Data Science - MGR

OCBC (Singapore); Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading financial services provider in Singapore is looking for a Data Scientist to join their team. You will analyze large datasets, develop predictive models, and provide insights to drive business decisions. The ideal candidate has a degree in Computer Science or Statistics, 3+ years of experience, and strong programming skills in Python, R, or SQL. The role offers a competitive salary and flexible benefits, with a strong emphasis on professional development.

Benefits

Competitive base salary

Holistic flexible benefits

Industry-leading learning opportunities

Qualifications

• 3+ years of experience in data science or a related field.
• Strong programming skills in languages such as Python, R, or SQL.
• Experience with machine learning algorithms and data modelling techniques.

Responsibilities

• Develop and deploy predictive models to drive business decisions.
• Analyze large datasets to identify trends and patterns.
• Collaborate with stakeholders to understand business needs and develop solutions.
• Design and implement data visualisations to communicate insights.
• Stay up‑to‑date with the latest developments in data science and machine learning.

Skills

Data analysis

Machine learning

Python

R

SQL

Communication skills

Collaboration

Education

Degree in Computer Science or Statistics

Tools

Python

R

SQL

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.

DATA SCIENTIST

WHY JOIN

Imagine being part of a team that uses data to drive business decisions and create a competitive edge for OCBC. As a Data Scientist, you'll have the opportunity to work with large datasets, develop predictive models, and provide insights that inform strategic decision‑making. You'll be part of a team that’s passionate about using data to make a difference.

HOW YOU SUCCEED

To succeed in this role, you'll need to be able to extract insights from complex data sets, communicate your findings effectively to stakeholders, and work collaboratively with cross‑functional teams. You'll need to stay up‑to‑date with the latest developments in data science and machine learning, and be able to apply these skills to drive business outcomes.

WHAT YOU DO

• Develop and deploy predictive models to drive business decisions
• Analyze large datasets to identify trends and patterns
• Collaborate with stakeholders to understand business needs and develop solutions
• Design and implement data visualisations to communicate insights
• Stay up‑to‑date with the latest developments in data science and machine learning

WHO YOU ARE

• A degree in Computer Science, Statistics, or a related field
• 3+ years of experience in data science or a related field
• Strong programming skills in languages such as Python, R, or SQL
• Experience with machine learning algorithms and data modelling techniques
• Excellent communication and collaboration skills
• A passion for using data to drive business decisions

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. Equal opportunity. Fair employment. Selection based on ability and fit with our culture and values. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.