Data Scientist (Manager)

Role Overview

As a Data Scientist, you’ll be part of a dynamic team shaping the future of banking through AI, machine learning, and hyper-personalisation. You’ll gain hands-on experience across multiple business domains, working on real-world problems that impact millions of customers.

What You Will Do

Design and deploy AI-driven solutions, build and scale predictive and generative models, explore and apply Agentic AI concepts, work with large-scale structured and unstructured data, and develop compelling data stories.

Why It Might Be a Fit

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, experience with deep learning, NLP, or reinforcement learning, and exposure to big data technologies.

Requirements

• 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)
• Experience with deep learning, NLP, or reinforcement learning
• Exposure to big data technologies such as Hadoop or Apache Spark
• Strong communication and stakeholder engagement skills

Benefits

• Competitive base salary
• Holistic, flexible benefits to suit every lifestyle
• Community initiatives
• Industry-leading learning and professional development opportunities
• Equal opportunity
• Fair employment
• Selection based on ability and fit with our culture and values