Data Scientist - D01 Cecil, Marina, People’s Park, Raffles Place, SG

Roles & Responsibilities

As a Data Scientist , you will play a pivotal role in uncovering deep customer insights and developing AI / ML solutions that unlock business value across multiple product lines. Your work will enable the identification of growth opportunities, support personalised engagement strategies, and drive data-informed decisions to enhance customer experiences and long-term value.

This role sits at the intersection of data, AI / ML, and business strategy , serving as a key enabler in translating the company’s AI vision into impactful, data-driven solutions. You will collaborate closely with cross-functional teams across business, technology, and analytics functions, as well as external partners, to develop, validate, and operationalize machine learning models and GenAI applications designed for scalability and long-term growth.

Make an Impact By :

• Partner with stakeholders to identify high-value opportunities, define problem statements, and design end-to-end AI / ML solutions (including Generative AI and LLM implementations) aligned with business objectives.
• Build, test, and integrate analytical models into decision-making engines. Champion best practices for deployment, scalability, and monitoring in production environments.
• Apply advanced techniques to uncover insights on customer behaviour, lifecycle patterns, and preferences. Deliver actionable recommendations to enhance engagement and drive growth.
• Enable robust data exploration, A / B testing, segmentation, and optimisation strategies to continuously improve outcomes.
• Present complex analytical findings in a clear and compelling manner to diverse audiences, from technical teams to senior leadership.
• Maintain high standards in coding, version control, and documentation to ensure collaboration and reproducibility. Work in cloud-based environments with a focus on cost efficiency and performance.

Skills for Success :

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at kfok@morganmckinley.com with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Kin Long Fok

Morgan McKinley Pte Ltd

EA Licence No : 11C5502 | EAP Registration No : R2095054

Tell employers what skills you have

Excellent Communication Skills

Machine Learning

Forecasting

Design of Experiments

Segmentation

Mathematics

Business Strategy

SQL

Python

Statistics

Ab Testing

Power BI

Data Visualisation