Data Science Trainee

EPAM Systems invites ambitious individuals to join the EPAM Campus Data Science training program. This intensive, four-month educational initiative is designed to equip participants with market-oriented hard and soft skills, providing a solid foundation for a professional career in the data science field.

Key responsibilities

• Engage in an intensive learning curriculum covering statistics and data analysis.
• Master regression, classification, and clustering techniques.
• Explore the fundamentals of neural networks through practical assignments.
• Participate in a structured program requiring approximately 15 hours of weekly commitment.

Requirements

• Strong proficiency in Python, including the NumPy and Pandas libraries.
• Solid understanding of mathematical analysis, linear algebra, and probability theory.
• Knowledge of statistics, optimization methods, and data structures.
• English language proficiency at a B2 level or higher.
• Status as a university student in the final or second-to-last year, or a recent graduate.

What we offer

• Access to industry-focused learning materials designed by experienced practitioners.
• Hands-on training experience with regular guidance and actionable feedback.
• Utilization of a modern educational ecosystem supported by AI tools.
• A certificate of completion upon successfully fulfilling all program requirements.
• Potential opportunity to join the EPAM team following successful completion of the training.