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

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

Job Description:

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

KEY ACCOUNTABILITIES

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

EXPERIENCE & EDUCATION

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

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

We are looking for Data Engineer to support our project in Singapore. This is a 2 year contract role.

The Data Engineer will support the development and maintenance of the global AI sandbox, development of cutting-edge AI solutions, R&D, and provide technical guidance and support in the data domain to the teams under incubation that develop AI Products.

The role requires a strong technical background in Data Engineering, AI, and modern Cloud infrastructure, excellent technical skills, and the ability to collaborate with both internal and external stakeholders across technology, AI, and business to deliver impactful AI products. The Data Engineer will work on the delivery of high-quality data infrastructure, continuous improvement, and experimentation, and development of the company’s data expertise.

Key Responsibilities:

In this role, you will be an active member of the AI Lab, playing the role of Data Engineer to support the implementation of solutions built in AI labs:

• Build data pipelines to bring in wide variety of data from multiple sources within the organization as well as from relevant 3rd party sources.
• Collaborate with cross functional teams to source data and make it available for downstream consumption.
• Work with the team to provide an effective solution design to meet business needs.
• Ensure regular communication with key stakeholders, understand any key concerns in how the initiative is being delivered or any risks/issues that have either not yet been identified or are not being progressed.
• Ensure timelines (milestones, decisions, and delivery) are managed and value of initiative is achieved, without compromising quality and within budget.
• Ensure an appropriate and coordinated communications plan is in place for initiative execution and delivery, both internal and external.

Qualifications:

• Strong technical background in data, AI, and modern cloud infrastructure.
• Excellent programming skills in languages such as Python, SQL.
• Experience with Cloud Infra providers like Azure data bricks, Google cloud platform or AWS
• Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, Dataset / Dataframe API) or Hive query language (HQL)
• Knowledge of Big data ETL processing tools
• Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
• Basic knowledge of scripting (shell / bash)
• Experience of working with multiple data sources including relational databases (SQL Server / Oracle / DB2 / Netezza), NoSQL / document databases, flat files
• Basic understanding of CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
• Basic understanding of DevOps practices using Git version control
• Ability to debug, fine tune and optimize large scale data processing jobs

Argyll Scott Consulting Pte Ltd

about the company:
Our client is a prominent service provider known for delivering innovative and customized insurance solutions designed to cater to the varied needs of individuals and businesses.

about the job:

• Design and implement scalable data pipelines and ETL processes for extracting, transforming, and loading data from various sources.
• Optimize and monitor data workflows to ensure data quality, reliability, and performance.
• Provide clean and comprehensible data to end-users that can be efficiently used to create KPIs or for analysis purposes
• Automate data and reporting to support data analysis, data science, and the business.
• Collaborate with cross-functional teams to gather requirements and understand data needs for business intelligence and reporting.

skills and experience required:

• Bachelor’s Degree in Engineering, Computer Science or related field.
• 3 – 5 Years of working experience, with at least 3 year of experience in data engineer. Cloud Technology, Microsoft SQL Server and Data warehouse
• Strong Cloud Technology.
• Strong SSIS, SSAS, SSRS, Python
• Strong knowledge in SQL

To apply online please use the apply function, alternatively you may contact Dalpreet Kaur at [email protected] (EA: 94C3609 /R23111951)

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

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

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

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

Co-Development Business Unit is looking for Data Engineer

Internal Code: A24122

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

This is a healthcare application:

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

What will you do?

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

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

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

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

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

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

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

What are we looking for?

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

What do we offer in return?

• Fun working environment
• Employee Wellness Program

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

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

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

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

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

Are you ready to combine your creativity with your business acumen? We’re looking for a dynamic and driven Events & Marketing Associate to join our growing team. If you’re passionate about driving results through innovative marketing strategies and building meaningful customer relationships, this is your chance to shine!

What You’ll Do

Collaborate: Work closely with cross-functional teams to align marketing campaigns with sales goals.

Spearhead: Get opportunities to lead a new project and expand our reach.

Grow: Manage & lead a team of professionals and visionaries to hit targets consistently.

Why You'll Love Working With Us

Transformative Culture - We value individuals who are passionate and innovative. You'll work in an environment whereby vibrant individuals and ideas shine.

Career Progression - We want to have more partners working alongside us. With defined stages of advancements, your trajectory will be precise.

