Job Description

Roles & Responsibilities We are a top 8 global IT services company with operations in 50+ countries. We offer an advanced portfolio of application, business process, cloud, and infrastructure service Roles & Responsibilities We are a top 8 global IT services company with operations in 50+ countries. We offer an advanced portfolio of application, business process, cloud, and infrastructure services to businesses and governments worldwide. NTT DATA Singapore PTE Ltd is a wholly owned subsidiary of NTT DATA Corp, a part of NTT Group, the world's 65th Largest Company according to Fortune Magazine. At NTT DATA SINGAPORE , we pride ourselves on being an inclusive and equal opportunity employer that puts our people and clients first. We welcome different ideas, backgrounds and passionate individuals to join us in our inclusive environment to achieve stronger and better results through teamwork, foresight, and innovation. We pledge to create a harmonious and nurturing culture, where all individuals feel a sense of pride and belonging, regardless of age, gender identity, race, sexual orientation, physical or mental ability, ethnicity COLLECTION, USE AND DISCLOSURE OF PERSONAL DATA - NTT DATA will be assessing and evaluating your suitability for employment/appointment or continued employment/appointment in any position within our organisation ' EMAIL ID : Interested candidates, please email your resume to What do we offer Employment Type : Contract Multiple Openings : 10 Location : Changi/MBFC Experience: 4 + years We are looking for a Data Scientist / Product Manager, to assist in building of AI/ML platform capabilities for the bank, responsibilities include : . Work closely with senior product managers and product owners to define the product vision, roadmap, and requirements for AI Industrialization Tooling. . Capture the requirements as user stories with clearly defined success metrics and acceptance criteria. . Participate in key agile rituals (e.g., daily stand-up, backlog refinement, sprint planning, sprint review, etc.,) and work closely with ML engineers and product developers to ensure that requirements are clearly understood by the developers. Track the product development progress and identify any potential risk and issues. . Lead and conduct product UAT - Clearly define UAT test scenarios and acceptance criteria - Conduct test cases and document the test results with identified errors/issues - Lead the communication with ML engineers and product developers to ensure the errors/issues identified during UAT are fixed before the release the product. . Collaborate with customer success team to develop product training materials . Engage the analytics community and key stakeholders from different BU/SUs within the Bank to understand their requirements and priorities to ensure the product delivered under AI Industrialization meet the real needs. . Engage the analytics community within the bank to promote the products and drive for higher adoption and user satisfaction. . At least Bachelor's degree in in computer science, business analytics, statistics, or related fields . Proficient with Python/Pyspark and SQL - Must Have . Demonstrated experience of applying data science and machine learning methods to real-world data problems . Familiar with both AI/ML Lifecyle (e.g., CRISP-DM) and Analytics software development lifecycle . Familiar with popular data science workbench and tools (e.g, Cloudera Data Science Workbench, Amazon SageMaker, DataRobot, Dataiku, etc.) . Highly effective cross-functional team communication and collaboration . Exceptional writing skills combined with strong presentation and public speaking skills. ' EMAIL ID : Interested candidates, please email your resume to