Senior Data Scientist

Founderslaunchpad; Philippines; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive compensation

Flexible working arrangements

Impactful, high-visibility projects

Job summary

A fintech startup in the Philippines seeks a Senior Data Scientist to lead data science workflows and drive innovation. Responsibilities include developing predictive models, leveraging AI tools, and collaborating with leadership for data-driven decision making. The ideal candidate has a degree in a relevant field and 5+ years of experience, including familiarity with big data technologies and strong communication skills.

Qualifications

• 5+ years of experience in data science
• Experience in building or improving end-to-end modeling pipelines
• Proven ability to work independently and manage priorities

Responsibilities

• Own the entire data science workflow from problem definition to deployment
• Develop and validate predictive models and analytical frameworks
• Lead end-to-end projects from scoping to delivery

Skills

AI-assisted coding tools

Machine learning techniques

Data visualization

Problem-solving

Analytical mindset

Education

University degree in Computer Science, Engineering, Data Science, or related field

Tools

Python

SQL

MongoDB

Tableau

Power BI

AWS

Azure

GCP

Spark

Hadoop

Job description

We're looking for a self-starter Senior Data Scientist to join the team!

Job Summary

Join us in building the future of credit infrastructure in the Philippines! We're looking for a self-starter Senior Data Scientist who can own the entire data science workflow, from defining the problem to deploying scalable solutions that drive business growth and innovation. The role encompasses developing and enhancing analytical products and insights, while working closely with leadership to translate complex data into actionable strategies, drive innovation across existing offerings, and support data-driven growth and decision-making across the business.

What You’ll Do

• Leverage AI tools and large language models (LLMs) to accelerate data exploration, model development, and automation
• Develop, enhance, and validate predictive models and analytical frameworks
• Streamline analytical processes to support reporting, monitoring, and business decision-making
• Build data-driven features and insights that enhance product performance and business outcomes
• Contribute to research and development of new data products and modeling approaches
• Work with diverse data sources, including credit, behavioral, transactional, and alternative data
• Lead end-to-end projects: from scoping to implementation and delivery
• Collaborate with internal stakeholders and external partners to translate analytics into value

What We’re Looking For

• Startup / Fintech experience in APAC, ideally in the Philippines
• University degree in Computer Science, Engineering, Data Science, or a related field with 5+ years of experience
• Experience leveraging AI-assisted coding tools and large language models (LLMs) to enhance data science workflows
• Solid understanding of machine learning and predictive modeling techniques and hands‑on experience with Python and SQL. Experience in MongoDB is a plus
• Experience in data visualization tools (e.g., Tableau, Power BI, Matplotlib, Metabase)
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP, Spark, Hadoop) is a strong plus
• Experience in building or improving end-to-end modeling pipelines
• Proven ability to work independently, manage priorities, and deliver results in a dynamic environment
• Excellent communication skills — able to explain complex topics clearly to business and technical audiences
• Strong problem‑solving and analytical mindset with the ability to tackle ambiguous business challenges

Why Join LenderLink

• Be part of a fast‑growing fintech startup shaping the next generation of credit infrastructure in Southeast Asia while impacting financial inclusion
• Work on impactful, high‑visibility projects that combine technical challenges with direct business outcomes
• Collaborate closely with leadership and cross‑functional teams, gaining exposure to product strategy, innovation, and decision‑making
• Competitive compensation and flexible working arrangements