Pershiy Ukrayinskiy Mizhnarodniy Bank, AT / PUMB
Qualifications and experience.RequiredHigher financial and economic, mathematical or information technology education.Work experience of at least 2 years in the field of Data Science/Machine Learning in the banking, financial or information technology sphereExperience Python programming at least 2 years (including machine learning libraries numpy, pandas, scikit-learn, pytorch, seaborn)SQL experience at least 2 years (incl. writing queries, procedures and query optimization)Experience with versi
Qualifications and experience.
Required
- Higher financial and economic, mathematical or information technology education.
- Work experience of at least 2 years in the field of Data Science/Machine Learning in the banking, financial or information technology sphere
- Experience Python programming at least 2 years (including machine learning libraries numpy, pandas, scikit-learn, pytorch, seaborn)
- SQL experience at least 2 years (incl. writing queries, procedures and query optimization)
- Experience with version control systems (github, gitlab)
- Skills in preparing different types of data for modeling
- Skills in learning classical machine learning models (classification, regression, clustering)
- Interpretation skills of machine learning models
- Presentation skills, including explaining complex concepts in a format understandable to a non-technical audience
Favorites
- Skills for preparing reports for monitoring model results using PowerBI, Tableu, SSRS
- Skills for deploying machine learning models
- Skills for training machine learning models based on neural networks
- A/B testing skills
- BigData skills
Functional requirements'links
- 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 departments of the bank to set business tasks on the basis of predicative analytics for the growth of the bank's profit
- Uploading and preparation of data for the implementation of Data Science models for solving relevant business tasks
- Implementation, training and interpretation of Data Science models for solving relevant business tasks< /li>
- Presentation of obtained results and insights to business customers
- Creation of necessary reports, monitoring of model performance
- Support of models, generation of ideas for their further improvement
- Research of new models, methods and tools for solving Data Science tasks, demonstrations and lectures based on research results for the team
Why PUMB?
- One of the best employers in Ukraine
- Flexible work schedule with the possibility of remote work
- Professional and friendly team
- Tsikavi and diverse tasks and projects, which are implemented using modern approaches and technologies
- Decent remuneration, completely "white salary"
- Continuous development of competencies and the possibility of professional growth
- Medical insurance