Data Scientist, AI Lab (AVP/VP)

Job description

WHO WE ARE: As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires. Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future. We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career. Your Opportunity Starts Here. Why Join Us At OCBC, we believe in the power of data to drive meaningful change. As a Data Scientist, you’ll be part of a dynamic team that’s shaping the future of banking through AI, machine learning. You’ll gain hands-on experience across multiple business domains, working on real-world problems that impact millions of customers. This is a growth-focused role designed to help you build strong foundations in data science while contributing to innovative solutions that enhance customer experience, improve operational efficiency, and support strategic decision-making. How You Succeed You’ll succeed by being curious, collaborative, and committed to learning. You’ll work closely with experienced data scientists and business stakeholders to: Explore data and uncover insights that drive action Apply modern machine learning techniques to solve business challenges Communicate findings clearly and effectively Stay current with emerging trends in Machine Learning & GenAI What You’ll Do Design and deploy AI-driven solutions for genAI copilots, recommendations, RAG and etc Build and scale predictive and generative models using modern ML Explore and apply Agentic AI concepts to automate decision-making and enhance customer engagement Work with large-scale structured and unstructured data across multiple domains Develop compelling data stories through advanced visualization and storytelling techniques Partner with cross-functional teams to co-create innovative solutions using the latest in cloud, ML Ops, and real-time data platforms You may need to manage a team, depending on your seniority Who You Are A degree in Computer Science, Data Science, Statistics, or a related quantitative field 6-12 years of hands-on experience in data science Proficient in Python and modern ML libraries (e.g., TensorFlow, PyTorch, scikit-learn); familiarity with SQL Experience with deep learning, NLP, or reinforcement learning, and exposure to big data technologies such as Hadoop or Apache Spark Strong communication and stakeholder engagement skills A curious mindset with a passion for continuous learning and experimentation What we offer: Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.