Senior Data Scientist - Credit Modeling

We are looking for a Senior Data Scientist with strong modeling experience to help drive M-KOPA’s mission of building transformative lifetime financial partnerships with our customers. "This role offers the opportunity to directly impact millions of customers’ access to credit by building sophisticated credit scoring models and underwriting frameworks. You will be a member of a small team with the big responsibility of continuously improving M-KOPA’s loan offers and eligibility criteria through data-driven insights, machine learning algorithms, and statistical modeling techniques. Your work will have a direct impact on our customers’ financial lives, enabling them to access credit when they need it most. As a Senior Data Scientist, you will be responsible for: • Developing and maintaining complex credit scoring models using Python, R, or other programming languages; • Collaborating with cross-functional teams to design and implement data-driven solutions that drive business outcomes; • Conducting exploratory data analysis and statistical modeling to identify trends, patterns, and correlations in large datasets; • Designing and implementing experiments to test hypotheses and evaluate the effectiveness of new credit scoring models; • Developing and maintaining dashboards and reports to visualize key performance indicators (KPIs) and metrics; • Staying up-to-date with industry trends, best practices, and emerging technologies in data science and machine learning. What We Offer: • Competitive salary and benefits package; • Opportunity to work on a mission-driven project that has the potential to positively impact millions of people’s lives; • Collaborative and dynamic work environment with a talented team of professionals; • Professional development opportunities, including training and mentorship programs; • Flexible working hours and remote work options. Requirements: • Master’s or Ph.D. degree in Data Science, Statistics, Computer Science, or related field; • 5+ years of experience in data science, machine learning, or a related field; • Strong programming skills in Python, R, or other languages; • Experience with data visualization tools such as Tableau, Power BI, or D3.js; • Familiarity with cloud-based technologies such as AWS, Google Cloud, or Azure; • Excellent analytical and problem-solving skills; • Strong communication and collaboration skills.