Overall Role Purpose:

• Working within the Group Data Science, you will leverage huge volumes of Structured and Unstructured data to solve real business problems across the OCBC Group.
• You will work closely with business to understand their problem statements and transform them into ML and AI challenges when needed.
• You will work on a variety of problem from traditional AI and Machine learning to Generative AI problem when needed.

Responsibilities:

• Work with business leaders across OCBC Group to identify opportunities for leveraging big data and Data Science to drive value for our customers and business.
• Develop and maintain machine learning/deep learning models to achieve the desire business outcomes – such as State of the Art Reinforcement learning system or RAG.
• Develop and maintain models in production. Set up controls and monitoring for the models.
• Use MLOps processes and tools to monitor and refine Production model performance and accuracy.

Specific Knowledge:

• 2 years+ of experience manipulating data sets and building statistical models, ideally with a Master’s or PhD in Statistics, Mathematics, Computer Science or other quantitative field.
• Strong programming experience, with solid understanding of software engineering design patterns and best practices.
• Experience with big data technologies such as Hadoop, Trino, and Spark.
• Some experience in the use of CI/CD and DevOps tools such as Jira, Jenkins, GIT/Bitbucket.
• You have a passion for AI and ML, and you want to learn more everyday

Communication & Soft Skills:

• Ability to execute in a fast-paced environment.
• Creativity to see possibilities within the data & translate into compelling stories, decisions, and actions for non-technical business users.
• Strong communication skills and drive to deliver business benefits in the real-world.
• Genuine drive to learn and master new technologies and techniques.

Responsibilities include, but not limited to:

• Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
• Interact with product and service teams to identify questions and issues for data analysis and experiments.
• Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
• Identify meaningful insights from large data and metadata sources.
• Interpret and communicate insights and findings from analysis and experiments to product, service, and business managers.

Minimum Qualifications:

• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing.
• Experience in statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning.
• Exposure to the semiconductor industry is a plus but not a requirement.
• Strong verbal and written communication skills.

Minimum Experience & Skills:

• Ability to extract data from different databases via SQL and other query languages and apply data cleansing, outlier identification, and missing data techniques.
• Strong software development skills.
• Experience with or desire to learn:Machine learning and other advanced analytical methods.
  Fluency in Python and/or R.
  pySpark and/or SparkR and/or SparklyR.
  Hadoop (Hive, Spark, HBase).
  Teradata and/or other SQL databases.
  TensorFlow, and/or other statistical software including scripting capability for automating analyses.
  SSIS, ETL.
  JavaScript, AngularJS 2.0, Tableau.
  
• Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions is a plus.
• Experience working with Manufacturing Execution Systems (MES) is a plus.
• Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are a plus, but this is not a research position.

• Min 3 years of experience.
• At least 5 years of data-related working experience, with at least 3 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

The Role

The Data Engineer will be part of the data engineering team. He/she will design and develop high quality data products - data warehouse, data marts, data lake and data hubs; either on cloud or on-premises system environments.

Job Responsibilities

· Build and support data pipelines and all associated Software Engineering infrastructure tasks.

· Liaise with clients, technical architects, data architects, data scientists and BI analysts to gather requirements.

· Analyse data requirements, prepare functional and non-functional specifications for the data products.

· Develop the data pipeline using either ETL or ELT approach to load or synchronise data in near real time or batch mode.

· Analyse and interpret data into business insights.

· Design and develop the dashboards and visualizations using the BI tools.

· Ability to understand and convert the business logics into SQL queries and validate it against the data.

· Prepare Test Plans and conduct Unit Test, System Integration Test, User Acceptance Test and Performance Test.

· Implement deployment approaches and methods to roll-out the system changes.

· Stay up to date with industry standards and technological advancements that will improve the quality of the data products.

Job Requirements

· A keen learner with a minimum Bachelor’s Degree in Computer Science or related fields.

· At least 2 to 3 years of end-to-end data warehouse, data lake and big data implementation experience.

· Proficient with at least one or more of the following technologies: Informatica, SSIS, SQL Skills, SQL Server, AWS, Data Warehouse, ETL Framework.

