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
AI Engineer/Data Scientist
Build and deploy AI/ML systems to solve engineering and construction challenges for high-tech facilities using Python, C++, and frameworks like PyTorch or TensorFlow.
AI Solutions Engineer - Data Science & LLMs
Design, fine-tune, and deploy LLMs and ML models to solve business problems using internal data and secure infrastructure.
Advisor, Data Science & Feature Engineering
Design and build scalable feature pipelines for ML and GenAI systems, engineering features from structured and unstructured data to power Dell’s supply-chain analytics.
Intern, Data Science and Engineer
Intern in Scoot’s data team building ETL pipelines, statistical models, and BI dashboards while contributing to generative-AI applications.
Data Science Engineer for Smart Manufacturing
Build ML models and analytics pipelines to optimize smart manufacturing processes using large datasets from multiple sources.
Data Science Engineer for PDA (Photonics), IME
Build automated test systems and data pipelines for silicon photonic devices using Python, instrument control, and ML to analyze optical measurements and optimize chip performance.
Data Science Engineer - ML & AI Innovator
Design and implement ML and Generative AI models to optimize business processes, productionize them in cloud environments, and mentor teams on scalable solutions.
GenAI & Data Science Engineer for Growth & Innovation
Build and deploy GenAI and ML models (LLMs, RAG, embeddings) to power forecasting, recommendations, and AI apps that enhance customer experiences at a global fashion brand.
Data Science Engineer: Big Data, Simulation & Insights
Builds predictive models and analyzes large datasets to extract insights for semiconductor manufacturing optimization and client services.
Data Science Engineer
Design and implement scalable data-science models (ML, optimization, simulation, generative/agentic AI) in cloud environments, then productionize them with engineering teams to drive business impact.
Data Scientist, Market Growth (Lifecycle)
Build and optimize ML models for crypto marketing: predict user behavior, forecast LTV, and allocate ad spend to drive growth on Binance’s exchange platform.
Senior Data Scientist, Personalization & Payments
Build ML models to personalize GoPay’s features and recommendations, working with product and engineering teams to boost user engagement.
Senior Data Scientist, Multilingual LLMs & Responsible AI
Designs and trains multilingual large language models while ensuring responsible AI behavior and collaborating with product and engineering teams.
AI/ML Data Scientist – Real-Time Predictive Maintenance
Build AI/ML models for real-time predictive maintenance using IoT data, applying classical and generative techniques to optimize data center asset performance and reliability.
Lead Data Scientist
Lead a team to build and deploy predictive/prescriptive models using Python, Spark, and ML/AI, driving data-driven decisions and scalable analytics solutions.
Sensor Data Scientist - Digital Health & AI Insights
Build ML models and real-time pipelines to extract insights from clinical sensor data, using time-series analysis and AI techniques like prompt engineering and RAG.
Senior Data Scientist
Builds ML models (classification, fraud detection) and analyzes user behavior to guide product decisions, collaborating with engineers and product owners.