Total 3,998 data entry clerk job vacancies in Information Technology category in Singapore

Job Description / Requirements

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.

• Minimum 5 years of experience in data engineering, with expertise in AWS services, Databricks,

and/or Informatica IDMC.

• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.

• Evaluate potential technical solutions and make recommendations to resolve data issues especially

on performance assessment for complex data transformations and long running data processes.

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with data modeling and schema design.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics -

Specialty), Databricks certifications, and Informatica certifications are a plus.

Preferred Skills:

• Experience with big data technologies like Apache Spark and Hadoop on Databricks.

• Knowledge of containerization and orchestration tools like Docker and Kubernetes.

• Familiarity with data visualization tools like Tableau or Power BI.

• Understanding of DevOps principles for managing and deploying data pipelines.

• Experience with version control systems (e.g., Git) and CI/CD pipelines.

• Knowledge of data governance and data cataloguing tools, especially Informatica IDMC

About the Client

Leading MNC client

Responsibilities

· Experience in large scale implementations and performance optimizations in the Big Data Ecosystem using Spark, Hive, Impala, Apache Kudu, Ozone, Presto, Tez, Iceberg etc

· Knowledge of frameworks such as Spring, Struts, Hibernate etc

Skills/Requirement

· Data Engineer with Cloudera Big Data platform and need someone familiar with Hadoop, Spark, Hive and Linux.

· Minimum 6-7 years of experience in Data Engineer.

· We use Denodo for data virtualization and tools like Tableau and Business objects for visualization.

· Must know your way around MSSQL or Oracle databases.

Interested candidates, who wish to apply for the above position, please send in your resume to [email protected]

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

PERSOLKELLY Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R23118975 (ABDUL RAHMAN ANSARI RAJA)

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All parties involved in any form of workforce engagement are to strictly adhere to prevailing regulations and laws that govern local fair employment practices, and to invest reasonable efforts in building a strong Singaporean core workforce, recruit and select candidates based on merit and prohibit discrimination based on age, race, gender, religion, marital status and family responsibility or disability. For more information, please refer to MOM and TAFEP websites.

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Responsibilities:

• Proactively generate new business opportunities and manage sales for data center-related project works, including Fit-Out and A&A Works.
• Identify and cultivate new business leads to meet or exceed sales targets, understanding market trends and customer requirements.
• Lead and mentor sales team members to enhance sales performance and revenue generation.
• Travel as needed to engage with clients, planning and executing strategic sales plans to convert prospects into customers.
• Manage the entire sales cycle, from initial contact and proposal preparation to contract fulfilment, ensuring timely and effective closing of sales.
• Collaborate closely with technical teams to ensure accurate project specifications and delivery in line with sales agreements.
• Monitor and report on sales activities and project progress to senior management, aiming for continuous performance improvement.
• Maintain regular communication with clients, providing updates and ensuring customer satisfaction throughout the project lifecycle.

Requirements:

• A degree or diploma in Building Services, Mechanical, Electrical Engineering, or a related field, with at least 2 years of sales experience in an M&E or IT environment.
• Demonstrated project management experience, particularly in live data center environments, with a strong understanding of M&E systems and proficiency in AutoCAD.
• Exceptional communication skills, capable of leading project teams and interacting effectively with both internal teams and external clients.
• Commitment to ensuring project timelines are met, with the ability to produce detailed project reports and conduct regular update meetings with clients.
• Experience with IST procedures is preferred, along with a resourceful, problem-solving approach and a commitment to achieving sales and project goals.

Tyson Jay Recruitment Pte Ltd | EA License No.: 16C7954

Ivan Lim | EA Personnel No.: R1109856

• Perform daily data entry duties and depot operations activities.

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

• Raise estimates of repair of containers for clients.

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

• Other ad-hoc duties as assigned by superior.

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.

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.

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

Actxa is hiring for Lead Data Scientist

Internal Code: AX24002

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.

Team Leadership:

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

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.

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.

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.

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.

