Applied AI Data Scientist — Enterprise Analytics & GenAI

NCS; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

NCS in Singapore seeks a Data Scientist to design, develop and deploy advanced analytics and ML solutions across industries. You will translate business challenges into production-ready data science work, collaborating with stakeholders and engineering teams to deliver impact.

You will apply statistics, NLP, optimisation, and simulation, building scalable models and dashboards. Expect mentorship, client advisory duties, and cross-functional collaboration in a fast-paced environment.

Qualifications

• Strong ability to communicate complex quantitative analysis in a concise, actionable manner.
• Experience with high-volume, high-dimensional structured and unstructured data.
• Expertise in feature selection and feature engineering across diverse data types.
• Solid grounding in machine learning techniques (supervised and unsupervised).
• Deep understanding of advanced analytics (statistics, NLP, optimisation, simulation).
• Strong programming skills in Python and/or R; experience with Apache Spark or similar frameworks.
• Experience using LLMs for GenAI or Agentic AI solution development.
• Hands-on experience with data visualization tools and libraries (Tableau, Qlik, Plotly, ggplot2, Shiny).
• Experience in model deployment and lifecycle management using Docker and Kubernetes.

Responsibilities

• Translate customer pain points into clear analytical problem statements and solution architectures.
• Design, build, and iterate end-to-end data science workflows from data ingestion to deployment.
• Apply statistical analysis, machine learning, NLP, optimisation, and simulation techniques to solve problems.
• Perform statistically sound model validation and justify model performance.
• Build scalable ML models for production deployment and monitoring.
• Operationalise analytics workflows using Python/R and distributed processing frameworks like Spark.
• Deploy and manage models using containerisation with Docker and orchestration with Kubernetes.
• Leverage LLMs to build GenAI or Agentic AI solutions where appropriate.
• Design impactful dashboards and visualisations to communicate actionable insights.
• Present results to technical and non-technical audiences; act as adviser to clients.
• Collaborate with project managers and technical leads on analytics requirements.
• Contribute to data architecture and engineering decisions supporting analytics use cases.
• Participate in Agile or Waterfall projects and internal communities.
• Mentor and upskill junior data scientists and peers.

Skills

Communication

Data analysis

Feature engineering

Machine learning

Statistics

NLP

Optimization

Simulation

Python

R

Apache Spark

LLMs / GenAI

Data visualization

Docker

Kubernetes

Education

Master's degree in Mathematics/Statistics/Business Analytics

PhD preferred

Tools

Tableau

Qlik

Plotly

ggplot2

Shiny

Docker

Kubernetes

Apache Spark

Job description

NCS in Singapore seeks a Data Scientist to design, develop and deploy advanced analytics and ML solutions across industries. You will translate business challenges into production-ready data science work, collaborating with stakeholders and engineering teams to deliver impact.

You will apply statistics, NLP, optimisation, and simulation, building scalable models and dashboards. Expect mentorship, client advisory duties, and cross-functional collaboration in a fast-paced environment.