Senior Specialist AI Specialist (Data Scientist)

The AI Specialist will drive the development of predictive models and advanced analytics solutions that generate meaningful business impact for DKSH. In this role, you will serve as a key contributor to the organization’s data-driven transformation, collaborating with cross-functional teams and translating complex insights into strategic recommendations that support growth across DKSH’s markets in Asia.

What You Will Deliver

• Drive rapid prototyping of innovative ideas, transforming concepts into tangible data-driven solutions with speed and efficiency.
• Lead data science projects end-to-end, from ideation and data preparation through to model development, deployment, and performance monitoring.
• Develop and implement predictive models and machine learning algorithms using Python, TensorFlow, or PyTorch.
• Analyze complex datasets to uncover actionable insights that support data-driven decision-making across the business.
• Build dashboards and visualizations that communicate impactful insights and enable informed business decisions.
• Apply Machine Learning Operations (MLOps) practices to manage and deploy models in production environments using the Azure cloud platform, Docker, and Continuous Integration/Continuous Delivery (CI/CD) pipelines.
• Translate complex analytical findings into clear, business-oriented recommendations for both technical and non-technical stakeholders.
• Apply Agile methodologies to plan and execute data science projects effectively and on schedule.
• Stay current with emerging trends in data science and proactively champion new technologies and methodologies within the organization.
• Influence stakeholder opinions and decisions by articulating complex concepts in accessible, business-friendly language.
• Administrative duties and coordination tasks as required.

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; advanced degrees or relevant certifications are advantageous.
• Minimum 5 years of relevant experience in data science, analytics, or related areas.
• Proficiency in Python, TensorFlow, or PyTorch.
• Strong foundation in statistics, machine learning, algorithms, and data structures.
• Demonstrated experience with data visualization tools to communicate insights effectively.
• Experience in predictive analytics and operational excellence.
• Solid understanding of Agile and Scrum methodologies.
• Experience with MLOps practices, including model deployment, monitoring, and CI/CD for data science workflows.
• Knowledge of modern Artificial Intelligence (AI) techniques, including generative AI and advanced machine learning methods.
• Strong problem-solving and analytical thinking skills.
• Experience with MLOps tools such as MLflow or similar frameworks.
• Familiarity with containerization and orchestration tools such as Docker.
• Ability to work independently and manage multiple projects simultaneously.
• Innovative mindset with a passion for continuous learning and introducing new technologies.