Ethical Data Practices:

• Ensure compliance with data privacy regulations and ethical data handling practices.
• Maintain the security and confidentiality of sensitive data in clinical research studies.

Project Management:

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

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.

Requirements

• Ph.D in a relevant field such as Computer Science, Data Science, Statistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, or related discipline.
• Several years of experience in artificial intelligence, data analysis, statistical modeling, and machine learning with strong programming skills in languages such as Python, R, SQL and C/C++
• Excellent communication and leadership skills.
• Ability to think critically and solve complex problems.
• Deep interest or knowledge in wearable technologies, preventive health, wellness, fitness, mental health, chronic disease prevention & management, population health, etc.
• Experience with clinical trial design, execution, and analysis.
• Previous leadership or supervisory experience, especially in leading teams of data scientists and researchers.
• Proven track record of successful project management and delivery of data-driven insights and solutions.

What do we offer?

• Fun working environment
• Flexi benefits
• 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.

Apply for this job

Roles & Responsibilities

• Microservices dev with Java and spring boot; Kafka; MongoDB and MariaDB
• Operations on PCF, OCP, VPC, Jenkins, AWS
• Data engineering with Spark and Python
• Release management
• Excellent tech and business stakeholder management

Requirements

• 7 to 10 years experiences
• Microservices dev with Java and spring boot; Kafka; MongoDB and MariaDB
• Operations on PCF, OCP, VPC, Jenkins, AWS
• Data engineering with Spark and Python
• Release management
• Excellent tech and business stakeholder management

1. Possess good knowledge of data centre operation tasks and duties.

2. Liaise with DC/Building landlord to ensure optimal operation of electricity, HVAC and monitoring environments within Mission Critical IT facilities in Data Centre and remote buildings.

3. Strong ability to support activities in data centre and computer rooms

4. Ensure data centre physical security procedures are followed strictly.

5. Prompt escalation of incidents following the standard incident response procedure & track till closure

6. To generate reports to management

Requirements

1. Minimum 5 years Data Centre facility experience preferable in a team.

2. Experience working in a high-pressured environment with 24x7 on-call responsibilities

3. Strong understanding of incident, problem and change management procedures based on ITIL best practices

4. Experienced in supporting Data Centre vendors, out-sourcing vendors.

5. Ability to multi-task and proficient in Microsoft Office applications; Excel & PowerPoint

6. Good written and verbal communication skills

7. Highly motivated and self-driven

8. An analytical and inquiring mind to derive innovative solutions.

9. Ability to work independently and in a team

10. Must have experience working in data centre operations in financial institutions.

11. Familiarity with equipment requirements in Data Centre such as storage, servers and networking equipment such as routers, switches is a plus.

12. Familiar with Structured Cabling system and its related components.

Key Responsibilities

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

· Working with the latest tools and techniques

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

· Working in highly collaborative teams and building quality code

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

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

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

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

implementation of Risk and Finance models

Essential Skills & Prerequisites

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

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

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

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

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

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

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming.

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

· Knowledge of Java and Scala will be added advantage

Desired

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

· Additional experience on developing service-based application

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

documentation

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

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

picture outlook

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

· Must be a team player

Mandatory Skills

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

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

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

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

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming

The Data and Analytics team is looking for Data Governance analysts with 3 to 5 years’ experience working in the field of Data Governance. They will be part of a team responsible for developing and implementing policies and procedures to ensure the accuracy, security, and integrity of Income’s data. They will work closely with stakeholders across the organization, including IT, legal, compliance, and business teams, to help establish data standards and controls.