· Preferably possess a good knowledge about: Power BI, Qlik Sense, MicroStrategy, SAS and Tableau.

· Able to work under pressure when there is an escalated demand in the project cycle.

· Understand the solution requirements and progress to develop, build and operationalise the solutions.

· Enjoy problem solving in different domains and industries.

· Love working with a highly energetic and competent team.

· A self-starter with an analytical approach to problem solving.

· A client-centric, outcome driven and quality focused team player.

· Excellent communication; both in written and spoken English.

Office Location : Central

Hybrid working arrangement

**We regret that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

This Data Analyst role is critical for establishing robust data processes, maintaining data integrity, and supporting the company’s efforts toward leveraging high-quality data for decision-making and AI transformation. Key responsibilities include:

1. Creating Data Processes: Develop procedures for data entry, database integration, and sharing to standardize processes, prevent data duplication or corruption, and ensure long-term data preservation.
2. Protecting Data: Maintain data integrity by identifying and removing duplicates and imperfections, ensuring efficient database functionality. Assess data security risks and monitor usage to prevent breaches.
3. Managing Data Lineage: Track data origins and uses to facilitate issue resolution, ensuring accurate and reliable data.
4. Maintaining Data Quality: Use customer feedback to develop systems for high-quality data, providing actionable insights for better decision-making. Regularly report metrics, track issues, and make recommendations to management.

Key Responsibilities:

• Master Data Management:
  Oversee global master data lifecycle processes, including creation, validation, and deactivation for ERP and CRM systems.
  Develop and enforce data governance policies and procedures.
  Ensure data quality and integrity across systems.
• Process Improvement:
  Suggest or support process improvements and best practices in data management.
  Conduct regular data audits and quality assessments.
• Training and Support:
  Provide training and support to staff on data management practices.
  Resolve data-related issues and discrepancies within systems.
• Documentation:
  Maintain documentation for data management processes and policies.
  Translate business requirements into data modeling solutions and infrastructure.
• Data Operations:
  Responsible for data migration and standardization across the organization.
• Data Visualization and Reporting:
  Develop and maintain data visualizations and reports to support decision-making.
  Collaborate with stakeholders to define reporting needs and ensure alignment with business objectives.
  Utilize tools like Power BI to create dashboards and deliver insights in an accessible format.

Minimum Qualifications

• Education:
  Bachelor’s degree in Information Technology, Business Administration, or a related field.
• Experience:
  3-5 years of experience in master data management or a similar role.
  Proficiency in Microsoft SQL Server with advanced SQL query skills.
  Strong understanding of data architecture and governance principles.
• Skills:
  Proficiency in data management tools (e.g., MSSQL Server Management Studio, Power BI, Excel).
  Strong analytical and problem-solving abilities.
  Excellent communication and interpersonal skills.
  Attention to detail and a commitment to data accuracy.

Preferred Qualifications:

• Experience using RapidStart tools and Configuration Packages for Dynamics Navision and/or Business Central.

Data Analyst

90 Seconds is looking for a Data Analyst to wrangle data and drive business intelligence. This person should be detail-oriented with good commercial acumen and will turn data into information, information into insight, and insight into business decisions. If you are a data wizard with a passion for AI, who wants to be part of a world leading, Sequoia-backed, services marketplace in pro video creation, play a key role and have immense impact on the business, then this is the role for you!

What you'll do

• Understand and manage the data structure of the 90 Seconds marketplace application.
• Extract data from our data sources through writing raw and complex SQL queries, interpret and analyse data and draw valuable insights
• Develop dashboards, graphs and reports using external BI tools including Looker Studios, HubSpot and Google Sheets.
• Work to build custom GPTs (and other AI applications) on top of our data to provide operational efficiencies.
• Work with senior leaders to understand and prioritise information needs and provide insights to the business
• Develop systems for data collection, data analytics and other strategies that optimise business intelligence .

