Top Data Science Jobs in the Philippines

Lead analytic client engagements in the Financial Services sector, developing predictive risk management and business intelligence solutions using data science methodologies.

Lead the Asia-Pacific Innovation engineering team, developing and delivering AI solutions and driving innovation strategy across the bank. Responsible for stakeholder engagement, talent management, and establishing best practices in AI development.

The Solutions Manager is responsible for managing Data Management & Analytics solutions, meeting quota targets, developing proposals, and ensuring client satisfaction through technical presentations.

This is a student position focused on data transformation projects involving hyper-automation, data science, analytics, and digital user experience.

The Sales Representative is responsible for increasing partner origination, maintaining relationships with retailers, training teams, and achieving sales targets through field work and marketing strategies.

The Sales Representative will enhance partner origination, maintain relationships with retailers, meet sales targets, and conduct market analysis in their territory.

The Sales Representative will enhance partner integration, boost sales targets, conduct store visits, train staff, and foster partner relationships.

The Quality Manager will oversee quality processes, implement strategies, analyze performance metrics, identify improvements, and coordinate with cross-functional teams to enhance quality standards.

The Head of Sales leads revenue growth in the Philippines, managing relationships with agencies and driving commercial strategy, ensuring to achieve sales targets and form trusted partnerships.

Intern will gain hands-on experience in data analytics and Power BI, assist with data preparation, quality checks, reporting, and dashboard projects.

As a Data Scientist I, you'll collect and process data, develop and deploy machine learning models, and enhance analysis using AI while collaborating with teams to solve business problems.

Responsible for collecting and processing data, developing machine learning models, utilizing generative AI, and collaborating with cross-functional teams to solve business problems.