Specialist Data Intelligence (Data Scientist)

About the Role

The Specialist, Data Intelligence is a key member of DKSH's Group Data Intelligence team, responsible for developing and deploying machine learning solutions, predictive models, and artificial intelligence (AI)-powered applications that create measurable business value across multiple markets. This role bridges data science innovation with strategic business outcomes, enabling DKSH to make smarter, data-driven decisions at scale.

What You Will Deliver

• Develop, validate, and deploy machine learning models that address real business challenges and deliver measurable results.
• Conduct exploratory data analysis and feature engineering using large, complex datasets to surface actionable insights.
• Build predictive models leveraging statistical and machine learning techniques to strengthen data-driven decision-making.
• Develop optimization models that enhance operational efficiency and support business planning.
• Collaborate with business stakeholders to translate requirements into practical, highimpact analytical solutions.
• Present findings and recommendations clearly and compellingly to both technical and non-technical audiences.
• Monitor deployed model performance and retrain models to sustain accuracy and relevance over time.
• Contribute to Artificial Intelligence (AI) and Generative AI (GenAI) initiatives, including Large Language Model (LLM)-based applications and intelligent agent development.
• Partner with data engineers to productionize models and automate data pipelines for scalable, reliable deployment.
• Uphold and advance data science best practices, governance standards, and documentation of methodologies, assumptions, and model performance.

What You Bring

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
• 0 to 5 years of experience in Data Science, Machine Learning, Analytics, or a related field; fresh graduates with strong internship or project experience are encouraged to apply.
• Proficiency in Python and Structured Query Language (SQL) for data analysis and model development.
• Hands-on experience with machine learning frameworks including Scikit-learn, XGBoost, and LightGBM.
• Strong capability in data manipulation using Pandas and NumPy. Solid grounding in statistics, hypothesis testing, model evaluation, and validation

  techniques.

• Experience with data visualization tools such as Power BI or equivalent platforms.
• Familiarity with Git version control for collaborative development workflows.
• Exposure to cloud and big data platforms such as Databricks, PySpark, MLflow, or Microsoft Azure is an advantage.
• Familiarity with containerization tools such as Docker is an advantage.
• Exposure to Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering is an advantage.
• Understanding of optimization techniques such as Linear Programming (LP) and Mixed Integer Programming (MIP) is an advantage.
• Strong analytical and problem-solving mindset with sharp attention to detail.
• Clear and confident communicator capable of engaging both technical teams and business stakeholders.
• Curious, self-driven, and able to manage multiple priorities effectively in a fast-paced environment.

Why Join DKSH

At DKSH, we help companies grow in Asia and enable people to perform at their best. You will be part of an organization that values accountability, collaboration, and long-term partnerships. We offer a dynamic environment where your contributions are visible and where you can build a meaningful career in Information Technology.