Key Responsibilities:

• Work with data stewards to ensure capture key business terms and definitions
• Work with data stewards to define and implement data quality rules
• Work with technical stewards to capture the logical data model as well as physical metadata
• Work with data scientists to ensure statistical models built meet ethical AI and FEAT standards
• Support business data partners and functional analysts in performing data analysis and root cause analysis
• Monitor and report on data governance artefacts and data quality issues

Requirements:

• 3 to 5 years’ experience in data governance or data quality related roles
• A bachelor’s degree in computer science, information technology or equivalent field
• Proficient in SQL and in performing data analysis
• Good communication skills, both written and verbal
• Critical thinking and strong problem-solving ability
• Experience with data analysis or data governance tools such as Informatica IDMC, Collibra desired
• Experience with Data Warehouses such as Redshift/ BigQuery/ Snowflake/ Hive / S3 desired

Income Insurance is undergoing a strategic transformation across its business and technology landscape. As part of this ambitions journey, Income Insurance is looking at building its data capability across the organisation. This includes focus areas such as changing organisation culture around data, increasing the usage of data in decision making and enabling advanced concepts like ecosystem partnering, AI and ML based risk management and personalisation.

Over the years, Income Insurance has built a strong Data and Analytics team. We are now looking for passionate professionals who would like to be part of the team. They will work with experienced data scientists, data engineers, Business Intelligence experts as well as data stewards from business units across the company on data governance processes which will deliver value to Income Insurance's business.

We are looking for intellectually curious, highly motivated and customer-focused individuals to build Advanced Analytics and Data Science capabilities within the Regional IT Center of Competence (CoC) for Data Analytics team.

The incumbent will be responsible for the following:

• Own end-to-end development and execution of Data Science and ML/AI models/solution using Azure cloud platform
• Work closely with Data Science (Business), Engineering and Design teams to define and build Data Science and AI/ML products that help organization drive data-driven decisions
• Act as the Data Engineering and Data Quality expert for Data Science use cases
• Work with Data Engineering team and Architects to define Data Science and ML/AI technology landscape
• Handle multiple agencies to drive the Data Science products to success
• Work with Headquarter (HQ) and various markets on the implementation of Data Science and AI/ML product across different geographies
• Balance priorities and tech debt to create effective sprints that move the needle for the business
• Support in implementation of Data Governance Model

QUALIFICATIONS

• Bachelor Degree in Engineering or significant course work in other computer-related fields of study
• More than 5 years or more total experiences in Software Engineering, Data Engineering, Data Quality Management and Project Management
• Certified in Project Management Professional
• Strong knowledge on SQL, Oracle PL/SQL, MSSQL, ETL/ELT, Unix Shell Scripting
• Good communication skills to interact with stakeholders
• Drive to learn new things and take ownership of all deliverables

This position is based in location Singapore. A valid and approved work visa is required for employment in Singapore in accordance to local labour law regulations. We regret to inform you that only shortlisted candidates will be notified.

Roles & Responsibilities

• Microservices dev with Java and spring boot; Kafka; MongoDB and MariaDB
• Operations on PCF, OCP, VPC, Jenkins, AWS
• Data engineering with Spark and Python
• Release management
• Excellent tech and business stakeholder management

Requirements

• 7 to 10 years experiences
• Microservices dev with Java and spring boot; Kafka; MongoDB and MariaDB
• Operations on PCF, OCP, VPC, Jenkins, AWS
• Data engineering with Spark and Python
• Release management
• Excellent tech and business stakeholder management

The Opportunity

• Adecco is partnering with one of the most well-established and respected financial institution with a strong track record of success.
• They have a culture of innovation and continuous improvement, constantly looking for ways to improve their services and offerings.

Job Responsibilities

You report to Data Analytics team head of DEC. You will:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Maintain existing BI solutions / ETL pipelines and propose continuous improvements
• Communicate and collaborate with architects, stakeholders, business analysts, and project managers to gather requirements and define technical solution
• Ability to design appropriate solution in compliant to CACIB standards
• Develops detailed technical work plans, estimates, improvement plans and status reports
• Perform regular peer-reviews, maintain low technical debts, assess & up-skill junior staffs
• Ensure the respect of CACIB code of conduct and compliance rules within the team
• Contribute to initiatives managed at department level (continuous improvement, innovation…)

Job Qualification

In a challenging and multicultural environment, we seek a motivated and skilled Data Engineer to join our Data Analytics team. The team is responsible of a portfolio of solutions for various business lines of the bank (Risk, Finance, Compliance, Trade Finance etc.). We deliver solutions primarily based on Microsoft Business Intelligence stack with a focus on performance and reliability. We are evolving and adopting new data technology as per the bank data strategy.