Overseas Exposure - We believe everyone has the potential to explore, and these trips will gain you valuable insights on how to manage oneself and the team better.

If you're looking to kickstart your career with a fun and rewarding company, then we are the one for you. Apply now!

The Technical Lead will be a key member of the data engineering team. He/she will support the delivery team in designing technology solution to help address complex business and process challenges in client organisation. He/she will ensure the proper and smooth implementation of the technical design.

Job Responsibilities

· Collaborate with project team and client to determine business requirements and environment.

· Provide guidance and quality assurance of development-related project deliverables such as performance, scalability, usability, security, integration complexity and operational costs.

· Assist in proposal development, proof of concepts and provide proposal cost estimation.

· Engage stakeholders to explain the rationale of architecture’s selection, technology choice and integration solutions.

· Provide support and clarification to data engineering teams if there are queries on the technical specification.

· Identify opportunities to improve productivity and optimise / automate processes via the adoption of new technologies or other means.

· Help resolve technical problems as and when they arise

· Coach, develop and supervise team members.

Job Requirements:

· A minimum bachelor’s degree in Computer Science or related fields.

· Managed at least 2 to 3 end-to-end data warehouse / data lake / data visualisation implementation

· Possess 5 or more years of Enterprise Data Management experience.

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

· Possess excellent knowledge about: Power BI, Qlik Sense, MicroStrategy, SAS and Tableau. Preferably possess a good knowledge of AWS/Azure services, Hadoop Ecosystem, Data APIs, Unstructured Data and Data Modelling.

· Able to lead multiple teams and effectively work under pressure when there is an escalated demand in project lifecycle.

· Excellent stakeholder management and influencing skills covering colleagues, partners/vendors.

· Strong problem solving, quantitative and analytical abilities.

· Excellent communication, presentation, collaboration, and delegation skills.

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

Zenith Infotech is a Tech Recruitment Company in Singapore for the last 27 years. We are looking for a suitable candidate to fill the above position of BI Engineer.

Responsibilities: As a BI Engineer, you will be responsible for developing and maintaining the Microstrategy setup within the overall Data Platform. The engineer must be able to discuss requirements with the clients and support in setup and issue rectifications.

Top 3 skills (must have)
1. MicroStrategy Business Intelligence
2. ETL Pipelines
3. Data Modeling Techniques and Methodologies , strong MSTR knowledge

COMPANY DESCRIPTION

As the world's leading owner and operator of LPG carriers with five decades of operating experience, BW LPG promotes competitive, sustainable solutions to secure value for society and our stakeholders.

Our global footprint spans seven countries with 17 nationalities represented across our workforce. Our fleet of 39 Very Large Gas Carriers (VLGC) offer a total carrying capacity of over 3 million CBM. From spot voyages and time charters to Contracts of Affreightments (CoAs), our emphasis on flexible, reliable service has earned the trust of leading oil companies as well as trading and utility companies. More information about BW LPG can be found at www.bwlpg.com.

BW LPG is associated with BW Group, a leading global maritime company involved in shipping, floating infrastructure, deepwater oil & gas production, and new sustainable technologies. Founded in 1955 by Sir YK Pao, BW controls a fleet of over 490 vessels transporting oil, gas and dry commodities, with its 200 LNG and LPG ships constituting the largest gas fleet in the world. In the renewables space, the group has investments in solar, wind, batteries, biofuels and water treatment. BW LPG, as a member of the BW Group, is one of Forbes World's Best Employers 2023.

RESPONSIBILITIES

Summary:

The Senior Data Engineer has a role focusing on building our modern Lakehouse including owning pipeline development, data modeling and governance within a cross-functional team responsible for the end-to-end delivery of data products and analytics solutions.Additionally creating CI/CD pipelines for automated deployments and monitoring, and enforce data quality checks, ensuring data consistency, reliability, and compliance.

Key Responsibilities:

Working with Product Owners, Business Analysts and Data Analysts to ensure business requirements are translated into data solutions, deliver accurate and reliable datasets that enable impactful analytics and dashboards.

They collaborate with System Analysts and the Business to understand the business logic and data lifecycle within our systems and inform our solution design with a goal of balancing scalability and performance.

