Senior Data Scientist - Fintech AI & End-to-End Analytics

Founderslaunchpad; Hinoba-an; Hybrid; PHP 1,500,000 - 2,300,000; Full time

Benefits offered by this job

Competitive compensation

Flexible working arrangements

Job summary

Founderslaunchpad is seeking a Senior Data Scientist in the Philippines to own the complete data science workflow, from problem definition to deployment of scalable solutions that drive business growth and innovation.

You will develop and enhance analytical products, translate complex data into actionable strategies, and work with leadership to inform data-driven decisions across the business. This role emphasizes experimentation, collaboration, and delivering measurable value.

Qualifications

• University degree in a relevant field with 5+ years of experience.
• Experience leveraging AI-assisted coding tools and LLMs to enhance workflows.
• Strong Python and SQL skills with hands-on ML experience.
• Experience with data visualization tools and big data/cloud platforms.

Responsibilities

• Own the data science workflow from problem framing to deployment.
• Develop, validate, and productionize predictive models and analytical frameworks.
• Streamline analytics processes for reporting and decision-making.
• Build data-driven features that improve product performance and outcomes.
• Lead end-to-end projects from scoping to delivery and impact assessment.
• Collaborate with internal and external stakeholders to translate analytics into business value.

Skills

Python

SQL

Machine Learning

Data Visualization

Big Data

Cloud Platforms

LLMs

Model Deployment

Education

University degree in Computer Science/Engineering/Data Science

Tools

MongoDB

Tableau

Power BI

Spark

Hadoop

AWS

GCP

Job description

Founderslaunchpad is seeking a Senior Data Scientist in the Philippines to own the complete data science workflow, from problem definition to deployment of scalable solutions that drive business growth and innovation.

You will develop and enhance analytical products, translate complex data into actionable strategies, and work with leadership to inform data-driven decisions across the business. This role emphasizes experimentation, collaboration, and delivering measurable value.