Data Science Jobs in Singapore
There are 517 open Data Science jobs in Singapore on freehire right now. 109 of them were posted recently. The skills employers ask for most often are machine-learning, data-science and ai.
Most requested skills
- machine-learning 83%
- data-science 78%
- ai 77%
- python 74%
- analytics 54%
- statistics 49%
- sql 47%
- cloud 40%
How the work is done
- Onsite 39 · 8%
- Hybrid 31 · 6%
- Remote 6 · 1%
Visa sponsorship offered in 88% of the 49 postings that state a position on it.
Seniority
- Senior 144
- Intern 41
- Lead 25
- Staff 23
- Principal 20
- C-level 10
Who is hiring
- 1000+ employees 134
- 501-1000 employees 23
- 51-200 employees 7
- 11-50 employees 4
- 201-500 employees 1
Data Scientist / Big Data Analyst | Algorithm Models
Develop and optimize AI models (e.g., CNN, Transformer, ViT) for computer vision and surveillance, using Python/C++ and frameworks like PyTorch/TensorFlow.
Remote Data Scientist Intern - AI & Compliance Accelerator
Build and validate ML models to improve AI agent decision quality and KYC compliance workflows using Python and SQL.
VP, Data Science & AI Engineering Lead
Lead a team building and deploying AI/ML applications for a private bank, using Python, JavaScript, and Google Cloud Platform while managing cloud services and stakeholder collaboration.
Data Scientist, Product, App Ecosystem and Trust
Data Scientist analyzing Android ecosystem abuse trends to protect 3B+ users, partnering with Product and Engineering to define metrics and drive decisions using Python, R, and SQL.
AI-Driven Manufacturing Data Scientist
Design AI agents and predictive models for manufacturing, using digital twins and simulations to optimize production and autonomous decision-making.
Data Scientist with Software Engineering
Builds and integrates ML models for data generation and privacy, writes Python code, and collaborates with engineers to deploy models via REST APIs on cloud platforms.
Data Scientist – NLP, Generative AI & Production ML
Build and deploy NLP and generative AI models for public-service applications, collaborating with policy and tech teams to prototype and productionize solutions.
Data Scientist, AI/ML Predictive Maintenance Platform
Build AI/ML models for real-time predictive maintenance using IoT sensor data, deploying models every 1–2 weeks and monitoring performance in production.
Applied AI Data Scientist for Industry Impact
Build AI-driven solutions to tackle industry challenges in Singapore, leading technical assessments and developing microservice-based components with partners.
Digital Tax Data Scientist Intern: AI Analytics & Risk
Intern in PwC South Africa’s Digital Tax team, building and testing Generative AI models to analyze tax data and assess risk for stakeholders.
Game Data Scientist Intern - AI & Insights
Research-focused data scientist role building AI models and analytics to improve player engagement using game data, recommender systems, and NLP.
Senior Data Scientist
Senior data scientist builds and validates contextual bandit systems for retail e-commerce on AWS SageMaker, then takes 24/7 production ownership including monitoring, retraining, and A/B testing.
Principal Data Scientist
Lead AI and data-science initiatives for a public-sector agency, translating complex models into business value and guiding cross-functional teams on Gen/Agentic AI solutions.
Singapore On-site Airwallex Staff Data Scientist, Algorithm (Payments Optimization)
Staff Data Scientist at Airwallex to lead algorithmic optimization for global payments, improving conversion, fraud risk, and cost via advanced ML and experimentation.
Staff LLM Data Scientist: Lead Travel AI & RAG Systems
Lead the design and deployment of LLM-powered travel planning, pricing, and booking systems using RAG and ML/NLP techniques in a high-volume environment.
Senior Generative AI Data Scientist for Underwriting
Build and deploy generative AI models to automate and enhance underwriting processes using Python, SQL, and OpenAI services.
Data Scientist: AI & Analytics for Real-World Impact
Design and deploy ML models and analytics to extract insights from large datasets, collaborating with stakeholders and engineers to solve business challenges.