Exploration of banking/financial data, customer data.


- Develop / Build, improve and validate Predictive / Statistical models
- Perform Hypothesis Testing
- Create interactive visualization dashboards
- Work with data – data collection, preprocessing, feature engineering, labeling, validity and reliability estimation
- Find/read/apply modern Machine Learning / Statistical Analysis algorithms/methods, develop experimental models

Required Qualifications:

- University degree in Data Science, Mathematics/Applied Mathematics, Statistics, IT/technical and/or another relevant field
- 1-3 years of relevant experience
- Knowledge of and practical experience with ML models/algorithms (Supervised, Unsupervised, Semi-Supervised Learning)
- Good knowledge of Python programming language, including the knowledge of the following libraries (Pandas, NumPy, SkLearn, ScyPy, Matplotlib, Plotly, Seaborn)
- Ability to read technical documentation in English
- Experience in Deep Learning will be a plus
- Understanding of OOP concepts will be a plus
- Knowledge of T-SQL will be a plus
- Commitment to work and strong sense of responsibility
- Analytical thinking