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
Senior Data Scientist, AI/ML & Personalization
Lead AI/ML projects to build and productionize models for personalization, churn prediction, and customer behavior analysis in a telecom-focused unit.
Senior Data Scientist: AI/ML for Transit Ops
Lead AI/ML projects to optimize public transport operations and customer experience using Python and advanced analytics.
Senior AI Data Scientist - Generative Models & Risk
Design and build generative AI models and data solutions to extract insights and support risk management for PwC South Africa in Singapore.
AI/ML Data Scientist for Predictive Maintenance (IoT)
Build and deploy AI/ML models for predictive maintenance using real-time IoT data, focusing on production-ready solutions and end-to-end ownership.
Senior AI Data Scientist: Scalable Production Systems
Build and deploy scalable AI systems (Generative AI, NLP) end-to-end, ensuring production quality and mentoring junior engineers in Singapore.
Data Scientist: Government Projects & Predictive Analytics
Build predictive models and dashboards for government projects using Python/R/SQL to analyze and forecast data.
Risk Services - AI Factory (Data Scientist) - Deals Advisory
Build and deploy generative AI and ML models to analyze deal-related data, supporting risk management and client advisory in PwC’s Deals practice.
Data Scientist, Personalization & AI for Games
Build and deploy AI models that personalize gameplay and drive player engagement for Ubisoft’s live games in Asia.
Principal Data Scientist: AI Leader for Public Sector
Lead AI initiatives for a Singapore public-sector team, designing GenAI and ML solutions and guiding enterprise cloud data-science projects.
Data Scientist, AI Applications - Modeling & Insights
Build AI models and dashboards to extract insights from financial data and guide product decisions at a Singapore-based fintech firm.
Data Scientist Intern (AI & Automation)
Company Description ESGpedia is Asia’s leading in ESG data and technology company, headquartered in Singapore. We offer acomprehensive suite of digital solutions on our one-stop platform to empower corporates, SMEs,…
Data Scientist - AI Personalisation for Gaming Engagement
Design and deploy AI models to personalize gaming experiences and improve player engagement across Ubisoft titles.
Senior LLM Data Scientist — Build Multilingual Indonesian AI
Build and fine-tune a multilingual LLM focused on Bahasa Indonesia, curating datasets and aligning models for safe, reliable AI features used by millions.
Risk Services - AI Factory (Data Scientist)
Design and implement generative AI and ML models to extract insights from complex datasets, lead R&D, and mentor junior data scientists for PwC clients.
Senior Data Scientist – Enterprise AI
Design and deploy enterprise-scale AI solutions like pricing optimization and anomaly detection using Python, Spark, and cloud platforms.
Senior Data Scientist - AI, MLOps & Generative ML
Design, build, and deploy AI-driven solutions including generative ML apps with LLMs, LangChain, and vector databases, and optimize end-to-end ML pipelines on AWS.
Senior Data Scientist
Build and deploy ML models to forecast commodity flows and detect anomalies using geospatial and maritime data, working end-to-end from prototyping to production on AWS.
Remote Data Scientist: Generative AI Ethics & Impact
Researches ethical implications of generative AI systems, ensuring fairness and accountability while leveraging Python or R.