Skills:

• Collaboration and Communication Skills: Excels at working in a team to align data solutions with business needs, focused on creative problem-solving in a fast-paced environment.
• Analytical Thinking & Communication: Strong skills in analyzing and translating data-driven insights and requirements to both technical and non-technical stakeholders.
• Spark & Azure Databricks: Proficiency in designing and implementing data pipelines to support reliable data ingestion and transformation using Databricks and Spark.
• Data Modeling Expertise: Advanced SQL and Python skills for complex queries and data modeling, enabling efficient data access and transformation.
• CI/CD Pipeline Creation: Experience in creating CI/CD pipelines, enabling automated testing, validation, and deployment of data pipelines models using GitHub and GitHub Actions with Databricks.
• Infrastructure as Code: Experience in automating cloud infrastructure management for consistent deployment and scaling using tools like Terraform.

• 5+ Years in Data Engineering: Proven experience building and maintaining data infrastructure, with a deep understanding of data engineering principles and best practices.
• Agile Mindset and Experience: Thrives in Agile Environments, with a strong resilience, adaptability and responsiveness to change in fast-paced settings.

The position will be based in Singapore.

Only shortlisted candidates will be notified.

Job Scope:

Working with Engineering Teams internationally, the Data Solutions Architect provides and manages high quality architecture and design of Data Solutions for Banking Applications used for Capital Markets and Market Risk of an International Bank.

Job Requirements:

• Bachelor Degree in Computer Science / Information Technology
• At least 8 years of software development experience with ability to resolve complex IT issues
• Experienced in leading technical design from inception to proof of concept
• Highly proficient in using advanced features in Java programming language
• Java 8 development with multi-threading principles, good knowledge of Java data structure and objects
• Good knowledge of algorithms and data structures
• Strong fundamentals in data complexity analysis
• Understanding of CI/CD pipelines, and tooling
• Experience in Apache Storm, Flink and Spark
• Experience in cloud technologies
• Experience in Parrallel processing of the message transformation pipeline to fPML, Json and key/value
• Kafka publishing/distribution primarily and MQ
• Microservices, defining APIs and registering APIs in the service catalogue, APIs and functions
• Experience with Jira tracking system
• Experience in Agile methodology

Please feel free to reach out to Christopher Wong at [email protected] with your updated CV in MS Word format and we will arrange for a convenient time to speak more.

Job Description:

As an Application Support Engineer, you will act as a software detective, identifying and resolving issues in critical business systems. You will work independently and collaboratively to provide innovative solutions, becoming a subject matter expert (SME) in the process. This role involves troubleshooting, engineering support, and improving application support processes, with a focus on ETL tools, data pipelines, and database management.

Key Responsibilities:

· Identify and resolve issues within critical business systems.

· Develop and improve application support processes and strategies.

· Collaborate with cross-functional teams to troubleshoot and resolve complex technical issues.

· Conduct system audits to optimize performance and identify areas for improvement.

· Provide technical guidance and support to end-users.

· Profile, cleanse, and classify data.

· Design and develop data pipelines that ingest data from various sources.

Requirements:

· Hands-on experience with RDBMS such as Oracle, DB2, MS SQL, or PostgreSQL.

· Knowledge of database design and data modelling (logical and physical).

· Experience with ETL tools like SAS DI, Informatica, or Talend.

· Familiarity with data streaming technologies such as Kafka or Spark is an advantage.

· Experience with data visualization tools like Qlik, Tableau, or Power BI is a plus.

· Self-motivated and eager to learn, with a willingness to share knowledge.

Preferred Skills:

· Basic proficiency in Application Remediation, Data Replication & Synchronization, and IT Troubleshooting.

· Intermediate proficiency in ETL tools.

Job Description & Requirements

We are seeking a highly skilled Market Data Analyst Presales Engineer to join our dynamic team. In this role, you will play a pivotal role in driving sales by leveraging your deep understanding of market data and technical expertise. You will collaborate closely with the sales team to identify and qualify opportunities, conduct in-depth technical assessments, and deliver compelling product demonstrations.

Technical Expertise:

Develop a strong understanding of our products and services (Cryptocurrency, Investments, etc), including their technical specifications, capabilities, and benefits.

Stay up-to-date with industry trends, emerging technologies, and competitive landscapes.

Conduct in-depth technical assessments of client requirements and propose tailored solutions.

Contribute to the development of the investment strategy, focusing on emerging trends in Fintech and infrastructure.

