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 [Confidential Information] 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