Who you are

• Bachelor's degree in Mathematics, Economics, Computer Science, Information Management or Statistics
• Expert skills in SQL (for use with a PostgreSQL database)
• Experience using third party analytics tools like Looker Studios, HubSpot and Google Sheets or Holistics, Periscope etc.
• Technical expertise in data modelling, database design development, data mining and segmentation techniques.
• Passionate and excited by the efficiencies AI to bring to an organisation.
• Strong attention to detail and accuracy.
• Ability to work well in a fast paced, collaborative, highly cross‐functional environment
• Self‐motivated, independent, and proactive, with a pronounced ability to work through complicated problems.
• Ability to respond flexibly to the needs of the business.
• Strong communication skills, both oral and written

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Responsibility

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

Design and build the DWH database models (star schema).

Manage the semantic model in Oracle Analytics Cloud to provide a unified view of our organization's data.

Manage application roles and access rights for end users including row level security filters, to protect sensitive data.

Work with ETL specialists, IT business Consulting as well as external vendors to ensure data ingestion and integration into the database model

Collaborate with Business Controlling and business counterparts on new reporting requirements.

Ensure data quality, security and compliance with industry standards and internal guidelines.

Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.

Skills

Looking for a Data Engineer more focused on Database modelling, Currently in Oracle environment and going forward with GCP stack.

Proficiency in SQL and data warehousing

Strong understanding of data modelling techniques and hands on experience building database models (star schema).

Expertise with ETL (extract, transform, load) processes. Familiarity with BI tool integration such as Tableau or Looker

Strong analytical thinking, problem-solving capability, and ability to translate business needs into technical specifications.

Customer-oriented with good communication and interpersonal skills.

Do you possess excellent problem-solving abilities, programming skills and a passion for creating innovative applications?

Are you interested in working with one of the largest data repositories in the world today, soon to exceed 1 Exabyte?

Do you see yourself as an integral part of a highly skilled, multidisciplinary team solving complex data science problems through ground-breaking innovations and bringing them to actual production?

Do you feel comfortable in challenging problem-solving environments where the issues you are confronting often have no pre-set solutions, require first-principles thinking, and need to be addressed on tight deadlines?

If you answered YES to the above, we have the ideal opportunity for you at Mobilewalla.

About Mobilewalla:

Mobilewalla stands as one of the world's fastest-growing consumer intelligence companies. It is headquartered in the United States and maintains a global presence with offices across Europe, APAC, and ANZ regions.

Our innovative approach involves the development of cutting-edge computational techniques, ranging from semantic compression algorithms that enable the cost-effective storage of vast datasets to statistical modelling techniques that profile anonymous consumers on their mobile devices. This innovation has led to the creation of the largest consumer audience platform in the mobile space. Mobilewalla's platform is rapidly becoming the preferred asset for global marketers seeking to execute data-driven marketing campaigns. We take pride in our technical excellence, earning accolades such as the AWS Technology Company of the Year award in 2019. Additionally, we have been recognised as a premier data company by Oracle Data Cloud, the world's largest digital data marketplace — a distinction shared by only 18 companies globally.

Responsibilities

Advanced Analytics:

• Develop and implement predictive models, algorithms, and statistical analyses to extract meaningful insights from large datasets specific to the Telco domain.
• Design experiments and conduct exploratory data analysis to identify trends, patterns, and opportunities for product enhancement.

Machine Learning:

• Apply machine learning techniques to optimise and personalise Telco product features.
• Collaborate with cross-functional teams to integrate machine learning models into our products, ensuring seamless user experiences.
• Data Modelling: Build and maintain robust data models (community detection) for Telco-specific datasets, considering scalability, efficiency, and accuracy.
• Continuously evaluate and enhance existing models (Householding and Business Community detection) to improve predictive performance.

Product Enhancement:

• Work closely with product managers to identify Telco market trends and customer needs, translating them into actionable data science projects.
• Provide data-driven recommendations to improve product features, user engagement, and overall customer satisfaction.

Communication:

• Effectively communicate complex analytical findings to both technical and non-technical stakeholders, facilitating informed decision-making.