Identify new areas for investment within the fintech space, particularly in Payment solutions and decentralized technologies.

Presales Support:

Collaborate with the sales team to identify potential opportunities and qualify leads.

Develop and deliver compelling product demonstrations, presentations, and technical proposals.

Address technical questions and concerns from prospective clients, providing clear and concise explanations.

Conduct proof-of-concept (POC) implementations and data analysis to showcase the value of our solutions.

Data Analysis and Insights:

Analyze market data to identify trends, opportunities, and potential challenges.

Leverage data analysis techniques to support sales efforts and provide valuable insights to clients.

Develop custom data analysis solutions to address specific client needs.

Required Skills:

Data Analysis, Market research, Presales

domain Skills:

Cryptocurrency, Investments, etc.

Portfolio management experience is preferred.

JOB DESCRIPTION

This role encompasses two primary responsibilities, the first involves data science activities and the second focus on full-stack development.

Data Science Responsibilities:

• Collect, clean, and preprocess large datasets
• Develop and deploy machine learning models to address challenges related to Keppel energy systems, including predictive modeling, classification, and clustering
• Apply statistical analysis to derive actionable insights and support data-driven decision-making
• Perform data visualization to effectively communicate findings to both technical and non-technical stakeholders
• Collaborate with data science and engineering teams to identify opportunities for leveraging data in product development and operations

Full Stack Development Responsibilities:

• Design, develop, and maintain scalable web applications, ensuring seamless integration with data pipelines and models
• Build APIs and microservices to serve machine learning models and integrate with front-end interfaces
• Implement responsive front-end interfaces using modern frameworks (e.g., React) to display data insights and support interactive user experiences
• Optimize back-end services for efficiency and scalability, ensuring secure data access and real-time performance
• Troubleshoot and debug issues across the full stack (front-end, back-end, and database layers)

Such other duties and responsibilities as may be reasonably requested by your immediate supervisor / the head of department from time to time.

JOB REQUIREMENTS

• Bachelor's degree in computer science, software engineering or related field
• Strong knowledge of machine learning algorithms, statistical analysis, and data mining techniques.
• Strong understanding of back-end frameworks and technologies (e.g., Node.js, Django, Flask, Express).
• Proficiency in programming languages such as Python for data science applications.
• Proficiency in front-end technologies
• Hands-on experience with databases and cloud-based data storage solutions.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud)
  

Job Summary

A great opportunity as a Data Engineer to work in cloud based data engineering, analytics and data management team in a well established company.

Mandatory Skill-set

• Bachelor's Degree in Computer Science or equivalent;
• Minimum 5 years of experience in data engineering and data management;
• Hands on technical experience in Azure Data Factory, Databricks, Synapse, SQL Server Integration Services;
• Strong experience in Python / SAS / R along with Tableau / Power BI;
• Strong experience in gathering business requirements and translating into technical specification;
• Strong analytical skills with high curiosity to deep dive into root cause of problems and suggest solutions;
• Has good stakeholders management experience;
• Attention to technical details;
• Ability to deliver tasks on time with high quality outcome;
• Self motivated and ability to take ownership;
• Strong written and spoken communication skills.

Desired Skill-set

• Azure Data Engineer Certified;
• ITIL certified;
• Prior experience in Python, R or Machine Learning tools.

Responsibilities

• Design and develop data models, ETL pipelines, data integration process while ensuring data accuracy and quality;
• Perform data analysis of structured and unstructured data and perform business intelligence initiatives such as build user friendly reports using data visualization tools;
• Analyze ETL requirements from users and provide solutions accordingly;
• Responsible for planning and executing data profiling and data quality analysis;
• Monitor data pipelines, databases and analytical processes to ensure smooth operations;
• Identify and resolve data-related issues, performance bottleneck and data quality problems;
• Design and document data catalogs and data architectures;
• Perform regular data cleansing exercise to ensure that data is of high quality and relevant to the business needs;
• Execute data transformation, correction and aggregations to ensure compliance with business / regulatory requests;
• Build and maintain reports and dashboards using suitable data visualization tools;
• Conduct analysis on the reports and translate the findings into valuable insights to business users;
• Prepare data for prescriptive and predictive modelling;
• Perform database monitoring and performance tuning.