This position requires a candidate with

• at least a bachelor degree in computer studies
• minimum 6 years of experience in Data Engineering role with financing industry, ideally in a banking environment
• at least 3 years of development experience with using Microsoft Business Intelligence stack coveringTabular Analysis Service
  Data warehousing
  Performance tuning
  Data transformations and quality checks
  Power BI dashboarding and reporting
  
• good exposure and usage experience in CI/CD tools / processes preferably Azure DevOps
• ability to design and present technical solutions to architects and to team
• proactive and problem solving attitude with ability to anticipate risks
• strong communication (written and verbal) and organisational skills

Preferred (additional skills preferred, but not mandatory)

• Exposure to data science technologies or other competitive data processing tools like Python, Spark, etc.
• Experience on test driven development
• Experience with Data Visualisation tools

Next Step

Click “apply” or send resume to: Tamanna Bilandi [email protected]

EA Licence No.91C2918 | Personnel Registration No. R2096241

Roles & Responsibilities

• Microservices dev with Java and spring boot; Kafka; MongoDB and MariaDB
• Operations on PCF, OCP, VPC, Jenkins, AWS
• Data engineering with Spark and Python
• Release management
• Excellent tech and business stakeholder management

Requirements

• 7 to 10 years experiences
• Microservices dev with Java and spring boot; Kafka; MongoDB and MariaDB
• Operations on PCF, OCP, VPC, Jenkins, AWS
• Data engineering with Spark and Python
• Release management
• Excellent tech and business stakeholder management

Roles & Responsibilities

• Microservices dev with Java and spring boot; Kafka; MongoDB and MariaDB
• Operations on PCF, OCP, VPC, Jenkins, AWS
• Data engineering with Spark and Python
• Release management
• Excellent tech and business stakeholder management

Requirements

• 7 to 10 years experiences
• Microservices dev with Java and spring boot; Kafka; MongoDB and MariaDB
• Operations on PCF, OCP, VPC, Jenkins, AWS
• Data engineering with Spark and Python
• Release management
• Excellent tech and business stakeholder management

About the role: We are seeking a talented and dedicated EPIC Systems Data Analyst to join our Global Transformation Company. As a Data Analyst, you will play a crucial role in analysing, interpreting, and presenting data to drive strategic decision-making within our client’s organization. You will be responsible for collecting and analysing large datasets, identifying trends, and generating insights that will enhance the overall efficiency and effectiveness of our hospital and health care operations. This position offers a unique opportunity to work on impactful projects that directly contribute to improving patient outcomes and healthcare outcomes.

Responsibilities:

• Collect and analyse large datasets from various sources, ensuring data accuracy and reliability.
• Develop and implement data collection systems and strategies to optimize the quality and efficiency of data analysis.
• Identify and interpret trends or patterns in complex data sets and present findings in a clear and concise manner.
• Collaborate with cross-functional teams and stakeholders to define data analysis requirements and deliver actionable insights.
• Create and maintain comprehensive documentation of data analysis processes, methodologies, and results.
• Develop and maintain customized reports and dashboards to track key performance indicators (KPIs) and key metrics.
• Identify opportunities for process improvement and data-driven decision-making within the organization.

Qualifications & Experience:

• Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Analyst in the healthcare industry.
• Strong proficiency in SQL and Excel for data extraction and analysis.
• Experience with statistical analysis tools and techniques (e.g., SPSS, SAS, R) is highly desirable.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and data modelling concepts.
• EPIC systems certification
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong communication and presentation skills, with the ability to translate complex data into easily understandable insights.
• Ability to work independently and in a team environment, managing multiple priorities and meeting deadlines.

Skills:

• Outstanding interpersonal and communication skills.
• Strong planning, organization, and time management skills.
• Proficiency in Clinical Information Systems design, build, and implementation.
• Deep understanding of clinical data validation, reporting, and analysis.
• Demonstrable success in stakeholder interactions, delivering aligned solutions.
• Familiarity with clinical environments and terminology.
• Strong values of integrity, commitment, and self-improvement.
• A methodical, thorough yet flexible approach.
• Process-driven mindset.

