AVP/VP, Data Scientist, Institutional Banking Group Data Chapter, Transformation and Data, Group COO

Job 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 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 IBG Data Chapter, you will: Understand & Define Business Needs: Understand business concerns, objectives, and high-level business operations. Collaborate closely with stakeholders to get things done, securing clear problem definitions, operational levers, and success metrics.

Lead Solution Development & Implementation

Independently or collaboratively develop, implement, and deploy advanced AI/ML, GenAI, and Agentic AI solutions tailored to IBG's specific business requirements. Ensure you are familiar with AI/ML techniques, capable of implementing models, and able to interpret and explain model results to stakeholders. Manage End-to-End Project Lifecycle, Scope and Governance: Drive data science projects from problem definition and data exploration through to model deployment while adhering to project scope, timelines, and AI model governance Data Discovery & Engineering: Leverage internal tools like Collibra to find data, perform SQL queries in Superset and DBS frameworks (i.e., DALI), and build well-structured code incorporating linting, unit tests, and Git version control.

Technical Integration & Code Quality

Collaborate with tech teams to integrate and deploy AI solutions, review code, and maintain documentation as a habit.

Drive Innovation & Think Ahead

Stay abreast of the latest advancements in AI/ML, GenAI, and Agentic AI, proactively thinking one step ahead to identify and champion 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. 3+ years (commensurate with rank) of relevant experience in AI or data science.

Expertise & Skills

Deep AI/ML/GenAI Domain Knowledge: Comprehensive understanding and hands-on experience with Artificial Intelligence, Machine Learning (AIML), Generative AI (GenAI), and Agentic AI concepts and methodologies.

Proactive & Results-Driven

Possess a proactive "can-do" attitude, consistently striving for excellence and committed to delivering high-quality, impactful solutions while thinking one step ahead. Being resourceful with end-to-end critical thinking to find out solutions even in unfamiliar scenarios.

Clear Communication

Articulate complex technical concepts and model interpretations 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