Qualifications:

• Educational Background: Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
• Experience: Proven track record of at least 4 years in a data science role with a focus on Telco competitive intelligence products.
• Strong experience in applying machine learning algorithms and statistical modelling in the Telco domain.
• Technical Skills: Proficiency in programming languages such as Python or R.
• Hands-on experience with relevant machine learning libraries (e.g., TensorFlow, PyTorch, PySpark) and data manipulation tools.
• Domain Knowledge: In-depth understanding of Telecommunications industry trends, challenges, and emerging technologies.
• Familiarity with Telco-specific datasets and data sources.
• Preferred Qualification: Experience with Location Intelligence, including geospatial analytics, GIS tools, and the application of location-based data in Telco products.
• Collaboration: Proven ability to collaborate effectively with cross-functional teams, including product management, engineering, and business stakeholders.
• Communication Skills: Excellent communication skills with the ability to present complex technical findings in a clear and understandable manner.
• 
  

If you are a passionate & innovative problem solver with expertise in Telco products, we invite you to join our team and contribute to the success of our cutting-edge products in the telecommunications space.

Individuals who are Singapore Citizens, Permanent Residents, or Current Employment Pass (EP) holders only will be screened.

Only shortlisted candidates will be notified.

No job recruitment agencies.

The Job

To support the fast-growing data analytics function, we are looking for a highly talented Data Analyst. The ideal candidate will be responsible for:

• Building trust, relationship between the Data Team and our business stakeholders, and being responsible to further the maturity in Analytics in the business divisions he/she supports.
• Collaborating and partnering with business units and external partners to identify, plan and prioritise descriptive and prescriptive analytics projects to foster a data-centric culture that produces business impact.
• Partnering with Data Engineering to improve the data availability and quality of data pipelines, tools and processes. Including driving initiatives to standardise organisation metrics and leading data democratisation across the organisation.
• Partnering with other Data Units across the organisation such as the Data Science Team, Audience Engineering, Data Programs, and Innovation Teams in order to find and drive project synergies to drive value in data and analytics in the business lines.
• Contributing to data growth within the organisation by being part of infrastructural project teams and providing a point of view from business unit analytical needs.
• Hands on work on chosen data analytics projects where he/she thinks he/she can most add value to the team and the business. He/she is expected to be highly independent, and to lead business intelligence and analytics projects through the entire lifecycle. The ideal candidate will possess relevant domain, technical, critical thinking and interpersonal skills.
• Thought leadership in advancing SPH Media’s digital transformation and advancing the maturity of the use of data and analytics across the organisation.
• The team is highly diversified with members from completely different backgrounds, but we all believe in systematic approaches and we are always open to new solutions.

General Knowledge & Experience

• At least 2-5 years of experience in a Data Analyst role
• A good university degree in Statistics, Engineering, Economics, Mathematics, Physics, Computer Science, Business Administration or related fields. Or relevant experience in lieu of a degree.
• Exposure and understanding of digital media industry metrics is a bonus

Responsibilities

• Designing, developing, testing, and debugging sophisticated computer programs such as database management systems, client/server applications, BI Reports.
• Troubleshooting and maintaining existing applications for their continued operation.
• Select and implement appropriate data storage technologies (relational databases, NoSQL databases, data warehouses) based on business needs.
• Ability and eagerness to learn and work in new technologies and Adhering to project timelines.

Requirement

• Relevant study in Computer Science or related field with more than 5 years of experience
• Expertise in SSIS, Power BI, MSBI, SSAS and .Net.
• Strong knowledge of database systems and data modeling techniques
• Basic knowledge in T-SQL and RDMS
• Knowledge in ETL process is added advantage
• Excellent problem-solving skills and attention to detail.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Data Scientist

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.

About ACIA

Aon’s Centers for Innovation and Analytics are at the heart of delivering Aon’s Data & Analytic Services team’s mission to: Accelerate the rate of innovation through digital solutions to help better respond to clients’ evolving needs. Provide foundational data and analytics capabilities in one place for 50,000 Aon colleagues and our global clients who use our risk and people solutions.

Established in 2012, there are over 100 colleagues in Singapore’s Centre today including actuaries, software developers, data scientists, financial analysts and accountants. We are expanding rapidly and looking for dedicated individuals who can leverage emerging technologies and collaborate across Aon’s solution lines to help clients and colleagues make better, data-driven decisions today and tomorrow.