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

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

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

Company’s Profile:

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

Location: Ang Mo Kio/Yio Chu Kang area

Job Responsibilities:

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

Requirements:

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

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

Cassie Chan | R2197426

Talentsis Pte Ltd | EA No: 20C0312

Role: Data Engineer

Relevant Experience: Minimum 3 Years Experience in Data Engineering

Work Location: Hampshire Road

Benefits:

Attractive Fixed Basic Salary

Performance Bonus

Office Hours Job

Great Learning opportunity

Health Insurance

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

Job Description:

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

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

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

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

Job Description:

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

KEY ACCOUNTABILITIES

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

BREADTH & DEPTH

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

EXPERIENCE & EDUCATION

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

• Design, develop, test, and implement Tableau dashboards and visualizations
• Supporting Business dashboards, projects, and ad-hoc requests
• Manage portfolio of existing and future Tableau dashboards and deliverables (data preparation, security design, access management, data visualizations design, testing, optimization and automation, enhancement roadmap, portfolio catalog, development prioritization, user adoption and training)
• Lead the implementation of enhanced dashboard access and data sharing security framework for Business dashboards requirements
• Deliver meaningful insights, trends, and analysis across all Business areas using a variety of internal and external data sources
• Participate in gathering requirements and consulting with customers to understand business problems and find the best way to visualize outcomes
• Participate in cross-functional projects
• Translate analysis outcomes into compelling data visualizations that are intuitive and prompt insights and actions
• Use data to tell stories by creating visually appealing reports, Tableau dashboards, and presentations for our internal customers

Job requirements

• Bachelor Degree in Computer Science or Information technology
• Basic knowledge of products, services and channels in fin tech industry
• Strong background in database concept.
• Expert in Data Visualization tools (e.g. Tableau, QlikView, Power BI etc.)

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - https://sg.go.persolkelly.com/job/apply/10579

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

PERSOLKELLY Singapore Pte Ltd

• RCB No. 200007268E • EA License No. 01C4394

• Registration ID <R1105286> (Ngiam Xinyi)

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

Team Introduction

TikTok’s Product data scientist team is a critical component of the platform’s success, responsible for leveraging data to enhance user experience, optimize content delivery, and drive business decisions. As a leading social media app known for its short-form video content, TikTok relies heavily on data science to stay ahead in a competitive market.

Job Description

1. Lead and execute the local service data analysis project of international short videos, help business teams solve problems encountered in POI product construction through analysis, and achieve business goals.
2. Deeply understand user preferences, POI usage, and decision-making psychology, discover the essential needs and pain points of the business through targeted exploratory analysis, find opportunities for improvement/efficiency, provide specific feasible optimization suggestions, promote implementation, and bring actual business improvement.
3. Responsible for formulating and optimizing various product/operation strategies, user decision attribution, A/B experiment design and analysis, abnormal analysis of core indicators, guiding scientific decision-making and iterative closed-loop, promoting the implementation and continuous optimization of data analysis conclusions.

Minimum Qualifications

1. Bachelor's degree or above, with more than 3 years of work experience.
2. Experience in local life, e-commerce, and other related industries is preferred, with a background in data science, quantitative analysis, such as long chain attribution, statistics, computer science, economics, etc.
3. Possess data analysis capabilities to solve complex problems, design data collection schemes, excellent communication and coordination skills, and cross-departmental team collaboration abilities.

Preferred Qualifications

1. Good at thinking and summarizing, able to continuously improve work methods.
2. Able to quickly understand business logic, quantify the causes and effects of business problems through data, and provide specific feasible optimization solutions.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job Title: Temp Staff - Data Entry & Admin
Job Location: Fusionopolis, Singapore
Job Type: Contract - 3+3 Months
Working Hours: Mon - Fri: 8:30 AM - 6:00 PM

Job Description

Seeking motivated individuals with a keen eye for detail , with experience in data entry, data creation and editing of basic descriptive information on materials. Tasks could involve performing data comparison between digital repository systems and databases.

Job Requirements

The candidates should preferably have:

• Diploma holder
• Experience using Microsoft Excel and data entry;
• Experience working with processing archival collections; and
• Ability to adapt easily to changing priorities and task assignments.

If you are interested, kindly send your resume (in MS Word format) to Mounika at [email protected] stating your salary expectations & availability to take it forward.

