Senior Data Scientist

Location: Manila, Philippines | Hybrid (3 days onsite/week)

About the Role Drive strategic decision-making by replacing legacy financial systems with scalable, state-of-the-art architectures using Python, advanced analytics, and Generative AI. You will design end-to-end data pipelines, build machine learning models, and create interactive visualizations to transform complex financial data into actionable insights. This role plays a key part in modernizing enterprise-wide projection models and cloud data platforms.

Key Responsibilities

• Design, develop, and deploy machine learning models, Generative AI applications, and statistical models.
• Reprogram legacy VBA and Excel-based financial models into optimized, scalable Python code.
• Build, maintain, and automate scalable data pipelines and ETL processes within cloud environments.
• Create interactive, high-impact dashboards and reports using Power BI to support stakeholder decisions.
• Collaborate with cross-functional Agile teams and key business stakeholders to ensure data quality, integrity, and alignment with organizational goals.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Information Technology, Engineering, or a related field (Advanced degrees or certifications in ML/AI are a plus).
• Minimum of 5 years of hands-on experience in data science, advanced analytics, or related technical roles.
• Demonstrated experience in building machine learning models, statistical modeling, and Generative AI applications.
• Strong proficiency in Python, R, SQL, and data visualization tools like Power BI.
• Hands-on experience building and maintaining automated data pipelines and familiarity with cloud platforms (Azure or AWS).
• Excellent analytical, problem-solving, storytelling, and English communication skills, with experience working in Agile settings.