About the role: We are seeking an experienced Epic Systems Data Migration Specialist to join our team in our Global Transformation Company. As a Data Migration Specialist, you will be responsible for overseeing the migration of data from legacy systems to the Epic Systems platform. This role is crucial in ensuring accurate and seamless transfer of patient data to enhance the quality of care provided by our client’s organization.

Responsibilities:

• Analyse data from legacy systems and develop mapping strategies to ensure smooth migration.
• Collaborate with stakeholders to understand business requirements and design the data migration plan.
• Develop and implement data extraction, transformation, and loading processes to transfer data into the Epic Systems platform.
• Conduct thorough testing of the migrated data to ensure accuracy and integrity.
• Identify and resolve any data-related issues during the migration process.
• Provide training and support to end-users on the use of the Epic Systems platform.
• Collaborate with cross-functional teams to ensure data migration aligns with organizational objectives.

Qualifications & Experience:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Strong experience in data migration projects, particularly within a Hospital & Health Care setting.
• Proficiency in working with Epic Systems software, including Epic Caché, Chronicles, and Caboodle.
• In-depth understanding of data mapping and transformation methodologies.
• Excellent analytical and problem-solving skills.
• Solid knowledge of SQL and database concepts.
• Familiarity with healthcare terminology and regulations.
• Strong communication and interpersonal skills to effectively collaborate with stakeholders and end-users.

Skills:

• Outstanding interpersonal and communication skills.
• Strong planning, organization, and time management skills.
• Proficiency in Clinical Information Systems
• Deep understanding of clinical data validation, reporting, and analysis.
• Demonstrable success in stakeholder interactions, delivering aligned solutions.
• Familiarity with clinical environments and terminology.
• Strong values of integrity, commitment, and self-improvement.
• A methodical, thorough yet flexible approach.
• Process-driven mindset.

• Impactful Contributions: Your work will directly influence key business outcomes, providing a tangible impact
• Innovative Environment: Engage in cutting-edge projects that push the boundaries of data science, offering continuous opportunities for innovation and learning.
• Career Development: Benefit from a commitment to professional growth, with a supportive environment for learning and collaboration with top industry experts.

Responsibilities:

• Develop and refine machine learning models and simulations to inform and improve business decisions and operational efficiencies.
• Establish robust pipelines for the training, validation, and deployment of models across various platforms, ensuring scalability and reliability.
• Design and analyze product experiments using statistical methods to extract meaningful insights that drive product direction and strategy.
• Perform comprehensive data analyses and visualizations to uncover trends, patterns, and insights, answering key business questions.
• Foster a culture of technical excellence through active participation in code reviews, architectural discussions, and continuous learning.
• Translate complex business challenges into analytical frameworks, collaborating with stakeholders to ensure solutions meet their needs.
• Continually monitor and optimize model performance, adapting to new data and evolving business objectives.
• Advocate for a data-driven culture within the organization, effectively communicating findings and insights across diverse audiences.

Requirements:

• A minimum of 2 years of experience as a Data Scientist or an advanced degree (Masters or PhD) in Computer Science, Statistics, Mathematics, or related fields.
• Strong foundation in data science principles, including statistical analysis, modeling, simulation, and optimization, with practical machine learning application experience.
• Proficiency in Python or R, SQL (with a preference for PostgreSQL), and adherence to best practices in software development, such as version control and unit testing.
• Proven track record of applying data science methodologies from concept to production, encompassing data cleaning, feature engineering, model training, and inference.
• Desirable: Experience with geospatial analysis, real-time data processing, and familiarity with industries focused on consumer mobility or dynamic service platforms.
• Additional skills in AWS data analytics services, FastAPI, Flask, Spark, or model deployment are advantageous.

Tyson Jay Recruitment Pte Ltd | EA License No.: 16C7954

Ivan Lim | EA Personnel No.: R1109856

The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity.

