Senior Applied Data Scientist

ocbc; Singapore; On-site; SGD 120,000 - 240,000; Full time

Job summary

OCBC is seeking a Data Analyst to drive data-driven decisions, leveraging data science, machine learning and generative AI to address business challenges and deliver measurable value across customer and enterprise outcomes. Collaborate with cross-functional teams to translate business needs into AI-enabled solutions.

You will work with data engineers and the Group Data Office to deploy models, monitor performance, and ensure governance.

Qualifications

• Postgraduate degree in a quantitative field.
• Minimum 10 years of data science/AI experience with measurable outcomes.
• Hands-on programming skills and production-grade practices.

Responsibilities

• Apply data science, ML, AI to address business challenges and create value.
• Collaborate with stakeholders to identify high-impact opportunities for data and AI.
• Translate objectives into analytical frameworks and models.
• Develop ML/AI models for customer lifecycle and risk management.
• Deploy models in production with monitoring and governance.

Skills

Data analysis

Machine learning

Python

SQL

Stakeholder communication

Big data platforms

Education

Postgraduate degree in Statistics or related quantitative field

Tools

Hadoop

Trino

Vector Databases

Ray

AWS Cloud

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

Unlock the power of data to drive business growth and customer satisfaction. As a Data Analyst at OCBC, you'll play a critical role in helping us make informed decisions and stay ahead of the competition. With a strong focus on innovation and customer‑centricity, you'll have the opportunity to work with cutting‑edge technologies and collaborate with cross‑functional teams to drive business outcomes.

How you succeed

To succeed in this role, you'll need to be a data-driven problem solver with a passion for analysis and insights. You'll work closely with stakeholders to understand business needs and develop data-driven solutions to address them. Your ability to communicate complex data insights effectively will be key to driving business decisions and outcomes.

What you do

• Drive the application of data science, advanced analytics, machine learning, conventional AI and generative AI to address business challenges and create measurable value for customers and the business.
• Partner closely with business stakeholders to identify high‑impact opportunities where data, analytics and AI can enhance customer experience, improve decision‑making, strengthen risk management and drive business growth.
• Translate business objectives and problem statements into analytical frameworks, machine learning models and AI solutions, ensuring alignment with business priorities and outcomes.
• Generate actionable insights across the SME customer lifecycle, from start‑up and early‑stage businesses to established mid‑sized and large enterprises, supporting customer acquisition, deepening, engagement and retention strategies.
• Conduct in‑depth analysis of customer transactional behaviour, network relationships, borrowing patterns and evolving financial needs to uncover growth opportunities and emerging risks.
• Design, develop, validate and enhance machine learning, deep learning and AI models to support use cases such as customer propensity modelling, next‑best‑action recommendations, fraud detection, risk assessment and customer needs anticipation.
• Evaluate and incorporate emerging AI and data science techniques, including generative AI capabilities, to improve business processes, customer interactions and operational effectiveness.
• Collaborate with cross‑functional teams and Group Data Office to deploy models into production and ensure ongoing monitoring, governance and performance optimisation.
• Partner with Data Engineering teams to identify, source, curate and integrate internal and external datasets required for scalable analytics, model development and AI solutions.
• Contribute to the development of the bank's Data & AI capabilities by promoting best practices in model development, responsible AI, experimentation and data‑driven decision‑making.

Who you are

• Postgraduate degree in Statistics, Mathematics, Computer Science, Software Engineering, Data Science, or a related quantitative discipline.
• Minimum 10 years of experience in Data Science, Customer Analytics, Machine Learning, or AI solution development, with a strong track record of delivering measurable business outcomes.
• Proven expertise in manipulating large and complex datasets, developing statistical models, and applying advanced analytics to solve business challenges.
• Strong hands‑on programming skills, with a solid understanding of software engineering principles, AI/ML architecture, design patterns, and production‑grade development practices.
• Experience working with large‑scale and distributed data platforms and technologies, including Hadoop, Trino, Vector Databases (e.g., Elastic), and Ray.
• Experience in designing, training, deploying, monitoring, and optimizing Machine Learning and Generative AI solutions in production environments at scale.
• Exposure to Large Language Model (LLM) fine‑tuning, distillation, Retrieval‑Augmented Generation (RAG), and AI application development would be advantageous.
• Knowledge of AWS Cloud and AI services, including Amazon Bedrock, SageMaker AI, EKS, EC2 GPU instances