Intern, Data Science

As a Data Science Intern, you will have the opportunity to work on real-world data science projects that directly impact business decisions. Throughout this internship you will focus on enhancing Kapitus's credit risk prediction models, along with exploring new data sources and applying advanced machine learning techniques to improve the accuracy and interpretability of our underwriting models. The data science department is responsible for developing and deploying machine learning models that support critical business functions across the organization, including Sales & Marketing, Underwriting, Collections, and Finance. These models play a vital role in optimizing decision-making, improving efficiency, and driving business growth. What You'll Do: Credit Risk Prediction Model Enhancement Develop a refined model with improved predictive power and actionable insights for underwriting decisions. Improve the accuracy and interpretability of our underwriting models by incorporating alternative data sources. Evaluate new feature sets from transactional and bank statement data. Test different machine learning techniques and optimize the model for better risk assessment. Data Exploration & Preprocessing Work on data cleaning, feature engineering, and preparing the dataset for model development. Model Development & Evaluation Build and refine machine learning models using appropriate techniques and evaluate their performance using metrics such as accuracy, precision, and recall. Business Insights & Recommendations Translate model results into actionable business insights and propose ways to implement these findings. Data Visualization & Reporting Create data visualizations to effectively communicate results and insights to business stakeholders. What We Are Looking For: Proficient in Python (Pandas, NumPy) or R for data analysis and manipulation. Experience with machine learning libraries such as scikit-learn, TensorFlow, or similar. Familiarity with algorithms such as regression, classification, clustering, etc. Ability to create clear and informative visualizations using tools like Matplotlib, Seaborn, or Tableau. Strong understanding of statistical methods for model evaluation and hypothesis testing. Ability to think critically and solve complex problems using data-driven approaches. Strong written and verbal communication skills, with the ability to present technical results to non-technical stakeholders.

At Kapitus, we strive to empower every business to succeed by providing the best financing options – when they need it and how they need it. Whether we are working with a business directly or through a strategic partner, we will work diligently to provide the most convenient, cost- effective and appropriate financing solution for a business's needs. We promise to keep the best interests of our clients at the center of the financing process by operating with transparency, fairness, and integrity. We will continue to empower small businesses to make educated financial decisions, as we have since our inception in 2006.