At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions.

GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do.

Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today!

Learn more about GovTech at tech.gov.sg

About us – National Digital Identity (NDI)

Imagine citizens having a common and secure digital identity that will make their lives so much easier, and open doors to a plethora of services for them - allowing citizens to do everything from accessing health prescriptions, completing government transactions to starting a bank account through their smartphone.

The Singpass team builds Singapore’s digital identity system. This includes various personal authentication protocols, data sharing tools, and corporate identity systems through Corppass. The mission of the Anti-Fraud team is to minimize the number of compromised Singpass accounts, and the damage done with them. This includes live monitoring for suspicious login behaviour, longer term fraud analytics, and collaborating with partners take action on compromised accounts.

What you will be working on:

• Work with partners to understand the evolving problems and strategize about what data and techniques would be needed to solve them.
• Lead discussions with business stakeholders to establish business requirements, evaluate technical feasibility and data availability required.
• Work with large, complex datasets and applying advanced analytical methods to build machine learning models and deploy the most appropriate solution.
• Build and develop machine learning-based models e.g. recommendation engine(s), predictive models and track their effectiveness.
• Apply the use of machine learning techniques (e.g. deep learning, neural networks, etc..) to improve the current analytics capability.
• Provide inputs to the design and development of an integrated data model to allow analysis across multiple structured and unstructured datasets.
• Build and operate production systems together with engineers to serve these solutions.
• Share your expertise and mentor other data scientists.

What we are looking for:

• Possess strong analytical, conceptualisation, and problem-solving skills. Able to take broad, strategic perspectives, and when necessary, drill deep to understand business needs and challenges.
• Familiar with machine learning models for forecasting, classification, and recommendations.
• Strong in statistical programming tools (e.g. R, Python) and database languages (e.g. SQL)
• Experience in leading a data science team.
• Have excellent oral and written communication skills, along with the ability to pitch ideas and influence stakeholders at all levels on the adoption of analytics.
• Able to present technical concepts and results of technical analyses to non-technical audience effectively.
• Adaptable to dynamic operating contexts and able to work with multiple stakeholders across different teams.
• Strong people manager who can inspire, motivate, and grow the team and has strong organisation skills.
• Have passion for improving public service using analytics and data.

We are an equal opportunity employer and value diversity at our company as we believe that diversity is meaningful to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. This includes generous leave benefits to meet your work-life needs. We trust that you will get the job done wherever you are, and whatever works best for you – so work from home or take a break to exercise if you need to*.

We also believe it’s important for you to keep honing your craft in the constantly-evolving tech landscape, so we provide and support a plethora of in-house and external learning and development opportunities all year round.

*Subject to the nature of your job role that might require you to be onsite during fixed hours

• To upload F&B merchants menus and photos unto portal.
• Transfer data from paper formats into computer files or database systems
• Type in data provided directly from customers
• Verify data by comparing it to source documents
• Update existing data
• Retrieve data from the database or electronic files as requested
• Perform regular backups to ensure data preservation
• Sort and organise paperwork after entering data to ensure it is not lost
• Verifies entered customer and account data by reviewing, correcting, deleting, or reentering data.
• Combines data from both systems when account information is incomplete.
• Purges files to eliminate duplication of data

Key Responsibilities

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

· Working with the latest tools and techniques

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

· Working in highly collaborative teams and building quality code

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

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

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

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

implementation of Risk and Finance models

Essential Skills & Prerequisites

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

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

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

· Development and implementationexperience of applications for 4-6 years.

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

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

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming.

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

· Knowledge of Java and Scala will be added advantage

Desired

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

· Additional experience on developing service-based application

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

documentation

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

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

picture outlook

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

· Must be a team player

Mandatory Skills

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

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

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

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

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming

Job Responsibilities:

• Responsible for data analysis and generate reports for estate sub-system performance.
• Develop data set processes.
• Develop analytics programs, machine learning algorithms, and use statistical methods to make raw data useful for smart estate application.
• Extracting data from existing Building Management Systems using BACnet and Modbus protocol.
• Design ETL pipelines to transform raw data into a format suitable for analysis.
• Maintain and improve data aggregation and ingestion through .NET and Python.
• Identify ways to improve data reliability, efficiency and quality.
• Monitor compliance to project requirement, performance standards and specifications.
• Perform overall quality control of the work and report regularly on project status.
• Cooperate and communicate effectively with product development and operation team for implementation.

