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 guiding a team of data scientists and engineers to develop and deploy AI-driven solutions that address real-world business challenges.

What you will do:

• Team Leadership:
  Lead, mentor, and inspire a team of data scientists, fostering a culture of collaboration and continuous improvement.
• Technical Strategy & Execution:
  Architect and implement scalable machine learning systems from ideation to production. Develop advanced statistical models and optimization algorithms to solve complex business problems.
• Client & Stakeholder Engagement:
  Act as a technical advisor for client projects by translating business requirements into actionable data science solutions.
• Operational Excellence:
  Drive best practices in MLOps, including the effective use of feature stores, model registries, and evaluation frameworks, to ensure the reliability and efficiency of AI systems.
• Pre-sales guidance:

Support presales efforts by providing technical insights and strategic recommendations.

The ideal candidate should possess:

• Strong foundation in mathematics, statistics, and operations research
• Proven experience deploying AI and machine learning solutions in production environments.
• Hands-on expertise in search algorithms, deep learning, and natural language processing (NLP).
• Demonstrated leadership skills and effective stakeholder management.
• Familiarity with MLOps practices and tools is a plus.
• Excellent problem-solving abilities and clear communication skills
• Familiarity with vector databases, chunking, reranking, MLFlow, feature store, model registry, MLOps, GenAIOps
• Ragas, Promptfoo, DeepEval, LLM as judge
• OptAPlanner, TimeFold
• pandas, Scikit learn, XGBoost, SeaBorn, Numpy
• PyTorch, TensorFlow
• SQL, Spark
• Jupyter notebook
• coding, system design