All Curriculum Vitae will be treated with the strictest confidentiality. By sending us your personal data, you are deemed to consent to RMA Consultants Pte Ltd and its affiliates collecting, using and disclosing your personal data for the purposes set out in our Data Protection Policy at http://bit.ly/3GHgsknand Privacy Policy at http://bit.ly/3W63rp7.

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

"e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to RMA Groups’s PDPA and e2i’s PDPA.”

Mounika Tanuku|EA Regn. No. R22109193

RMA Consultants Pte Ltd|EA Licence No. 93C4403

[Order Number: 824090]

Responsibilities

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

Requirements

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

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

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

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

Just Graduated/ORD-ED/ Looking for a Change?
Look no further!

As the leading industry expert, Euphoria Organisation is the go-to outsourced sales and marketing firm that renowned businesses rely on to increase their market share and brand awareness.

We are now expanding and looking to groom the next leaders of the industry and bring their careers to greater heights.

Responsibilities:

• Conduct sales and marketing strategies via face-to-face marketing channels to potential clients
• Support and enhance the team's business growth

You can look forward to:

• A Competitive Salary & Performance Bonuses
• 1-on-1 Mentorship
• Career Advancement and Progression
• Personal Development
• Overseas Exposure
• Dynamic Working Culture

Requirements:
* Adaptable & Determined
* No Experience Required as Training is Provided

Apply now if you are the next big thing out there :)

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

At American Express, our mission is to elevate the customer experience daily by delivering unparalleled products and services. We are on the lookout for a Manager in the realm of Artificial Intelligence (AI) and Machine Learning (ML), specializing in Natural Language Processing (NLP) and Generative AI. This role is pivotal in advancing our data science capabilities to bolster enterprise-wide initiatives, in collaboration with our Technology, Marketing, Servicing, and Risk departments.

Role Overview:

As a Manager, NLP and Generative AI, you will play a crucial role in the development and implementation of cutting-edge NLP solutions that address significant business challenges. Working closely with cross-functional teams, you will leverage your expertise in NLP to enhance our product offerings and streamline operational processes. Your contributions will directly impact our strategic goals, driving innovation and excellence in customer interactions.

Key Responsibilities:

• Lead the design and development of NLP and Generative AI projects, ensuring alignment with business objectives and scalability across the organization.
• Conduct applied research in NLP to identify and deploy advanced techniques that enhance our data science capabilities, focusing on delivering practical business solutions.
• Foster a culture of innovation by staying abreast of the latest trends in AI and NLP, and actively sharing knowledge and insights to contribute to the collective growth and technical proficiency of the team.
• Manage project timelines, resources, and deliverables using agile methodologies, ensuring efficient progress from conception to deployment.
• Collaborate with the Technology team to integrate NLP solutions into our existing systems and platforms, enhancing functionality and user engagement.

Qualifications:

• Ph.D. degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Mathematics).
• Extensive experience in machine learning, NLP, and Generative AI, with a demonstrated ability to manage projects from inception to completion.
• Proven expertise in applying deep learning and NLP techniques to solve complex problems, with a portfolio of projects that have delivered tangible business outcomes.
• Solid understanding of Large Language Models and practical experience with Generative AI
• Solid understanding of agile project management principles, with experience leading teams and managing projects in a fast-paced environment.
• Excellent communication and leadership skills, with the ability to collaborate effectively with both technical and non-technical teams.
• Strong problem-solving abilities, with a creative and analytical approach to tackling challenges and driving results.

Job Scope:
We are seeking for a Data Analytics Architect specializing in Azure and Databricks to design, develop, and manage cloud-based data solutions. In this role, you will be responsible for building scalable data pipelines, optimizing data architectures, and ensuring the efficient use of Azure and Databricks services. The ideal candidate will possess deep technical knowledge of Microsoft’s Azure ecosystem, Databricks, and related tools, with a solid focus on delivering high-performance data solutions.

Key Responsibilities:
Azure Architecture and Strategy:

• Design and implement Azure-based data architectures that are scalable, efficient, and aligned with business objectives.
• Develop a data strategy leveraging Azure Data Lake, Azure Synapse Analytics, and Azure Databricks for advanced data processing, storage, and analytics.

Databricks Platform Leadership:

• Lead the development of data pipelines and big data solutions using Azure Databricks, with a solid focus on leveraging Apache Spark for scalable data transformations.
• Optimize Databricks clusters for performance, cost management, and efficient resource utilization.

