A rapidly growing, technology-driven consumer lending platform is seeking a Data Scientist to design, implement, and optimize the machine learning models that power its personal loan business. This is a high-impact, hands-on role with visibility, autonomy, and the chance to influence business strategy while collaborating across Marketing, Credit, Technology, and Compliance teams.
What You’ll Do
- Develop, implement, and monitor performance of machine learning models across the loan lifecycle
- Design and run A/B testing frameworks to validate hypotheses and drive continuous improvement
- Explore and analyze data to uncover new opportunities for enhancing model performance and business impact
- Collaborate with cross-functional teams to define KPIs and shape product strategy
- Partner with Technology teams to build scalable data science pipelines for continuous model testing and optimization
- Ensure proper documentation, governance, and model validation in line with financial services regulations
- Degree in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, or a related field
- 4–6 years of experience in Data Science, Analytics, or related roles, ideally within FinTech or online lending
- Strong Python skills for programming, data analysis, and predictive modeling
- Proficiency in SQL, Excel, and experience with data visualization tools
- Hands-on experience with applied statistical methods and predictive modeling techniques, including linear models, decision trees, boosting, and ensemble methods
- Knowledge of optimization, stochastic processes, experimental design, A/B testing, and bootstrapping
- Strong analytical mindset and ability to translate complex data into clear insights
