1. Minimum of 2 years of work experience in Data Science.

2. Experience in Data Science in application to lending & finance.

3. Bachelor or master’s degree in Engineering, Computer Science, Operational Research, Statistics, Mathematics, Physics or a related field.

4. Mastery of Python, SQL, and Python ML libraries.

5. Solid knowledge of applied statistics and machine learning.

6. Experience of building / deploying models and maintaining them in production.

7. Experience in data science models for credit/risk/fraud.

8. Experience with PyTorch, Tensorflow, sci-kit-learn, pandas, matplotlib, Keras, etc.

9. Experience with natural language processing and social network analysis.

10. Competitive experience on Kaggle, ACM ICPC, IMO/IOI (Big Plus).