What the day will look like

• Brainstorm innovative ways to use our unique data to answer business problems.
• Provide technical leadership in a team that generates business insights, identify impactful recommendations, and communicate the findings to clients.
• Collaborate with a team of experienced actuaries, data engineers, developers, and business experts to deliver on Aon’s data, analytics and reporting capabilities.
• Develop elegant, and effective methodologies to solve complex business problems.
• Work with large datasets spanning health, wealth, and talent domains to identify key insights.
• Build pipelines for data cleaning, and data transformation while ensuring good code quality.
• Partner with business experts to enrich the data and find meaningful relationships/insights that can be applied to build actionable solutions.
• Build statistical and machine learning models to solve the business problem.
• Design, develop, test, improve, and document analytical solutions to drive innovation and efficiency.
• Implement automation, when possible, to streamline the process, and minimize manual intervention.
• Mentor junior colleagues and communicate with stakeholders.

Skills and experience that will lead to success

• Bachelor, Master, or Ph.D. in engineering, statistics, economics, or any other equivalent discipline with a strong statistical background.
• Experience working with defined contributions data, pension modeling and asset/interest rate analysis.
• Experience working with time series data sets and analysis.
• 5+ years of hands-on experience with data cleaning, analysis, modeling, and result interpretation.
• Experience working in product teams with focus on designing and developing analytical capabilities.
• Recent working knowledge of SQL, Python, and PySpark. Knowledge of Databricks is a plus.
• Ability to handle projects with ambiguity in requirements and handle multiple projects at a given time.
• Fluent presentation and communication skills and ability to convey technical analyses and information in a clear and concise manner to a wide variety of stakeholders.
• Understand the importance of performance and able to implement best practices in ensuring performance and maintainability for data-centric projects.
• Quick and eager student of new technologies as and when they are needed.

How we support our colleagues

In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work... and we are all for it. We call this Smart Working!

Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.

Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.

Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status.

We welcome applications from all and provide individuals with disabilities with reasonable adjustments to participate in the job application, interview process and to perform essential job functions once onboard. If you would like to learn more about the reasonable accommodations we provide, email [email protected]

Data Scientist

Aon is in the business of better decisions

At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.

As an organization, we are united through trust as one inclusive, diverse team, and we are passionate about helping our colleagues and clients succeed.

About ACIA

Aon’s Centers for Innovation and Analytics are at the heart of delivering Aon’s Data & Analytic Services team’s mission to: Accelerate the rate of innovation through digital solutions to help better respond to clients’ evolving needs. Provide foundational data and analytics capabilities in one place for 50,000 Aon colleagues and our global clients who use our risk and people solutions.

Established in 2012, there are over 100 colleagues in Singapore’s Centre today including actuaries, software developers, data scientists, financial analysts and accountants. We are expanding rapidly and looking for dedicated individuals who can leverage emerging technologies and collaborate across Aon’s solution lines to help clients and colleagues make better, data-driven decisions today and tomorrow.

What the day will look like

• Brainstorm innovative ways to use our unique data to answer business problems.
• Provide technical leadership in a team that generates business insights, identify impactful recommendations, and communicate the findings to clients.
• Collaborate with a team of experienced actuaries, data engineers, developers, and business experts to deliver on Aon’s data, analytics and reporting capabilities.
• Develop elegant, and effective methodologies to solve complex business problems.
• Work with large datasets spanning health, wealth, and talent domains to identify key insights.
• Build pipelines for data cleaning, and data transformation while ensuring good code quality.
• Partner with business experts to enrich the data and find meaningful relationships/insights that can be applied to build actionable solutions.
• Build statistical and machine learning models to solve the business problem.
• Design, develop, test, improve, and document analytical solutions to drive innovation and efficiency.
• Implement automation, when possible, to streamline the process, and minimize manual intervention.
• Mentor junior colleagues and communicate with stakeholders.

