS,MAUs, FCUs,DX
-Strong technical skill and documentation knowledge of data center hvac equipmentmaintainence and troubleshooting

-Proficient in creating clear and comprehensive work method statements, pre work documentation, risk assessment etc

-Bilingual

Added advantage

Data center hvac

pls apply via https://zurl.to/YRDp?source=CareerSite

or

this website

Job Description

• Industry/ Organization Type: Telecommunication Services (Data Center)
• Position Title: Facilities Maintenance Technician
• Working Location: New Tech Park & Techlink
• Working Hours: Rotating 8-hour shifts
• Salary Package: Basic Salary + Shift Allowance ($300) + Variable Bonus + Medical & Flexi Benefits
• Duration: Permanent

Key Responsibilities

• Maintain and service building facilities, including electrical and mechanical systems.
• Perform minor repairs and improvements to buildings and equipment.
• Conduct routine preventive maintenance on building systems and infrastructure.
• Manage and oversee contractors and vendors to ensure cost-effective, quality repairs and maintenance.
• Provide engineering support during weekends, public holidays, or extended hours when necessary.
• To standby 24 hours on duty roster (will provide additional standby allowance).

APPLY NOW!!!

• Minimum ITE Certificate/Diploma in Mechanical/ Electrical Engineering, Facilities Management or related fields.
• With hands-on skill set in mechanical (ACMV) and electrical systems, with proficiency in maintenance, troubleshooting, and repair.
• Prior work in critical environments like Data Centres, Cleanrooms, or Semiconductor plants is an added advantage.
• Effective communication skills and ability to work as part of a team.
• Competent in using Microsoft Excel and Word.
• Good understanding of facility M&E (Mechanical & Electrical) systems.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to [email protected]. Please indicate #64875 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 | Adelin Chong | EA Reg No.: R1875641

We are seeking a talented and experienced Senior Data Engineer (Quantexa)with expertise in Hadoop, Scala, Spark, Elastic, Open Shift Container Platform (OCP) and DevOps practices. Elasticsearch to join our team. As a Data Engineer, you will play a crucial role in designing, developing, and optimizing big data solutions using Apache Spark, Scala, and Elasticsearch. You will collaborate with cross-functional teams to build scalable and efficient data processing pipelines and search applications. Knowledge and experience in the Compliance / AML domain will be a plus. Working experience with Quantexa tool is a must.

Responsibilities:

·        Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives

·        Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions

·        Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data

·        Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data

·        Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch

·        Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch

·        Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

·        Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

·        Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

·        Ensure data quality and integrity throughout the data processing lifecycle

·        Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques

·        Optimize data engineering workflows for containerized deployment and efficient resource utilization

·        Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability

·        Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance

·        Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements

·        Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure

·        Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

1. More than 5 years of experience as a Data Engineer
2. · Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline
3. · Possession of Quantexa certification as a Data Engineer or Data Architect, with proficiency in the tool
4. · Demonstrated experience as a Data Engineer, utilizing Hadoop, Spark, and data processing technologies in large-scale environments
5. · Expertise in the Scala programming language and familiarity with functional programming principles
6. · Prior experience with the Quantexa tool is highly desirable
7. · Comprehensive understanding of Apache Spark architecture, including RDDs, DataFrames, and Spark SQL
8. · Advanced proficiency in designing and developing data infrastructure utilizing Hadoop, Spark, and associated tools (HDFS, Hive, Pig, etc.)
9. · Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration via Kubernetes
10. · Proficiency in programming languages commonly employed in data engineering, including Spark, Python, Scala, or Java
11. · Knowledge of DevOps methodologies, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
12. · Experience with Graphana, Prometheus, and Splunk will be considered an added advantage
13. · Background in integrating and utilizing Elasticsearch for data indexing and search applications
14. · Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization techniques
15. · Experience with distributed computing, parallel processing, and handling large datasets
16. · Proficient in performance tuning and optimization methods for Spark applications and Elasticsearch queries
17. · Strong problem-solving and analytical capabilities with the capacity to debug and resolve intricate issues
18. · Familiarity with version control systems (e.g., Git) and collaborative development environments

Senior Legal Counsel (Tech, Gaming)

We are currently engaged by my client, who is a leader in mobile gaming that has captivated more than 20 million of players worldwide.

What you’ll be doing:

• Reviewing, drafting and negotiation of contracts related to the company’s business
• Providing support and legal advice in relation to corporate matters
• Liaising with external counsels and advisors
• Contract review and Management
• Participation in various projects with the Compliance, Commercial and Finance teams
• Providing legal advice on matters relating to intellectual property rights, data protection, general commercial and contract law matters and dispute resolution
• Conducting legal research and preparing memoranda or legal analysis for internal stakeholders
• Providing day-to-day legal support to the Management and other teams in the company, such as Marketing, Product and Tech teams
• This role will report directly to the CEO for all legal matters across SEA region

What you’ll bring to the role:

• At least 7 years PQE (qualified in Singapore, US, UK or other comparable common law jurisdiction)
• Legal and regulatory compliance experience in-house or in law firms
• Prior regional experience working on related matters in the technology field will be a plus
• Keen interest and good understanding of developments in the internet, technology-related space
• Excellent problem-solving, analytical and organizational skills
• Proactive approach and ability to handle matters independently

Regret to inform that only shortlisted candidates will be notified.

www.dadaconsultants.com

EA Registration Number: R1878287

Business Registration Number: 201735941W.

Licence Number: 18S9037