Data Science Jobs in Philippines
There are 137 open Data Science jobs in Philippines on freehire right now. 17 of them were posted recently. The skills employers ask for most often are machine-learning, python and data-science.
Most requested skills
- machine-learning 73%
- python 72%
- data-science 66%
- analytics 58%
- sql 55%
- ai 55%
- statistics 46%
- cloud 35%
How the work is done
- Hybrid 19 · 14%
- Remote 8 · 6%
- Onsite 1 · 1%
Visa sponsorship offered in 33% of the 3 postings that state a position on it.
Seniority
- Senior 34
- Lead 11
- Middle 4
- C-level 2
- Intern 1
- Junior 1
Who is hiring
- 1000+ employees 20
- 501-1000 employees 5
- 201-500 employees 1
Hybrid Data Scientist — ML & Analytics for FinTech
Build and deploy ML models, analyze payments and spend data, and create visualizations to guide fintech product decisions across Latin America.
Principal Data Scientist, Agentic AI & RAG
Leads evaluation and improvement of a conversational/agentic AI platform using IR and NLP, mentors teams, and drives data-driven product decisions.
Data Scientist
Build predictive models and automate data workflows using Python, SQL, and Tableau to optimize business processes and drive insights for Schneider Electric’s climate-tech operations.
Data Scientist (Fraud)
Build and deploy ML models to detect and prevent fraud in a fast-growing African fintech platform, working cross-functionally to balance loss reduction with customer experience.
AI-Driven Data Scientist: Build Data Solutions for Growth
Build and deploy ML models, analyze datasets, and create visualizations for a recruitment agency in Metro Manila.
Remote Senior Data Scientist, Production ML & AI
Lead ML/AI feature development and production model lifecycle for an influencer marketing SaaS platform, collaborating with product and engineering teams.
AI Data Scientist — Hybrid (Databricks & ML Ops)
Build and evaluate ML models, support LLM applications, and drive data-driven decisions using Databricks, Python, and SQL in a hybrid role.
Senior Data Scientist: Responsible AI & MLOps
Designs and enforces ethical AI/ML governance, audits models for credit, fraud, and marketing, and ensures regulatory compliance for a major Philippine bank.
Data Scientist
Build and deploy large-scale AI solutions for Microsoft’s enterprise customers, using Python/C++ and cloud platforms to analyze data and deliver Responsible AI outcomes.
Data Scientist
Build and deploy production-grade ML models for marketing and personalization at a fast-growing digital bank, solving complex business problems with AI.
Data Scientist
Build and fine-tune ML models (regression, forecasting, classification) and LLM applications using Python, Databricks, and Azure AI Foundry; drive insights with PySpark/SQL and champion MLOps with MLflow.
Senior Data Scientist - Scalable AI for Marketing
Build production-grade ML models to power Maya’s marketing intelligence layer, solving business problems at scale with cross-functional teams.
Hybrid Data Scientist: AI/ML for Enterprise
Build and validate ML models (forecasting, classification) using Databricks and Python, and evaluate LLM-based applications while collaborating with engineers and product teams.
AI/ML Data Scientist for Business Decisions
Design and implement AI/ML frameworks to support business decision-making using Python or R, statistics, and model evaluation.
Senior Data Scientist: Lead Real-Time AI Decisions
Lead AI projects and build real-time decision systems while mentoring junior data scientists in a hybrid role.
Senior Data Scientist
Senior Data Scientist builds fraud-detection models and analyzes patterns to protect financial transactions using machine learning and statistical techniques.
Data Scientist
Build and deploy ML models, analyze datasets, and create dashboards to drive data-driven decisions for a large tech company.
Quantitative Economist & Data Scientist for AI-Driven Food Systems
Leads AI/ML-driven economic and impact analyses to guide R&D investments in rice systems, building data ecosystems and mentoring teams.
Senior Data Scientist: Automarking & Pipelines (Hybrid)
Build and maintain automated scoring systems and data pipelines for digital assessments in a hybrid role at a leading educational publisher.