Senior data scientist in Pershiy Ukrayinskiy Mizhnarodniy Bank (PUMB)

Qualifications and experience. Necessary: ​​Higher financial and economic, mathematical or information technology education. At least 3 years of work experience in the field of Data Science/Machine Learning in the banking, financial or information technology fields. At least 3 years of Python programming experience years (including libraries for ML numpy, pandas, scikit-learn, pytorch, seaborn) Experience with SQL for at least 3 years (including writing queries, procedures and query optimization) Experience with version control systems (github, gitlab) Learning skills of classic machine learning models (classification, regression, clustering) and neural networks. Experience in conducting end-to-end Data science projects (including problem statement, metric definition, data collection and preparation, EDA, modeling, model interpretation, presentation of the obtained of results to the customer, model deployment, performance monitoring) Skills in choosing the most appropriate model, architecture for a specific business task Presentation skills, including explaining complex concepts in a format understandable to a non-technical audience Desired: A/V testing skills Experience in developing and deploying machine learning models in the form of a REST API Experience development of web applications in Streamlit, Panel for presenting the results of data analysis and machine learning models Big Data skills Your role: High-quality and timely solution of business tasks in the direction of data analysis using machine learning methods to obtain the maximum business effect. Regular communication with other divisions of the bank for setting tasks with business 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 appropriate machine learning models or statistical models for solving specific business tasks. Interpretation of forecasts of machine learning models. Presentation of the obtained results and insights to business customers. Deployment of Data Science models to automate the solution of relevant business tasks. Creation of necessary reports, monitoring of models' effectiveness. Support of models, generation of ideas for their further improvement. solving Data Science tasks Why PUMB? One of the best employers in Ukraine; Comfortable workplace; Professional and friendly team; Possibility of participation in cross-functional projects; Decent remuneration, completely "white salary"; Constant development of competencies and opportunities for professional growth.