Skills and experience that will lead to success

• Bachelor, Master, or Ph.D. in engineering, statistics, economics, or any other equivalent discipline with a strong statistical background.
• Strong econometrics skills.
• Experience in analyzing job posting, skills data, compensation data, etc.
• 5+ years of hands-on experience with data cleaning, analysis, modeling, and result interpretation.
• Experience working in product teams with focus on designing and developing analytical capabilities.
• Recent working knowledge of SQL, Python, and PySpark. Knowledge of Databricks is a plus.
• Ability to handle projects with ambiguity in requirements and handle multiple projects at a given time.
• Fluent presentation and communication skills and ability to convey technical analyses and information in a clear and concise manner to a wide variety of stakeholders.
• Understand the importance of performance and able to implement best practices in ensuring performance and maintainability for data-centric projects.
• Quick and eager student of new technologies as and when they are needed.

How we support our colleagues

In addition to our comprehensive benefits package, we encourage a diverse workforce. Plus, our agile, inclusive environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two “Global Wellbeing Days” each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions, but we also recognise that flexibility goes beyond just the place of work... and we are all for it. We call this Smart Working!

Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.

Aon values an innovative, diverse workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.

Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status.

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Data Analysts collect data, such as sales numbers or market research, to help companies make the right decisions. Key role of this position is to generate actionable insights, trends, problem statements, and business value. This person may be required to work with key partners in business and technology teams to create meaningful visualizations and stories to describe data in forms usable by the business.

Responsibilities

• Collaborate with cross functional team members and stakeholders to identify, collect and analyze data; to solve data related business challenges
• Analyze datasets to identify trends and uncover insights for potential business improvement and business opportunities
• Set up and maintain tracker on key leading business indicators
• Use graphs, infographics and other methods to help visualize data and present recommendations and findings to stakeholders
• Create useful reports and dashboards to help team members and stakeholders track performance and achieve business goals
• Establish KPIs to measure the effectiveness of data driven business decisions
• Ensure data is clean and Verified for accuracy and consistency
• Supporting the data warehouse in identifying and revising reporting requirements
• Providing expertise in data storage structures, data mining, and data cleansing
• Create and apply statistical model if necessary to create and evolve insight

Qualifications:

• Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Business or any other related discipline or commensurate work experience or demonstrated competence. Proven experience in data analysis, preferably in a similar role.
• Typically has 2-3 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with little or no work experience.
• Strong analytical, curious, business-oriented and written/oral communication skills
• Strong data visualization skills using tools such as Tableau, Power BI, or others.
• Excellent problem-solving and critical-thinking abilities.
• Effective communication skills with ability to story tell through data
• Keen learner, open to feedback and self-improvement
• (Preferred) Familiarity with data governance principles and data privacy regulations
• (Preferred) Programming knowledge such as Python and R
• (Preferred) Knowledge in Data Warehousing, ETL/ ELT processes

Responsibilites

• Design, develop, and maintain robust data pipelines and architectures.
  Collaborate with cross-functional teams to integrate data from various sources.
• Implement and manage CI/CD processes to ensure smooth deployments.
• Optimize Snowflake database performance and ensure efficient data storage.
• Utilize Azure Data Factory and the MS Fabric stack for data integration and orchestration.
• Write and maintain detailed technical documentation for data processes and architecture.
• Monitor and troubleshoot data pipelines to ensure data integrity and quality.
• Stay current with industry trends and best practices in data engineering and integration.

Requirement

• Expertise in Snowflake database development.
• Proficient in Azure Data Factory and the MS Fabric stack.
• Experience with Continuous Integration / Continuous Deployment (CI/CD).
• Strong background in advanced data integration and engineering.
  Proven ability to write clear and comprehensive technical documentation.
• Experience with multiple cloud platforms, specifically Azure and AWS.
  Strong problem-solving skills and attention to detail.
• Excellent collaboration and communication skills.
  

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field; Master’s preferred.
• Minimum 5 years of experience in a similar role.

Responsibilities

• Designing, developing, testing, and debugging sophisticated computer programs such as database management systems, client/server applications, BI Reports.
• Troubleshooting and maintaining existing applications for their continued operation.
• Select and implement appropriate data storage technologies (relational databases, NoSQL databases, data warehouses) based on business needs.
• Ability and eagerness to learn and work in new technologies and Adhering to project timelines.

