Data Science Trainee Remote
Data Science Trainee Description
Description
EPAM Campus offers expert-led training designed to help you excel in the data-driven world and master a leading profession. Register if you wish to build a solid foundation in software engineering and explore statistics and data analysis.
Program Path & Stages
In the 3-month program (~12 hours of weekly engagement), you will explore self-study materials, complete assigned tasks and participate in regular group Q&A Session to discuss questions with EPAM mentors.
During the program, you will accomplish regression, classification and clustering techniques, along with the basics of deep learning and neural networks. If you showcase impressive results and pass a technical interview successfully, we will then invite you to join one of the proposed mentoring programs (~20 hours of weekly commitment): Computer Vision, Natural Language Processing, ML Engineering, Time Series or Recommendation Systems.
While completing the training doesn’t guarantee employment, it will provide you with the practical knowledge and hands-on experience needed to confidently enter the profession, whether at our company or on the broader market.
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What You Have
- English proficiency level from Upper-Intermediate (B2) and higher
- Proficiency in mathematical analysis, linear algebra, probability theory and statistics
- Understanding of basic optimization concepts and methods
- Knowledge of data structures and algorithms
- Familiarity with Python fundamentals (NumPy and Pandas in particular)
- Fluency in Georgian at C1 (Advanced) level or higher
We Offer
- Free training program and educational materials
- Comprehensive learning path and sessions with mentors
- Engineering community of industry’s top professionals
- Opportunity to study remotely within Georgia
- Access to EPAM internal resources for Lab students
- A certificate upon successful completion of the program
About EPAM
- As consultants, designers, architects, engineers and trainers, at EPAM we focus on building long-term partnerships with our customers, enabling them to reimagine their businesses through a digital lens. We help our customers become faster, more agile and more adaptive enterprises, by delivering solutions through best-in-class engineering, strategy, design, consulting, education and innovation services