Data Integration and Extract, Transform, Load (ETL):

• Design, develop, and maintain robust ETL/ELT processes using Azure Data Factory (ADF) and Azure Databricks to ensure seamless data integration across various data sources.
• Lead the transformation of raw data into meaningful and actionable insights through PySpark or Spark SQL in Databricks.

Data Governance and Management:

• Implement and enforce data governance best practices using Azure Purview to ensure compliance, data quality, and integrity across the organization.
• Manage Azure Data Lake storage policies to ensure secure and scalable data management.

Performance Optimization:

• Continuously monitor and improve the performance of Azure SQL Database, Azure Synapse Analytics, and Databricks environments.
• Implement data partitioning, indexing, and other optimization techniques for fast and reliable data access.

Collaboration and Stakeholder Communication:

• Collaborate closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data needs and provide tailored solutions.
• Communicate technical specifications clearly to both technical and non-technical stakeholders.

Team Leadership and Mentoring:

• Lead and mentor a team of data engineers in best practices related to Azure and Databricks platforms.
• Provide guidance on Azure DevOps practices, such as setting up continuous integration/continuous delivery (CI/CD) pipelines for automated data pipeline deployments.

Security and Compliance:

• Implement best practices for securing data at rest and in transit using Azure Key Vault, Azure Active Directory, and role-based access controls.
• Ensure compliance with data privacy regulations and internal security policies.

Job Qualifications:

• Degree in Information Technology or a related field.
• Extensive experience with Azure Data Services, including Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Azure Data Lake, and Azure Storage.
• In-depth knowledge of Azure Databricks for data engineering, including proficiency in Apache Spark, PySpark, and Delta Lake.
• Expertise in Azure Data Factory (ADF) for building complex data pipelines and integrating data from various structured and unstructured sources.
• Proficiency in designing and managing data lakes and data warehouses using Azure Synapse Analytics.
• Excellent experience with SQL, Python, and PySpark for building and optimizing data workflows.
• Proficient in Azure DevOps for implementing CI/CD pipelines and managing code repositories.
• Proficient in performance optimization techniques for Databricks and Azure SQL (e.g., partitioning, indexing, caching).
• Knowledge of cost optimization strategies for Azure resources, ensuring efficient use of cloud services.
• Demonstrated experience leading and mentoring data engineering teams.
• Good communication skills to articulate technical concepts and solutions effectively to both technical and non-technical stakeholders.

Interested candidates can click apply for more information.

** We regret to inform that only shortlisted candidates will be notified. **

We respect your privacy and all communication will be treated with confidentiality. If you wish to know more about this position or explore other roles, please prepare your updated profile and get in touch with our consultants.

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by Manpower for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012.

Rallonza Bernice Mae Nocum | EA License No. 02C3423 Personnel | Registration No. R1442141

Job Description:

As a Senior Architect specializing in Data Centers, you will play a pivotal role in the design and engineering of critical infrastructure systems. You will lead a team of engineers and collaborate with various stakeholders to ensure the successful delivery of data center projects.

Key Responsibilities:

• Design Leadership: Lead the design of data center infrastructure, including electrical, mechanical, and structural systems.
• Project Management: Oversee project timelines, budgets, and resources to ensure projects are completed on time and within budget.
• Collaboration: Work closely with internal teams, external consultants, and regulatory agencies to address design issues and meet project milestones.
• Quality Assurance: Ensure the accuracy and quality of design documents and specifications.
• Process Improvement: Drive continuous improvement in design processes and methodologies.
• Client Engagement: Partner with clients to understand their requirements and deliver solutions that meet their needs.

Requirements:

• Education: Bachelor's or Master's degree in Architecture or a related field.
• Experience: Minimum of 5 years of experience in data center design and engineering.
• Skills: Proficiency in design software such as AutoCAD, Revit, and other relevant tools. Strong project management and leadership skills.
• Certifications: Relevant professional certifications are a plus.
• Communication: Excellent verbal and written communication skills.

Preferred Qualifications:

• Experience with large-scale data center projects.
• Knowledge of industry standards and best practices.
• Ability to work in a fast-paced, dynamic environment.

If you are interested in this opportunity, please submit an application to this job with an updated CV detailing your relevant experience to this job ad or directly

Only shortlisted applicants will be contacted.