Requirement

• Bachelor degree in Computer Science or related field with more than 5 years of experience
• Expertise in SSIS, Power BI, MSBI, SSAS and .Net.
• Strong knowledge of database systems and data modeling techniques
• Basic knowledge in T-SQL and RDMS
• Knowledge in ETL process is added advantage
• Excellent problem-solving skills and attention to detail.

• Newly created role
• International setting & hybrid role
• Trading or commodities industry experience

about the company
My client is seeking a talented Data Engineer to join our team. This hybrid role combines the responsibilities of a data engineer and a data analyst, offering a dynamic environment to develop and implement cutting-edge data solutions. This is a front-facing role requiring collaboration with business stakeholders to deliver impactful data-driven insights.

about the job

• Develop and maintain data pipelines, ETL/ELT processes, and advanced analytics tools.
• Design and optimize relational database models and queries.
• Create interactive dashboards and reports using tools like PowerBI or Tableau.
• Ensure data quality through validation, cleaning, and management processes.
• Expand public market data collection and maintain data freshness.
• Collaborate with business users to gather feedback and iterate on data solutions.
• Contribute to master and referential data management practices.
• Follow software development best practices, including source control and testing.
• Perform other ad-hoc duties as assigned by the manager.

skills and experience required
Minimum 2 years of experience working with large datasets. Proficient in scripting languages such as Python or R, with knowledge of data processing libraries.

Hands-on experience with RDBMS design, querying, and ETL/ELT workflows.

Familiarity with reporting tools like PowerBI, Tableau, or similar. Strong understanding of software development lifecycle and DevOps principles.

The ideal candidate has a background in trading or commodities and at least 2 years of relevant experience.

whats's offer
The permanent role for a Data Engineer will pay a salary range of $ 5,500 to $ 6,500 plus perks from the company.

To apply online please use the 'apply' function, alternatively you can reach me at https://www.linkedin.com/in/Oliviatoh-032330132/. (EA: 94C3609 / R22109942).

About the client:

Our client is a leading technology start-up that focuses on leveraging data to drive innovation and enhances their enterprise solutions. Due to business needs, they are now looking for a talented Data Scientist to join their regional team. A key part of your role will see you helping customers to unlock insights from complex datasets and make inform strategic business decisions.

About the role:

As a pivotal player within the data scientist team, you will be responsible for analysing large volumes of data, developing predictive models, and deriving actionable insights that support business objectives. This role requires a strong analytical mindset, proficiency in statistical methods, and expertise in programming and data visualization.

Key Responsibilities:

- Collect, clean, and preprocess large datasets from various sources to prepare for analysis.

- Develop and implement statistical models and machine learning algorithms to solve business problems and improve decision-making.

- Conduct exploratory data analysis to identify patterns, trends, and relationships within the data.

- Collaborate with cross-functional teams, including engineering, product management, and marketing, to understand data needs and deliver insights that drive product enhancements.

- Create data visualizations and dashboards to effectively communicate findings and recommendations to stakeholders.

- Monitor model performance and refine algorithms based on feedback and changing business requirements.

- Stay updated on industry trends and best practices in data science, machine learning, and artificial intelligence.

- Document methodologies, processes, and findings to ensure transparency and reproducibility of analyses.

Qualifications:

- Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field; PhD is a plus.

- 3+ years of experience in a data science role, preferably within the technology sector.

- Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis.

- Experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).

- Strong knowledge of statistical analysis and modeling techniques.

- Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib) to present insights effectively.

- Excellent problem-solving skills and the ability to work independently and collaboratively in a team environment.

- Strong communication skills to convey complex technical concepts to non-technical stakeholders.

If you are passionate about data science and ready to take on exciting challenges in a dynamic tech environment that fosters a culture of innovation and continuous learning, we want to hear from you.

We are seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

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
• 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
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Proven 2-5 Years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
• trong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Graphana, Prometheus, Splunk will be an added benefit
• trong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges
• Excellent collaboration and communication skills to work effectively with cross-functional teams
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

The Role

The Data Scientist will implement cohesive data integration and analytics solutions involving both structured and unstructured data. Projects will include development of predictive, forecasting or operation research (optimisation) models as well as text mining and network analytics solutions.

