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 Applications Data Scientist — Impactful Analytics
Build and validate AI models, analyze data, and create dashboards to support AI-driven features in a fintech-like product company based in Singapore.
Data Analyst / Data Scientist
Analyze user behavior and product metrics to guide e-commerce product decisions, build dashboards, and develop ML models for user behavior prediction.
Senior Data Scientist
Senior Data Scientist builds predictive and prescriptive models using Python, SQL, and Spark to extract insights and automate large-scale analytics for business decisions at HPE.
Senior Data Scientist
Build and deploy ML models (propensity, recommendation, LTV) on AWS SageMaker and use LLMs for personalisation and analytics to drive revenue growth in a digital bank.
Senior Data Scientist, AI-Driven Smart Manufacturing
Build AI/ML models and data pipelines to optimize semiconductor manufacturing quality, yield, and cycle time in a global team.
Data Scientist - Digital Health & Sensor Data Analytics
Builds ML models to extract clinical insights from wearable sensor data, collaborating with customers to validate algorithms and improve digital health outcomes.
Data Scientist - Digital Health & Sensor Data Analytics
Builds ML models to extract clinical insights from wearable sensor data, focusing on time-series analysis and digital health applications.
Information Technology - Data Scientist (Data Science Track)
Build and deploy AI/ML models (LLMs, NLP, vision, recommender systems) as scalable microservices, working with cloud partners and business teams to drive data-driven decisions.
Data Scientist (AI Projects)
Leads end-to-end AI projects, translating business needs into technical solutions and managing delivery from ideation to production deployment.
Data Scientist (Public Sector)
Builds and maintains data pipelines, applies ML models, and creates dashboards to extract insights from utility and infrastructure datasets for public-sector stakeholders.
Senior Data Scientist / Machine Learning Engineer
Title: Senior Data Scientist / Machine Learning Engineer Job ID: 22393 Location: Digital Hub, SG Description About ST Engineering ST Engineering is a global technology, defence, and engineering group with offices…
Associate AI Engineer / Data Scientist
Line of Service Assurance Industry/Sector FS X-Sector Specialism Assurance Management Level Associate Job Description & Summary At PwC, we help clients build trust and reinvent so they can turn complexity into…
Principal Data Scientist (User Understanding Platformisation)
Principal Data Scientist to lead AI-driven user understanding and generative recommendation systems for Grab’s platform, building shared ML capabilities that power personalized search, chatbots, and notifications across Southeast Asia.
Senior Data Scientist
Lead AI and machine-learning initiatives for Manulife’s insurance business in Asia, building predictive/prescriptive models and GenAI solutions to drive sales, underwriting, and customer engagement while ensuring robust governance and measurable business impact.
Data Scientist
Build and maintain data/ML pipelines on Snowflake and Azure, create Qlik visualizations, and deploy models via DevOps/ML Ops for a logistics-focused data platform.
Senior Data Scientist
Senior Data Scientist builds predictive models and analytics to inform public-sector decisions, partners with product teams, and translates data into actionable insights.