Data Scientist, AI Lab (AVP/VP)

OCBC (Singapore)

Singapore

On-site

SGD 120,000 - 180,000

Full time

5 days ago
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Benefits offered by this job

Competitive salary
Holistic benefits
Learning & development opportunities

Job summary

OCBC Bank in Singapore seeks an experienced Data Scientist to join a dynamic team shaping the future of banking through AI, ML, and GenAI. You will work across multiple domains to turn data into insights and value.

The ideal candidate has 6–12 years of hands-on data science experience, strong Python skills, and experience with TensorFlow, PyTorch, and Spark. You’ll collaborate with stakeholders to translate business needs into scalable models and data stories.

Qualifications

  • Degree in Computer Science, Data Science, Statistics or related quantitative field.
  • 6–12 years hands‑on experience in data science.
  • Proficient in Python and ML libraries; familiarity with SQL.

Responsibilities

  • Design and deploy AI-driven solutions across multiple business domains.
  • Build and scale predictive and generative models using modern ML frameworks.
  • Explore data and communicate findings to stakeholders clearly.
  • Stay current with trends in ML and GenAI and apply to business challenges.
  • Collaborate with cross‑functional teams on cloud, ML Ops and real‑time data platforms.

Skills

Python
ML libraries
SQL
Deep learning
NLP
Reinforcement learning
Communication
Curiosity

Education

Degree in Computer Science or Data Science

Tools

TensorFlow
PyTorch
scikit-learn
Apache Spark
Hadoop

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.

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