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:

• Bachelor’s or postgraduate degree in computer science, mathematics, statistics, or a related field, with at least 1 year of relevant experience.
• Strong technical expertise, including:
• Machine Learning & Statistical Modelling: Regression, forecasting, supervised learning (e.g., gradient boosted trees, neural networks), segmentation, clustering, design of experiments, causal inference.
• Data Manipulation: Skilled in SQL, Python, Spark, Hadoop/Hive, and Databricks.
• Data Visualisation: Proficiency with tools such as Power BI.
• Engineering Practices: Familiarity with modular code design, reproducibility, testing, and version control (GitHub, GitLab, Bitbucket).
• Strong problem-solving mindset with the ability to address complex business challenges through data-driven approaches.
• Collaborative team player with a customer-first approach and a passion for improving user experiences.
• Excellent communication skills, with the ability to translate data insights into clear, actionable narratives for both technical and non-technical audiences.

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email protected] 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