Job Requirements

• Bachelor’s Degree or equivalent in Electrical/Electronic Engineering or Computing Engineering, Information Technology or related field.
• Minimum 1 year of work experience in data engineering for a diverse range of projects
• Strong in Python, MSSQL and PostgreSQL programming.
• Solid data science knowledge, good data management knowledge.
• Knowledge in BMS communication protocols (BACnet and Modbus) is preferred.
• Knowledge in Data Management, ETL is preferred.
• Strong logical and analytic skills.
• Able to work comfortably and independently in a fast-paced environment.

Title: Data Engineer ( OBIEE )

JD:

As a Solution Architect, you will play a pivotal role in architecting and implementing cutting-edge cloud solutions, with a focus on Informatica Cloud (IDMC) and AWS.

Responsibilities:

Lead the design and architecture of cloud solutions, with a focus on Informatica Cloud (IDMC) and AWS.

Collaborate with stakeholders to understand business requirements and translate them into technical solutions.

Extensive hands-on experience with Informatica Cloud (IDMC) and AWS services (e.g., EC2, S3, RDS, Lambda, etc.).

Strong understanding of data integration, ETL processes, and data warehousing concepts.

Proficiency in data visualization tools such as OBIEE and Tableau.

For a quick discussion about the role please contact at +65 92333815 or at [email protected]

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

Recruitment Manager

Hand Phone: +65 92333815

Helius Technologies Pte Ltd (EA Licence No: 11C3373)

Your role

Are you curious about how financial instruments, benchmarks and indices are used within the Asset Management lifecycle? Are you organized and have an eye for detail? Are you motivated by analytical challenges? We’re looking for someone who can:

• Respond to internal requests to clarify, verify, reconcile, and control security, index, benchmark, and performance data ensuring completeness, accuracy, and timeliness.
• Control, analyze, calculate, and maintain systems/databases to ensure the accuracy and integrity of static and time series data across applications.
• Collaborate with IT to resolve data quality issues, fix problems, and enhance IT capabilities.
• Follow, document, and review standard operating procedures, to ensure its fit for purpose.
• Create and maintain workflows, reports and dashboards in Excel, Alteryx, Flowable, PowerBI
• Identify and help implement improvements to our processes and tools.

Your team

You will be working in the Data Operations team within Asset Management Chief Data Office. You will be supporting the more technical day-to-day processes carried out by the Data Operations team, with the aim to provide timely, accurate and complete security reference, pricing, benchmark, index, and analytics data to the UBS Asset Management Division – in line with defined requirements.

Team provides 24*6 coverage to ensure uninterrupted support and assistance to the Asset Management Division. Team members are in Chicago, Zurich, Krakow, Singapore, and Pune.

Your expertise

You have:

• A university degree, ideally in – Information Technology / Business Mgmt. / Finance
• Minimum of 2 years’ experience in a financial institution or similar organization
• Knowledge of asset classes, financial instruments, benchmarks, indices
• Working knowledge of / familiarity with UBS AM application landscape – Panacea, DD Pipe, Performance Workbench, AMDH, BComp, IDL, SCD, Sentinel, Pop, Yoda, AMDF, etc.
• Proficiency in data manipulation and analysis tools (SQL, VBA, Informatica ETL, Unix)
• Solid experience in reconciliation, root cause analysis and complex troubleshooting - ability to organize, cleanse, and analyze big data to understand relationships, inconsistencies, and unknowns.
• Excellent communication skills in English, both verbal and written.

