DBS Internship Programme offers university students a unique opportunity to gain hands-on experience. Whether your interests lie in banking, AI, technology, data, sustainability, risk management, operations, finance, human resources, marketing or other corporate functions, you will work alongside experienced professionals on meaningful work that contribute to real business outcomes. Technology Offers opportunities to work on the platforms, systems, and digital products that power the bank. You will gain hands-on experience in designing, developing, supporting, and enhancing technology solutions that serve millions of customers across the region. Depending on team and project requirements, you may have opportunities to: Develop and enhance applications, platforms, and digital products. Contribute to cloud, infrastructure, platform engineering, and DevOps initiatives. Support cybersecurity, system reliability, and operational excellence efforts. Work with data, automation, and emerging technologies to improve business processes. Participate in solution design, testing, deployment, and continuous improvement activities. Collaborate with cross-functional teams in an agile and fast-paced environment. AI & Data Science Offers opportunities to leverage data, analytics, and artificial intelligence to solve real-world business challenges and enhance customer experiences. You will work alongside teams that use data-driven insights and emerging AI technologies to drive innovation across the bank. Depending on team and project requirements, you may have opportunities to: Build GenAI & Agentic AI Solutions: Build LLM-powered applications such as copilots and AI agents, including exploring cutting-edge Agentic frameworks, prompt & context engineering, building and integrating reusable tools, performing evaluations, and implementing safety guardrails. Ensure Responsible AI and Engineering Standards: Govern AI solutions to be safe, reliable, and scalable with proper testing, guardrails and security controls. Develop Machine Learning and Deep Learning Models: Develop, train, and tune predictive models using modern ML and deep learning approaches, including frameworks such as PyTorch. Apply MLOps and Deployment Practices: Apply MLOps principles to ensure reproducibility, versioning, deployment readiness, and monitoring of models in real enterprise environments. Learn Through Community and Practice: Master GenAI and Agentic AI through productive community sharing workshops including the latest research & frameworks, hands-on sessions, etc. At DBS, we value talent that grows with us. Students who have previously completed a DBS internship and demonstrated strong performance will receive priority consideration when applying for future internship opportunities as well as Management Associate Programme. This allows returning interns to continue building their skills, deepen their experience, and explore new opportunities across the bank. Who Are We Looking For Pursuing a degree in Data Science, Analytics, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related discipline. – AI & Data Science Pursuing a degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline. - Technology Matriculated undergraduate or postgraduate students from any discipline Priority consideration is given to penultimate year students; selected roles may be open to students in other years of study Able to commit to a full-time internship for a minimum of 12 weeks Able to obtain university endorsement for DBS internship Passionate about a career in banking and financial services Strong communicators who can engage effectively with stakeholders at all levels Agile, curious and motivated to thrive in a fast-paced and dynamic work environment Application Process Submit your application online through our AI-powered recruiter, JIM. Complete the online assessments, which include: Cognitive Assessment Behavioural Assessment Coding Assessment (for Technology, AI & Data Science roles) Review the list of job opportunities and rank your preferred internship job codes in order of interest Interview selection: Shortlisted candidates will be invited for interviews. Due to the high volume of applications, only shortlisted candidates will be notified. Application deadline: Applications for DBS Internship Programme will close in March 2027. Early applications are encouraged as opportunities may be filled on a rolling basis. For Technology and AI & Data Science: Please click on this link to view the list of job opportunities. You will rank your preferences during the application process. Location: DBS Asia Central Job: Programme Hire Schedule: Regular Employee Status: 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.

2027 DBS Internship (Technology and AI & Data Science).

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