Data Scientist, AI Lab (AVP/VP)
At a glance
VP-level AI Research role at Ocbc. OCBC Singapore · full-time.
Pay not stated AI Research salary
aimlroles summary, based on the employer's posting.
What you'll do
- Design and launch AI solutions for copilots, recommendations and retrieval-augmented generation
- Build predictive and generative models, then scale them using current machine learning methods
- Apply agentic AI to automate decisions and improve customer engagement
- Analyze structured and unstructured data, then turn findings into clear visual stories
- Work with other teams on solutions using cloud, ML operations and real-time data platforms
What you bring
- A degree in computer science, data science, statistics or another related quantitative field
- Six to twelve years of practical data science work
- Python skills and experience with modern machine learning libraries, plus familiarity with SQL
- Experience in deep learning, NLP or reinforcement learning, with exposure to big data tools such as Hadoop or Spark
Who this fits
This role suits a senior data scientist who enjoys applying machine learning and generative AI to business problems, communicating findings, and working with data scientists and business partners. Team management may be part of the role, depending on your seniority. The position is based in Singapore and is hybrid.
From the employer
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.