You are:

• A service-oriented, team player with strong analytical and problem-solving skills.
• A self-starter with the ability to work with minimal supervision as part of a team.
• Inquisitive, accountable, and able to effectively manage and challenge stakeholders’ expectations.
• Able to challenge the status quo and suggest viable and actionable alternative approaches.

Responsibilities:

· Administration support for CRM onboarding at the company

· Data collection and migration to the CRM system

· Learning the CRM Monday.com and creating SOP with Head of Sales

· Use company ERP to gather information

· Coordinate new product development requests for the sales team

· Take care and support the sales administration, including stock availability checks, sale orders, invoices, DOs, etc.

· Assist sales teams to follow-up on customer payment matters

· Other general administrative duties

Requirements:

· GCE ‘O’ level , Nitec or any related discipline

· At least 1 – 2 years of admin and sales support working experience

· Previous experience with Monday.com or similar CRM systems a plus point

· Positive attitude with customer service working experience

· Able to start work immediate basis

Location and Salary : Bukit Merah MRT / $2,500 + staff benefit

JOB ID : QV7X499R

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

Please 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 St, #08-09, PLUS Building Singapore 049705

DID: 6950 9725
http://www.peopleprofilers.com

Georgez Josiah LIM

License Number: 02C4944
Registration Number : R1108994

Please be informed that the personal data you provided by way of your job application to People Profilers will be collected, used and disclosed by or on behalf of People Profilers to determine or investigate your suitability, eligibility or qualifications for employment with People Profilers and/or its’ Clients and manage your application for employment with People Profilers and/or its’ clients, including identifying you as a potential candidate for future suitable positions and/or notifying you of any such positions, either existing or in the future.

Data Analytics Intern

About Ampol Trading & Shipping

Our purpose at Ampol is to power better journeys today and tomorrow. Our Trading and Shipping team is key to achieving this, not only supplying our customer’s needs today, but evolving as the energy transition takes place to supply our customers well into the future.

We take pride in our people and value innovation, sustainability, and customer satisfaction. If you’re a professional committed to excellence, Ampol is looking for you.

About the role

The Analytics Intern will support the Commercial Analysis team in the delivery of the Data Analytics Project. The intern will also have the opportunity to gain and apply knowledge of fundamental analysis in oil trading,

As part of the Data Analytics project, the analysis team has completed the ingestion of data sources into the Snowflake datalake. The Analytics Intern will have the opportunity to collaborate with the commercial analysts, developers, data scientists and data engineers to migrate and automate BAU processes from excel to Snowflake/Dataiku, build out machine learning/analytical models and visualization dashboards.

The Analytics Intern will also assist the Commercial Analysts with the production of regular reports, data collection, data cleaning and ad-hoc analysis involving any form of market intelligence and data.

Key responsibilities

• Migration of data sources from excel to snowflake. This involves rebuilding excel spreadsheets with updated queries and building new models and flows in dataiku. The intern will also have the opportunity to work with data scientists and commercial analysts on machine-learning/forecasting models for supply-demand balances.

• Collaborate with commercial analysts and data engineers on coding and data modelling requirements to reconcile refinery outage and ship tracking data from multiple sources (identify duplicates/conflicts and resolve conflicts).

• Utilization of data visualisation tools (e.g. PowerBI) to build out insights from snowflake datalake.

• Research and develop quantitative models and algorithms.

• Produce regular reports on country statistics, ship tracking, vessel tonnage, refinery outages, price charts and support the publication of the weekly market outlook report. In the process of migration, it may involve continuing some BAU excel processes.

• Collaborate with analysts and traders in any relevant analysis involving any form of market intelligence and data.

Skills & experience

• Experience in automation and process improvement is desirable

• Keen interest in understanding the dynamics of oil trading and refining

• Sound knowledge of visualisation tools (e.g PowerBI) will be an advantage

• Ability to code in Python / SQL

• Ability to code in VBA / R will be an advantage

• Knowledge of Dataiku and Snowflake will be an advantage

• Self-starter with a drive for results and able to work independently

• Excellent communication skills with an ability to engage stakeholders

Want to take your career to the next level? Apply today. 

Please send your resume via email to [email protected]