Data Science Trainee

EPAM Campus offers a free Data Science training program to help you gain market-oriented hard and soft skills alongside IT professionals. In this intensive course, you will dive deep into statistics and data analysis, understand regression, classification and clustering techniques, and explore neural network basics.

This program lasts approximately 4 months and requires approximately 15 hours of weekly engagement. Completing it does not guarantee a job, but it lays a solid foundation to enter the profession confidently in the broader IT market.

Requirements

General requirements:

• Available to citizens and permanent residents of Poland
• Second-to-last or final-year university students and recent graduates
• Aged 18 years and older

Skills requirements:

• English level B2 (Upper-Intermediate) or higher
• Strong knowledge of Python, including the NumPy and Pandas libraries
• Proficiency in mathematical analysis: derivatives, integrals, and extrema of functions in multidimensional real space
• Linear algebra skills: vectors, matrices, tensors, linear equations, eigenvalues and eigenvectors, and quadratic forms
• Knowledge of probability theory: probability definition, conditional probability, Bayes theorem, and expectation
• Command of statistics: basic concepts, hypothesis testing, likelihood, and distribution-parameter estimation
• Understanding of basic optimization concepts and methods: stationary points, Lagrange multipliers, and gradient descent
• Knowledge of data structures and algorithms: sorting algorithms and algorithm complexity

Nice to have:

• Polish fluency at C1 (Advanced) level or higher

We offer

• Industry-focused learning
• Free access to materials and resources designed and regularly refreshed by practitioners
• Intensive, hands-on training through numerous practical assignments
• Regular guidance and actionable feedback from professionals
• Modern educational ecosystem supported by built-in AI tools
• Certificate of completion upon successfully fulfilling all certification requirements
• Opportunity to join the team after successfully completing all stages