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About the Role
As a Data Scientist in the AI Lab, you will be part of a dynamic team shaping the future of banking through AI, machine learning, and hyper-personalisation. You will 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.
Responsibilities
- 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 AI and data science
- 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 visualisation 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
Requirements
- A degree in Computer Science, Data Science, Statistics, or a related quantitative field
- 2–5 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
Skills
- AI
- Machine Learning
- Hyper-personalisation
- Python
- TensorFlow
- PyTorch
- scikit-learn
- SQL
- Deep Learning
- NLP
- Reinforcement Learning
- Hadoop
- Apache Spark
- Data Visualisation
- ML Ops
- Real-time data platforms
Location
- Singapore
Work Type
- Full-time
Experience Level
- 2-5 years
Education Level
- Degree in Computer Science, Data Science, Statistics, or a related quantitative field
Salary/Compensations
- Competitive base salary
Benefits
- Holistic, flexible benefits to suit every lifestyle
- Community initiatives
- Industry-leading learning and professional development opportunities
About the Company
- Singapore’s longest established bank, dedicated to enabling individuals and businesses to achieve their aspirations since 1932.
- On a journey of transformation, leveraging technology and creativity to become a future-ready learning organisation.
- Strategic ambition is to be Asia’s leading financial services partner for a sustainable future.