Senior Associate, Data Scientist, Institutional Banking Group Data Chapter, at DBS Bank

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

18 Jul, 26

Salary

0.0

Posted On

19 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, Problem-solving, Data exploration, Model deployment, Feature engineering, Stakeholder management, Technical communication, Analytical skills, Project lifecycle management, Institutional banking

Industry

Description

About DBS DBS Bank is a leading financial services group in Asia, with a presence in 18 markets. Headquartered and listed in Singapore, DBS is at the forefront of leveraging digital technology to shape the future of banking. As a bank born and bred in Asia, DBS understands the intricacies of doing business in the region’s most dynamic markets. We are committed to making banking joyful and impactful through our innovative solutions and customer-centric approach. Join us to be part of a team that is reimagining banking and making a positive difference in the lives of our customers and communities. The Opportunity DBS Bank is looking for a highly motivated and skilled Data Scientist to join our dynamic Data Chapter within the Institutional Banking Group (IBG). This role offers an exciting opportunity to build and deliver cutting-edge Artificial Intelligence, Machine Learning (AIML), Generative AI (GenAI), and Agentic AI solutions that address critical business needs within the Institutional Banking domain. Responsibilities As a Data Scientist in the IBG Data Chapter, you will: Lead Solution Development: Independently develop, implement, and deploy advanced AIML, GenAI, and Agentic AI solutions tailored to IBG's specific business requirements. Manage End-to-End Project Lifecycle: Drive data science projects from problem definition and data exploration through to model deployment and ongoing monitoring. Strategic Stakeholder Collaboration: Partner closely with business stakeholders to translate challenges into actionable data science problems. Seamless Technical Integration: Collaborate with tech teams to integrate and deploy AI solutions onto front-end platforms, ensuring robustness and scalability. Drive Innovation: Stay abreast of the latest advancements in AIML, GenAI, and Agentic AI, proactively identifying and championing strategic applications within IBG. Requirements Qualifications & Experience: A Bachelor's degree in a quantitative field (e.g., Data Science, Computer Science, Statistics, Mathematics, Engineering) is required, with a postgraduate degree preferred. Minimum of 3 years of relevant experience in AI or data science. Expertise & Skills: Technical & Analytical Prowess: Demonstrated strong technical and analytical capabilities with a proven track record in data science projects and exceptional problem-solving skills. Deep AI/ML Domain Knowledge: Comprehensive understanding and hands-on experience with Artificial Intelligence, Machine Learning (AIML), Generative AI (GenAI), and Agentic AI concepts and methodologies. Full Data Science Lifecycle Mastery: Proficient in the entire data science development lifecycle, encompassing data collection, preprocessing, feature engineering, model development, rigorous validation, deployment, and ongoing maintenance. Soft Skills: Proactive & Results-Driven: Possess a proactive "can-do" attitude, consistently striving for excellence and committed to delivering high-quality, impactful solutions. Exceptional Communication: Articulate complex technical concepts clearly and concisely to both technical and non-technical audiences. Continuous Learner & Growth Mindset: Demonstrate a strong desire for continuous learning, staying current with emerging AI/ML technologies and best practices, and embracing personal and professional development. Apply Now If you are a passionate Data Scientist who thrives in a challenging and innovative environment and are eager to make a significant impact through cutting-edge AI solutions within the banking industry, we encourage you to apply. Join DBS and help us shape the future of banking. Location: DBS Asia Central Job: Analytics Schedule: Regular Employee Status: Full time DBS is more than a bank — we're shaping the future of finance and communities. With innovation at our core and impact in our DNA, we go beyond banking to build careers, relationships, and a better world. DBS is a leading financial services group in Asia with a presence in 19 markets. Headquartered and listed in Singapore, DBS is in the three key Asian axes of growth: Greater China, Southeast Asia and South Asia. Recognised for its global leadership, DBS has been named “World’s Best Bank” by Global Finance, “World’s Best Bank” by Euromoney and “Global Bank of the Year” by The Banker. The bank is at the forefront of leveraging digital technology to shape the future of banking, having been named “World’s Best Digital Bank” by Euromoney and the world’s “Most Innovative in Digital Banking” by The Banker. In addition, DBS has been accorded the “Safest Bank in Asia” award by Global Finance for 15 consecutive years from 2009 to 2023. DBS provides a full range of services in consumer, SME and corporate banking. As a bank born and bred in Asia, DBS understands the intricacies of doing business in the region’s most dynamic markets and is committed to building lasting relationships with customers. With its extensive network of operations in Asia and emphasis on engaging and empowering its staff, DBS presents exciting career opportunities.

Responsibilities

The Data Scientist will lead the development and deployment of advanced AI, machine learning, and generative AI solutions to address institutional banking business requirements. They will manage the end-to-end project lifecycle, from problem definition and data exploration to model deployment and stakeholder collaboration.