Senior Data Scientist Lead

Role overview Lead analytical and machine learning work that converts microfinance data into business recommendations and deployable solutions. The role combines technical leadership, strategic planning, product ideation, client engagement, and communication with executive stakeholders.

Responsibilities - Partner with data engineering and data science teams on technical and strategic priorities. - Analyze microfinance data and develop recommendations for business decisions. - Present findings and proposed actions to executive teams. - Guide implementation of recommendations and evaluate their results. - Design, build, and deploy machine learning models and statistical optimizations. - Investigate product feasibility, define MVP scope, and support technical development.

Requirements - Honours-level degree in engineering, mathematics, computer science, or another STEM discipline. - At least three years of experience presenting analytics to business teams in a client-facing role. - At least three years of experience conducting analysis, generating findings, and implementing improvements. - Fundamental understanding of machine learning and statistics. - Experience manipulating data with Python; PySpark is a plus. - Experience with data visualization and communicating effectively with executive stakeholders.

Nice to have A master’s degree and hands-on machine learning experience are advantageous. An entrepreneurial, client-focused approach and a strong interest in problem solving, product creation, and continuous learning are also valued.

Benefits and work setup Remote and hybrid work options, learning and development opportunities, and unlimited annual leave are provided.