Job Responsibilities

· Primarily responsible for applying the skills and knowledge gained about data analysis, analytics, data science to ensure the successful delivery of client engagements and initiatives within our Data and Analytics practice.

· Develop and manage the end-to-end lifecycle of analytics projects from requirement, data scoping, modelling to production (model deployment and monitoring).

· Attend and assist in facilitating project meetings / workshops with client working team members.

· Propose, implement, and validate algorithms, ensuring functional and non-functional requirements such as transparency, fairness, scalability, security, integration complexity and operational costs.

· Participate in software development processes and best practices, documentation of requirements and software codes during the software development lifecycle.

· Produce high quality deliverables/document, with-ready-to-use content.

· Drive a module or task within a project on their own with minimal supervision.

· Prepare user requirements and any data development work including documentation.

· Proactively perform research on the business, industry and functional domain of the client to stay up to date.

· Assist in developing project deliverables and assets such as templates, processes, reports, and presentation decks for the client based on the work assigned.

Job Requirements

· Bachelor’s degree in computer science, Mathematics, Statistics, Business Analytics or equivalent.

· Data Scientist – at least 2 years’ experience in data analytics fields/ML.

· Experience in data processing, feature selection, hyper-parameter optimization, model validation and visualization.

· Experience in data analysis / numerical computing / classical ML tools like Pandas, NumPy/SciPy, Scikit-Learn, or XGBoost.

· Able to develop SQL queries and working with data models.

· Experience in production software engineering routines such as test-driven development, code versioning with Git, conducting code reviews, and CI/CD.

· Familiar with object-oriented programming concepts and their application to data science pipelines.

· Deep and eager interest in emerging technologies and the ability to leverage the technologies into solutions to meet our strategic and operational client needs.

· A self-starter with an analytical approach to problem solving.

· A client-centric, outcome driven and quality focused team player.

· Detailed oriented and is able to work in fast paced and agile environment.

· Excellent communication skills; both in written and spoken English.

Office Location : Central

Hybrid working arrangement

**We regret that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

We are looking for data processors to process, verify and organize surveyed data for reporting purposes. Fresh graduates are welcome to apply as on the job training will be provided.

Job Scope

• To process, verify and organize surveyed data
  • To identify errors in data
  • To perform data analysis
  • To prepare survey drawings using AutoCAD software
  • To generate reports for submission to Authorities
  • Other related duties as assigned

Requirements

• Fresh Diploma or Degree Graduates
• A good team player
• Proficient in Microsoft Excel
• Good Results and Strong Interest in Mathematics
• Meticulous / Pay attention to details
• Desk-bound job
• Fast learner
• Start immediate or within short notice

Work Location

Singapore

Ubi – Near Tai Seng MRT (Circle Line)

Working Hours

8.30am to 5.45pm (Monday to Friday)

Remarks

• Pleasant and Dynamic Work Environment
• Annual & Medical Leave Benefit
• Insurance Coverage including Personal Accident, Hospital & Surgical
• Good Career Progression
• Competitive Salary Package
• Annual Increment and Bonuses

Responsibility

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

Design and build the DWH database models (star schema).

Manage the semantic model in Oracle Analytics Cloud to provide a unified view of our organization's data.

Manage application roles and access rights for end users including row level security filters, to protect sensitive data.

Work with ETL specialists, IT business Consulting as well as external vendors to ensure data ingestion and integration into the database model

Collaborate with Business Controlling and business counterparts on new reporting requirements.

Ensure data quality, security and compliance with industry standards and internal guidelines.

Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.

Skills

Looking for a Data Engineer more focused on Database modelling, Currently in Oracle environment and going forward with GCP stack.

Proficiency in SQL and data warehousing

Strong understanding of data modelling techniques and hands on experience building database models (star schema).

Expertise with ETL (extract, transform, load) processes. Familiarity with BI tool integration such as Tableau or Looker

Strong analytical thinking, problem-solving capability, and ability to translate business needs into technical specifications.

Customer-oriented with good communication and interpersonal skills.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

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