Qualifications and experience.
Required
- Higher financial and economic, mathematical or information technology education.
- Experience of not less than 2 years in the field of Data Science/Machine Learning in banking, finance or information technology field
- Experience of Python programming not less than 2- x years (including libraries for machine learning numpy, pandas, scikit-learn, pytorch, seaborn)
- Experience with SQL at least 2 years (including writing queries, procedures and query optimization)
- Experience with version control systems (github, gitlab)
- Skills in preparing different types of data for modeling
- Skills for training classic machine learning models (classification, regression, clustering)
- Skills for interpreting machine learning models
- Presentation skills, including explaining complex concepts in a format understandable to a non-technical audience
machine learning
Skills for training machine learning models based on neural networksA/B testing skillsSkills for working with BigData< p>
Functional duties'responsibilities- 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 based on predicative analytics for the growth of the bank's profit
- Download and data preparation for the implementation of Data Science models to solve relevant business tasks
- Implementation, training and interpretation of Data Science models to solve relevant business tasks
- Presentation of the obtained results and insights to business customers
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- Creating the necessary reports, monitoring the performance of models
- Supporting models, generating ideas for their further improvement
- Researching new models, methods and tools for solving Data Science tasks, demonstrations and lectures based on the results of research for the team
Why PUMB? employers of UkraineFlexible work schedule with the possibility of remote workProfessional and friendly teamInteresting and diverse tasks and projects that are implemented using modern approaches and technologies< /li>