Senior data scientist in Pershiy Ukrayinskiy Mizhnarodniy Bank, AT / PUMB

Qualifications and experience. Necessary: ​​Higher financial and economic, mathematical or information technology education. Work experience of at least 3 years in the field of Data Science/Machine Learning in banking, finance or the field of information technologies. Python programming experience of at least 3 years (including .library for ML numpy, pandas, scikit-learn, pytorch, seaborn) Experience of working with SQL for at least 3 years (including writing queries, procedures and query optimization) Experience of working with version control systems (github, gitlab) Learning skills of classic machine learning models (classification, regression, clustering) and neural networks Experience in conducting data science end-to-end projects (including problem statement, metric definition, data collection and preparation, EDA, modeling, model interpretation, presentation of the obtained results to the customer, model deployment, performance monitoring) Skills in choosing the most appropriate models, architectures for a specific business task Presentation skills, including explaining complex concepts in an understandable format for a non-technical audience Desirable: A/V testing skills Experience in developing and deploying machine learning models in the form of a REST API Experience in developing web applications in Streamlit, Panel for presenting the results of data analysis and machine learning models Work skills with BigDataYour role: High-quality and timely solution of business tasks in the direction of data analysis with the help of machine learning methods to obtain the maximum business effect. Regular communication with other divisions of the bank to set business tasks based on predicative analytics for the growth of the bank's profit. Downloading and preparation of data for the implementation of Data Science models for solving relevant business tasks. Selection and application of relevant machine learning models or statistical models for solving specific business tasks. Interpretation of forecasts of machine learning models. Presentation of obtained results and insights to business customers. Deployment of Data Science models for automating the solution of relevant business tasks. Support of models, generation of ideas for their further improvement. The technical lead is involved in Data Science projects. Research of new models, methods and tools for solving Data Science tasks. Why PUMB? One of the best employers in Ukraine; Comfortable workplace; ;Decent remuneration, completely "white salary";Constant development of competencies and opportunities for professional growth.