NCS is a leading technology services firm that operates across the Asia Pacific region in over 20 cities, providing consulting, digital services, technology solutions, and more. We believe in harnessing the power of technology to achieve extraordinary things, creating lasting value and impact for our communities, partners, and people. Our diverse workforce of 13,000 has delivered large-scale, mission critical, and multi-platform projects for governments and enterprises in Singapore and the APAC region.

As a Senior Data Scientist, you will be responsible for extracting insights and value from complex datasets by applying statistical analysis, machine learning, and data visualization techniques. This role involves collaborating with business stakeholders to understand problems, developing predictive and prescriptive models, and communicating findings to support data-driven decision-making. Data Scientists work closely with data engineers and AI teams to operationalize models and ensure actionable outcomes.

What you will do:

• Analyze large and diverse datasets to identify trends, patterns, and insights
• Develop, train, and validate predictive and classification models
• Analyse and select the appropriate AI foundation models for use where appropriate
• Design experiments and conduct hypothesis testing to support business initiatives
• Collaborate with data engineers to prepare and optimize data for analysis
• Translate analytical findings into clear, actionable recommendations
• Present insights and reports to stakeholders using visual storytelling techniques
• Monitor and maintain models in production environments to ensure ongoing accuracy
• Stay updated on emerging tools, techniques, and best practices in data science

The ideal candidate should possess:

• Proficient in programming languages such as Python or R
• Expertise in statistics, machine learning algorithms, and data mianing techniques
• Experience with data preprocessing, feature engineering, and model validation
• Skilled in data visualization tools and libraries (e.g., Tableau, Power BI, Matplotlib, Seaborn)
• Familiarity with big data platforms (e.g., Spark, Hadoop) and SQL databases
• Knowledge of cloud-based ML platforms (AWS SageMaker, Azure ML, GCP AI Platform)
• Understanding of experimental design and A/B testing
• Ability to communicate complex technical concepts to non-technical stakeholders